# Social Media Information Credibility Based on User Perception and Cloud Computing System

Authors: Zhen Dai; Hongxiao Fei
Journal: Mobile Information Systems
 (2022)

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## Abstract

While people enjoy the convenience brought by more and more technological developments, its importance is also more widely known. Big data and cloud computing are the two most typical representatives of many new information technologies, and their combination is also the general trend. But big data will also have privacy and security issues in cloud computing. Displayed security mechanisms and implicit security mechanisms are the two main directions for discussion, so that user privacy and security can be in the big data that it is well guaranteed when processing the calculations and storage. The rapid development of social media has been widely used, but it has also brought new social problems, such as the increasing difficulty of verifying the authenticity of information. This article will discuss the influence of the credibility of social media on the credibility of social media from the perspectives of the credibility of the communicator and the information media, the quality of the information, the reason for the transmission, and the form of expression. The influence on information credibility and information quality is the relationship between information credibility and other influencing factors when trust tendency and information involvement have become moderating variables.


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## Body

## 1. Introduction

The ways of obtaining information on the Internet are becoming more and more diversified under the promotion of Internet technology. Compared with the situation in which users passively receive information in traditional media, online media provides a relatively free expression space for a broad audience [1]. Users can not only receive network information, but also publish information and become information producers. This breaks the situation of passive information dissemination in the past. At the same time, information exchange and sharing are also completed in this process [2]. According to an article titled “Statistical Report on China’s Internet Development Status” published by the China Network Technology Information Center on August 2019, in June 2019, China’s Internet users had exceeded 800 million people, and the Internet penetration rate had exceeded 60%. With the improvement of network construction and the improvement of living standards, more and more individuals have joined the Internet application team. People communicate, entertain, and work through the Internet, making Internet applications gradually become an integral part of people’s lives [3]. There are many types of products in the current network application market, and there are many communication and comprehensive social media [4]. The communication application software is mainly based on Tencent’s QQ and WeChat, which can meet the basic social needs of the public and has a high usage rate. The integrated social application tools are mainly represented by Weibo and WeChat Moments, allowing users to enjoy, express yourself, and make new friends, and some social software provides users with social information consultation in certain areas, such as information and live video through the user’s social circle, so that the information spread faster and promote to drive the rapid development of vertical social applications, further enrich the content of social platforms, and enhance the user stickiness [5]. Mary Meeker emphasized in the “2019 Internet Trend Report” that short videos have promoted the growth of Internet traffic and usage time in China. The widespread use of new media systems such as short videos has changed the way people communicate and broke the pattern of traditional media and the law of information dissemination [6].With the rapid advancement of information technology, human life has undergone earth-shaking changes. The benefits of this innovation are being enjoyed by more and more people, and its importance is gradually being recognized by more and more industries. Big data and cloud computing are undoubtedly the two most prominent examples of all new technologies, and the combination of the two has become an inevitable trend [7]. Like all network information technologies, user information security problems often appear with the network, and this problem also exists widely in cloud computing platforms [8]. This article will focus on solving this problem, starting from a safe mechanism, to make users trust the big data platform more.


## 2. Related Work

The literature found through combining the previous research results that the research on the credibility of social media information continues the research methods in traditional media, starting from the perspectives of information sources, information quality, information dissemination media, and user characteristics. We have researched and explored the influence mechanism of relevant factors [9]. The literature takes the Facebook platform as the research object, uses the detailed as much as possible model (ELM model) to determine the research factors of information credibility from the two aspects of information media and content, and establishes a research model to predict the individual’s socialization perception of the credibility of information in the media platform. The results show that media dependence, content interaction, and the intensity of argumentation are important factors in judging the credibility of information [10]. Literature studied the influencing factors of the credibility of Weibo information, and pointed out that the internal characteristics of the information such as the number of repetitions, reposting, and the number of related hashtags in social media platforms and the number of fans of the author, authentication level, and other users’ basic characteristics are the main factors affecting the credibility [11]. The Literature mainly conducts research from multiple aspects such as information source and content, information evaluation, and user’s feelings and characteristics in order to build a model, and study the relationship between various elements through the ANP and DEMATEL systems [12]. The Literature pointed out that the objectivity, completeness of the content, the professionalism of the information source, the authority, and the motivation for publishing are important factors influencing the credibility of the virtual Q&A community, providing a reliable basis for relevant communities to enhance the credibility of the knowledge content [13]. Through a large amount of data analysis, the literature found that whether the information content is useful, objective, and whether it is related to reality will affect users’ judgments on the credibility of social media information [14].


## 3. Construction of Cloud Computing Security Privacy System Based on User Perception

### 3.1. Cloud Computing System Framework

SaaS, PaaS, and IaaS are the three operating modes of cloud computing platforms. SaaS software is the service mode, and it can provide external services with the support of suppliers. This software does not require users to store and maintain their own data. But through the purchase of services to complete their tasks, and only need customers to purchase this service to obtain results. The PaaS platform is a form of service. This model of cloud service providers provides users with a computing platform. Users use the platform to create and develop applications. Users use the computing functions of the platform to design and develop software, which can also reduce costs. The IaaS platform is a service method, which reduces the cost of user monitoring infrastructure, and only needs to control and detect the operation process to maximize the benefits. Flow chart of cloud computing is shown in Figure1.Figure 1
Flow chart of cloud computing.The key to cloud big data lies in the storage and use of data. Therefore, it will inevitably encounter the problem of security and privacy protection. Compared with general data, big data has a longer storage time and can be accessed and used more frequently, but the privacy of customers is safe. The index is greatly reduced in the environment of big data, and there is a risk of data tampering. The information contained in big data is extremely valuable. Once leaked, it will cause huge losses to the company, country, department, or individual. The privacy and security issues caused by big data platforms are mainly concentrated in the following areas: the staff of big data companies may maliciously leak or use user information. Users of big data do not know where their information is stored, and there is no way to control their information. In the process of data uploading, user information is more likely to be stolen. At the same time, the big data environment is very complicated. The limitation of basic facilities and the intrusion of outside criminals make it easier for users to expose their personal privacy. Not only in the upload process, but also in the processing process, there are also high risks. When the data is processed by the platform, many technologies and encryption methods are not very reliable. These factors increase the security risk. Secondly, big data has the characteristics of liquidity and sharing, which undoubtedly caused great difficulties for management. Many problems such as account tampering, intrusion, identity theft, authentication errors, and password errors may bring many abuses and even cause privacy issues to users in the problem of leakage. However, the protection of user privacy and security is the basis for the widespread use of big data technology and an inevitable condition for its long-term development. Nowadays, the rapid development of network technology, network security, privacy security, and user information security are closely related, and the lack of any link cannot enable the long-term development of big data cloud computing. The importance of user privacy and security is undoubtedly to gain the trust of users and improve the credibility of this technology, so as to attract more and more users and supporters in exchange for the long-term development of this technology. If a big data company wants to achieve results in privacy protection, it must devote itself to the research and development of technical directions, isolate hackers, and network viruses from the security barrier, so that the users of the information have the sole right to use the information. At the same time, in terms of law, enacting laws related to big data can effectively prevent some criminals from destroying the big data environment. Therefore, perfecting the law and speeding up the legislative process can fundamentally safeguard customer information privacy. Technical R&D personnel must continuously improve algorithms, strengthen the development of information protection technology, and improve related systems in experiments. When users use the big data platform, the protection of their personal information has aroused great attention from the society. If the big data platform wants to achieve long-term development, it is essential to improve privacy and security. Cloud computing big data platform is shown in Figure2.Figure 2
A cloud computing big data platform.


### 3.2. Design and Optimization of Security and Privacy Protection Schemes Using Implicit Mechanisms

Comparing the implicit mechanism with the encryption mechanism, its most prominent feature is that it solves the problem of passwords. This article will mainly discuss the use of invisible mechanisms to protect the privacy of customers. After the system is optimized, if thieves want to steal information and data, they must understand the encrypted information in the system. In real life, this is impossible to achieve, which adds a powerful barrier to information security. At the same time, the method of information calculation has also been optimized. After optimization, multiple cloud servers are used simultaneously, and addition and multiplication are performed at the same time. According to this principle:(1)xk+ak−1xk−1+⋯+a1x+a0=0.Another way of writing it:(2)x−r1x−r2⋯x−rk=0.According to the nature of the univariate polynomial, we substitute data to obtain the following formula:(3)xk+∑i=1k−1ak−1xk−1=¯0modp.The above formula can be converted to:(4)∏i=1kx−ri¯=0modp.And so:(5)∏i=1kx−ri¯=0modp.When data is stored in chunks on one or more servers, they cannot be transferred to each other through the network, so the users need to recreate the data through the available data chunks. In this solution, the user expands the data subblock from part to the whole, where this part needs to be integrated to rebuild the data, as shown in Figure3 for the data partition storage model.Figure 3
Information plate storage template.Construct a linear equation:(6)a11r1+a12r2+⋯+a1krk=c1a21r1+a22r2+⋯+a2krk=c2⋯⋯an1r1+an2r2+⋯+ankrk=cn.The above linear equations can also be written in the form of a matrix as follows:(7)a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ankr1r2⋮rk=c1c2⋮cn.We need to group together any of the newly generated subblocks.(8)r1r2⋮rk=am1am2⋯amkan1an2⋯ank⋮⋮⋱⋮ai1ai2⋯aikk×k−1c1c2⋮ck.Launch another root(9)rk=d⋅r1⋅r2⋅⋯rk−1−1modp.For therith subblock in a random subblock, it is easy to get(10)ri,k=ri⋅ri,1⋅ri,2⋅⋯ri,k−1−1modp.Because it is the result obtained by the sum calculation, we will construct a new linear correlation that can be used to represent a new linear equation system:(11)a11r1,1+a12r1,2+⋯+a1kr1,k=c1,1a11r2,1+a12r2,2+⋯+a1kr2,k=c1,2⋯⋯a11rn,1+a12rn,2+⋯+a1krn,k=c1,n.Similarly, we have(12)ai1r1,1+ai2r1,2+⋯+aikr1,k=ci,1ai1r2,1+ai2r2,2+⋯+aikr2,k=ci,2⋯⋯ai1rn,1+ai2rn,2+⋯+aikrn,k=ci,n.In the same way, and so on, its related relationship is also displayed in the form of a matrix after simple calculation, namely,(13)a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ank⋅r1,1r2,1⋯rn,1r1,2r2,2⋯rn,2⋮⋮⋱⋮r1,kr2,k⋯rn,k=c1,1c1,2⋯c1,nc2,1c2,2⋯c2,n⋮⋮⋱⋮ck,1ck,2⋯ck,n.In order to facilitate the calculation later, let us define:(14)A=a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ankC=c1,1c1,2⋯c1,nc2,1c2,2⋯c2,n⋮⋮⋱⋮ck,1ck,2⋯ck,nR=r1,1r2,1⋯rn,1r1,2r2,2⋯rn,2⋮⋮⋱⋮r1,kr2,k⋯rn,k.At this moment(15)A⋅R⋅A=C′=c1,1′c1,2′⋯c1,n′c2,1′c2,2′⋯c2,n′⋮⋮⋱⋮ck,1′ck,2′⋯ck,n′.Because the matrix is an invertible matrix, there are:(16)R=A−1C′A−1.If this correlation and data classification are determined, we can start storing the information, if we need to restore the data:(17)R=A−1C′A−1.If the data owner wants to obtain the information of the data, he must have the detailed information of the calculation result in order to recover all the information. Similarly, the information that the stealer wants to obtain must also know the detailed information of the calculation result. Which is(18)R=A−1C′A−1=a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ank−1c1,1′c1,2′⋯c1,n′c2,1′c2,2′⋯c2,n′⋮⋮⋱⋮ck,1′ck,2′⋯ck,n′a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ank−1=r1,1r2,1⋯rn,1r1,2r2,2⋯rn,2⋮⋮⋱⋮r1,kr2,k⋯rn,k.Calculate the stored data subblock information separately:(19)j=x×y×z=x1×x2×x3×y1×y2×y3×z1×z2×z3=x1×y1××z1×x2×y2×z2×x3×y3×z3=j1×j2×j3.The cloud server performs the following calculations:(20)u×v×w=n1x1+y1+z1×n2x2+y2+z2×n3x3+y3+z3=n1n2n3×x1x2x3+x1x2y3+x1x2z3+x1y2x3+x1y2y3+x1y2z3+x1z2x3+x1z2y3+x1z2z3+y1x2x3+y1x2y3+x1x2z3+y1y2x3+y1y2y3+y1y2z3+y1z2x3+y1z2y3+y1z2z3+z1x2x3+z1x2y3+z1x2z3+z1y2x3+z1y2y3+z1y2z3+z1z2x3+z1z2y3+z1z2z3.The cloud server performs the following processing:(21)s′=u×v×w−n1n2n3x1x2y3+n1n2n3x1x2z3+n1n2n3x1y2x3+⋯+n1n2n3z1z2y3=n1n2n3x1x2x3+y1y2y3+z1z2z3.Calculate the required calculation result:(22)s1=s1′n1,s2=s2′n2,s3=s3′n3.The calculation formula and model diagram are as follows:(23)s1×s2×s3=s1′n1×s2′n2×s3′n3=s′n1n2n3=x+y+z.Calculation mode diagram is shown in Figure4.Figure 4
Calculation mode diagram.This kind of multiparty operation of big data requires the simultaneous use of several networks, as shown in Figure5:Figure 5
Cloud multiparty secure computing system diagram.There are two users of this program, one is the data owner, and the other is the user of the data calculation results. In this respect, the cost of calculation mainly has three points: the data is checked by the response value obtained. This process is very simple and only involves the comparison operation of numbers, which cannot be considered. Decrypt the encrypted data again. In this process, only the encryption algorithm needs to be used reasonably, but it is not related to its own design and does not need to be considered. Changes in precalculation time data are shown in Table1.Table 1
Changes in precalculation time.
x246810t − s200040006000810011000Obviously, when the peak value of the number of information items does not change, as the maximum number of inspectionsx for each item combination increases, the precalculation time for DO increases linearly.


## 3.1. Cloud Computing System Framework

SaaS, PaaS, and IaaS are the three operating modes of cloud computing platforms. SaaS software is the service mode, and it can provide external services with the support of suppliers. This software does not require users to store and maintain their own data. But through the purchase of services to complete their tasks, and only need customers to purchase this service to obtain results. The PaaS platform is a form of service. This model of cloud service providers provides users with a computing platform. Users use the platform to create and develop applications. Users use the computing functions of the platform to design and develop software, which can also reduce costs. The IaaS platform is a service method, which reduces the cost of user monitoring infrastructure, and only needs to control and detect the operation process to maximize the benefits. Flow chart of cloud computing is shown in Figure1.Figure 1
Flow chart of cloud computing.The key to cloud big data lies in the storage and use of data. Therefore, it will inevitably encounter the problem of security and privacy protection. Compared with general data, big data has a longer storage time and can be accessed and used more frequently, but the privacy of customers is safe. The index is greatly reduced in the environment of big data, and there is a risk of data tampering. The information contained in big data is extremely valuable. Once leaked, it will cause huge losses to the company, country, department, or individual. The privacy and security issues caused by big data platforms are mainly concentrated in the following areas: the staff of big data companies may maliciously leak or use user information. Users of big data do not know where their information is stored, and there is no way to control their information. In the process of data uploading, user information is more likely to be stolen. At the same time, the big data environment is very complicated. The limitation of basic facilities and the intrusion of outside criminals make it easier for users to expose their personal privacy. Not only in the upload process, but also in the processing process, there are also high risks. When the data is processed by the platform, many technologies and encryption methods are not very reliable. These factors increase the security risk. Secondly, big data has the characteristics of liquidity and sharing, which undoubtedly caused great difficulties for management. Many problems such as account tampering, intrusion, identity theft, authentication errors, and password errors may bring many abuses and even cause privacy issues to users in the problem of leakage. However, the protection of user privacy and security is the basis for the widespread use of big data technology and an inevitable condition for its long-term development. Nowadays, the rapid development of network technology, network security, privacy security, and user information security are closely related, and the lack of any link cannot enable the long-term development of big data cloud computing. The importance of user privacy and security is undoubtedly to gain the trust of users and improve the credibility of this technology, so as to attract more and more users and supporters in exchange for the long-term development of this technology. If a big data company wants to achieve results in privacy protection, it must devote itself to the research and development of technical directions, isolate hackers, and network viruses from the security barrier, so that the users of the information have the sole right to use the information. At the same time, in terms of law, enacting laws related to big data can effectively prevent some criminals from destroying the big data environment. Therefore, perfecting the law and speeding up the legislative process can fundamentally safeguard customer information privacy. Technical R&D personnel must continuously improve algorithms, strengthen the development of information protection technology, and improve related systems in experiments. When users use the big data platform, the protection of their personal information has aroused great attention from the society. If the big data platform wants to achieve long-term development, it is essential to improve privacy and security. Cloud computing big data platform is shown in Figure2.Figure 2
A cloud computing big data platform.


## 3.2. Design and Optimization of Security and Privacy Protection Schemes Using Implicit Mechanisms

Comparing the implicit mechanism with the encryption mechanism, its most prominent feature is that it solves the problem of passwords. This article will mainly discuss the use of invisible mechanisms to protect the privacy of customers. After the system is optimized, if thieves want to steal information and data, they must understand the encrypted information in the system. In real life, this is impossible to achieve, which adds a powerful barrier to information security. At the same time, the method of information calculation has also been optimized. After optimization, multiple cloud servers are used simultaneously, and addition and multiplication are performed at the same time. According to this principle:(1)xk+ak−1xk−1+⋯+a1x+a0=0.Another way of writing it:(2)x−r1x−r2⋯x−rk=0.According to the nature of the univariate polynomial, we substitute data to obtain the following formula:(3)xk+∑i=1k−1ak−1xk−1=¯0modp.The above formula can be converted to:(4)∏i=1kx−ri¯=0modp.And so:(5)∏i=1kx−ri¯=0modp.When data is stored in chunks on one or more servers, they cannot be transferred to each other through the network, so the users need to recreate the data through the available data chunks. In this solution, the user expands the data subblock from part to the whole, where this part needs to be integrated to rebuild the data, as shown in Figure3 for the data partition storage model.Figure 3
Information plate storage template.Construct a linear equation:(6)a11r1+a12r2+⋯+a1krk=c1a21r1+a22r2+⋯+a2krk=c2⋯⋯an1r1+an2r2+⋯+ankrk=cn.The above linear equations can also be written in the form of a matrix as follows:(7)a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ankr1r2⋮rk=c1c2⋮cn.We need to group together any of the newly generated subblocks.(8)r1r2⋮rk=am1am2⋯amkan1an2⋯ank⋮⋮⋱⋮ai1ai2⋯aikk×k−1c1c2⋮ck.Launch another root(9)rk=d⋅r1⋅r2⋅⋯rk−1−1modp.For therith subblock in a random subblock, it is easy to get(10)ri,k=ri⋅ri,1⋅ri,2⋅⋯ri,k−1−1modp.Because it is the result obtained by the sum calculation, we will construct a new linear correlation that can be used to represent a new linear equation system:(11)a11r1,1+a12r1,2+⋯+a1kr1,k=c1,1a11r2,1+a12r2,2+⋯+a1kr2,k=c1,2⋯⋯a11rn,1+a12rn,2+⋯+a1krn,k=c1,n.Similarly, we have(12)ai1r1,1+ai2r1,2+⋯+aikr1,k=ci,1ai1r2,1+ai2r2,2+⋯+aikr2,k=ci,2⋯⋯ai1rn,1+ai2rn,2+⋯+aikrn,k=ci,n.In the same way, and so on, its related relationship is also displayed in the form of a matrix after simple calculation, namely,(13)a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ank⋅r1,1r2,1⋯rn,1r1,2r2,2⋯rn,2⋮⋮⋱⋮r1,kr2,k⋯rn,k=c1,1c1,2⋯c1,nc2,1c2,2⋯c2,n⋮⋮⋱⋮ck,1ck,2⋯ck,n.In order to facilitate the calculation later, let us define:(14)A=a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ankC=c1,1c1,2⋯c1,nc2,1c2,2⋯c2,n⋮⋮⋱⋮ck,1ck,2⋯ck,nR=r1,1r2,1⋯rn,1r1,2r2,2⋯rn,2⋮⋮⋱⋮r1,kr2,k⋯rn,k.At this moment(15)A⋅R⋅A=C′=c1,1′c1,2′⋯c1,n′c2,1′c2,2′⋯c2,n′⋮⋮⋱⋮ck,1′ck,2′⋯ck,n′.Because the matrix is an invertible matrix, there are:(16)R=A−1C′A−1.If this correlation and data classification are determined, we can start storing the information, if we need to restore the data:(17)R=A−1C′A−1.If the data owner wants to obtain the information of the data, he must have the detailed information of the calculation result in order to recover all the information. Similarly, the information that the stealer wants to obtain must also know the detailed information of the calculation result. Which is(18)R=A−1C′A−1=a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ank−1c1,1′c1,2′⋯c1,n′c2,1′c2,2′⋯c2,n′⋮⋮⋱⋮ck,1′ck,2′⋯ck,n′a11a12⋯a1ka21a22⋯a2k⋮⋮⋱⋮an1an2⋯ank−1=r1,1r2,1⋯rn,1r1,2r2,2⋯rn,2⋮⋮⋱⋮r1,kr2,k⋯rn,k.Calculate the stored data subblock information separately:(19)j=x×y×z=x1×x2×x3×y1×y2×y3×z1×z2×z3=x1×y1××z1×x2×y2×z2×x3×y3×z3=j1×j2×j3.The cloud server performs the following calculations:(20)u×v×w=n1x1+y1+z1×n2x2+y2+z2×n3x3+y3+z3=n1n2n3×x1x2x3+x1x2y3+x1x2z3+x1y2x3+x1y2y3+x1y2z3+x1z2x3+x1z2y3+x1z2z3+y1x2x3+y1x2y3+x1x2z3+y1y2x3+y1y2y3+y1y2z3+y1z2x3+y1z2y3+y1z2z3+z1x2x3+z1x2y3+z1x2z3+z1y2x3+z1y2y3+z1y2z3+z1z2x3+z1z2y3+z1z2z3.The cloud server performs the following processing:(21)s′=u×v×w−n1n2n3x1x2y3+n1n2n3x1x2z3+n1n2n3x1y2x3+⋯+n1n2n3z1z2y3=n1n2n3x1x2x3+y1y2y3+z1z2z3.Calculate the required calculation result:(22)s1=s1′n1,s2=s2′n2,s3=s3′n3.The calculation formula and model diagram are as follows:(23)s1×s2×s3=s1′n1×s2′n2×s3′n3=s′n1n2n3=x+y+z.Calculation mode diagram is shown in Figure4.Figure 4
Calculation mode diagram.This kind of multiparty operation of big data requires the simultaneous use of several networks, as shown in Figure5:Figure 5
Cloud multiparty secure computing system diagram.There are two users of this program, one is the data owner, and the other is the user of the data calculation results. In this respect, the cost of calculation mainly has three points: the data is checked by the response value obtained. This process is very simple and only involves the comparison operation of numbers, which cannot be considered. Decrypt the encrypted data again. In this process, only the encryption algorithm needs to be used reasonably, but it is not related to its own design and does not need to be considered. Changes in precalculation time data are shown in Table1.Table 1
Changes in precalculation time.
x246810t − s200040006000810011000Obviously, when the peak value of the number of information items does not change, as the maximum number of inspectionsx for each item combination increases, the precalculation time for DO increases linearly.


## 4. Analysis of the Credibility of Social Media Information Based on User Perception and Policy Recommendations

### 4.1. Empirical Analysis of the Credibility of Social Media Information Based on User Perception

#### 4.1.1. Reliability Test

We use SPSS24.0 software to analyze the reliability of the 30 questions in the first part of the questionnaire, and use the Cronbach coefficient value as the analysis ruler to test the stability and internal consistency of each question in the pre-survey questionnaire. When the value of Cronbach’s coefficient is greater than 0.7, it indicates that the reliability and internal consistency of the question item is better, and the reliability is higher. When the value of Cronbach’s coefficient is less than 0.6, it indicates that the reliability of the question item is lower and the internal stability is higher. And the problem item needs to be modified. The value of each question item in the pre-investigation is shown in Table2.Table 2
Pre-investigation reliability analysis.
VariableCronbach’s alpha valueMeasurement questionCranbach’sα value after deleting the questionCITCInformation quality (IQ)0.857IQ10.7950.753IQ20.8230.688IQ30.7920.763IQ40.8590.611Communicator reliability (TR)0.916TR10.9100.754TR20.8700.864TR30.8760.853TR40.9050.763Communicator motivation (CM)0.764CMl0.7650.501CM20.6340.64OCM30.6100.661Information presentation (PI)0.710PI10.7080.608PI20.6040.553PI30.5170.621Faith media reliability (IMR)0.700IMR10.6070.567IMR20.6660.518IMR30.6210.540IHR40.6200.605IMR50.7120.502Information involvement (INV)0.710INV10.6430.523INV20.7070.504INV30.5830.528INV40.6490.511Propensity to trust (PT)0.787PT10.7410.587PT20.7370.588PT30.6650.749PT40.7890.523Perceived information credibility (PCC)0.842PCC10.8880.592PCC20.6750.819PCC30.7640.723


#### 4.1.2. Validity Test

Table3 is the output result of the validity analysis of the first part of the 30 questions in the pre-survey questionnaire using SPSS24.0 software. By referring to the KMO value and the Bartlett sphere test result, it is judged whether the sample data can be factored, the size of the KMO value and the degree to which a sample is suitable for factor analysis is directly proportional. The KMO is greater than 0.9, which means it is suitable for analysis. If it is between 0.7 and 0.9, it can be analyzed. However, if the KMO is less than 0.5, whether the factor analysis can be performed, it needs to pass specific tests determined by inspection results.Table 3
Analysis of the validity of each variable in the pre-investigation.
VariableKMOApproximate chi-square detectionProbability of bartlett cucumber test significanceDegree of freedomInformation quality0.80582.6720.0006Communicator credibility0.804135.4780.0006Communicator motivation0.63938.3740.0003Information presentation form0.64031.0410.0003Credibility of information media0.67657.6400.00010Information involvement0.71433.3910.0006Trust tendency0.71259.4710.0006Perceptual information credibility0.65266.8810.0003


#### 4.1.3. Validity Analysis of Factors Affecting the Credibility of Social Media Information

KMO statistics and verification and Bartlett sphere test are also widely used in factor tests to verify the correctness of this chart. KMO statistical inspection and Bartlett sphere test are also important scales for judging whether there is a correlation between all the question items. KMO statistical inspection uses correlation coefficients to indicate the correlation between different variables. The KMO value can determine that the higher the validity, the stronger the correlation, and different variables are more suitable for factor analysis. When KMO is equal to 1, the criterion for determining the correlation is reached, and the closer it is to 1, the stronger the correlation. The Bartlett sphere test is mainly used to verify whether the various variables are independent. When the value is less than 0.05, it means that the factor analysis can be performed. Generally speaking, if the KMO statistical inspection data are greater than 0.7 and Bartlett’s test coefficient is less than 0.01, this situation is most suitable for factor analysis, as shown in Table4.Table 4
Validity test results.
Measurement questionIngredient123456IQ10.686IQ20.507IQ30.755IQ40.667TR10.704TR20.770TR30.788TR40.803CM10.825CM20.868CM30.779PI10.641PI20.753PI30.657INR1INR20.608INR30.777INR40.734INR50.575PCC10.637PCC20.805PCC30.816Variance contribution rate (%)12.46611.78311.29211.2119.9479.363Cumulative variance contribution rate (%)12.46624.24935.54146.75256.69966.062The results of the analysis of the validity of the modifier variables in this study are shown in Table5. We can find that the statistical coefficient of KMO is 0.853, and 0.853 is greater than 0.7. At the same time, the result of Bartlett’s spherical test is significant. The relevant data is more suitable for factor analysis. Using the above method for factor analysis, a total of 2 factors were extracted, and the overall variance contribution rate of these 2 factors was 63.650%, indicating that they represent variable information well. In addition, in the rotating component matrix, the two variables of information involvement and trust tendency become one component, respectively, so it can be explained that the structural validity of the moderating variable is better.Table 5
Validity test results of modulating variables.
KNO statistical inspection volume0.853Bartlett sphere test significance0.00CodingFactor loading factor12INV10.842—INV20.792—INV30.773—INV40.632—PTl0.802—PT20.756—PT30.844—PT40.658—Variance contribution rate (%)32.56432.564Cumulative variance contribution rate (%)31.08763.650It can be seen from Table6 that in this regression model, the regression coefficients of information quality, communication motivation, information presentation form, and information medium credibility are 0.210, 0.198, 0.174, and 0.210, respectively. This result indicates information quality and communication motivation. The form of information presentation and the credibility of the information medium will have a significant positive impact on the credibility of the perceived information, while the credibility of the disseminator will not have any significant effect on the credibility of the perceived information.Table 6
Analysis of dependent variable regression model.
ModelUnstandardized coefficientStandardization coefficientTSignificanceCollinearity statisticsBStandard errorBetaToleranceVIFM-PCCConstant0.3310.264—1.2510.212——IQ0.2100.0610.2023.4340.0010.5291.854TR0.0750.0600.0641.2470.2130.7161.297CM0.1980.0480.2174.1060.0000.6671.500PI0.1740.0640.1472.7150 0070.6371.569IMR0.2100.0680.1693.0710.0030.6161.623


### 4.2. Suggestions for Improving the Credibility of Social Media Information

This paper conducts an in-depth analysis of the influencing factors of social media information credibility and verifies the effect of each influencing factor on perceived credibility. Based on the current status of social media development, and based on the experimental results obtained in this article, constructive opinions are put forward for the improvement of information credibility, which will further improve the network environment, which is of great significance.


#### 4.2.1. Pay Attention to Information Quality, Build a Content Review Mechanism, And Realize Diversity of Information Forms

In the analysis results of this research, information quality significantly affects the perception of credibility of social media information, and its mediating effect as an intermediary variable on other credibility factors is also significant. In the real environment, if the information expressed by the content is more objective, the more likely it is to be considered true information. Therefore, we have the right to determine that the objectivity, completeness, accuracy, and timeliness of network data information has an effect on the perception of individual information credibility while affecting the user’s reading experience. Therefore, during the operation of social media, attention should be paid to controlling the quality of information posted by platform users, analyzing the authenticity of the information, and deleting false and untrue information in a timely manner to improve the usefulness of the information content. In order to improve the quality of platform information, each social application media can establish a corresponding platform content review mechanism, increase the level of review and verification of platform information, conduct multilayer rigorous review of its content, and at the same time verify its provenance to form a benign information public opinion orientation, take the provision of accurate, objective, and reliable information content as the development goal, and enhance the trust of individuals in the media platform. This study not only clarifies that the form of information presentation has a direct impact on the credibility of perceived information, but also concludes that factors such as information quality and release time also affect the credibility of information, which has certain guiding significance for the content operation of social platforms. Therefore, on the basis of controlling the quality of information, each social platform can provide users with a variety of information editing forms, optimize the structural characteristics of information, and enrich the presentation forms of information. Authors are encouraged to combine plain text content with data, pictures, audio and video, and links and other forms of information display, which can make the content of the information richer and more diverse, make it more interesting and attract more people to read, stimulating the information. The receiver’s visual experience enhances the information perception of “seeing is believing”.


#### 4.2.2. Cultivate the Media Literacy of Social Media Users

The characteristics of user-generated content make individuals not only receivers of information on social media platforms, but also publishers of information. The user’s information recognition ability will affect their judgment on the credibility of social media information. Therefore, it is particularly important to cultivate the media literacy of the audience. Media literacy is an open, thinking, and questioning attitude that an individual holds towards media information. Information explosion is a very accurate vocabulary to describe the amount of current information and the speed of change. People are surrounded by a large amount of information every day and will inevitably be exposed to false information. At this time, information receivers are required to have high sensitivity and recognition ability, can effectively judge the authenticity and reliability of the information. At the same time, when users act as information publishers, they must also enhance their sense of responsibility. Before the information is released, whether it is original information or forwarded information, first make a simple judgment on the content of the information, check whether the content expression conforms to objective logic, whether there is official or professional argumentation support, whether it contains obvious semantic errors, etc., through preliminary inspection to reduce the spread of problems or false information. In addition, each social platform has its own user authentication method to distinguish the professional level and level of different users. Certified users should play the role of opinion leaders in social platforms and use their professional capabilities and influence to spread information in a good way and guide public opinion in the right direction. Finally, in addition to the improvement of users’ own information level, the platform should also strengthen the serious review of the qualifications of social media users. The level certification of the communicator is the information point that individuals pay more attention to when searching for information. The higher the level of certification, the more professional and influence it is considered to have. However, the various roles on social media platforms are currently mixed, the platform’s level certification standards are not perfect, and the certification process is not strict. This has caused some malicious propagators to transmit untrue information in online media and undermine the Internet atmosphere. Therefore, social media platforms must improve the user level certification audit standards, strictly control all aspects of level certification, and conduct periodic reviews of certified individuals to prevent information disseminators with bad motives from destroying the good subject information environment.


#### 4.2.3. Improve Platform Functions and Establish Trust Levels

People’s perception of the reliability of media platforms will affect their judgments on the credibility of social media information. To reflect the positive role of social platforms in information dissemination, some functional optimizations can also be made. For example, the platform can reduce user information acquisition costs by adding content tags. Mark the importance of the information content and attach official information links to reduce the time for users to search and select information and improve users’ perception of ease of use. Multilevel information exchange channels can also be established to promote the trust among users at all levels. Current social media is mostly information exchanges between the people. In order to promote the dissemination of positive information and form a sensible network environment, it is also necessary to strengthen the communication between different departments, different organizations, celebrities, opinion leaders, etc., and the public. In the process of dialogue and communication, convey your own understanding and opinions on a certain phenomenon to users, and create a good network environment to enhance the customer trust and experience. In addition, the trust level of the social media platform can be constructed and the reliability of the platform can be improved. This study clarifies that the attributes of information media will also affect the public’s perception of the credibility of social media information. Therefore, the trust level of each media platform can be quantified. Relevant departments have issued corresponding quantitative standards for the trust levels of social platforms, classifying each network platform, and urging each social platform to self-improve through periodic review and rating. This can not only provide media users with a reference basis, help users to perceive the credibility of their information through the trust level of the platform, but also improve the service level of the platform, promote the development of the platform itself, and improve the reliability of the social media platform.


#### 4.2.4. Create a Good Social Trust Environment

With the rapid development of social media, various types of information are large in quantity and updated quickly, and the authenticity of information is difficult to guarantee. This has caused people to be skeptical about social media information and the surrounding environment. To improve the credibility of social media information, from a macro perspective, we need to start with the social environment, strengthen network management, purify the network environment, create a good social trust atmosphere, and enhance the trust between people and citizens in the entire society.(1)
Realizing the timely elimination of rumors is one of the reasons for social panic, especially the content of information closely related to public life. Some people will follow the direction of the rumors further and farther with the mentality that they prefer to be trusted. Therefore, it is necessary to promptly clarify the false information disseminated in social media, not only to delete the false information in time, but also to give an official or authoritative statement to correct the rumors, so that the audience can understand the truth of the matter and give the public correct guide, reduce the harm of rumors to the entire society, in order to build the audience’s sense of trust in social media information.(2)
Make information open and transparent. Networks have gradually become the first means for the public to obtain information. People use various social media to learn about major issues in society and protect users’ right to know. Only then can they gain the trust of users. Sharing transparency is essential. In response to some emergencies and threats to the public, all platforms must release official information in a timely manner, show the truth and the ins and outs of the facts to users, reduce social panic, avoid the growth of rumors and false information, create a pure information environment, and enhance people providing a sense of trust in the heart.(3)
The social media platform to protect the equal rights and interests of individuals has now developed into a window for people to convey their emotions and express their wishes. While supporting and praising, there will also be voices of criticism and accusation. In order to enhance the user’s recognition and trust of the platform, each platform must form an inclusive emotional expression system to protect the public’s freedom of speech and allow people to claim reasonable interests. If the legal speeches made by users of social platforms are restricted, it will affect people’s views on the fairness and justice of the entire social media environment, and reduce the public’s trust in social media platforms and the entire society.


## 4.1. Empirical Analysis of the Credibility of Social Media Information Based on User Perception

### 4.1.1. Reliability Test

We use SPSS24.0 software to analyze the reliability of the 30 questions in the first part of the questionnaire, and use the Cronbach coefficient value as the analysis ruler to test the stability and internal consistency of each question in the pre-survey questionnaire. When the value of Cronbach’s coefficient is greater than 0.7, it indicates that the reliability and internal consistency of the question item is better, and the reliability is higher. When the value of Cronbach’s coefficient is less than 0.6, it indicates that the reliability of the question item is lower and the internal stability is higher. And the problem item needs to be modified. The value of each question item in the pre-investigation is shown in Table2.Table 2
Pre-investigation reliability analysis.
VariableCronbach’s alpha valueMeasurement questionCranbach’sα value after deleting the questionCITCInformation quality (IQ)0.857IQ10.7950.753IQ20.8230.688IQ30.7920.763IQ40.8590.611Communicator reliability (TR)0.916TR10.9100.754TR20.8700.864TR30.8760.853TR40.9050.763Communicator motivation (CM)0.764CMl0.7650.501CM20.6340.64OCM30.6100.661Information presentation (PI)0.710PI10.7080.608PI20.6040.553PI30.5170.621Faith media reliability (IMR)0.700IMR10.6070.567IMR20.6660.518IMR30.6210.540IHR40.6200.605IMR50.7120.502Information involvement (INV)0.710INV10.6430.523INV20.7070.504INV30.5830.528INV40.6490.511Propensity to trust (PT)0.787PT10.7410.587PT20.7370.588PT30.6650.749PT40.7890.523Perceived information credibility (PCC)0.842PCC10.8880.592PCC20.6750.819PCC30.7640.723


### 4.1.2. Validity Test

Table3 is the output result of the validity analysis of the first part of the 30 questions in the pre-survey questionnaire using SPSS24.0 software. By referring to the KMO value and the Bartlett sphere test result, it is judged whether the sample data can be factored, the size of the KMO value and the degree to which a sample is suitable for factor analysis is directly proportional. The KMO is greater than 0.9, which means it is suitable for analysis. If it is between 0.7 and 0.9, it can be analyzed. However, if the KMO is less than 0.5, whether the factor analysis can be performed, it needs to pass specific tests determined by inspection results.Table 3
Analysis of the validity of each variable in the pre-investigation.
VariableKMOApproximate chi-square detectionProbability of bartlett cucumber test significanceDegree of freedomInformation quality0.80582.6720.0006Communicator credibility0.804135.4780.0006Communicator motivation0.63938.3740.0003Information presentation form0.64031.0410.0003Credibility of information media0.67657.6400.00010Information involvement0.71433.3910.0006Trust tendency0.71259.4710.0006Perceptual information credibility0.65266.8810.0003


### 4.1.3. Validity Analysis of Factors Affecting the Credibility of Social Media Information

KMO statistics and verification and Bartlett sphere test are also widely used in factor tests to verify the correctness of this chart. KMO statistical inspection and Bartlett sphere test are also important scales for judging whether there is a correlation between all the question items. KMO statistical inspection uses correlation coefficients to indicate the correlation between different variables. The KMO value can determine that the higher the validity, the stronger the correlation, and different variables are more suitable for factor analysis. When KMO is equal to 1, the criterion for determining the correlation is reached, and the closer it is to 1, the stronger the correlation. The Bartlett sphere test is mainly used to verify whether the various variables are independent. When the value is less than 0.05, it means that the factor analysis can be performed. Generally speaking, if the KMO statistical inspection data are greater than 0.7 and Bartlett’s test coefficient is less than 0.01, this situation is most suitable for factor analysis, as shown in Table4.Table 4
Validity test results.
Measurement questionIngredient123456IQ10.686IQ20.507IQ30.755IQ40.667TR10.704TR20.770TR30.788TR40.803CM10.825CM20.868CM30.779PI10.641PI20.753PI30.657INR1INR20.608INR30.777INR40.734INR50.575PCC10.637PCC20.805PCC30.816Variance contribution rate (%)12.46611.78311.29211.2119.9479.363Cumulative variance contribution rate (%)12.46624.24935.54146.75256.69966.062The results of the analysis of the validity of the modifier variables in this study are shown in Table5. We can find that the statistical coefficient of KMO is 0.853, and 0.853 is greater than 0.7. At the same time, the result of Bartlett’s spherical test is significant. The relevant data is more suitable for factor analysis. Using the above method for factor analysis, a total of 2 factors were extracted, and the overall variance contribution rate of these 2 factors was 63.650%, indicating that they represent variable information well. In addition, in the rotating component matrix, the two variables of information involvement and trust tendency become one component, respectively, so it can be explained that the structural validity of the moderating variable is better.Table 5
Validity test results of modulating variables.
KNO statistical inspection volume0.853Bartlett sphere test significance0.00CodingFactor loading factor12INV10.842—INV20.792—INV30.773—INV40.632—PTl0.802—PT20.756—PT30.844—PT40.658—Variance contribution rate (%)32.56432.564Cumulative variance contribution rate (%)31.08763.650It can be seen from Table6 that in this regression model, the regression coefficients of information quality, communication motivation, information presentation form, and information medium credibility are 0.210, 0.198, 0.174, and 0.210, respectively. This result indicates information quality and communication motivation. The form of information presentation and the credibility of the information medium will have a significant positive impact on the credibility of the perceived information, while the credibility of the disseminator will not have any significant effect on the credibility of the perceived information.Table 6
Analysis of dependent variable regression model.
ModelUnstandardized coefficientStandardization coefficientTSignificanceCollinearity statisticsBStandard errorBetaToleranceVIFM-PCCConstant0.3310.264—1.2510.212——IQ0.2100.0610.2023.4340.0010.5291.854TR0.0750.0600.0641.2470.2130.7161.297CM0.1980.0480.2174.1060.0000.6671.500PI0.1740.0640.1472.7150 0070.6371.569IMR0.2100.0680.1693.0710.0030.6161.623


## 4.1.1. Reliability Test

We use SPSS24.0 software to analyze the reliability of the 30 questions in the first part of the questionnaire, and use the Cronbach coefficient value as the analysis ruler to test the stability and internal consistency of each question in the pre-survey questionnaire. When the value of Cronbach’s coefficient is greater than 0.7, it indicates that the reliability and internal consistency of the question item is better, and the reliability is higher. When the value of Cronbach’s coefficient is less than 0.6, it indicates that the reliability of the question item is lower and the internal stability is higher. And the problem item needs to be modified. The value of each question item in the pre-investigation is shown in Table2.Table 2
Pre-investigation reliability analysis.
VariableCronbach’s alpha valueMeasurement questionCranbach’sα value after deleting the questionCITCInformation quality (IQ)0.857IQ10.7950.753IQ20.8230.688IQ30.7920.763IQ40.8590.611Communicator reliability (TR)0.916TR10.9100.754TR20.8700.864TR30.8760.853TR40.9050.763Communicator motivation (CM)0.764CMl0.7650.501CM20.6340.64OCM30.6100.661Information presentation (PI)0.710PI10.7080.608PI20.6040.553PI30.5170.621Faith media reliability (IMR)0.700IMR10.6070.567IMR20.6660.518IMR30.6210.540IHR40.6200.605IMR50.7120.502Information involvement (INV)0.710INV10.6430.523INV20.7070.504INV30.5830.528INV40.6490.511Propensity to trust (PT)0.787PT10.7410.587PT20.7370.588PT30.6650.749PT40.7890.523Perceived information credibility (PCC)0.842PCC10.8880.592PCC20.6750.819PCC30.7640.723


## 4.1.2. Validity Test

Table3 is the output result of the validity analysis of the first part of the 30 questions in the pre-survey questionnaire using SPSS24.0 software. By referring to the KMO value and the Bartlett sphere test result, it is judged whether the sample data can be factored, the size of the KMO value and the degree to which a sample is suitable for factor analysis is directly proportional. The KMO is greater than 0.9, which means it is suitable for analysis. If it is between 0.7 and 0.9, it can be analyzed. However, if the KMO is less than 0.5, whether the factor analysis can be performed, it needs to pass specific tests determined by inspection results.Table 3
Analysis of the validity of each variable in the pre-investigation.
VariableKMOApproximate chi-square detectionProbability of bartlett cucumber test significanceDegree of freedomInformation quality0.80582.6720.0006Communicator credibility0.804135.4780.0006Communicator motivation0.63938.3740.0003Information presentation form0.64031.0410.0003Credibility of information media0.67657.6400.00010Information involvement0.71433.3910.0006Trust tendency0.71259.4710.0006Perceptual information credibility0.65266.8810.0003


## 4.1.3. Validity Analysis of Factors Affecting the Credibility of Social Media Information

KMO statistics and verification and Bartlett sphere test are also widely used in factor tests to verify the correctness of this chart. KMO statistical inspection and Bartlett sphere test are also important scales for judging whether there is a correlation between all the question items. KMO statistical inspection uses correlation coefficients to indicate the correlation between different variables. The KMO value can determine that the higher the validity, the stronger the correlation, and different variables are more suitable for factor analysis. When KMO is equal to 1, the criterion for determining the correlation is reached, and the closer it is to 1, the stronger the correlation. The Bartlett sphere test is mainly used to verify whether the various variables are independent. When the value is less than 0.05, it means that the factor analysis can be performed. Generally speaking, if the KMO statistical inspection data are greater than 0.7 and Bartlett’s test coefficient is less than 0.01, this situation is most suitable for factor analysis, as shown in Table4.Table 4
Validity test results.
Measurement questionIngredient123456IQ10.686IQ20.507IQ30.755IQ40.667TR10.704TR20.770TR30.788TR40.803CM10.825CM20.868CM30.779PI10.641PI20.753PI30.657INR1INR20.608INR30.777INR40.734INR50.575PCC10.637PCC20.805PCC30.816Variance contribution rate (%)12.46611.78311.29211.2119.9479.363Cumulative variance contribution rate (%)12.46624.24935.54146.75256.69966.062The results of the analysis of the validity of the modifier variables in this study are shown in Table5. We can find that the statistical coefficient of KMO is 0.853, and 0.853 is greater than 0.7. At the same time, the result of Bartlett’s spherical test is significant. The relevant data is more suitable for factor analysis. Using the above method for factor analysis, a total of 2 factors were extracted, and the overall variance contribution rate of these 2 factors was 63.650%, indicating that they represent variable information well. In addition, in the rotating component matrix, the two variables of information involvement and trust tendency become one component, respectively, so it can be explained that the structural validity of the moderating variable is better.Table 5
Validity test results of modulating variables.
KNO statistical inspection volume0.853Bartlett sphere test significance0.00CodingFactor loading factor12INV10.842—INV20.792—INV30.773—INV40.632—PTl0.802—PT20.756—PT30.844—PT40.658—Variance contribution rate (%)32.56432.564Cumulative variance contribution rate (%)31.08763.650It can be seen from Table6 that in this regression model, the regression coefficients of information quality, communication motivation, information presentation form, and information medium credibility are 0.210, 0.198, 0.174, and 0.210, respectively. This result indicates information quality and communication motivation. The form of information presentation and the credibility of the information medium will have a significant positive impact on the credibility of the perceived information, while the credibility of the disseminator will not have any significant effect on the credibility of the perceived information.Table 6
Analysis of dependent variable regression model.
ModelUnstandardized coefficientStandardization coefficientTSignificanceCollinearity statisticsBStandard errorBetaToleranceVIFM-PCCConstant0.3310.264—1.2510.212——IQ0.2100.0610.2023.4340.0010.5291.854TR0.0750.0600.0641.2470.2130.7161.297CM0.1980.0480.2174.1060.0000.6671.500PI0.1740.0640.1472.7150 0070.6371.569IMR0.2100.0680.1693.0710.0030.6161.623


## 4.2. Suggestions for Improving the Credibility of Social Media Information

This paper conducts an in-depth analysis of the influencing factors of social media information credibility and verifies the effect of each influencing factor on perceived credibility. Based on the current status of social media development, and based on the experimental results obtained in this article, constructive opinions are put forward for the improvement of information credibility, which will further improve the network environment, which is of great significance.


### 4.2.1. Pay Attention to Information Quality, Build a Content Review Mechanism, And Realize Diversity of Information Forms

In the analysis results of this research, information quality significantly affects the perception of credibility of social media information, and its mediating effect as an intermediary variable on other credibility factors is also significant. In the real environment, if the information expressed by the content is more objective, the more likely it is to be considered true information. Therefore, we have the right to determine that the objectivity, completeness, accuracy, and timeliness of network data information has an effect on the perception of individual information credibility while affecting the user’s reading experience. Therefore, during the operation of social media, attention should be paid to controlling the quality of information posted by platform users, analyzing the authenticity of the information, and deleting false and untrue information in a timely manner to improve the usefulness of the information content. In order to improve the quality of platform information, each social application media can establish a corresponding platform content review mechanism, increase the level of review and verification of platform information, conduct multilayer rigorous review of its content, and at the same time verify its provenance to form a benign information public opinion orientation, take the provision of accurate, objective, and reliable information content as the development goal, and enhance the trust of individuals in the media platform. This study not only clarifies that the form of information presentation has a direct impact on the credibility of perceived information, but also concludes that factors such as information quality and release time also affect the credibility of information, which has certain guiding significance for the content operation of social platforms. Therefore, on the basis of controlling the quality of information, each social platform can provide users with a variety of information editing forms, optimize the structural characteristics of information, and enrich the presentation forms of information. Authors are encouraged to combine plain text content with data, pictures, audio and video, and links and other forms of information display, which can make the content of the information richer and more diverse, make it more interesting and attract more people to read, stimulating the information. The receiver’s visual experience enhances the information perception of “seeing is believing”.


### 4.2.2. Cultivate the Media Literacy of Social Media Users

The characteristics of user-generated content make individuals not only receivers of information on social media platforms, but also publishers of information. The user’s information recognition ability will affect their judgment on the credibility of social media information. Therefore, it is particularly important to cultivate the media literacy of the audience. Media literacy is an open, thinking, and questioning attitude that an individual holds towards media information. Information explosion is a very accurate vocabulary to describe the amount of current information and the speed of change. People are surrounded by a large amount of information every day and will inevitably be exposed to false information. At this time, information receivers are required to have high sensitivity and recognition ability, can effectively judge the authenticity and reliability of the information. At the same time, when users act as information publishers, they must also enhance their sense of responsibility. Before the information is released, whether it is original information or forwarded information, first make a simple judgment on the content of the information, check whether the content expression conforms to objective logic, whether there is official or professional argumentation support, whether it contains obvious semantic errors, etc., through preliminary inspection to reduce the spread of problems or false information. In addition, each social platform has its own user authentication method to distinguish the professional level and level of different users. Certified users should play the role of opinion leaders in social platforms and use their professional capabilities and influence to spread information in a good way and guide public opinion in the right direction. Finally, in addition to the improvement of users’ own information level, the platform should also strengthen the serious review of the qualifications of social media users. The level certification of the communicator is the information point that individuals pay more attention to when searching for information. The higher the level of certification, the more professional and influence it is considered to have. However, the various roles on social media platforms are currently mixed, the platform’s level certification standards are not perfect, and the certification process is not strict. This has caused some malicious propagators to transmit untrue information in online media and undermine the Internet atmosphere. Therefore, social media platforms must improve the user level certification audit standards, strictly control all aspects of level certification, and conduct periodic reviews of certified individuals to prevent information disseminators with bad motives from destroying the good subject information environment.


### 4.2.3. Improve Platform Functions and Establish Trust Levels

People’s perception of the reliability of media platforms will affect their judgments on the credibility of social media information. To reflect the positive role of social platforms in information dissemination, some functional optimizations can also be made. For example, the platform can reduce user information acquisition costs by adding content tags. Mark the importance of the information content and attach official information links to reduce the time for users to search and select information and improve users’ perception of ease of use. Multilevel information exchange channels can also be established to promote the trust among users at all levels. Current social media is mostly information exchanges between the people. In order to promote the dissemination of positive information and form a sensible network environment, it is also necessary to strengthen the communication between different departments, different organizations, celebrities, opinion leaders, etc., and the public. In the process of dialogue and communication, convey your own understanding and opinions on a certain phenomenon to users, and create a good network environment to enhance the customer trust and experience. In addition, the trust level of the social media platform can be constructed and the reliability of the platform can be improved. This study clarifies that the attributes of information media will also affect the public’s perception of the credibility of social media information. Therefore, the trust level of each media platform can be quantified. Relevant departments have issued corresponding quantitative standards for the trust levels of social platforms, classifying each network platform, and urging each social platform to self-improve through periodic review and rating. This can not only provide media users with a reference basis, help users to perceive the credibility of their information through the trust level of the platform, but also improve the service level of the platform, promote the development of the platform itself, and improve the reliability of the social media platform.


### 4.2.4. Create a Good Social Trust Environment

With the rapid development of social media, various types of information are large in quantity and updated quickly, and the authenticity of information is difficult to guarantee. This has caused people to be skeptical about social media information and the surrounding environment. To improve the credibility of social media information, from a macro perspective, we need to start with the social environment, strengthen network management, purify the network environment, create a good social trust atmosphere, and enhance the trust between people and citizens in the entire society.(1)
Realizing the timely elimination of rumors is one of the reasons for social panic, especially the content of information closely related to public life. Some people will follow the direction of the rumors further and farther with the mentality that they prefer to be trusted. Therefore, it is necessary to promptly clarify the false information disseminated in social media, not only to delete the false information in time, but also to give an official or authoritative statement to correct the rumors, so that the audience can understand the truth of the matter and give the public correct guide, reduce the harm of rumors to the entire society, in order to build the audience’s sense of trust in social media information.(2)
Make information open and transparent. Networks have gradually become the first means for the public to obtain information. People use various social media to learn about major issues in society and protect users’ right to know. Only then can they gain the trust of users. Sharing transparency is essential. In response to some emergencies and threats to the public, all platforms must release official information in a timely manner, show the truth and the ins and outs of the facts to users, reduce social panic, avoid the growth of rumors and false information, create a pure information environment, and enhance people providing a sense of trust in the heart.(3)
The social media platform to protect the equal rights and interests of individuals has now developed into a window for people to convey their emotions and express their wishes. While supporting and praising, there will also be voices of criticism and accusation. In order to enhance the user’s recognition and trust of the platform, each platform must form an inclusive emotional expression system to protect the public’s freedom of speech and allow people to claim reasonable interests. If the legal speeches made by users of social platforms are restricted, it will affect people’s views on the fairness and justice of the entire social media environment, and reduce the public’s trust in social media platforms and the entire society.


## 4.2.1. Pay Attention to Information Quality, Build a Content Review Mechanism, And Realize Diversity of Information Forms

In the analysis results of this research, information quality significantly affects the perception of credibility of social media information, and its mediating effect as an intermediary variable on other credibility factors is also significant. In the real environment, if the information expressed by the content is more objective, the more likely it is to be considered true information. Therefore, we have the right to determine that the objectivity, completeness, accuracy, and timeliness of network data information has an effect on the perception of individual information credibility while affecting the user’s reading experience. Therefore, during the operation of social media, attention should be paid to controlling the quality of information posted by platform users, analyzing the authenticity of the information, and deleting false and untrue information in a timely manner to improve the usefulness of the information content. In order to improve the quality of platform information, each social application media can establish a corresponding platform content review mechanism, increase the level of review and verification of platform information, conduct multilayer rigorous review of its content, and at the same time verify its provenance to form a benign information public opinion orientation, take the provision of accurate, objective, and reliable information content as the development goal, and enhance the trust of individuals in the media platform. This study not only clarifies that the form of information presentation has a direct impact on the credibility of perceived information, but also concludes that factors such as information quality and release time also affect the credibility of information, which has certain guiding significance for the content operation of social platforms. Therefore, on the basis of controlling the quality of information, each social platform can provide users with a variety of information editing forms, optimize the structural characteristics of information, and enrich the presentation forms of information. Authors are encouraged to combine plain text content with data, pictures, audio and video, and links and other forms of information display, which can make the content of the information richer and more diverse, make it more interesting and attract more people to read, stimulating the information. The receiver’s visual experience enhances the information perception of “seeing is believing”.


## 4.2.2. Cultivate the Media Literacy of Social Media Users

The characteristics of user-generated content make individuals not only receivers of information on social media platforms, but also publishers of information. The user’s information recognition ability will affect their judgment on the credibility of social media information. Therefore, it is particularly important to cultivate the media literacy of the audience. Media literacy is an open, thinking, and questioning attitude that an individual holds towards media information. Information explosion is a very accurate vocabulary to describe the amount of current information and the speed of change. People are surrounded by a large amount of information every day and will inevitably be exposed to false information. At this time, information receivers are required to have high sensitivity and recognition ability, can effectively judge the authenticity and reliability of the information. At the same time, when users act as information publishers, they must also enhance their sense of responsibility. Before the information is released, whether it is original information or forwarded information, first make a simple judgment on the content of the information, check whether the content expression conforms to objective logic, whether there is official or professional argumentation support, whether it contains obvious semantic errors, etc., through preliminary inspection to reduce the spread of problems or false information. In addition, each social platform has its own user authentication method to distinguish the professional level and level of different users. Certified users should play the role of opinion leaders in social platforms and use their professional capabilities and influence to spread information in a good way and guide public opinion in the right direction. Finally, in addition to the improvement of users’ own information level, the platform should also strengthen the serious review of the qualifications of social media users. The level certification of the communicator is the information point that individuals pay more attention to when searching for information. The higher the level of certification, the more professional and influence it is considered to have. However, the various roles on social media platforms are currently mixed, the platform’s level certification standards are not perfect, and the certification process is not strict. This has caused some malicious propagators to transmit untrue information in online media and undermine the Internet atmosphere. Therefore, social media platforms must improve the user level certification audit standards, strictly control all aspects of level certification, and conduct periodic reviews of certified individuals to prevent information disseminators with bad motives from destroying the good subject information environment.


## 4.2.3. Improve Platform Functions and Establish Trust Levels

People’s perception of the reliability of media platforms will affect their judgments on the credibility of social media information. To reflect the positive role of social platforms in information dissemination, some functional optimizations can also be made. For example, the platform can reduce user information acquisition costs by adding content tags. Mark the importance of the information content and attach official information links to reduce the time for users to search and select information and improve users’ perception of ease of use. Multilevel information exchange channels can also be established to promote the trust among users at all levels. Current social media is mostly information exchanges between the people. In order to promote the dissemination of positive information and form a sensible network environment, it is also necessary to strengthen the communication between different departments, different organizations, celebrities, opinion leaders, etc., and the public. In the process of dialogue and communication, convey your own understanding and opinions on a certain phenomenon to users, and create a good network environment to enhance the customer trust and experience. In addition, the trust level of the social media platform can be constructed and the reliability of the platform can be improved. This study clarifies that the attributes of information media will also affect the public’s perception of the credibility of social media information. Therefore, the trust level of each media platform can be quantified. Relevant departments have issued corresponding quantitative standards for the trust levels of social platforms, classifying each network platform, and urging each social platform to self-improve through periodic review and rating. This can not only provide media users with a reference basis, help users to perceive the credibility of their information through the trust level of the platform, but also improve the service level of the platform, promote the development of the platform itself, and improve the reliability of the social media platform.


## 4.2.4. Create a Good Social Trust Environment

With the rapid development of social media, various types of information are large in quantity and updated quickly, and the authenticity of information is difficult to guarantee. This has caused people to be skeptical about social media information and the surrounding environment. To improve the credibility of social media information, from a macro perspective, we need to start with the social environment, strengthen network management, purify the network environment, create a good social trust atmosphere, and enhance the trust between people and citizens in the entire society.(1)
Realizing the timely elimination of rumors is one of the reasons for social panic, especially the content of information closely related to public life. Some people will follow the direction of the rumors further and farther with the mentality that they prefer to be trusted. Therefore, it is necessary to promptly clarify the false information disseminated in social media, not only to delete the false information in time, but also to give an official or authoritative statement to correct the rumors, so that the audience can understand the truth of the matter and give the public correct guide, reduce the harm of rumors to the entire society, in order to build the audience’s sense of trust in social media information.(2)
Make information open and transparent. Networks have gradually become the first means for the public to obtain information. People use various social media to learn about major issues in society and protect users’ right to know. Only then can they gain the trust of users. Sharing transparency is essential. In response to some emergencies and threats to the public, all platforms must release official information in a timely manner, show the truth and the ins and outs of the facts to users, reduce social panic, avoid the growth of rumors and false information, create a pure information environment, and enhance people providing a sense of trust in the heart.(3)
The social media platform to protect the equal rights and interests of individuals has now developed into a window for people to convey their emotions and express their wishes. While supporting and praising, there will also be voices of criticism and accusation. In order to enhance the user’s recognition and trust of the platform, each platform must form an inclusive emotional expression system to protect the public’s freedom of speech and allow people to claim reasonable interests. If the legal speeches made by users of social platforms are restricted, it will affect people’s views on the fairness and justice of the entire social media environment, and reduce the public’s trust in social media platforms and the entire society.


## 5. Conclusion

With the rapid development of many new technological fields, big data and cloud computing are undoubtedly the two most prominent products. Their appearance has subverted people’s traditional cognition of data processing, processing and storage methods, and brought tremendous changes to people’s social production and life. The benefits of this technology have gradually covered people’s lives. In more fields, more and more people have a deeper understanding of the importance of big data and cloud computing. The relationship between these two technologies is interdependent. If big data is the Daqing oil field, then cloud computing is the equipment to obtain these oils. The reason why big data is called big data is that the data is very large and exponentially growing. Therefore, a cloud computing platform is needed for analysis and storage, in order to maximize the information stored in these data. Cloud computing has strong scalability, its ability to allocate resources at will and high-strength processing capabilities are not available in traditional computer and Internet technology: if big data does not have cloud computing, it is like there is no edge. If cloud computing does not have big data, it will have nowhere to play its role. Therefore, the combination of the two is the general trend of the times.In the new network environment, the rapid development of social media has been widely used. Although the expansion of social media can speed up the exposing, dissemination, and response speed of incidents, it has created new social problems. The authenticity of information is becoming more and more difficult to verify. A large number of untrue and untrustworthy content floods various platforms. In this context, based on the theory of user perception and information processing, this article analyzes the potential for perceiving social media information in terms of information quality, communicator credibility, communication motivation, information presentation form, and information media credibility. The mediating effect of information quality is the mediating variable between heuristic variables and perceived information credibility. When information involvement and trust tendency are used as adjustment factors, it will affect information credibility.



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*Source: 6922615-2022-07-11.xml*