# Impact of Social Media Usage on Civic Engagement towards Societal Problems: Qualitative Modelling Approach

Authors: Lu shao; Mahendar Goli; Abatihun Alehegn Sewagegn; Anoop Kumar Sahu
Journal: Discrete Dynamics in Nature and Society
 (2022)

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## Abstract

Civic engagement participation in solving the social problems gained momentum among social media users. It is probed via literature survey that many research studies conducted in understanding the civic behaviour and personality development; therefore, research documents were found still limited in the area of factors and their constructive factors (hypotheses) identification towards intensifying the online civic engagement for solving and reforming the society. Therefore, the purpose of the research is directed to build a qualitative research model of crucial factors by using the social capital theory, developing constructive factors (hypotheses) based on the research model, and testing constructive factors, which could intensify the civic engagement of online social media user’s (Facebook, Twitter, etc.) towards solving the social problems. To fulfil aforesaid agendas, the authors employed the qualitative survey method, which consisted of a simulation of an online survey against H1–H8 hypotheses of the research model. The survey data was collected by exploring the Google Form under the five-point Likert scale as a data collection tool. Participated students were prioritized from a metro city of India on a purposive mode. Collected usable samples of 341 students were considered for descriptive analysis such as reliability, validity, content, and construct of factors of the research model. Next, confirmatory factor analysis was performed to measure of fitness of factors of the research model. Finally, structural equation modelling (path analysis) carried out to assess the constructive factors (hypotheses) of research model. The summary of the results stated that usage of social media, trust, civic skills, and social responsibility are found as global significant factors, which affected an individual’s civic engagement in solving the social problems. This study aids the practitioners and academicians to audit and evaluate the advanced factors and their constructive factors in future, which affect the young social media users’ civic engagement in solving the social problems.


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## Body

## 1. Introduction with Literature Review

The rapid growth and usage of social media networks by the young public emphasized the researchers to focus on the research essence of social media. The utilization of social media networks or time spent on information sharing by an individual with others diverted the behaviour of social media users to participate in solving causes of society [1]. In addition, many social media networks focussed on raising civic participation among the youth [2]. Previous researches focussed on the influence of usage of social media networks on civic behaviour/participation from political and nonpolitical dimensions [3–6]. However, there are a few researches with a foundation in the theory of social capital focussed on civic engagement with community-based problems, social capital dimensions, and usage of social media. Hence, in the current research, the authors considered the dimensions of social capital along with two extended factors such as civic skills and social responsibility of the youngsters to understand the engagement of young social media users’ civic towards solving the causes of society. The next section discussed the theoretical background and relevant literature survey on social capital theory, social media networks, and civic engagement.


### 1.1. Social Capital Theory

The social capital theory was proposed to comprehend the collective citizen behaviour based on the mutual understanding, relationships, and mutual trust among the members of society. According to Schuller et al. [7], social capital theory states that relationships and connections among people is due to only common norms, values, trust, and reciprocity. The concept of social capital is drawn from social capital theory, is conceptualized as “the aggregate of the actual or potential resources, and is linked to the possession of a durable network of more or less institutionalized relationships of mutual acquaintances or recognition [8]. Social capital is defined as an idea that draws attention to the broader importance of social relationships and values such as trust in shaping broader attitudes and behaviour, which is clearly highly attractive to many people [7]. Social capital is classified into two types, namely, bridging capital and bonding capital [9]. Bonding social capital entails the relationships within the group, which develops the personal relationships to persuade civic participation, whereas bridging social capital implies the relationships with outside groups that enables to serve the whole community [10]. Social capital is closely related to civic engagement and the theory of social capital and is widely applied in various streams such as Facebook community civic engagement [11], online and offline social capital in gaming [12], civic participation in charity-based organizations [13], and civic engagement in small and medium enterprises [14].


### 1.2. Social Media Networks

Researchers in the area of social and political science focussed on examining the behaviour of young individual’s civic at online/social media networks or platforms [5, 6, 15]. The reason is that information sharing via social media networks increases interrelationship among the young people and triggers their motivation level towards civic activities. Furthermore, social media networks have the power to unlock social public network for civic participation [16].


### 1.3. Civic Engagement

Civic engagement is defined as the attitudes, behaviours, knowledge, and skills that are aimed at improving society and is derived from an interest in ramping up the common good [17]. Civic engagement is described as the feelings of responsibility towards the common good and actions having the aims of solving community issues and improving the well-being of its members and the competencies, required to participate in civic life [18]. Civic engagement is the pro-social behaviour of individuals to aid the community [19]. It is found that there has been a strong correlation between social media network usage and civic engagement [20–22]. The next section is yielded by the qualitative research model.


## 1.1. Social Capital Theory

The social capital theory was proposed to comprehend the collective citizen behaviour based on the mutual understanding, relationships, and mutual trust among the members of society. According to Schuller et al. [7], social capital theory states that relationships and connections among people is due to only common norms, values, trust, and reciprocity. The concept of social capital is drawn from social capital theory, is conceptualized as “the aggregate of the actual or potential resources, and is linked to the possession of a durable network of more or less institutionalized relationships of mutual acquaintances or recognition [8]. Social capital is defined as an idea that draws attention to the broader importance of social relationships and values such as trust in shaping broader attitudes and behaviour, which is clearly highly attractive to many people [7]. Social capital is classified into two types, namely, bridging capital and bonding capital [9]. Bonding social capital entails the relationships within the group, which develops the personal relationships to persuade civic participation, whereas bridging social capital implies the relationships with outside groups that enables to serve the whole community [10]. Social capital is closely related to civic engagement and the theory of social capital and is widely applied in various streams such as Facebook community civic engagement [11], online and offline social capital in gaming [12], civic participation in charity-based organizations [13], and civic engagement in small and medium enterprises [14].


## 1.2. Social Media Networks

Researchers in the area of social and political science focussed on examining the behaviour of young individual’s civic at online/social media networks or platforms [5, 6, 15]. The reason is that information sharing via social media networks increases interrelationship among the young people and triggers their motivation level towards civic activities. Furthermore, social media networks have the power to unlock social public network for civic participation [16].


## 1.3. Civic Engagement

Civic engagement is defined as the attitudes, behaviours, knowledge, and skills that are aimed at improving society and is derived from an interest in ramping up the common good [17]. Civic engagement is described as the feelings of responsibility towards the common good and actions having the aims of solving community issues and improving the well-being of its members and the competencies, required to participate in civic life [18]. Civic engagement is the pro-social behaviour of individuals to aid the community [19]. It is found that there has been a strong correlation between social media network usage and civic engagement [20–22]. The next section is yielded by the qualitative research model.


## 2. Qualitative Research Model

The theory of social capital is widely accepted to understand individuals’ civic engagement. The presented study includes the social capital dimensions with two extended factors. A qualitative research model as exhibited in Figure1 entails major constructs/factors, namely, social media usage (SMU), social interaction (SI), trust (TR), civic skills (CS), social responsibility (SR), and civic engagement (CE), to understand the civic engagement of young social media users for participating to solve the societal problems. The later section dealt with the constructive factors (hypotheses) development.Figure 1
Qualitative model to assess the civic engagement on social media usage.


## 3. Constructive Factors (Hypotheses) Development

### 3.1. Social Media Usage: Social Interaction

The usage of social media networks has achieved substantial growth and significance from multiperspectives. Young generations are fascinated by using social networking sites [23] for sharing information, having fun, and interacting with others [24]. The use of the Internet and social media networks increases the users’ networking and contacts [25]. Previous literature indicated that social media networks enable interpersonal interaction and strengthen the relationship among their members [26]. Xie [6] conducted a study in the USA with 800 Facebook users to prove that usage of social media networks resulted in the interaction and relationships. We hypothesize that:H1: Social media usage has a positive effect on social interaction


### 3.2. Social Media Usage: Trust

Trust is defined as the expectation that arises within a community of regular, honest, and cooperative behaviour, based on commonly shared norms, on the part of the members of that community [27]. Past research established the positive relationship between social media network usage and interpersonal trust. Usage of social media networks increases interpersonal trust [28]. Valenzuela et al. [29] in their seminal study in the USA with 2,603 college students as respondents concluded that usage of Facebook social media has a significant impact on users’ interpersonal trust. We hypothesize thatH2: Social media usage has a positive effect on trust


### 3.3. Social Media Usage: Civic Engagement

Civic engagement deals with solving social problems and increasing public affairs. Civic engagement is defined as a means of working either through political or nonpolitical processes to remove the difference in a community by promoting quality of life [30]. Usage of social media networks enables knowledge sharing and active participation in community and civic issues [4, 22]. Gil de Zuniga et al. [31] carried out research in the USA with 475 respondents and proved that usage of Facebook social media has a significant positive effect on civic engagement. Recently, Raghavan et al. [5] conducted research on social networks with university students in India and revealed that usage of social media networks positively improves civic engagement. According to research conducted by Xie [6] among the teenagers in the USA, the author concluded that social media sites/networks adoption has a positive effect on civic engagement. We hypothesize that:H3: Social media usage has a positive effect on civic engagement


### 3.4. Social Interaction: Trust

Social interaction contributes to improve the quality of life in the fields of education, health, and safety through trust [32, 33]. Social interaction among social media users (virtual network) motivates them to participate in civil activities [34]. Shah et al. [35] carried out secondary-based research and observed that usage of the Internet and information exchange are correlated with social trust. Warren et al. [11] performed research with 1,233 Facebook users in Malaysia had aged ranging from 15 to 40 years. The results of the research revealed that social interaction has a direct effect on interpersonal trust among social media users. We hypothesize that:H4: Social interaction has a positive effect on trust


### 3.5. Social Interaction: Civic Engagement

Individuals’ frequent interaction on social media networks increases their civic activities. Past research found a positive relationship between social interaction and civic engagement. People active on social media networks with high social interaction are likely to engage in civic participation [36, 37]. People with higher contacts tend to interact more on social networks and leading to civic participation in public affairs Shah et al. [35]. Choi and Shin [38] carried qualitative research in South Korea with 1,396 social media users to examine the relationship between social interaction and civic engagement. The results concluded a positive effect of social interaction on civic engagement. Warren et al. [11] in their seminal study conducted in Malaysia proved a direct effect of social interaction on civic publication/engagement. We hypothesize that:H5: Social interaction has a positive effect on civic engagement


### 3.6. Trust: Civic Engagement

Interpersonal trust among the users fosters civic engagement on social media networks. People with high interpersonal trust tend to be available on social media publications, reforming as well as shaping the pleasant society and civic activities [39, 40]. Social connection and trust consequently lead to civic participation [41]. Gil de Zúñiga et al. [31] conducted research in the USA with 475 Facebook, Myspace, and other social media users to test the relationship between interpersonal trust and civic engagement. The results of the research show that trust exerted a significant positive effect on civic engagement. Recent research by Diop et al. [13] from a social capital perspective in Qatar evidenced that trust leads to civic engagement. We hypothesize that:H6: Trust has a positive effect on civic engagement


### 3.7. Civic Skills: Civic Engagement

Civic skills refer to “a set of skills, which are required to effectively participate in civic and political life [42]. Civic skills are vital for the facilitation of civic behaviour [43]. The concept of civic skills is extensively studied in many disciplines such as voting behaviour [44], political sciences [45], and social welfare [46, 47]. In their study, Lenzi et al. [3] with 114 school students in Italy established the positive relationship between civic skills and civic engagement. In another study, Maiello et al. [44] among school children’s voting behaviour and confirmed the positive impact of civic skills and voting behaviour. We hypothesize that:H7: Civic skills have a positive effect on civic engagement


### 3.8. Social Responsibility

Pancer and Pratt [48] conceptualized social responsibility as a sense of connection to those outside of your circle of family and friends. Social responsibility is an obligation, which helps those in the communities, nations, or societies-at-large who are in need. Furthermore, when individuals obtain an accurate perspective about the conditions and needs of others, they are more apt to feel social responsibility and become socially involved [49]. Individuals’ social responsibility results in their community engagement behaviour [48]. Civic engagement is measured in terms of social responsibility [50]; however, some researchers argue that social responsibility fosters civic engagement [18]. Previous research has shown a positive relationship between an individual’s social responsibility and his/her civic participation/engagement in community development [51–53]. We hypothesize that:H8: Social responsibility has a positive effect on civic engagementThe next sections focussed on the research method consisting of a qualitative survey instrument, data collection, and evaluation. Further sections are descriptive and factor conformity analysis (data analysis), discussions, implications and conclusion, limitations, and future research.


## 3.1. Social Media Usage: Social Interaction

The usage of social media networks has achieved substantial growth and significance from multiperspectives. Young generations are fascinated by using social networking sites [23] for sharing information, having fun, and interacting with others [24]. The use of the Internet and social media networks increases the users’ networking and contacts [25]. Previous literature indicated that social media networks enable interpersonal interaction and strengthen the relationship among their members [26]. Xie [6] conducted a study in the USA with 800 Facebook users to prove that usage of social media networks resulted in the interaction and relationships. We hypothesize that:H1: Social media usage has a positive effect on social interaction


## 3.2. Social Media Usage: Trust

Trust is defined as the expectation that arises within a community of regular, honest, and cooperative behaviour, based on commonly shared norms, on the part of the members of that community [27]. Past research established the positive relationship between social media network usage and interpersonal trust. Usage of social media networks increases interpersonal trust [28]. Valenzuela et al. [29] in their seminal study in the USA with 2,603 college students as respondents concluded that usage of Facebook social media has a significant impact on users’ interpersonal trust. We hypothesize thatH2: Social media usage has a positive effect on trust


## 3.3. Social Media Usage: Civic Engagement

Civic engagement deals with solving social problems and increasing public affairs. Civic engagement is defined as a means of working either through political or nonpolitical processes to remove the difference in a community by promoting quality of life [30]. Usage of social media networks enables knowledge sharing and active participation in community and civic issues [4, 22]. Gil de Zuniga et al. [31] carried out research in the USA with 475 respondents and proved that usage of Facebook social media has a significant positive effect on civic engagement. Recently, Raghavan et al. [5] conducted research on social networks with university students in India and revealed that usage of social media networks positively improves civic engagement. According to research conducted by Xie [6] among the teenagers in the USA, the author concluded that social media sites/networks adoption has a positive effect on civic engagement. We hypothesize that:H3: Social media usage has a positive effect on civic engagement


## 3.4. Social Interaction: Trust

Social interaction contributes to improve the quality of life in the fields of education, health, and safety through trust [32, 33]. Social interaction among social media users (virtual network) motivates them to participate in civil activities [34]. Shah et al. [35] carried out secondary-based research and observed that usage of the Internet and information exchange are correlated with social trust. Warren et al. [11] performed research with 1,233 Facebook users in Malaysia had aged ranging from 15 to 40 years. The results of the research revealed that social interaction has a direct effect on interpersonal trust among social media users. We hypothesize that:H4: Social interaction has a positive effect on trust


## 3.5. Social Interaction: Civic Engagement

Individuals’ frequent interaction on social media networks increases their civic activities. Past research found a positive relationship between social interaction and civic engagement. People active on social media networks with high social interaction are likely to engage in civic participation [36, 37]. People with higher contacts tend to interact more on social networks and leading to civic participation in public affairs Shah et al. [35]. Choi and Shin [38] carried qualitative research in South Korea with 1,396 social media users to examine the relationship between social interaction and civic engagement. The results concluded a positive effect of social interaction on civic engagement. Warren et al. [11] in their seminal study conducted in Malaysia proved a direct effect of social interaction on civic publication/engagement. We hypothesize that:H5: Social interaction has a positive effect on civic engagement


## 3.6. Trust: Civic Engagement

Interpersonal trust among the users fosters civic engagement on social media networks. People with high interpersonal trust tend to be available on social media publications, reforming as well as shaping the pleasant society and civic activities [39, 40]. Social connection and trust consequently lead to civic participation [41]. Gil de Zúñiga et al. [31] conducted research in the USA with 475 Facebook, Myspace, and other social media users to test the relationship between interpersonal trust and civic engagement. The results of the research show that trust exerted a significant positive effect on civic engagement. Recent research by Diop et al. [13] from a social capital perspective in Qatar evidenced that trust leads to civic engagement. We hypothesize that:H6: Trust has a positive effect on civic engagement


## 3.7. Civic Skills: Civic Engagement

Civic skills refer to “a set of skills, which are required to effectively participate in civic and political life [42]. Civic skills are vital for the facilitation of civic behaviour [43]. The concept of civic skills is extensively studied in many disciplines such as voting behaviour [44], political sciences [45], and social welfare [46, 47]. In their study, Lenzi et al. [3] with 114 school students in Italy established the positive relationship between civic skills and civic engagement. In another study, Maiello et al. [44] among school children’s voting behaviour and confirmed the positive impact of civic skills and voting behaviour. We hypothesize that:H7: Civic skills have a positive effect on civic engagement


## 3.8. Social Responsibility

Pancer and Pratt [48] conceptualized social responsibility as a sense of connection to those outside of your circle of family and friends. Social responsibility is an obligation, which helps those in the communities, nations, or societies-at-large who are in need. Furthermore, when individuals obtain an accurate perspective about the conditions and needs of others, they are more apt to feel social responsibility and become socially involved [49]. Individuals’ social responsibility results in their community engagement behaviour [48]. Civic engagement is measured in terms of social responsibility [50]; however, some researchers argue that social responsibility fosters civic engagement [18]. Previous research has shown a positive relationship between an individual’s social responsibility and his/her civic participation/engagement in community development [51–53]. We hypothesize that:H8: Social responsibility has a positive effect on civic engagementThe next sections focussed on the research method consisting of a qualitative survey instrument, data collection, and evaluation. Further sections are descriptive and factor conformity analysis (data analysis), discussions, implications and conclusion, limitations, and future research.


## 4. Research Method

### 4.1. Qualitative Survey Instrument

Dimensions of social capital proved to be the antecedents of civil participation [11]. The research has aim to study the effects of civic skills, social interaction, trust, and social responsibility on youth civic engagement via social media network usage (online) with a foundation on the theory of social capital and also the defect the effect of social media networks usage on civic skills, social interaction, and trust. A structured survey questionnaire was employed for data collection to support the current study. The research scale items were adapted from well-established and validated literature. Measurement items were slightly modified accordingly to fit the context of the current research. The five-point Likert scale was employed with values ranging from 1 – stronlgy disagree to 5 – stronlgy agree. Four-item scale was derived from Gil de Zúñiga et al. [31] to measure usage of social media. The scale for social interaction among online users was adapted from Warren et al. [11]. The five-item scale was adapted from Wray-Lake et al. [54] to measure the civic skills of individuals. Four measurement items for trust were drawn from Warren et al. [11]. For the construct of social responsibility, the scale items were adapted from Wray-Lake et al. [54]. The outcomes variable civic engagement was assessed based on the four-item scale taken from Hobbs et al. [55].


## 4.1. Qualitative Survey Instrument

Dimensions of social capital proved to be the antecedents of civil participation [11]. The research has aim to study the effects of civic skills, social interaction, trust, and social responsibility on youth civic engagement via social media network usage (online) with a foundation on the theory of social capital and also the defect the effect of social media networks usage on civic skills, social interaction, and trust. A structured survey questionnaire was employed for data collection to support the current study. The research scale items were adapted from well-established and validated literature. Measurement items were slightly modified accordingly to fit the context of the current research. The five-point Likert scale was employed with values ranging from 1 – stronlgy disagree to 5 – stronlgy agree. Four-item scale was derived from Gil de Zúñiga et al. [31] to measure usage of social media. The scale for social interaction among online users was adapted from Warren et al. [11]. The five-item scale was adapted from Wray-Lake et al. [54] to measure the civic skills of individuals. Four measurement items for trust were drawn from Warren et al. [11]. For the construct of social responsibility, the scale items were adapted from Wray-Lake et al. [54]. The outcomes variable civic engagement was assessed based on the four-item scale taken from Hobbs et al. [55].


## 5. Data Collection and Evaluation

To examine the effects of various constructive factors on civic engagement on social media networks, college students pursuing intermediate, UG, and PG are evaluated and selected in purposive mode from India due to the majority of the social media consumption; college students sample were appropriate to the topic of the study [56]. Initially, a pretest with 50 respondents was conducted to assess the reliability of the questionnaire. The reliability of the survey instrument was found to be more than 0.70, which ensured the reliability of the scales [62]. The final data were collected for the research. Data are obtained from February 2 to March 15, 2020. Users of the three most popular social networking sites such as Facebook, Instagram, and Twitter are included in the survey [57, 58]. A total of 1,173 respondents were chosen through e-mail, personal contacts, and online survey links were distributed for responses. A total of 367 responses were obtained out of which 26 samples were rejected due to incompletion. Finally, the authors received 341 usable samples for data analysis making with a response rate of 29.07%. The majority of the respondents fall in the 18–21 age bracket and Facebook social media networks. The demographic profile of the sample is exhibited in Table 1.Table 1
Demographic details of the respondents (N = 341).
VariablesCategoriesFrequenciesPercentagesGenderMale19055.7Female15144.3Age15–17339.718–2123067.422 and above7822.9EducationIntermediate3911.4UG14442.2PG15846.3Marital statusMarried133.8Unmarried32896.2


## 6. Data Analysis

The data analysis was performed in three steps. First, a descriptive analysis was conducted to assess the respondents’ demographic characteristics and their social media network behaviours. Demographic profiles of the respondents indicate that majority of the social media users were in the age group between 18 and 21 years. Table2 notifies that Facebook was predominantly used by college students. Social media network’s frequency per day and usage experience were quite enough for the users to expose and inform about various social and community-related issues. The second part of the analysis includes confirmatory factor analysis to assess the validity of the measurement model. Finally, the path analysis (structural model) was performed to test the hypothesized statements. View demographic details in Table 1 and social media network’s behaviour in Table 2.Table 2
Respondents’ social media network behaviour.
VariablesCategoriesFrequenciesPercentagesSocial platform usedFacebook16548.4Twitter9527.9Instagram6318.5Others185.3Social usage experienceLess than 1 year8725.51–3 years9929.03–5 years9227.0More than 5 years6318.5Average social media usage per dayLess than 2 hrs12135.52–3 hrs11634.04–5 hrs.6619.4Above 5 hrs.3811.1


## 7. Descriptive Analysis

### 7.1. Reliability Analysis

The reliability of the factors was assessed based on composite reliability and internal consistency, that is, Cronbach’s alpha values [59]. Both Cronbach’s alpha and composite reliability of more than 0.70 ensures construct reliability [60–62]. Table 3 shows the composite reliability and Cronbach’s alpha values exceeding the threshold level of 0.70, thus establishing the factor’s reliability.Table 3
Cronbach’s value, average variance extracted, and composite reliability.
FactorCronbach’s alphaAveCrSocial media networks usage0.8460.7950.939Social interaction0.9090.7740.911Trust0.9270.7620.927Civic engagement0.90.6790.893Civic skills0.9170.6830.915Social responsibility0.9130.6820.914


### 7.2. Validity Analysis

Validity of the measurement factors was established using content validity, construct validity encompasses discriminant validity, and convergent validity.


### 7.3. Content Validity

It is defined as the degree to which the measure spans the domain of the construct’s theoretical definition [63], which is confirmed by the consultation of academicians and research scholars in the area.


### 7.4. Construct Validity

It is the degree to which an operation correctly measures its targeted variables [64], which is measured using convergent validity and discriminant validity. Convergent validity is the consistency or agreement between two or more measures of the same construct or the degree to which a test of a construct is highly related to another test designed to evaluate the same construct [65–68].The average variance extracted for all factors should be more than 0.50, and factor loadings should exceed 0.70 to establish convergent validity [62, 69]. Table 4 indicates entire factor loadings more than 0.70, and from Table 4, it can be noticed that values of average variance extracted for entire constructs beyond 0.50 assure convergent validity. Discriminant validity is the degree to which a test of a construct is not highly correlated with other tests designed to measure different constructs [65]. Discriminant validity is satisfied if the square root values of average variance extracted for the construct should be more than the correlations between the other constructs [61]. From Table 5, it is clear that square roots of each construct are more than the correlations between the other constructs ranging from 0.826 to 0.891.Table 4
Factor loadings.
FactorsItem codesFactors loadingSocial media usageSMU10.880SMU20.919SMU30.936SMU40.873Social interactionSI10.880SI20.917SI30.911TrustTR10.880TR20.877TR30.899TR40.860Civic engagementCE10.820CE20.780CE30.847CE40.856Civic skillsCS10.799CS20.836CS30.808CS40.836CS50.87Social responsibilitySR10.789SR20.83SR30.858SR40.879SR50.752Table 5
Intercorrelations matrix.
SRSICESMUCSTR0.8260.1490.880.3620.2430.8240.1410.1230.320.8910.4810.160.3610.20.8270.3250.2710.380.1020.190.873


### 7.5. Common Method Bias

In the current study, common method bias is addressed by performing Harman’s single factor test. The variance of any single factor should not exceed 50% of the total variance [70]. Exploratory factor analysis (EFA) is carried out to test the variance, which accounted for. The results of EFA revealed that the largest factor accounts for 30.865 (less than 50%) establish the criteria. Hence, the data is from common method bias.


## 7.1. Reliability Analysis

The reliability of the factors was assessed based on composite reliability and internal consistency, that is, Cronbach’s alpha values [59]. Both Cronbach’s alpha and composite reliability of more than 0.70 ensures construct reliability [60–62]. Table 3 shows the composite reliability and Cronbach’s alpha values exceeding the threshold level of 0.70, thus establishing the factor’s reliability.Table 3
Cronbach’s value, average variance extracted, and composite reliability.
FactorCronbach’s alphaAveCrSocial media networks usage0.8460.7950.939Social interaction0.9090.7740.911Trust0.9270.7620.927Civic engagement0.90.6790.893Civic skills0.9170.6830.915Social responsibility0.9130.6820.914


## 7.2. Validity Analysis

Validity of the measurement factors was established using content validity, construct validity encompasses discriminant validity, and convergent validity.


## 7.3. Content Validity

It is defined as the degree to which the measure spans the domain of the construct’s theoretical definition [63], which is confirmed by the consultation of academicians and research scholars in the area.


## 7.4. Construct Validity

It is the degree to which an operation correctly measures its targeted variables [64], which is measured using convergent validity and discriminant validity. Convergent validity is the consistency or agreement between two or more measures of the same construct or the degree to which a test of a construct is highly related to another test designed to evaluate the same construct [65–68].The average variance extracted for all factors should be more than 0.50, and factor loadings should exceed 0.70 to establish convergent validity [62, 69]. Table 4 indicates entire factor loadings more than 0.70, and from Table 4, it can be noticed that values of average variance extracted for entire constructs beyond 0.50 assure convergent validity. Discriminant validity is the degree to which a test of a construct is not highly correlated with other tests designed to measure different constructs [65]. Discriminant validity is satisfied if the square root values of average variance extracted for the construct should be more than the correlations between the other constructs [61]. From Table 5, it is clear that square roots of each construct are more than the correlations between the other constructs ranging from 0.826 to 0.891.Table 4
Factor loadings.
FactorsItem codesFactors loadingSocial media usageSMU10.880SMU20.919SMU30.936SMU40.873Social interactionSI10.880SI20.917SI30.911TrustTR10.880TR20.877TR30.899TR40.860Civic engagementCE10.820CE20.780CE30.847CE40.856Civic skillsCS10.799CS20.836CS30.808CS40.836CS50.87Social responsibilitySR10.789SR20.83SR30.858SR40.879SR50.752Table 5
Intercorrelations matrix.
SRSICESMUCSTR0.8260.1490.880.3620.2430.8240.1410.1230.320.8910.4810.160.3610.20.8270.3250.2710.380.1020.190.873


## 7.5. Common Method Bias

In the current study, common method bias is addressed by performing Harman’s single factor test. The variance of any single factor should not exceed 50% of the total variance [70]. Exploratory factor analysis (EFA) is carried out to test the variance, which accounted for. The results of EFA revealed that the largest factor accounts for 30.865 (less than 50%) establish the criteria. Hence, the data is from common method bias.


## 8. Confirmatory Factor Analysis (CFA)

### 8.1. Measurement Model

The measurement model is fit or not. It was tested by using structural equation modelling (SEM) tool. AMOS software is employed to test the fitness of indices. The model fitness test was examined against the goodness of fit Index (GFI), adjusted goodness of fit index (AGFI), chi-square/degrees of freedom (CMIN/DF), Tuckler–Lewis index (TLI), normed fit index (NFI), comparative fit index (CFI), and root-mean-square error of approximation (RMSEA). The computed actual values of CMIN/DF = 1.485, GFI = 0.918, AGFI = 0.897, TLI = 0.978, NFI = 0.945, CFI = 0.981, and RMSEA = 0.038 depicted in Table6 meet the threshold values as suggested by Hair et al. [62], Bagozzi and Yi [71], Hu and Bentler [72], Fornell and Larcker [61], and Brown and Cudeck [73].Table 6
Measurement model.
Index ⟶x2/dfGFIAGFITLICFINFIRMSEACut-off value<3>0.8>0.8>0.9>0.9>0.9<0.08Actual value1.4850.9180.8970.9780.9810.9450.038


## 8.1. Measurement Model

The measurement model is fit or not. It was tested by using structural equation modelling (SEM) tool. AMOS software is employed to test the fitness of indices. The model fitness test was examined against the goodness of fit Index (GFI), adjusted goodness of fit index (AGFI), chi-square/degrees of freedom (CMIN/DF), Tuckler–Lewis index (TLI), normed fit index (NFI), comparative fit index (CFI), and root-mean-square error of approximation (RMSEA). The computed actual values of CMIN/DF = 1.485, GFI = 0.918, AGFI = 0.897, TLI = 0.978, NFI = 0.945, CFI = 0.981, and RMSEA = 0.038 depicted in Table6 meet the threshold values as suggested by Hair et al. [62], Bagozzi and Yi [71], Hu and Bentler [72], Fornell and Larcker [61], and Brown and Cudeck [73].Table 6
Measurement model.
Index ⟶x2/dfGFIAGFITLICFINFIRMSEACut-off value<3>0.8>0.8>0.9>0.9>0.9<0.08Actual value1.4850.9180.8970.9780.9810.9450.038


## 9. Structural Model Path Analysis

Overall structural model fit was assessed with the fit indices, namely, GFI, AGFI, CMIN/DF, TLI, NFI, CFI, RMSEA. CMIN/DF = 2.077, GFI = 0.884, AGFI = 0.859, TLI = 0.951, NFI = 0.920, CFI = 0.957, and RMSEA = 0.056 that meet the threshold values as suggested by Hair et al. [62], Bagozzi and Yi [71], Hu and Bentler [72], Fornell and Larcker [61], and Brown and Cudeck [73]. Structural model fit indices displayed in Table 7.Table 7
Structural model.
Index ⟶x2/dfGFIAGFITLICFINFIRMSEACut-off value<3>0.8>0.8>0.9>0.9>0.9<0.08Actual value2.0770.8840.8590.9510.9570.920.056From below Table8, path analysis results are noticed. Individuals’ Social media usage has a positive effect on both social interaction (β = 0.086, p=0.034) and civic engagement (β = 0.063, p=∗∗∗) while no effect on trust (β = 0.099, p=0.216). Social interaction has a significant positive effect on trust (β = 0.070, p=∗∗∗), whereas it has no significance on civic engagement (β = 0.044, p=0.054). Civic engagement is influenced by trust (β = 0.037, p=∗∗∗), civic skills (β = 0.050, p=∗∗∗), and social responsibility (β = 0.053, p=0.002).Table 8
Path analysis results.
HypothesisHypothesis pathSECRp valueResultH1SMU ⟶SI0.0862.1250.034SupportedH2SMU ⟶TR0.0991.2370.216Not supportedH3SMU⟶ CE0.0634.521∗∗∗SupportedH4SI ⟶TR0.0704.494∗∗∗SupportedH5SI ⟶CE0.0441.9240.054Not supportedH6TR ⟶CE0.0374.517∗∗∗SupportedH7CS ⟶CE0.0503.856∗∗∗SupportedH8SR ⟶CE0.0533.1080.002Supported


## 10. Discussions

As discussed, the purpose of the study is to examine the various dimensions of social capital and investigate civic engagement of young individuals using social media networks for the welfare of society. Based on an extant literature survey, a qualitative research model with the foundation of social capital theory is validated empirically. Results of the conducted study notified that younger individuals’ civic engagement is emphasized by the usage of social media. The trust, civic skills, and social responsibility increase the attention of younger individuals to participate to solve the causes of society. In addition, the usage of social media has a positive effect on social interaction, whereas it has no significance on trust. Furthermore, users’ interaction on social media has no effect on civic engagement. There has been a rampant usage of social media networks among the young generations. The more people use social media networks that means they tend to interact and participate in civic activities.The findings of the presented study show that social media network usage has a positive effect on social interaction, which is in congruent with the outcome of research conducted by Xie [6]. Furthermore, social media network usage has a significant effect on civic engagement. These findings are in line with the research performed by Cicognani et al. [4] and Jugert et al. [22]. However, usage of social media networks does not show any impact on trust among the members. The possible reason could be trust among the members of the social media networks, but the result of the current research proved that trust is built based on the interaction among the members. This is in consistent with the results of research by Warren et al. [11].In contrast to the results of the previous research, social interaction has no direct relationship with civic engagement. This may be due to the fact that there may be any mediating factors through which civic engagement is affected. The majority of the young social media users prefer online interaction for fun, sharing, and forming bonding with other members, which may not be directly related to civic activities. Trust among the individuals leads them collectively fight for a cause and participate in social activities. The outcome of the study shows that trust is positively related to civic engagement, which is similar to the findings of studies carried out by Putnam [41] and Gil de Zúñiga et al. [31]. Individual’s knowledge enhances the skills in a certain activity. Furthermore, it is known that members of the social media networks who possess certain civic skills engage in civic participation. The study is consistent with the researches conducted by Lenzi et al. [3] and Maiello et al. [44]. Individuals with a sense of social responsibility on virtual networks are likely to exhibit civic behaviour.The presented study confirmed the relationship between social media users, social responsibility and civic engagement, which is consistent with the findings of the study conducted by Flanagan and Sherrod [51], Greenberg [52], and Kegler et al. [53].


## 11. Implications

The study offers implications for the academicians and practitioners as well. The study was comprehensively carried out to examine the influence of social capital dimensions drawn from social capital theory along with usage of social media, civic skills, and social responsibility of civic behaviour of young individuals on social media networks. College students in the age bracket of 15 and 26 were considered for the study as they form the major segment of usage of social media. The study was not merely an extensive research based on social capital theory, and the quantitative research model focussed on the dimensions of social capital with respect to the issues related to societal problems. Social responsibility is a vital precursor to motivating civic participation. The study established a significant positive effect of social responsibility on civic engagement. Individuals’ civic skills are another factor that includes one’s knowledge and capabilities essential for better participation in civic activities. Furthermore, usage of social media contributes immensely to the individual’s online civic participation. However, the mere usage of social media networks does not create trust among the users as social interaction is a critical component for generating trust among the members. Practitioners and agencies such as NGOs (nongovernment organizations) can capitalize the social media networks to sensitize people towards the causes of social networks. They can use social media networks effectively as young people spend the majority of their leisure time on these platforms. Similarly, organizations may utilize such ubiquitous social media networks to promote their corporate social responsibility and other cause-related activities to generate a sense of responsibility and morale among the employees.


## 12. Conclusion, Limitations, and Future Research

Social media networks gained substantial importance in the study of civic engagement. The presented study focussed to investigate the factors that affect young people’s (ages ranging between 15 and 26 years) civic engagement on social media and its constructive factors (hypotheses). Based on the extant literature, the qualitative research model with the foundation of social capital theory was developed with factors, namely, usage of social media, social interaction, trust, civic skills, social responsibility, and civic engagement. The authors tested the interrelationships among factors or investigated the constructive factors (hypotheses) empirically using collected samples of 341 students. Path analysis was conducted over constructive factors (hypotheses) after descriptive as well as confirmatory factor analysis, that is, reliability, validity, content, and construct of factors on a qualitative research model. It is concluded that individuals’ social media usage has a positive effect on social interaction as well as civic engagement whereas no effect on trust. Social interaction has a significant positive effect on trust while it has no significance on civic engagement. Civic engagement is influenced by civic skills, trust, and social responsibility.There were certain limitations in the conducted study that the data can be collected on purposive nonrandom sampling from social media users, but not limited to the population of any specific nation. The model could be tested in other contexts too. The study is quantitative in nature; qualitative research yields better insights. The research includes young college students in the age group of 15–26 years. Future studies may consider other segments of respondents for better validation of the model. A longitudinal study could provide better insights as the current study is cross-sectional in nature. Three popular social networking sites were considered in the current study; further research could focus on other social media networks. Social ties on public networks are highly influenced by the personality traits of individuals. Civic behaviour was influenced by factors such as online efficacy, knowledge, Internet literacy, and social influence; hence, further investigation may be carried out on these factors. Moderating effects of age, gender, education, social media network usage experience, social media network usage frequency (number of hours), and type of content accessed would yield better results.



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*Source: 1121215-2022-06-30.xml*