# The Application of Blockchain in Social Media: A Systematic Literature Review
## 6 Discussion
### Research Question Answers
They can create chain code connections, although article services and social media sites are involved in the consensus and operation validation. [PERSON] et al. [73] introduced a proof-of-concept instant messaging scenario involving a blockchain-based notarization structure that can assuredly store the items. [PERSON] et al. [74] presented PoC (Proof of Credibility), a method using Blockchain to spot fake news and delay its proliferation in social networks. Several researchers have integrated artificial intelligence and machine learning into their models. [PERSON] et al. [47] proposed an approach for perceiving fake content on social media. The system detects the propagation channels in order to define the problem. The authors use emotive investigation to evaluate spam posts. The content in spam is categorized by applying naive Bayesian classification. [PERSON] et al. [52] suggested a machine learning-based model that distinguishes fake content by employing Blockchain. The procedures of supervised machine learning are set up to recognize the certainty of definite data, although the Blockchain retains the difficult task of dispersing fake content. A blockchain context is produced through mining, a smart contract, and a PoW (Proof of Work) consensus. [PERSON] et al. [56] designed a model to identify fake content and regulate fallacious propagation. The framework associates artificial intelligence and a Proof-of-Stake (PoS) smart contract algorithm for externalizing in order to attain better veracity than a system exclusively based on Artificial Intelligence. [PERSON], [PERSON] et al. [66] introduced Whistleblower, a model associating machine learning/artificial intelligence algorithms, Blockchain, a confirmable computation framework, and a token-curated registry. It involves fake news execution algorithms. This system is trained by data gathered from social media platforms associated with several inspection kits. Data and text mining were introduced in Blockchain to detect fake news by [PERSON] et al. [57], who introduced a scheme mixing blockchain and text-mining algorithms. They used a unique blockchain architecture to produce a lightweight chain and settle the step along with algorithm and procedural information to identify fake contents. [PERSON] et al. [77] presented FakeChain, a consensus on the Blockchain-based data mining systems for authenticating exchanged items via social media and recognizing false info. Data mining was used as an algorithm to validate the posted items. This structure can recognize bogus articles, prevent users from posting them, penalize the authors of fake content, and compensate people who post accurate items. There are several studies focusing on the decentralized aspects and connection between the nodes of Blockchain. [PERSON] et al. [51] suggest a model founded on the Blockchain that partitions data safely at the peer level. The guarantee is determined between sender and receiver by employing local and global trust. The local trust is exclusively between neighbors of a node, while the global trust is updated according to the nodes implicatedin the data dissemination, the category of the data circulated, and the node's integrity grade. The system can find the origins of information diffusion nodes with the help of the blockchain. [PERSON] et al. [61] introduced a blockchain-based social networking structure by applying a BDN (Blockchain Distributed Network). They deployed this BDN through bloXroute servers to obtain a scalable system. [PERSON] et al. [63] suggest TRUSTD, an environment permitting a user to evaluate an element's accuracy and reliability. [PERSON] et al. [75] proposed a public opinion dissemination system for a social network based on Blockchain. The procedure takes up the impact of the stimulant structure formed by sensibly measuring rate involvement on data proliferation such social networks and builds an income-risk matrix below diverse dissemination deeds. (b) Protecting Data and Privacy  
Social media are maintained and regulated by their administrators, not the users.