FakeChain: A Blockchain Architecture to Ensure Trust in Social Media Networks

Ochôa, Iago Sestrem; Mello, Gabriel de; Silva, Luís Augusto; Gomes, Abel J. P.; Fernandes, Anita Maria da Rocha; Leithardt, Valderi Reis Quietinho

doi:10.1007/978-3-030-29238-6_8

Cited by 27 publications

(13 citation statements)

References 9 publications

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“…Proposed Model [46] Blockchain and keyed watermarking-based framework [47] Architecture of blockchain-based fictitious detection system [48] Architecture to store validation records in the blockchain [49] Rating system to detect the authenticity of news [50] A secure and privacy-preserving method [51] A framework for safely sharing information at the peer level [52] Machine Learning-based model using Blockchain [56] AI with a Proof-of-Stake smart contract algorithm architecture [57] Blockchain with Text Mining (TM) algorithm [58] Social media news-spreading model [61] A blockchain and watermarking-based social media framework [63] TRUSTD, a blockchain and collective signature-based ecosystem [64] A smart contract-based technique to avert fake posts [66] WhistleBlower, a decentralized fake news detection platform [67] Proof of Trustworthiness (PoT) [69] Avoiding false check-ins in Location-Based Social Networks [72] Method using the concept of decentralization [73] A blockchain-based social media notarization method [74] A blockchain consensus called Proof of Credibility (PoC) [75] A public opinion communication model [77] Architecture using data mining as a consensus algorithm [78] A prototype to counter the dissemination of fake news [79] Proof of Truthfulness (PoT) for news verification [85] Provenator, a blockchain-based distributed application…”

Section: Referencementioning

confidence: 99%

“…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. Iago Sestrem Ochoa 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.…”

Section: Referencementioning

confidence: 99%

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The Application of Blockchain in Social Media: A Systematic Literature Review

2022

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Social media has transformed the mode of communication globally by providing an extensive system for exchanging ideas, initiating business contracts, and proposing new professional ideas. However, there are many limitations to the use of social media, such as misinformation, lack of effective content moderation, digital piracy, data breaches, identity fraud, and fake news. In order to address these limitations, several studies have introduced the application of Blockchain technology in social media. Blockchains can provides transparency, traceability, tamper-proofing, confidentiality, security, information control, and supervision. This paper is a systematic literature review of papers covering the application of Blockchain technology in social media. To the best of our knowledge, this is the first systematic literature review that elucidates the combination of Blockchain and social media. Using several electronic databases, 42 related papers were reviewed. Our findings show that previous studies on the applications of Blockchain in social media are focused mainly on blocking fake news and enhancing data privacy. Research in this domain began in 2017. This review additionally discusses several challenges in applying Blockchain technologies in social media contexts, and proposes alternative ideas for future implementation and research.

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Section: Referencementioning

confidence: 99%

Section: Referencementioning

confidence: 99%

The Application of Blockchain in Social Media: A Systematic Literature Review

2022

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“…Iago Sestrem et al [23] presented the centralized blockchain platform for fake news detection. This approach consensus algorithm is designed based on data mining to acknowledge the shared information.…”

Section: B Blockchain Framework For Fake News Detectionmentioning

confidence: 99%

Fake Media Detection Based on Natural Language Processing and Blockchain Approaches

Shahbazi¹,

Byun

2021

IEEE Access

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Social media network is one of the important parts of human life based on the recent technologies and developments in terms of computer science area. This environment has become a famous platform for sharing information and news on any topics and daily reports, which is the main era for collecting data and data transmission. There are various advantages of this environment, but in another point of view there are lots of fake news and information that mislead the reader and user for the information needed. Lack of trust-able information and real news of social media information is one of the huge problems of this system. To overcome this problem, we have proposed an integrated system for various aspects of blockchain and natural language processing (NLP) to apply machine learning techniques to detect fake news and better predict fake user accounts and posts. The Reinforcement Learning technique is applied for this process. To improve this platform in terms of security, the decentralized blockchain framework applied, which provides the outline of digital contents authority proof. More specifically, the concept of this system is developing a secure platform to predict and identify fake news in social media networks.

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“…In [25,26], the authors developed implementations to ensure privacy in IoT environments. In [27], the authors developed a blockchain architecture to prevent fake news in social media. In [28], the authors used the Ethereum platform to optimize agricultural services.…”

Section: Blockchainmentioning

confidence: 99%

A Cost Analysis of Implementing a Blockchain Architecture in a Smart Grid Scenario Using Sidechains

Ochôa

Silva

Mello

et al. 2020

Sensors

Self Cite

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Smart grid systems have become popular and necessary for the development of a sustainable power grid. These systems use different technologies to provide optimized services to the users of the network. Regarding computing, these systems optimize electrical services by processing a large amount of the data generated. However, privacy and security are essential in this kind of system. With a large amount of data generated, it is necessary to protect the privacy of users, because this data may reveal the users’ personal information. Today, blockchain technology has proven to be an efficient architecture for solving privacy and security problems in different scenarios. Over the years, different blockchain platforms have emerged, attempting to solve specific problems in different areas. However, the use of different platforms fragmented the market, which was no different in the smart grid scenario. This work proposes a blockchain architecture that uses sidechains to make the system scalable and adaptable. We used three blockchains to ensure privacy, security, and trust in the system. To universalize the proposed solution, we used the Open Smart Grid Protocol and smart contracts. The results show that architecture security and privacy are guaranteed, making it feasible for implementation in real systems; although scalability issues regarding the storage of the data generated still exist.

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FakeChain: A Blockchain Architecture to Ensure Trust in Social Media Networks

Cited by 27 publications

References 9 publications

The Application of Blockchain in Social Media: A Systematic Literature Review

The Application of Blockchain in Social Media: A Systematic Literature Review

Fake Media Detection Based on Natural Language Processing and Blockchain Approaches

A Cost Analysis of Implementing a Blockchain Architecture in a Smart Grid Scenario Using Sidechains

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