Title:
Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism
Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism
Time:
11/13 (Sat.) 5 pm PST, 6 pm MST, 7 pm CST, 8 pm EST
11/14 (Sun.) 2 am CET, 9 am Taiwan
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11/13 (Sat.) 5 pm PST, 6 pm MST, 7 pm CST, 8 pm EST
11/14 (Sun.) 2 am CET, 9 am Taiwan
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Keywords:
Computer Science, Blockchain, Security, Social media, and IoT, Authenticity, False information prevention, Malicious behaviors, Reward and punishment, Social media
Computer Science, Blockchain, Security, Social media, and IoT, Authenticity, False information prevention, Malicious behaviors, Reward and punishment, Social media
為配合本研究發表時程，本次錄影將延遲上傳
Abstract:
Fake news is undoubtedly a significant threat to democratic countries because existing technologies can quickly and massively produce fake videos, articles, or social media messages based on the rapid development of artificial intelligence and deep learning. Therefore, human assistance is critical if current automatic fake new identification technologies desire to improve accuracy. Given this situation, prior research has proposed to add a quorum, a group of appraisers trusted by users to verify the authenticity of the information, to the fake news prevention systems. This paper proposes a stake-based incentive mechanism to diminish the negative effect of malicious behaviors on a quorum-based fake news prevention system. Moreover, we use Hyperledger Fabric, Schnorr signatures, and human appraisers to implement a practical prototype of a quorum-based fake news prevention system. The outcomes of the case analyses and experiments show that our mechanisms are feasible and provide an example for future research.
Fake news is undoubtedly a significant threat to democratic countries because existing technologies can quickly and massively produce fake videos, articles, or social media messages based on the rapid development of artificial intelligence and deep learning. Therefore, human assistance is critical if current automatic fake new identification technologies desire to improve accuracy. Given this situation, prior research has proposed to add a quorum, a group of appraisers trusted by users to verify the authenticity of the information, to the fake news prevention systems. This paper proposes a stake-based incentive mechanism to diminish the negative effect of malicious behaviors on a quorum-based fake news prevention system. Moreover, we use Hyperledger Fabric, Schnorr signatures, and human appraisers to implement a practical prototype of a quorum-based fake news prevention system. The outcomes of the case analyses and experiments show that our mechanisms are feasible and provide an example for future research.
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