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TruthSeekers Chain: Leveraging Invisible CAPPCHA, SSI and Blockchain to Combat Disinformation on Social Media

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Computational Science and Its Applications – ICCSA 2022 Workshops (ICCSA 2022)

Abstract

Disinformation has become a worrisome phenomenon at a global scale, spreading rapidly thanks to the growth of social media and frequently causing serious harm. For instance, it can perplex and manipulate users, fuel scepticism on crucial issues such as climate change, jeopardize a variety of human rights, such as the right to free and fair elections, the right to health, to non-discrimination, etc.

Among the most used tools and techniques to spread disinformation are social bots, deep-fakes, and impersonation of authoritative media, people, or governments through false social media accounts. To deal with these issues, in this paper, we suggest TruthSeekers Chain, a platform which add a layer on top of the existing social media networks where I) the feed is augmented with new functionalities and reliable information retrieved from a blockchain II) a bot screening mechanism is used to allow only human generated content and engagement to be posted, III) the platform is open to integration of 3rd-party content verification tools helping the user to identify the manipulated or tampered content and IV) a self sovereign identity model is used to ensure accountability and to contribute building a reliable portable reputation system.

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Acknowledgments

This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 957228 (TruBlo) and has also received financial support from Gruppo SIGLA s.r.l.

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Correspondence to Meriem Guerar .

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Guerar, M., Migliardi, M. (2022). TruthSeekers Chain: Leveraging Invisible CAPPCHA, SSI and Blockchain to Combat Disinformation on Social Media. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13380. Springer, Cham. https://doi.org/10.1007/978-3-031-10542-5_29

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  • DOI: https://doi.org/10.1007/978-3-031-10542-5_29

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