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A Prototype Framework for Assessing Information Provenance in Decentralised Social Media: The EUNOMIA Concept

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1111))

Abstract

Users of traditional centralised social media networks have limited knowledge about the original source of information and even less about its trustworthiness and how this information has spread and been modified. Existing media verification tools include websites or browser add-ons that are closed-source or centralised, or they do not include user involvement in the information verification process. In this paper, we introduce EUNOMIA, an open source, decentralised framework that aims at providing information about social media content and context in an intermediary-free approach and in a way that assists users in deriving their own conclusions regarding a social media post’s trustworthiness. We present its components, how they interact with each other and how user contribution is key to its concept.

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Notes

  1. 1.

    https://joinmastodon.org.

  2. 2.

    https://diasporafoundation.org.

  3. 3.

    The EUNOMIA acronym is after the Greek goddess of good order and lawful conduct, associated with the internal stability of a state, including the enactment of good laws and the maintenance of civil order.

  4. 4.

    https://machinebox.io/.

References

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Acknowledgment

Work presented in this paper has received funding from the European Union’s H2020 research and innovation programme under EUNOMIA project, grant agreement No. 825171.

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Correspondence to Lazaros Toumanidis .

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Toumanidis, L., Heartfield, R., Kasnesis, P., Loukas, G., Patrikakis, C. (2020). A Prototype Framework for Assessing Information Provenance in Decentralised Social Media: The EUNOMIA Concept. In: Katsikas, S., Zorkadis, V. (eds) E-Democracy – Safeguarding Democracy and Human Rights in the Digital Age. e-Democracy 2019. Communications in Computer and Information Science, vol 1111. Springer, Cham. https://doi.org/10.1007/978-3-030-37545-4_13

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  • DOI: https://doi.org/10.1007/978-3-030-37545-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37544-7

  • Online ISBN: 978-3-030-37545-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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