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A Conceptual Characterization of Fake News: A Positioning Paper

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Research Challenges in Information Science (RCIS 2022)


Fake News have become a global phenomenon due to its explosive growth, particularly on social media. How to identify fake news is becoming an extremely attractive working domain. The lack of a sound, well-grounded conceptual characterization of what exactly a Fake news is and what are its main features, makes difficult to manage Fake News understanding, identification and creation. In this research we propose that conceptual modeling must play a crucial role to characterize Fake News content in a precise way. Only clearly delimiting what a Fake News is, it will be possible to understand and managing their different perspectives and dimensions, with the final purpose of developing any reliable framework for online Fake News detection as much automated as possible. This paper discusses the effort that should be made towards a precise conceptual model of Fake News and its relation with an XAI approach.

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  1. Bondarenko, I.: Tools of explicit propaganda: cognitive underpinnings. Open J. Mod. Linguist. 10, 23–48 (2020)

    Article  Google Scholar 

  2. CCDH: The disinformation dozen - why platforms must act on twelve leading online anti-vaxxers. Technical report, Center for Countering Digital Hate (2021)

    Google Scholar 

  3. CCN-CERT: Disinformation in cyberspace. Technical report, CP/13 (2021)

    Google Scholar 

  4. European Commission, Directorate-General for Communications Networks, Content and Technology: A multi-dimensional approach to disinformation: report of the independent High level Group on fake news and online disinformation. Publications Office (2018)

    Google Scholar 

  5. Kahneman, D., Diener, E., Schwarz, N.: Well-Being: Foundations of Hedonic Psychology. Russell Sage Foundation (1999)

    Google Scholar 

  6. Kovach, B., Rosenstiel, T.: The Elements of Journalism. Three Rivers Press, New York (2014)

    Google Scholar 

  7. Kumar, S., Shah, N.: False information on web and social media: a survey (2018)

    Google Scholar 

  8. Molina, M.D., Sundar, S.S., Le, T., Lee, D.: “Fake news’’ is not simply false information: a concept explication and taxonomy of online content. Am. Behav. Sci. 65(2), 180–212 (2021)

    Article  Google Scholar 

  9. Ziv, W.: Op-Ed: why can’t a generation that grew up online spot the misinformation in front of them? Los Angeles Times (2020)

    Google Scholar 

  10. Pierri, F., Ceri, S.: False news on social media: a data-driven survey. SIGMOD Rec. 48(2), 18–27 (2019)

    Article  Google Scholar 

  11. Plutchik, R.: Emotion: Theory, Research, and Experience, vol. 1. Theories of Emotion (1980)

    Google Scholar 

  12. Santos-d’Amorim, K., Miranda, M.: Misinformation, disinformation, and malinformation: clarifying the definitions and examples in disinfodemic times. Encontros Bibli Revista Eletrônica de Biblioteconomia e Ciência da Informação, March 2021

    Google Scholar 

  13. Shu, K., Sliva, A., Wang, S., Tang, J., Liu, H.: Fake news detection on social media: a data mining perspective. SIGKDD Explor. Newsl. 19(1), 22–36 (2017)

    Article  Google Scholar 

  14. Spreeuwenberg, S.: AIX: Artificial Intelligence Needs eXplanation: Why and How Transparency Increases the Success of AI Solutions. LibRT BV, Amsterdam (2019)

    Google Scholar 

  15. Tandoc, E., Lim, Z., Ling, R.: Defining “Fake News”: a typology of scholarly definitions. Digital Journalism 6, 1–17 (2017)

    Google Scholar 

  16. Wang, C.: Fake news and related concepts: definitions and recent research development. Contemp. Manag. Res. 16, 145–174 (2020)

    Article  Google Scholar 

  17. Wardle, C., Derakhshan, H.: Information disorder: toward an interdisciplinary framework for research and policy making. Council of Europe (2017)

    Google Scholar 

  18. Weiss, A.P., Alwan, A., Garcia, E.P., Kirakosian, A.T.: Toward a comprehensive model of fake news: a new approach to examine the creation and sharing of false information. Societies 11(3), 1–17 (2021)

    Article  Google Scholar 

  19. Zafarani, R., Zhou, X., Shu, K., Liu, H.: Fake news research: theories, detection strategies, and open problems. In: Proceedings of the 25th ACM SIGKDD, pp. 3207–3208. Association for Computing Machinery (2019)

    Google Scholar 

  20. Zhang, X., Ghorbani, A.: An overview of online fake news: characterization, detection, and discussion. Inf. Process. Manage. 57(2), 102025 (2020)

    Article  Google Scholar 

  21. Zhou, X., Zafarani, R.: A survey of fake news: fundamental theories, detection methods, and opportunities. ACM Comput. Surv. 53(5), 1–40 (2020)

    Article  Google Scholar 

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Correspondence to Nicolas Belloir .

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Belloir, N., Ouerdane, W., Pastor, O., Frugier, É., de Barmon, LA. (2022). A Conceptual Characterization of Fake News: A Positioning Paper. In: Guizzardi, R., Ralyté, J., Franch, X. (eds) Research Challenges in Information Science. RCIS 2022. Lecture Notes in Business Information Processing, vol 446. Springer, Cham.

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