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Socialbot representations on cross media platforms during 2020 Taiwanese Presidential Election

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  • Lin, Trisha T. C.

Abstract

This big data research uses CORPRO, sentiment analysis and inter-media agenda setting approach to investigate cross-platform representation of socialbots and disinformation during 2020 Taiwanese presidential election. The results show key terms associated with socialbots emphasize Internet armies, election candidates, Facebook and China/Taiwan relations. Sentiment analysis of socialbot-related cross-platform contents tend to be negative, regardless of media types. Forums contents encompassed more diverse topics and negativity than news media and Facebook. Polarized sentiments and political slants were found in three media types. The time-series analysis of the salient socialbot event regarding Facebook's deleting illegal account showed inter-media agenda-setting from news to Facebook and forms. Even though news media set the initial agenda, journalists and social media users alter story angels and extend narratives to fit political inclinations and reflect polarized views.

Suggested Citation

  • Lin, Trisha T. C., 2021. "Socialbot representations on cross media platforms during 2020 Taiwanese Presidential Election," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238037, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb21:238037
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    References listed on IDEAS

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    1. Jacob Groshek & Megan Clough Groshek, 2013. "Agenda Trending: Reciprocity and the Predictive Capacity of Social Networking Sites in Intermedia Agenda Setting across Topics over Time," Media and Communication, Cogitatio Press, vol. 1(1), pages 15-27.
    2. Oecd, 2017. "Open research agenda setting," OECD Science, Technology and Industry Policy Papers 50, OECD Publishing.
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    More about this item

    Keywords

    Socialbots; disinformation; Taiwanese Presidential Election; big data; sentiment analysis; inter media agenda setting;
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