Socialbot representations on cross media platforms during 2020 Taiwanese Presidential Election

Trisha T. C. Lin

23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world from International Telecommunications Society (ITS)

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.

Keywords: Socialbots; disinformation; Taiwanese Presidential Election; big data; sentiment analysis; inter media agenda setting (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-big, nep-isf, nep-pay and nep-pol
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:itsb21:238037

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