Big Data and Democracy

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Abstract

Recent technological developments have raised concerns about threats to democracy because of their potential to distort election outcomes: (a) data-driven voter research enabling political microtargeting, and (b) growing news consumption via social me- dia and news aggregators that obfuscate the origin of news items, leading to voters’ unawareness about a news sender’s identity. We provide a theoretical framework in which we can analyze the effects that microtargeting by political interest groups and unawareness have on election outcomes in comparison to “conventional” news report- ing. We show which voter groups suffer from which technological development, (a) or (b). While both microtargeting and unawareness have negative effects on voter welfare, we show that only unawareness can flip an election. Our model framework allows the theory-based discussion of policy proposals, such as to ban microtargeting or to require news platforms to signal the political orientation of a news item’s originator.
Original languageEnglish
Place of PublicationTilburg
PublisherTILEC
Number of pages54
Volume2020-003
Publication statusPublished - 24 Mar 2020

Publication series

NameTILEC Discussion Paper Series
Volume2020-003

Keywords

  • disinformation
  • interest groups
  • news platforms
  • microtargeting
  • voter awarness

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  • Cite this

    van Gils, F., Müller, W., & Prüfer, J. (2020). Big Data and Democracy. (TILEC Discussion Paper Series; Vol. 2020-003). TILEC.