Authors: J Scott Brennen, Philip N Howard, Rasmus K Nielsen Abstract Drawing on scholarship in journalism studies and the sociology of expectations, this article demonstrates how news media shape, mediate, and amplify expectations surrounding artificial intelligence in ways that influence their potential to intervene in the world. Through a critical […]
Platforms like Twitter and sources like Wikipedia are important parts of the information diet for many citizens. In this data memo, we analyse Twitter data on bot activity and junk news for a week in the final stages of campaigning of the 2017 UK General Election and also present data […]
Computational propaganda distributes large amounts of misinformation about politics and public policy over social media platforms. The combination of automation and propaganda can significantly impact public opinion during important policy debates, elections, and political crises. We collected Twitter data on bot activity and junk news using a set of hashtags […]
Political parties are among the most lax, unregulated organizations handling large volumes of personally identifiable data about citizens’ behavior and attitudes. We analyze the privacy practices of political parties in Australia, Canada, United Kingdom, and United States to assess the current state of electorate data, compare regulatory efforts, and offer […]
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