Abstract
Fake news has become the norm in our times. With the coming of social media platforms, where anyone can write/post on any issues without any regulations, sometimes based on what they read from various platforms and sometimes based on what they are asked to believe in by political ideologies, fake news has become a phenomenon that requires serious academic investigation as it has dangerous consequences in society. This chapter attempts to argue for a possible and productive conversation between science and technology studies (STS) and data science to talk about the politics of fake news production. It argues that STS can work as a close ally of data science to bring in questions of power and politics associated with fake news, and its methods can be used in data science to make it more socially relevant.
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Thomas, R. (2021). STS, Data Science, and Fake News: Questions and Challenges. In: Data Science for Fake News. The Information Retrieval Series, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-030-62696-9_14
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DOI: https://doi.org/10.1007/978-3-030-62696-9_14
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