Deen Freelon talks about research data sourced from social media platforms to support computational research approaches in social science and whether both accessibility and representation have changed in the intervening period since his influential 2018 paper.
Despite its brevity, the essay, Computational research in the post-API age (”Freelon, 2018) sparked an interdisciplinary discussion about options for collecting and analyzing social media data at a time when platforms were imposing tight restrictions on their formerly open APIs or closing them altogether. This keynote will explore some of what has and has not changed in the ensuing three years for computational researchers interested in social media data. In particular, it will focus on three key issues that have increased greatly in prominence since 2018: (1) the process of collaborating directly with social media companies on research projects, (2) the ethics of hacked and leaked datasets, and (3) ethno-racial and gender inequities in web- and computational social science.
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This video is (c) 2021 provided under license from the ACM.