Redesigning consent: Big data, bigger risks

Over the last decade, the rapid proliferation of social media platforms coupled with the advancement of computational methods for collecting, processing, and analyzing big datasets created new opportunities for social science. But alongside new insights about the behaviors of individuals and groups,...

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Bibliographic Details
Main Author: Joan Donovan
Format: Article
Language:English
Published: Harvard Kennedy School 2020-01-01
Series:Harvard Kennedy School Misinformation Review
Subjects:
Online Access:https://misinforeview.hks.harvard.edu/article/big-data-bigger-risks/
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Summary:Over the last decade, the rapid proliferation of social media platforms coupled with the advancement of computational methods for collecting, processing, and analyzing big datasets created new opportunities for social science. But alongside new insights about the behaviors of individuals and groups, these practices raise new questions regarding what constitutes ethical research. Most critically, current disinformation scholars face a replication crisis exacerbated by uneven access to datasets, where social media users are unaware of their participation in academic research. Establishing scientific norms, where research is shared with the individuals whose data are accessed and processed in the name of science, involves redesigning consent and providing universal public access to databases. Ultimately, without methodological norms for disinformation studies, the field will continue to be dominated by corporate interests, further endangering the public’s trust in disinformation research.
ISSN:2766-1652