Workshopping on social big data and adversarial publics

This report is based on an empirical case study on content moderation, whose objective is to interrogate whether content moderation can be reclaimed by users as a practice they are partly responsible of, not only subjected to. We introduce a participatory method to social sciences that could contribute to research on social big data. Participatory methods can help mitigate the propensity to attribute to Machine Learning technologies and Artificial Intelligence the capacity of solving social issues, and, instead, can encourage public participation. The detection and classification of online content by social media users allow to discuss ethical issues related to automatic methods, as they surface in everyday life.

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Additional Info
Field Value
Accessibility Both
AccessibilityMode Download
Availability On-Line
Basic rights Download
CreationDate 2023-03-02
Creator Meunier, Axel,
Field/Scope of use Non-commercial only
Group Societal Debates and Misinformation
Owner Meunier, Axel,
Sublicense rights No
Territory of use World Wide
Thematic Cluster Other
system:type Method
Management Info
Field Value
Author MEUNIER Axel
Maintainer MEUNIER Axel
Version 1
Last Updated 11 September 2023, 15:32 (CEST)
Created 2 March 2023, 16:48 (CET)