Black Lives Matter in Wikipedia: Collaboration and Collective Memory around Online Social Movements
arXiv:1611.01257 · doi:10.1145/2998181.2998232
Abstract
Social movements use social computing systems to complement offline mobilizations, but prior literature has focused almost exclusively on movement actors' use of social media. In this paper, we analyze participation and attention to topics connected with the Black Lives Matter movement in the English language version of Wikipedia between 2014 and 2016. Our results point to the use of Wikipedia to (1) intensively document and connect historical and contemporary events, (2) collaboratively migrate activity to support coverage of new events, and (3) dynamically re-appraise pre-existing knowledge in the aftermath of new events. These findings reveal patterns of behavior that complement theories of collective memory and collective action and help explain how social computing systems can encode and retrieve knowledge about social movements as they unfold.
arXiv comment14 pages
References in corpus (1)
Cited by in corpus (7)
- Evaluating the Experience of LGBTQ+ People Using Large Language Model Based Chatbots for Mental Health Support
- A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users
- What are People Talking about in #BlackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerging in Online Social Movements through the Latent Dirichlet Allocation Model
- "This is why we play": Characterizing Online Fan Communities of the NBA Teams
- Dismantling Gender Blindness in Online Discussion of a Crime/Gender Dichotomy
- Challenges in Restructuring Community-based Moderation
- Black Older Adults' Perception of Using Voice Assistants to Enact a Medical Recovery Curriculum