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Attention and Counter-Framing in the Black Lives Matter Movement on Twitter

Political Science

Attention and Counter-Framing in the Black Lives Matter Movement on Twitter

C. Klein, R. Reimann, et al.

This fascinating study by Colin Klein, Ritsaart Reimann, Ignacio Ojea Quintana, Marc Cheong, Marinus Ferreira, and Mark Alfano delves into the dynamics of attentional and framing mechanisms in the Black Lives Matter movement on Twitter. Discover how left-leaning and right-wing narratives shape the conversation and the striking themes that emerge from 118 million tweets. Dive into the complexities of online social movements and their representation!

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~3 min • Beginner • English
Abstract
The social media platform Twitter platform has played a crucial role in the Black Lives Matter (BLM) movement. The immediate, flexible nature of tweets plays a crucial role both in spreading information about the movement's aims and in organizing individual protests. Twitter has also played an important role in the right-wing reaction to BLM, providing a means to reframe and recontextualize activists’ claims in a more sinister light. The ability to bring about social change depends on the balance of these two forces, and in particular which side can capture and maintain sustained attention. The present study examines 2 years worth of tweets about BLM (about 118 million in total). Timeseries analysis reveals that activists are better at mobilizing rapid attention, whereas right-wing accounts show a pattern of moderate but more sustained activity driven by reaction to political opponents. Topic modeling reveals differences in how different political groups talk about BLM. Most notably, the murder of George Floyd appears to have solidified a right-wing counter-framing of protests as arising from dangerous “terrorist” actors. The study thus sheds light on the complex network and rhetorical effects that drive the struggle for online attention to the BLM movement.
Publisher
Humanities and Social Sciences Communications
Published On
Oct 12, 2022
Authors
Colin Klein, Ritsaart Reimann, Ignacio Ojea Quintana, Marc Cheong, Marinus Ferreira, Mark Alfano
Tags
Black Lives Matter
Twitter
social movements
framing dynamics
attention
political discourse
topic modeling
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