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Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media

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arxiv 1803.08022 v1 pith:A5EEDCIU submitted 2018-03-21 cs.SI

classification cs.SI
keywords metoopostsmediasocialmovementsharedtwitteranalysis
verification ladder T0 review T1 audit T2 compute T3 formal

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Social media platforms are revolutionizing the way users communicate by increasing the exposure to highly stigmatized issues in the society. Sexual abuse is one such issue that recently took over social media via attaching the hashtag #metoo to the shared posts. Individuals with different backgrounds and ethnicities began sharing their unfortunate personal experiences of being assaulted. Through comparative analysis of the tweets via #meToo on Twitter versus the posts shared on the #meToo subreddit, this paper makes an initial attempt to assess public reactions and emotions. Though nearly equal ratios of negative and positive posts are shared on both platforms, Reddit posts are focused on the sexual assaults within families and workplaces while Twitter posts are on showing empathy and encouraging others to continue the #metoo movement. The data collected in this research and preliminary analysis demonstrate that users use various ways to share their experience, exchange ideas and encourage each other, and social media is suitable for groundswells such as #metoo movement.

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Queueing for Civility: User Perspectives on Regulating Emotions in Online Conversations

    cs.CY 2025-05 reject novelty 5.0 of 10

    This study claims that delaying emotionally charged comments by about 47 seconds can reduce the spread of anger and hate speech by up to 15%, based on a simulation over Reddit data and a 20-person survey.

  2. Queuing for Civility: Regulating Emotions and Reducing Toxicity in Digital Discourse

    cs.HC 2025-08 reject novelty 4.0 of 10

    A comment queue that holds emotionally volatile comments until thread anger drops is claimed to reduce anger spread by 15%, but the reduction is produced by the queue rule itself, not by measured human behavior.

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