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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| Accès en ligne: | https://arxiv.org/abs/2510.12243 |
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| _version_ | 1866909844368261120 |
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| author | Choi, Jeanne Kang, DongJae Choi, Yubin Lee, Juhoon Seering, Joseph |
| author_facet | Choi, Jeanne Kang, DongJae Choi, Yubin Lee, Juhoon Seering, Joseph |
| contents | As social media adoption grows globally, online problematic behaviors increasingly escalate into large-scale crises, requiring an evolving set of mitigation strategies. While HCI research often analyzes problematic behaviors with pieces of user-generated content as the unit of analysis, less attention has been given to event-focused perspectives that track how discrete events evolve. In this paper, we examine 'social media crises': discrete patterns of problematic behaviors originating and evolving within social media that cause larger-scale harms. Using global news coverage, we present a dataset of 93,250 news articles covering social media-endemic crises from the past 20 years. We analyze a representative subset to classify stakeholder roles, behavior types, and outcomes, uncovering patterns that inform more nuanced classification of social media crises beyond content-based descriptions. By adopting a wider perspective, this research seeks to inform the design of safer platforms, enabling proactive measures to mitigate crises and foster more trustworthy online environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_12243 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CrisisNews: A Dataset Mapping Two Decades of News Articles on Online Problematic Behavior at Scale Choi, Jeanne Kang, DongJae Choi, Yubin Lee, Juhoon Seering, Joseph Social and Information Networks Human-Computer Interaction As social media adoption grows globally, online problematic behaviors increasingly escalate into large-scale crises, requiring an evolving set of mitigation strategies. While HCI research often analyzes problematic behaviors with pieces of user-generated content as the unit of analysis, less attention has been given to event-focused perspectives that track how discrete events evolve. In this paper, we examine 'social media crises': discrete patterns of problematic behaviors originating and evolving within social media that cause larger-scale harms. Using global news coverage, we present a dataset of 93,250 news articles covering social media-endemic crises from the past 20 years. We analyze a representative subset to classify stakeholder roles, behavior types, and outcomes, uncovering patterns that inform more nuanced classification of social media crises beyond content-based descriptions. By adopting a wider perspective, this research seeks to inform the design of safer platforms, enabling proactive measures to mitigate crises and foster more trustworthy online environments. |
| title | CrisisNews: A Dataset Mapping Two Decades of News Articles on Online Problematic Behavior at Scale |
| topic | Social and Information Networks Human-Computer Interaction |
| url | https://arxiv.org/abs/2510.12243 |