Classification and Its Consequences for Online Harassment: Design Insights from HeartMob

Online harassment is a pervasive and pernicious problem. Techniques like natural language processing and machine learning are promising approaches for identifying abusive language, but they fail to address structural power imbalances perpetuated by automated labeling and classification. Similarly, p...

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Bibliographic Details
Published in:	Proceedings of the ACM on human-computer interaction 2017-12, Vol.1 (CSCW), p.1-19, Article 24
Main Authors:	Blackwell, Lindsay, Dimond, Jill, Schoenebeck, Sarita, Lampe, Cliff
Format:	Article
Language:	English
Subjects:	Censorship Collaborative and social computing Collaborative and social computing theory, concepts and paradigms Computer supported cooperative work Computing / technology policy Cross-computing tools and techniques Empirical studies Empirical studies in collaborative and social computing Empirical studies in HCI Gender General and reference Hate speech HCI design and evaluation methods HCI theory, concepts and models Human computer interaction (HCI) Human-centered computing Political speech Race and ethnicity Sexual orientation Social and professional topics Social media User characteristics User studies
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