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How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? ...
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"Call me sexist, but...": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples ...
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Speaker trait characterization in web videos: Uniting speech, language, and facial features
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In: Proceedings of the 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) ; 3647-3651 ; International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) ; 38 (2020)
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Mining cross-cultural relations from Wikipedia: A study of 31 European food cultures
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In: Proceedings of the 7th ACM Web Science Conference 2015 ; 1-10 ; ACM Web Science Conference (WebSci '15) ; 7 (2020)
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"(Weitergeleitet von Journalistin)": The Gendered Presentation of Professions on Wikipedia
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In: Proceedings of the 9th ACM on Web Science Conference 2017 ; 83-92 ; ACM Web Science Conference (WebSci '17) ; 9 (2020)
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Semantic stability in social tagging streams
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In: Proceedings of the 23rd International Conference on World Wide Web 2014 ; 735-746 ; International Conference on World Wide Web (WWW'14) ; 23 (2020)
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Mudança sintática em uma ilha linguística alemã sul-brasileira ; Syntatic change in a south-brazilian german linguistic island ; Syntatischer wandel in einer südbrasilischen deutschen sprachinsel
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Women through the glass ceiling: gender asymmetries in Wikipedia
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In: EPJ Data Science ; 5 ; 1-24 (2019)
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Homophily and minority size explain perception biases in social networks
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What increases (social) media attention: Research impact, author prominence or title attractiveness? ...
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Women Through the Glass Ceiling: Gender Asymmetries in Wikipedia ...
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Women through the glass ceiling: gender asymmetries in Wikipedia ...
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Abstract:
Contributing to the writing of history has never been as easy as it is today thanks to Wikipedia, a community-created encyclopedia that aims to document the world’s knowledge from a neutral point of view. Though everyone can participate it is well known that the editor community has a narrow diversity, with a majority of white male editors. While this participatory gender gap has been studied extensively in the literature, this work sets out to assess potential gender inequalities in Wikipedia articles along different dimensions: notability, topical focus, linguistic bias, structural properties, and meta-data presentation. We find that (i) women in Wikipedia are more notable than men, which we interpret as the outcome of a subtle glass ceiling effect; (ii) family-, gender-, and relationship-related topics are more present in biographies about women; (iii) linguistic bias manifests in Wikipedia since abstract terms tend to be used to describe positive aspects in the biographies of men and negative aspects in ... : EPJ Data Science, 5 ...
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Keyword:
gender inequality; historical relevance; lexical bias; linguistic bias; network structure; Wikipedia
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URL: http://hdl.handle.net/20.500.11850/114141 https://dx.doi.org/10.3929/ethz-b-000114141
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When politicians talk: assessing online conversational practices of political parties on Twitter
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In: Proceedings of the 8th International AAAI Conference on Weblogs and Social Media ; 285-294 ; International AAAI Conference on Weblogs and Social Media (ICWSM-14) ; 8 (2014)
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