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arXiv · 1902.03093

A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter

Laure Delisle·Alfredo Kalaitzis·Krzysztof Majewski·Archy de Berker·Milena Marin·Julien Cornebise
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Abstract

We report the first, to the best of our knowledge, hand-in-hand collaboration between human rights activists and machine learners, leveraging crowd-sourcing to study online abuse against women on Twitter. On a technical front, we carefully curate an unbiased yet low-variance dataset of labeled tweets, analyze it to account for the variability of abuse perception, and establish baselines, preparing it for release to community research efforts. On a social impact front, this study provides the technical backbone for a media campaign aimed at raising public and deciders' awareness and elevating the standards expected from social media companies.

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Laure Delisle, Alfredo Kalaitzis, Krzysztof Majewski, Archy de Berker, Milena Marin, Julien Cornebise. 2019-01-31. A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter. https://arxiv.org/abs/1902.03093

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