WOAH 2020 | Call for Contributions
For the fourth edition of the Workshop on Online Abuse and Harms (4th WOAH!) we address these issues through our theme: Social Bias and Unfairness in Online Abuse Detection. We continue to emphasize the need for inter-, cross- and anti-disciplinary work on online abuse and harms, and invite paper submissions from a range of fields. These include but are not limited to: NLP, machine learning, computational social sciences, law, politics, psychology, network analysis, sociology and cultural studies. Additionally, in this iteration we invite civil society, in particular individuals and organisations working with women and marginalised communities who are often disproportionately affected by online abuse, to submit reports, case studies, findings, data, and to record their lived experiences. Finally, we are hosting a Shared Exploration through which we hope to develop strong cross-disciplinary analysis a single dataset. We hope that through these engagements we can develop computational tools which address the issues faced by those on the front-lines of tackling online abuse.
We have three calls for WOAH 2020
We invite long (8 pages) and short (4 pages) academic/research papers on topics relating to abusive and harmful content detection and analysis, especially papers which relate to our theme: Social Bias and Unfairness in Online Abuse Detection.
We invite organizations in civil society to submit reports, case studies and findings (of between 5 and 20 pages) on a broad range of topics relating to abusive and harmful content detection and analysis. Previously published work can be accepted as a non-archival submission.
We invite submissions that analysis a single dataset which pertains to the theme of this year's workshop: Bias and Unfairness in the Detection of Online Abuse. We adopt a holistic approach to evaluating submissions rather than just relying on one metric -- which is why this is a Shared Exploration rather than a Shared Task.
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