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| "paper_id": "2021", |
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| "date_generated": "2023-01-19T05:10:21.528810Z" |
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| "title": "Organizing Committee", |
| "authors": [ |
| { |
| "first": "Aida", |
| "middle": [ |
| "Mostafazadeh" |
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| "last": "Davani", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "University of Sheffield", |
| "location": { |
| "region": "Facebook" |
| } |
| }, |
| "email": "" |
| }, |
| { |
| "first": "Syed", |
| "middle": [ |
| "Sarfaraz" |
| ], |
| "last": "Akhtar", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "Apple Inc (United States) Mark Alfano, Macquarie University (Australia) Pinkesh Badjatiya, International Institute of Information Technology Hyderabad", |
| "institution": "", |
| "location": { |
| "country": "India" |
| } |
| }, |
| "email": "" |
| }, |
| { |
| "first": "Su", |
| "middle": [ |
| "Lin" |
| ], |
| "last": "Blodgett", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "Microsoft Research (United States) Sravan Bodapati, Amazon (United States) Andrew Caines, University of Cambridge (United Kingdom) Tuhin Chakrabarty, Columbia University (United States) Aron Culotta, Tulane University (United States) Thomas Davidson, Cornell University (United States) Lucas Dixon, Google Research (France) Nemanja Djuric, Aurora Innovation (United States) Paula Fortuna, \"TALN, Pompeu Fabra University\" (Portugal) Lee Gillam, University of Surrey (United Kingdom) Tonei Glavinic, Dangerous Speech Project", |
| "institution": "", |
| "location": { |
| "country": "Spain" |
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| }, |
| "email": "" |
| }, |
| { |
| "first": "Marco", |
| "middle": [], |
| "last": "Guerini", |
| "suffix": "", |
| "affiliation": {}, |
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| { |
| "first": "Bruno", |
| "middle": [], |
| "last": "Kessler", |
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| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Christopher", |
| "middle": [], |
| "last": "Homan", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "Rochester Institute of Technology (United States) Muhammad Okky Ibrohim, Universitas Indonesia (Indonesia) Srecko Joksimovic, University of South Australia (Australia) Nishant Kambhatla, Simon Fraser University (Canada) Brendan Kennedy, University of Southern California (United States) Ashiqur KhudaBukhsh, Carnegie Mellon University (United States) Ralf Krestel, \"Hasso Plattner Institute, University of Potsdam\" (Germany) Diana Maynard, University of Sheffield (United Kingdom) Smruthi Mukund, Amazon (United States) Isar Nejadgholi, National Research Council Canada (Canada) Shaoliang Nie, Facebook Inc (United States) Debora Nozza, Bocconi University (Italy) Viviana Patti, \"University of Turin", |
| "institution": "", |
| "location": { |
| "country": "Germany" |
| } |
| }, |
| "email": "" |
| }, |
| { |
| "first": "Julian", |
| "middle": [], |
| "last": "Risch", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "University of Edinburgh (United Kingdom) Paul R\u00f6ttger, University of Oxford (United Kingdom) Niloofar Safi Samghabadi, Expedia Inc. (United States) Qinlan Shen, Carnegie Mellon University (United States) Jeffrey Sorensen, Google Jigsaw (United States", |
| "institution": "", |
| "location": {} |
| }, |
| "email": "" |
| }, |
| { |
| "first": "Bj\u00f6rn", |
| "middle": [], |
| "last": "Ross", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "University of Edinburgh (United Kingdom) Paul R\u00f6ttger, University of Oxford (United Kingdom) Niloofar Safi Samghabadi, Expedia Inc. (United States) Qinlan Shen, Carnegie Mellon University (United States) Jeffrey Sorensen, Google Jigsaw (United States", |
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| "year": "", |
| "venue": null, |
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| "abstract": "", |
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| "paper_id": "2021", |
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| "abstract": [], |
| "body_text": [ |
| { |
| "text": "Digital technologies have brought myriad benefits for society, transforming how people connect, communicate and interact with each other. However, they have also enabled harmful and abusive behaviours to reach large audiences and for their negative effects to be amplified, including interpersonal aggression, bullying and hate speech. Already marginalised and vulnerable communities are often disproportionately at risk of receiving such abuse, compounding other social inequalities and injustices. The Workshop on Online Abuse and Harms (WOAH) convenes research into these issues, particularly work that develops, interrogates and applies computational methods for detecting, classifying and modelling online abuse.", |
| "cite_spans": [], |
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| "eq_spans": [], |
| "section": "Message from the Organisers", |
| "sec_num": null |
| }, |
| { |
| "text": "Technical disciplines such as machine learning and natural language processing (NLP) have made substantial advances in creating more powerful technologies to stop online abuse. Yet a growing body of work shows the limitations of many automated detection systems for tackling abusive online content, which can be biased, brittle, low performing and simplistic. These issues are magnified by the lack of explainability and transparency. And although WOAH is collocated with ACL and many of our papers are rooted firmly in the field of machine learning, these are not purely engineering challenges, but raise fundamental social questions of fairness and harm. For this reason, we continue to emphasise the need for inter-, cross-and anti-disciplinary work by inviting contributions from a range of fields, including but not limited to: NLP, machine learning, computational social sciences, law, politics, psychology, network analysis, sociology and cultural studies. In this fifth edition of WOAH we direct the conversation at the workshop through our theme: Social Bias and Unfairness in Online Abuse Detection Systems. Continuing the tradition started in WOAH 4, we have invited civil society, in particular individuals and organisations working with women and marginalised communities, to submit reports, case studies, findings, data, and to record their lived experiences through our civil society track. Our hope is that WOAH provides a platform to facilitate the interdisciplinary conversations and collaborations that are needed to effectively and ethically address online abuse.", |
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| "section": "Message from the Organisers", |
| "sec_num": null |
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| "text": "Speaking to the complex nature of the issue of online abuse, we are pleased to invite Leon Derczynski, currently an Associate Professor at ITU Copenhagen who works on a range of topics in Natural Language Processing; Deb Raji, currently a Research Fellow at Mozilla who researches AI accountability and auditing; Murali Shanmugavelan, currently a researcher at the Centre for Global Media and Communications at SOAS (London) to deliver keynotes. We are grateful to all our speakers for being available, and look forward to the dialogues that they will generate. On the day of WOAH the invited keynote speakers will give talks and then take part in a multi-disciplinary panel discussion to debate our theme and other issues in computational online abuse research. This will be followed by paper Q&A sessions, with facilitated discussions. Due to the virtual nature of this edition of the workshop, we have gathered papers into thematic panels to allow for more in-depth and rounded discussions.", |
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| "section": "Message from the Organisers", |
| "sec_num": null |
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| "text": "In this edition of the workshop, we introduce our first official Shared Task for fine-grained detection of hateful memes, in recognition of the ever-growing complexity of human communication. Memes and their communicative intent can be understood by humans because we jointly understand the text and pictures. In contrast, most AI systems analyze text and image separately and do not learn a joint representation. This is both inefficient and flawed, and such systems are likely to fail when a non-hateful image is combined with non-hateful text to produce content that is nonetheless still hateful. For AI to detect this sort of hate it must learn to understand content the way that people do: holistically.", |
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| "section": "Message from the Organisers", |
| "sec_num": null |
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| { |
| "text": "Continuing the success of past editions of the workshop, we received 48 submissions. Following a rigorous review process, we selected 24 submissions to be presented at the workshop. These include 13 long papers, 7 short papers, 3 shared-task system descriptions, and 1 extended abstract. The accepted papers cover a wide array of topics: Understanding the dynamics and nature of online abuse; BERTology: transformer-based modelling of online abuse; Datasets and language resources for online abuse; Fairness, bias and understandability of models; Analysing models to improve real-world performance; Resources for non-English languages. We are hugely excited about the discussions which will take place around these works. We are grateful to everyone who submitted their research and to our excellent team of reviewers.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Message from the Organisers", |
| "sec_num": null |
| }, |
| { |
| "text": "With this, we welcome you to the Fifth Workshop on Online Abuse and Harms. We look forward to a day filled with spirited discussion and thought provoking research! Aida, Bertie, Douwe, Lambert, Vinod and Zeerak. ", |
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| "section": "Message from the Organisers", |
| "sec_num": null |
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