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Charlotte Foster

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AI3SD AI4Good Workshop @ WebSci’20 Report 2020

Abstract: This year the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery -www.ai3sd.org) ran a workshop at the WebSci20 Conference. We are living through an AI and data revolution. Artificial and augmented intelligence systems are already being used in the scientific discovery domain and have the potential to make a groundbreaking impact. Continue reading →

#WebSci20: Post-workshop report on Socio-technical AI Systems for Defence, Cybercrime and Cybersecurity (STAIDCC20) by Stuart Middleton

Posted on behalf of Stuart Middleton When we put together the STAIDCC20 workshop our aim was to bring together a mixture of inter-disciplinary researchers and practitioners working in defence, cybercrime and cybersecurity application areas to discuss and explore the challenges and future research directions around socio-technical AI systems. The workshop, despite challenges moving to a virtual presentation format, successfully did exactly this. Continue reading →

#WebSci20 – Paper Session 7: Bias and fairness by Robert Thorburn

Posted on behalf of Robert Thorburn Chair: Katharina Kinder-Kurlanda The seventh session of Web Science 2020, chaired by Katharina Kinder-Kurlander, presented papers focused on issues of bias and fairness. As with other paper sessions at the conference, the speakers represented universities from across the globe and had widely divergent focus areas within the broader theme. Continue reading →

#WebSci20 – Paper Session 6: Text, Topics and Trends by Robert Thorburn

Posted on behalf of Robert Thorburn The sixth paper session at the 2020 Web Science conference presented a broad scope collectively titled as “Text, Topics and Trends”. Presented by academics from Europe to Japan, the papers in this session tackled topics ranging from an exploration of linked subcultures to a classification of information exchanged during disasters. Continue reading →

#WebSci20 – Paper Session 8: NLP+CSS by Robert Thorburn

Posted on behalf of Robert Thorburn The eighth and second last paper session at Web Science 2020 dealt with the use of Natural Language Processing (NLP) in the Computational Social Siences (CSS). Unsurprisingly, NLP techniques were employed by a number of researchers in other paper sessions, but the need for a more focused session was clear, given the utility of such techniques for CSS studies. Continue reading →

#WebSci 20 – Paper Session: Hate Speech and Propaganda by Ashton Kingdon

Posted on behalf of Ashton Kingdon Paper 1: DeepHate: Hate Speech Detection via Multi-Faceted Text Representations Rui Cao, Roy Ka-Wei Lee and Tuan-Anh Hoang This paper acknowledges that whilst there may be many traditional machine learning and deep learning methods to automatically detect hate speech on social media fora, many of these methods only consider single-type textual features and consequently neglect richer textual information that could be utilised to improve detection. Continue reading →