CS Seminar on Machine Learning - AI: Detecting hate speech from Twitter
The Department of Computer Science cordially invites you to a timely seminar on detecting hate speech from Twitter.
The seminar is in the area of Machine Learning/Artificial Intelligence, delivered as part of the seminar series of the Computer Science graduate course COMP-500 Research Seminars and Methodology. Please note that the talk is relevant not only to AI specialists but to specialists from various disciplines such as social sciences, communication, law etc.
Title: “Monitoring and Detecting Online Hate Speech from Twitter"
Speaker: George Pallis, Assistant Professor, Department of Computer Science, University of Cyprus
Date and Venue: Wednesday, March 29, 2017, 17:00 in EU105
In recent years an ominous picture about online hate speech has started to materialise within cyberspace. Indeed, recent polls suggest that as many as four out of five respondents have encountered hate speech online and two out of five have personally felt attacked or threatened. Although it is difficult to get accurate statistics about the spread of hate speech in cyberspace, the picture is becoming increasingly clear: the internet is alarmingly effective at spreading hate speech – so much so that most internet users have encountered it at some point. To make matters worse, hate speech usually targets the most vulnerable groups within society: children, minorities, and immigrants – groups that by definition have little capacity to protect themselves, both in the online and the physical worlds. MANDOLA project (http://mandola-project.eu/ wants to make a bold step towards improving our understanding of the prevalence and spread of online hate speech and towards empowering ordinary citizens and policy makers to monitor and report hate speech. In this talk, we will present the multi-lingual monitoring dashboard, which has been developed within the Mandola project, in order to offer reliable information about online hate speech enabling users to focus on their geographic region ranging from their city to their country to the entire European Union. The dashboard uses Twitter and Web sites as sources of possible hate-related online content. MANDOLA is a two year project (started 1st October 2015) and is co-funded by the Rights, Equality and Citizenship (REC) Programme of the European Commission.
Speaker’s Short Bio:
George Pallis received his BSc (2001) and Ph.D. (2006) degree in Department of Informatics of Aristotle University of Thessaloniki (Greece). Currently, he is assistant professor at the Computer Science Department, University of Cyprus and Associate Director of Laboratory of Internet Computing. His research interests include Cloud computing with focus on Cloud elasticity and monitoring, Content Delivery Networks, and data analytics for Online Social Networks. He is principal institutional investigator in research projects funded by EC. Dr. Pallis is currently scientific manager of the H2020 UNICORN project. He has published over 70 papers in international journals (i.e., IEEE TKDE, ACM TOIT, IEEE TCC), magazines (i.e., Communications of ACM, IEEE Internet Computing) and conferences (i.e., INFOCOM, CCGrid, BigData, ASONAM) and he is contributor of the first international DIN (German Institute for Standardization) SPEC standard (DIN SPEC 91337). He is Associate Editor in Chief in the IEEE Internet Computing magazine, Associate Editor in the Computing Journal (Springer) and is one of the contributing experts for the EU Roadmap for Advanced Cloud Technologies under H2020.