Abstract

Abstract:

The web is packed with harming contents ranging from hate speech and fake news to propaganda and scams, to mention a few examples. In this talk, I will offer an overview of our efforts against some of them, under the premise that, by making them evident, their effect gets dimmed. The talk will depart at the identification of propaganda in text and will travel towards the identification of hate speech in both text and memes. I will close with some spoilers about our early works on identifying propaganda in both hate speech and spam email.

Bio:

Alberto Barrón-Cedeño obtained his PhD from Universitat Politècnica de València (Spain). He is associate professor at the Department of Interpreting and Translation, Università di Bologna (Italy); a former Scientist at Qatar Computing Research Institute (Qatar) and the Alain Bensoussan fellow at Universitat Politècnica de Catalunya (Spain). He is interested in the automatic analysis of diverse qualities of texts, such as originality, relevance, and intent; also across languages. Alberto has published 60+ papers in the most important forums of NLP and IR (e.g., ACL , EMNLP, SIGIR , ECIR, IP&M, LRE , KNOSYS). He has co-organized various editions of both PAN and CheckThat! labs at CLEF as well as the SemEval 2020 shared task on propaganda identification.

Topic: NLIP Seminar Time: Jun 10, 2022 12:00 PM London

Join Zoom Meeting https://cl-cam-ac-uk.zoom.us/j/94112888558?pwd=aGN2Skg2UFlnUkxWMmFuRjV6SCs0dz09

Meeting ID: 941 1288 8558 Passcode: 420834