Paolo Rosso is Full Professor at the Universitat Politècnica de València (UPV), where he is also a member of the Pattern Recognition and Human Language Technology (PRHLT) research center (http://personales.upv.es/prosso/).

His research interests are focused on social media text analysis, mainly on fake news and hate speech detection, author profiling, and sarcasm detection. He has published 50+ articles in journals (34 Q1) and 400+ articles in conferences and workshops: he has an H-index of 68 (source: Google Scholar) and he is in the ranking of the top H-index scientists in Spain (http://www.guide2research.com/scientists/ES).

In November 2022 he received the UPV Research Award in the category of Excellent Publication in Engineering and Technology for the work on Automatic identification and classification of misogynistic language on Twitter. He has been PI of several national and international research projects funded by EC, US Army Research Office, Qatar National Research Fund, and Vodafone Spain. Some of them addressed the problem of hate speech such as the project MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech funded by the Spanish Ministry of science and innovation), the public procurement with OBERAXE (the Spanish Observatory on racism and xenophobia of the Secretary of State for Migration), and the project on Resources and applications for detecting and classifying polarized hate speech in Arabic social media (funded by Qatar National Research Fund). Paolo Rosso helped organising 30+ shared tasks at the PAN Lab at CLEF and FIRE evaluation forums, SemEval, IberLEF and Evalita on topics such as author profiling (e.g. profiling bots, haters, and fake news spreaders), hate speech detection, irony detection, misogyny, sexism and toxic language identification in Twitter.

He has been advisor of 26 PhD theses on the above topics and currently he is the advisor of 8 PhD students.

http://personales.upv.es/prosso/