Paolo Rosso (http://personales.upv.es/prosso/) is a Full Professor of Computer Science at the Universitat Politècnica de València, Spain. His current research focuses mainly on detecting harmful information on social media: disinformation and hate speech, including when conveyed implicitly through stereotypes, irony, sarcasm, or humor. He is the principal investigator of the following projects funded by the Spanish Ministry of Science, Innovation and Universities, as well as by the European Union NextGenerationEU/PRTR: XAI-DisInfodemics on explainable AI for disinformation and conspiracy detection during infodemics; FAKEnHATE-PdC on FAKE news and HATE speech; and FairTransNLP on fairness and transparency for equitable NLP applications on social media. He is also a member of the CHIST-ERA MARTINI project on profiling and detecting malicious actors in online social networks through artificial intelligence. He has collaborated with the Spanish National Security Department and the Science and Technology Office (Oficina-C) of the Spanish Congress of Deputies on topics related to disinformation campaigns and AI. He is one of the organizers of the PAN shared task on oppositional thinking analysis: conspiracy theories vs. critical thinking narratives (https://pan.webis.de/clef24/pan24-web/oppositional-thinking-analysis.html).