Anastasia Giachanou is a Research Fellow at the Pattern Recognition and Human Language Technologies (PRHLT) Research Center at the Universitat Politècnica de València working under the SNF early post-doc grant on the project “Early Detection of Fake News on Social Media". She received her PhD from the Faculty of Informatics at the University of Lugano, in Switzerland working on the topic of “Tracking Opinion Evolution on Social Media”. She serves on the editorial board of Information Processing \& Management Journal and as a PC member for well-established conferences such as SIGIR, ECIR, CIKM, and ECAI. She was a keynote speaker at the Sixth IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS-2019) on the topic of “Misinformation Detection in Online Social Networks using Content Information".
Paolo Rosso is full professor at the Universitat Politècnica de València, Spain. His research interests focus mainly on author profiling, irony detection, fake reviews detection, hate speech and fake news detection. Since 2009 he was involved in the organisation of PAN benchmark activities at CLEF and at FIRE evaluation forums, mainly on plagiarism/text reuse detection and author profiling (in 2020 the task is on Profiling fake news spreaders on Twitter). At SemEval he was co-organiser of tasks on sentiment analysis of figurative language in Twitter (2015), and on multilingual detection of hate speech against immigrants and women in Twitter (2019). He is co-ordinator of the activities of the IberEval evaluation forum. He serves as deputy steering committee chair for the CLEF conference and as associate editor for the Information Processing & Management journal. He was chair of *SEM-2015, and organisation chair of CERI-2012, CLEF-2013 and EACL-2017. He is the author of 400+ papers. He gave several tutorials on plagiarism detection at ICON (2010), on author profiling and plagiarism detection at RuSSIR (2014), and on author profiling in social media at RANLP (2015), FIRE (2016) and CLiC-it (2018) addressing mainly age, gender, personality, and native language and variety identification.