Lisa Kaati, Stockholm University, Sweden
Lisa Kaati achieved a PhD in computer science from Uppsala University in 2008. Her principal research interests are in the area of terrorism and the Internet, and in particular how computer science, psychology, and statistics can be used to study different behaviors. Lisa is the founder of the European Online Hate Lab.
Amendra Shrestha, Mind Intelligence Lab, Sweden
Amendra Shrestha has a PhD in computer science from Uppsala University. He has an interest in applied machine learning and how to use technologies in real world applications.
Björn Pelzer, Swedish Defence Research Agencey (FOI), Sweden
Björn Pelzer has a PhD in computer science and is working at the Swedish Defence Research Agencey (FOI). Björns resarch interests are in the area of natural langauge processing, artificialintelligence and data science.
Nazar Akrami, Uppsala University , Sweden
Nazar Akrami is a professor in Psychology at Uppsala University. His research is focused on personality and how to measure the unmeasurable. He has been involved in several annotation projectes and likes to work closely with computer scienctists.
Delphine Battistelli, Paris Nanterre, France
Delphine Battistelli is a professor in computational linguistics at Paris Nanterre University since 2013. Her research interest focuses on semantic models for text understanding. She contributes to the analysis of online hate content with a focus on emotions, user's engagement and language registers.
Valentina Dragos, ONERA, France
Valentina Dragos is a research scientist working for ONERA, The French Aerospace Lab in Palaiseau, France. Valentina holds PhD from Paris Descartes University and HDR form University of Paris. Her research interest include semantics interoperability and uncertainty analysis for defense and security systems. Valentina is also a member of the advisory board of ENISA, the European Agency for Cybersecurity.
Farah Benamara, Toulouse University Paul Sabatier, France
Farah Benamara is an associate professor in computer science at Toulouse University Paul Sabatier since 2005. She is member of IRIT laboratory and co-head of the
MELODI group. Her research concerns Natural Language Processing and focuses on the development of semantic and pragmatic models for language understanding with a particular attention on evaluative language processing, discourse processing and information extraction from texts. She is PI of several projects among which DesCartes at CNRA@CREATE Singapore on hybrid IA for NLP, Sterheotypes an EU project on the detection of racial stereotypes, QualityOnto an ANR-DFG project on fact-checking for knowledge graph validation and finally INTACT, a CNRS prematuration project on NLP-based crisis management from social media.
Debora Nozza, Bocconi University, Italy
Debora Nozza is an Assistant Professor in Computing Sciences at Bocconi University. Her research interests mainly focus on Natural Language Processing, specifically on the detection and counter-acting of hate speech and algorithmic bias on Social Media data in multilingual context.
She was one of the organizers of the task on Automatic Misogyny Identification (AMI) at Evalita 2018 and Evalita 2020, and one of the organizers of the HatEval Task 5 at SemEval 2019 on multilingual detection of hate speech against immigrants and women in Twitter.
Zuzana Sokolová, Technical University of Košice, Slovakia
Zuzana Sokolová is a PhD student the Technical University of Košice in Slovakia. Her research interests include natural language processing, statistical language modeling, author profiling, authorship attribution and verification, and sentiment analysis. Her Ph.D. dissertation thesis is oriented to the detection of hate speech and offensive language on social media. As part of this, she deals with the following tasks: analysis available language models and verify their applicability in the automatic detection of hate speech and offensive language in the Slovak language; creating own dataset for detection of hate speech and offensive language for the Slovak language (benchmark dataset); measuring stereotypical bias; and text classification.
Ján Staš, Technical University of Košice, Slovakia
Ján Staš is an assistant professor at the Technical University of Košice, Slovakia. His research interests include natural language processing, statistical language modeling, question answering, text classification, speaker diarization, and spontaneous speech recognition. He also investigates questions related to the detection of hate speech and offensive language, voice stress analysis, and early detection of Alzheimer's disease from speech transcripts.
Tom de Smedt, Textgain, Netherlands
Gijs van Beek, Textgain, Netherlands
Tommaso Caselli, University of Groningen, Netherlands
Dr. Tommaso Caselli is Senior Assistant Professor in Computational Semantics at the Center for Language and Cognition (CLCG) of the Faculty of Arts at the University of Groningen. His main research interests are in discourse processing, event extraction and framing, and hate speech detection. He is one of the founders of the "Event and Stories in the News" workshop series and the co-editor of the volume "Computational Analysis of Storylines" (CUP, 2021). He took part in organizing several semantic evaluation campaigns for Natural Language Processing for English and Italian on hate speech and misinformation. His work is featured in major computational linguistics conferences (COLING, EMNLP, ACL, IJCNLP, LREC) and journals (LRE, IJCOL).
Carlos Arcila, University of Salamanca, Spain
Carlos Arcila-Calderón is a Professor in the Department of Sociology and Communication at the University of Salamanca and a member of the Audiovisual Content Observatory (OCA). He editor of the Electronic Yearbook of Studies in Social Communication "Dissertations". European Doctor in "Communication, Social Change and Development" from the Complutense University of Madrid and Master in Journalism from the Rey Juan Carlos University (URJC). He has been a professor at the Universidad del Rosario (Colombia), the Universidad del Norte (Colombia), the Universidad de Los Andes (ULA) (Venezuela); post-doctoral researcher at the URJC; and associate researcher at the Andrés Bello Catholic University (UCAB) (Venezuela). In addition, he has been visiting professor at the National University of Distance Education (UNED) (Spain), the University of Sabana (Colombia), the University of Santiago de Compostela (Spain), the Universidad Mayor (Chile) and the Universidade Estadual Paulista (Brazil).
Patricia Sánchez Holgado, University of Salamanca, Spain
Patricia Sánchez-Holgado is an Assistant Professor at the University of Salamanca and a researcher member of the Audiovisual Content Observatory (OCA), Excellence Research Group (Spain). She holds a European PhD in Communication from the University of Salamanca. Degree in Advertising from the Complutense University of Madrid, University Master's Degree in Compulsory Secondary Education Teacher Training, Baccalaureate, Vocational Training and Language Teaching, Master's Degree in Scientific Culture from the University of Oviedo (2019) and Master's Degree in Big Data from the University Pontifical of Salamanca. She has extensive professional experience outside of academia, working in companies in the communication and advertising sector.
Bjørn Ihler, The Khalifa Ihler Institute, Norway
Rania Wazir, Vienna Data Science Group, Austria
Leon Derczynski, University of Copenhage, Denmark
Matthias J Becker, Technical University in Berlin, Germany
Theodora Tsikrika, CERTH, Greece
Theodora Tsikrika received the Degree in Computer Science from University of Crete, Heraklion, the MSc degree in Advanced Methods in Computer Science from Queen Mary, University of London, and the PhD degree in Computer Science also from Queen Mary, University of London. She is a Senior Researcher at the Institute of Information Technologies (ITI) of the Centre of Research and Technology Hellas (CERTH ) since 2013 and in particular a member of the Multimodal Data Fusion and Analytics group ( M4D ) of the Multimedia Knowledge and Social Media Analytics Lab (MKLab); she has previously worked as a postdoctoral researcher at CWI (Amsterdam, the Netherlands), the University of Applied Sciences Western Switzerland (Sierre, Switzerland), and the Royal School of Library and Information Science (Copenhagen, Denmark). Her research interests focus on the intersection of the fields of Information Retrieval, Data Mining, and Artificial Intelligence (AI), and include AI-based multimodal analytics, Web search and domain-specific data discovery, Web and social media mining, and evaluation, with particular focus on security and cybersecurity applications. Since 2007, Theodora Tsikrika has participated in several European Security/Cybersecurity and ICT research projects and has co-authored more than 100 publications in refereed journals and international conferences.
Despoina Chatzakou, CERTH, Greece
Despoina Chatzakou is a postdoctoral research fellow with CERTH-ITI. She holds a diploma in Computer Science, an MSc in Informatics and Management, and PhD in Computer Science from the Aristotle University of Thessaloniki, Greece. Her research activity mainly lies on: (i) web data mining, with particular interest in data streams and social network analysis, (ii) natural language processing and text mining, (iii) modelling methods for graph and network data, and (iv) behaviour analysis (e.g., sentiment analysis, affective computing, detection of hate speech and discovery of abusive behaviours). Since 2012 she has worked on several R&D projects and has published original work on scientific journals and international conferences.
Nikos Stylianou, CERTH, Greece
Nikolaos Stylianou is a Postdoctoral Research Fellow with CERTH-ITI. He holds a BSc in Computer Science from University of Essex, an MSc in Big Data and Text Analytics from University of Essex and PhD in Computer Science from the Aristotle University of Thessaloniki. He has published original work on scientific journals and international conferences and has extensive experience working in R&D projects. His research interests include Natural Language Processing, Information Extraction, Language Modelling, Multimodal Learning and Self-Supervised Learning.