Shared Tasks

Important Dates

  • May 10, 2023: Early bird software submission phase (optional)
  • June 10, 2023: Software submission deadline (extended, was May 29)
  • June 05, 2023: Participant paper submission Midnight CEST [guidelines] [submission] [template (use this one, not the one from CLEF]
  • June 23, 2023: Peer review notification
  • July 07, 2023: Camera-ready participant papers submission Midnight CEST
  • tba: Early bird conference registration
  • September 18-21, 2023: Conference

The timezone of all deadlines is Anywhere on Earth.


Yiannis Kompatsiaris
Behavioural and Policy Aspects of Online Disinformation
Director of CERTH-ITI and Head of Multimedia Knowledge and Social Media Analytics Lab Technical

Dr. Ioannis (Yiannis) Kompatsiaris is the Director of CERTH-ITI and the Head of Multimedia Knowledge and Social Media Analytics Laboratory. His research interests include ΑΙ/ML for Multimedia, Semantics (multimedia ontologies and reasoning), Social Media and Big Data Analytics, Multimodal and Sensors Data Analysis, Human Computer Interfaces, e- Health, Cultural, Media/Journalism and Security applications. He is the co-author of 178 papers in refereed journals, 63 book chapters, 8 patents and 560 papers in international conferences. Since 2001, Dr. Kompatsiaris has participated in 88 National and European research programs, in 31 of which he has been the Project Coordinator. He has also been the PI in 15 contracts from the industry. He has been the co-chair of various international conferences and workshops including the 13th IEEE Image, Video, and Multidimensional Signal Processing (IVMSP 2018) Workshop and has served as a regular reviewer, associate and guest editor for a number of journals and conferences currently being an associate editor of IEEE Transactions on Image Processing. He is a member of the National Ethics and Technoethics Committee, the Scientific Advisory Board of the CHIST-ERA funding programme and an elected member of the IEEE Image, Video and Multidimensional Signal Processing – Technical Committee (IVMSP – TC). He is a Senior Member of IEEE and ACM. Since January 2014, he is a co-founder of the Infalia private company, a high-tech SME focusing on data intensive web services and applications.

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Alejandro Martin
Detecting and Disrupting Disinformation: Social Network Analysis and Natural Language Processing
Associate professor at Universidad Politécnica de Madrid

Detecting and Disrupting Disinformation: Social Network Analysis and Natural Language Processing In recent years, social network analysis has become an increasingly important tool in understanding and combating the spread of disinformation. By examining the patterns of information flow, we can identify the sources and pathways through which false information spreads and take steps to prevent its dissemination. However, the problem of disinformation is not limited to the propagation of already-existing false information; AI is now being used to generate convincing fake news, amplifying the spread of disinformation and making it increasingly difficult to distinguish fact from fiction. Despite the challenges posed by AI-generated false content, AI can also play an important role in the fight against disinformation. Through the use of natural language processing techniques, we can reveal key characteristics of false information, enabling us to more effectively identify and combat disinformation campaigns. Additionally, machine learning algorithms can be used to identify patterns of disinformation and to distinguish between false and genuine content. In this talk, we will explore the current state of the art in social network analysis and AI with respect to disinformation. We will present examples of different models and architectures that have been developed to combat disinformation, including case studies of real-world disinformation campaigns. By combining the strengths of social network analysis and AI (i.e., large language models), we can develop more effective tools for combating the spread of disinformation, protecting the integrity of public discourse, and upholding the principles of truth and accuracy in our information ecosystem.

Dr. Alejandro Martín is Associate Professor at Universidad Politécnica de Madrid. His main research interests are Deep Learning, Cybersecurity, and Natural Language Processing. He has been visiting researcher at the University of Kent. Besides, he has participated in an important number of international conferences as a reviewer and organizer, as an Associate Editor and Guest Editor in international journals, and in a large number of research projects. He is currently leading different research focused on the fight against misinformation through Natural Language Processing techniques and Social Network Analysis.

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The program will be announced at a later date.

Participation Modalities


You can download PAN's datasets here. For details, please check the individual task's website.


We use TIRA for all submissions to PAN. Please go to, create an account, and register for the individual tasks you want to participate in. You can find all submission guides in TIRA's forum.

Evaluation and Baseline Code

All code used at PAN is published at GitHub. You can find all validators, evaluators, and baselines there.

Software Submissions

PAN promotes reproducible science with software submissions. Please prepare and submit your software as Docker image(s). You can find guides and examples in the resources linked above. Some tasks allow only software submissions and only release the test data after the conference.

Paper Submission and Presentation

PAN is co-located with CLEF 2023 in Thessaloniki. Every participant is expected to write a notebook paper describing their approach to CLEF (published at CEUR-WS, which is indexed by DBLP). At the CLEF conference, all submissions will be presented as talks or posters. CLEF will be a hybrid conference.

Organizing Committee