Shared Tasks

Important Dates

  • March 31, 2020 now until May 07, 2020: Early bird software submission phase (optional)
  • April 28, 2020 May 22, 2020 until June 5, 2020: Software submission phase
  • May 24, 2020 July 17, 2020: Participant paper submission [template] [guidelines] [submission]
  • June 14, 2020 August 14, 2020: Peer review notification
  • June 28, 2020 August 28, 2020: Camera-ready participant papers submission
  • Caution: There is no time for amendments. Late submission or missing data/documents will cause removal from proceedings.
  • TBD: Early bird conference registration
  • September 22-25, 2020: Online Conference

The timezone of all deadlines is Anywhere on Earth.


Anastasia Giachanou
PRHLT Research Center, Universitat Politècnica de València (UPV), Spain

Misinformation is one of the most critical challenges of recent years. Despite all the attempts, the automatic detection of misinformation still remains an open problem. Although misinformation and fake news exist for a long period of time, the ubiquitousness of social media has facilitated their propagation with severe consequences for the society. This talk will focus on the topic of misinformation detection. First, I will introduce the concept and characteristics of the different types of misinformation and disinformation such as fake news, satire, rumours that go viral in online social networks. Then, I will present some of the most recent detection approaches with a particular focus on approaches that exploit psycho-linguistic information (i.e., emotion, sentiment, informal language). Also, I will present approaches that exploit information extracted from user profiles and user interactions. Finally, I will discuss challenges and open issues in the field of misinformation detection.

Anastasia Giachanou is a Research Fellow at the Pattern Recognition and Human Language Technologies (PRHLT) Research Center at the Universitat Politècnica de València (UPV) and a member of the Natural Language Engineering Lab headed by Prof. Paolo Rosso. 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”. Her research interests include fake news detection, credibility in news, bot detection, sentiment and emotion analysis, temporal opinion mining and information retrieval. 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 is a recipient of an Swiss National Foundation (SNF) early post-doc grant on the project "Early Detection of Fake News on Social Media".

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PAN's program is part of the CLEF conference program.

September 24
11:00-12:30 Keynote Session, Chair: Paolo Rosso [zoom]
Misinformation Detection in Online Social Networks
Anastasia Giachanou
Presentation and Award Ceremony
15:00-16:30 Plenary Session: Lab Overview [zoom]
Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection
Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, and Eva Zangerle
17:00-18:30 Lab Session: Profiling Fake News Spreaders on Twitter, Chair: Francisco Rangel [zoom]
Overview of the Profiling Fake News Spreaders on Twitter Task at PAN 2020
Francisco Rangel, Bilal Ghanem, Anastasia Giachanou, Paolo Rosso
An Ensemble Model Using N-grams and Statistical Features to Identify Fake News Spreaders on Twitter
Jakab Buda and Flora Bolonyai
Detecting Fake News Spreaders in Social Networks via Linguistic and Personality Features
Anu Shrestha, Francesca Spezzano and Abishai Joy
Proling Fake News Spreaders: Stylometry, Personality, Emotions and Embeddings.
Elisabetta Fersini, Justin Armanini and Michael D'Intorni
Analyzing User Profiles for Detection of Fake News Spreaders on Twitter
María S. Espinosa, Roberto Centeno and Álvaro Rodrigo
September 25
09:00-10:30 Lab Session: Authorship Verification, Chair: Mike Kestemont [zoom]
Overview of the Authorship Verification Task at PAN 2020
Mike Kestemont, Enrique Manjavacas, Ilia Markov, Janek Bevendorff, Matti Wiegmann, Efstathios Stamatatos, Martin Potthast, and Benno Stein
Deep Bayes Factor Scoring for Authorship Verification
Benedikt Boenninghoff, Julian Rupp, Robert M. Nickel, and Dorothea Kolossa
Feature Vector Difference based Neural Network and Logistic Regression Models for Authorship Verification
Janith Weerasinghe and Rachel Greenstadt
Siamese Network applied to Authorship Verification
Emir Araujo-Pino, Helena Gómez-Adorno, and Gibran Fuentes-Pineda
15:00-16:30 Lab Session: Celebrity Profiling and Style Change Detection , Chairs: Matti Wiegmann and Eva Zangerle [zoom]
Overview of the Celebrity Profiling Task at PAN 2020
Matti Wiegmann, Benno Stein, and Martin Potthast
Celebrity Profiling using Twitter Follower Feeds
Abigail Hodge and Samantha Price
Know your Neighbors: Efficient Author Profiling via Follower Tweets
Boshko Koloski, Senja Pollak and Blaž Škrlj
Overview of the Style Change Detection Task at PAN 2020
Eva Zangerle, Maximilian Mayerl, Günther Specht, Benno Stein, and Martin Potthast
Style Change Detection Using BERT
Aarish Iyer and Soroush Vosoughi
17:00-18:30 Lab Session: Profiling Fake News Spreaders on Twitter, Chair: Francisco Rangel [zoom]
RMIT at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter
Xinhuan Duan, Elham Naghizade, Damiano Spina and Xiuzhen Zhang
Detecting Fake News Spreaders on Twitter Using Universal Sentence Encoder
Soumayan Bandhu Majumder and Dipankar Das
Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization
Boshko Koloski, Senja Pollak and Blaž Škrlj
Fake News Spreaders Profiling Through Behavioural Analysis
Matteo Cardaioli, Stefano Cecconello, Mauro Conti, Luca Pajola and Federico Turrin
Using N-grams to detect Fake News Spreaders on Twitter
Juan Pizarro

Organizing Committee