Summary

Although the distribution of propaganda and hoaxes is not a new phenomenon, the explosion of the web and social networks has led to an unprecedented increase in the volume, speed of propagation and variety of fake contents. In fact, in recent years, numerous disinformation campaigns organized to destabilize society and affect citizens' right to receive truthful information have been detected. The COVID-19 epidemic has further amplified this problem, giving rise to the term infodemic to refer to the increase in information (in many cases not truthful) about an event (such as the pandemic) in a short time. To address these threats, the European Commission has set the European Digital Media Observatory (EDMO), which coordinates a network of hubs distributed across Europe ---including IBERIFIER, the Iberian media research and fact-checking initiative.

In this scenario, Artificial Intelligence (AI) techniques can play a significant two-fold role in disinformation phenomena. For creators of disinformation, AI can be used to expand their reach and impact, facilitating the automatic synthesis of contents and creating manipulations of images and videos that are difficult to detect. But, on the other side, fact-checkers can use AI to characterize, detect, and predict the evolution of multiple types of disinformative contents (including fake, misleading, and out of context news, for instance.)  

The seminar on Artificial Intelligence and Disinformation (AIDisinfo 2022) is a scientific forum at the intersection of Artificial Intelligence, social science, and digital journalism. It will bring together researchers from various disciplines in the field of machine learning (social network analysis, natural language processing, automatic classification), big data processing (information retrieval, recommendation systems) and media analysis (verification of news, characterization of disinformation, ethical and legal aspects.) The objective is to present the latest advances in these areas and seek synergies between different work lines.

Submission Guidelines

Extended Abstract (maximum of 2 pages) of existing contributions to this area, ongoing research projects and/or preliminary ideas that are still in their first steps (i.e., at very early stages). Such papers can provide research methodologies and some results in advance. They can also provide the necessary theoretical frameworks for the study of proposed topics.

Topics

• Deep learning methods for disinformation.
• Social network analysis and disinformation.
• Graph algorithms for disinformation identification.
• Natural language processing and disinformation.
• AI-supported fact checking and detection of disinformation campaigns.
• Generation and identification of fabricated and manipulated content (deep fakes).
• Community detection and characterization in social networks (negationists, conspiracy theories, etc.).
• Disinformation circulation in social networks.
• Profiling fake content spreaders.
• Bots characterization and detection.
• Multimodal fake content detection.
• Recommendation systems and disinformation.
• Meta heuristics algorithms for disinformation.
• Data knowledge extraction (scrapping) for disinformation.
• AI uses, practices and tools in fact-checking journalism.
• Ethics and Law in disinformation.

Committees

Organizing committee

• Miguel Molina, Universidad de Granada, e-mail: miguelmolina@ugr.es
• Javier Cantón, Universidad de Granada, e-mail: javicanton@ugr.es
• Andrés Montoro, Universidad de Granada, e-mail: andres.montoro@ugr.es
• Juan Gómez-Romero, Universidad de Granada, e-mail: jgomez@decsai.ugr.es

Program Committee

• David Camacho,  Universidad Politécnica de Madrid.
• María Alberta Chulvi, Universitat Politècnica de València.
• Alejandro Martín, Universidad Politécnica de Madrid.
• María José Rementería, Barcelona Supercomputing Center.
• Paolo Rosso, Universitat Politècnica de València.
• Javier Valls, Universidad de Granada.

Invited Speakers

• Representative of the European External Action Service (European Union).
• Representative of the Departamento de Seguridad Nacional (Government of Spain).
• Arkaitz Zubiaga, Queen Mary University of London.

Presentation

Extended abstracts will be orally presented as a presentation or poster during the conference.

Dates

• Submission deadline: September 21, 2022
• Notification of acceptation: September 30, 2022
• Event: October 19-20th, 2022

Style Format

Two-column IEEE style format: https://www.ieee.org/conferences/publishing/templates.html

Fees

Access to the event is provided free of charge.