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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.


Special session proposals are accepted until:

June 26, 2024


If you wish to propose a new Special Session please kindly fill out and submit this Expression of Interest form.

SPECIAL SESSIONS LIST

XAI-OBRAD 2024Special Session on Explainable AI for Understanding Online Behaviors and Mitigating Radicalization
Chair(s): Danilo Cavaliere, Giuseppe Fenza and Rajesh Sharma

Special Session on Explainable AI for Understanding Online Behaviors and Mitigating Radicalization - XAI-OBRAD 2024

Paper Submission: September 20, 2024
Authors Notification: October 4, 2024
Camera Ready and Registration: October 14, 2024


Co-chairs

Danilo Cavaliere
University of Salerno
Italy
e-mail
 
Giuseppe Fenza
University of Salerno
Italy
e-mail
 
Rajesh Sharma
University of Tartu
Estonia
e-mail
 
Scope

The rise of social media platforms has transformed information dissemination and online community formation but has also led to unwanted effects, such as echo chambers, user polarization, and radicalization pathways. In these environments, people are exposed to information that reinforces their existing beliefs, contributing to polarization and the spread of extremist ideologies.
To understand and contrast these phenomena, user behaviors should be analyzed considering various network and user features. In this regard, Explainable Artificial Intelligence (xAI) approaches can help
unfolding the mechanisms underlying such phenomena. This special session aims to explore the intersection of xAI and online behavior analysis, focusing on novel research challenges and solutions to combat disinformation, echo chambers, and related phenomena leading to polarization and radicalization. All the research teams involved in the SERICS research project (https://serics.eu/) are encouraged to submit their contribution to this special session.



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