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BeyondFacts 2025: 5th International Workshop on Computational Methods for Online Discourse Analysis

Year: 2025

Type: conference-paper

Abstract: This workshop explores the intersection of computational and interdisciplinary approaches to analyzing online discourse, including claims, arguments, and opinions on controversial topics. With the rise of mis- and disinformation, bias, and echo chambers, NLP-based methods such as argument mining, stance detection, and fact verification have become essential. However, these tasks require robust conceptual foundations across fields like communication studies, computational linguistics, and computer science. BeyondFacts fosters collaboration among diverse research communities-including social sciences, political science, computational journalism, and computer science-to enhance machine-interpretation and analysis of societal debates using techniques from Web mining, AI, and NLP.

DOI: 10.1145/3701716.3717540

Authors: Konstantin Todorov, Pavlos Fafalios, Stefan Dietze, Dimitar Dimitrov

Institutions: Centre National de la Recherche Scientifique, Université de Montpellier, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Technical University of Crete, Heinrich Heine University Düsseldorf, GESIS - Leibniz Institute for the Social Sciences

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4410636912

FWCI:

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