Vol-3677
urn:nbn:de:0074-3677-5

Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

ROMCIR 2024
Reducing Online Misinformation through Credible Information Retrieval 2024

Proceedings of the 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval
co-located with the 46th European Conference on Information Retrieval (ECIR 2024)

Glasgow, UK, March 24, 2024.

Edited by

Marinella Petrocchi *
Marco Viviani **

* Consiglio Nazionale delle Ricerche, Istituto di Informatica e Telematica, Via Giuseppe Moruzzi, 1 - 56124 Pisa, Italy
** Università degli Studi di Milano-Bicocca, Dipartimento di Informatica, Sistemistica e Comunicazione, Edificio U14 (ABACUS), Viale Sarca, 336 - 20126 Milan, Italy

Table of Contents

Overview of ROMCIR 2024: The 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval
Summary: There were 14 papers submitted for peer-review to this workshop. Out of these, 6 regular papers were accepted for this volume.
Marinella Petrocchi, Marco Viviani

Session 1: Health Misinformation

Health misinformation detection: search challenges, annotation issues and reliability of LLMs (Keynote) 1
David E. Losada
A user study on people’s perception to the credibility of online health information 2-16
Marcos Fernández-Pichel, Markus Bink, David E. Losada, David Elsweiler

Session 2: Multimodal Misinformation Detection and Fact-Checking

CMDD: A novel multimodal two-stream CNN deepfakes detector 17-30
Leonardo Mongelli, Luca Maiano, Irene Amerini
Improved identification of check-worthiness in social media data through multimodal analyses 31-40
Raphael Antonius Frick, Martin Steinebach
Adapter fusion for check-worthiness detection – combining a task adapter with a NER adapter 41-53
Inna Vogel, Pauline Möhle, Meghana Meghana, Martin Steinebach

Session 3: Information Filtering and Misinformation

Misinformation in video recommendations: an exploration of top-n tecommendation algorithms 54-67
Benedikt Hornig, Maria Soledad Pera, Jan Scholtes
Detection of disinformation and content filtering using machine learning: implications to human rights and freedom of speech 68-77
Lumbardha Hasimi, Aneta Poniszewska-Maranda

2024-04-25: submitted by Marco Viviani, metadata incl. bibliographic data published under Creative Commons CC0
2024-05-04: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|