Vol-4070
urn:nbn:de:0074-4070-x

Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 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).

DISMISS-FAKE+IWILDS 2025
Disinformation and Misinformation in the Age of Generative AI & Investigating Learning during Web Search 2025

Proceedings of the Joint 1st International Workshop on Disinformation and Misinformation in the Age of Generative AI (DISMISS-FAKE 2025) and the 4th International Workshop on Investigating Learning during Web Search (IWILDS 2025)
co-located with 18th International ACM WSDM Conference on Web Search and Data Mining (WSDM 2025)

Hannover, Germany, March 14, 2025.

Edited by

Koustav Rudra¹
Niloy Ganguly ¹
Jeanne Mifsud Bonnici ²
Eric Müller-Budack ³
Ritumbra Manuvie ²
Anett Hoppe ⁴
Ran Yu ⁵
Jiqun Liu ⁶
Nilavra Bhattacharya ⁷

¹ Indian Institute of Technology Kharagpur, Kharagpur, India
² University of Groningen, Groningen, The Netherlands
³ TIB – Leibniz Information Centre for Science and Technology, Hannover, Germany
⁴ Philipps University Marburg & Hessian Center for AI (hessian.AI), Marburg, Germany
⁵ GESIS – Leibniz Institute for the Social Sciences, Cologne, Germany
⁶ University of Oklahoma, Norman, OK, United States
⁷ ABB Corporate Research Centre, Mannheim, Germany

Table of Contents

Preface
Summary: There were 8 papers submitted for peer review to this joint workshop. Out of these, 6 papers were accepted for this volume, 3 as regular papers and 3 as short papers.

Workshop on Disinformation and Misinformation in the Age of Generative AI

Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking 1-19
Iknoor Singh, Carolina Scarton, Xingyi Song, Kalina Bontcheva
Can LLMs identify the Disinformation they create? Exploring the Role of Large Language Models in Disinformation Detection 21-30
Pavan Sanjay Nichani, Ayaan Ahmad Siddiqui, Sakshi Tiwarii, Ark Ikhu, Marina Ernst
Instruction-tuned Quantized Small Language Models (SLMs): A Study on Hallucination Detection 31-37
Elijah Soba, Harika Abburi, Nirmala Pudota, Jain Aayush, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
Leveraging LLMs for Identifying types of Misinformation on Reddit 39-46
Bhavana Ramesh, Durwankur Gursale, Abram Jopaul, Marina Ernst
Leveraging Large Language Models for News Values Analysis (Extended Abstract) 47-50
Gullal S. Cheema, Massiollah Azimi

Investigating Learning during Web Search

Video Features for Predicting Knowledge Gain in Search as Learning 51-63
Wolfgang Bitter, Ralph Ewerth, Anett Hoppe

2025-09-24: submitted by Eric Müller-Budack, metadata incl. bibliographic data published under Creative Commons CC0
2025-10-22: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|