{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T18:44:39Z","timestamp":1774291479085,"version":"3.50.1"},"reference-count":41,"publisher":"Association for Computing Machinery (ACM)","issue":"1","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGIR Forum"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:p>The 5th Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2025) was held as part of the Satellite Events of the 47th European Conference on Information Retrieval (ECIR 2025). The Workshop provided a vibrant forum for researchers and practitioners to discuss innovative methods for improving access to accurate information and tackling the widespread issue of information disorder in the contemporary digital landscape. The challenge of online misinformation is inherently multifaceted. It spans a broad spectrum of information sources\u2014including Websites, social media posts, and automatically generated content\u2014and cuts across diverse platforms and domains. These include, but are not limited to, fake news detection, retrieval of trustworthy content\u2014particularly in the health domain\u2014and techniques for reducing the spread of propaganda. A particularly timely theme that gained prominence in this edition of ROMCIR was the growing influence of generative AI models, such as Large Language Models (LLMs). Discussions began to highlight both the risks posed by LLMs in unintentionally amplifying misinformation, and their potential to enhance Information Retrieval Systems (IRSs) when properly guided and constrained. Within this rich and evolving context, a variety of approaches to the challenge of accessing truthful and verifiable information were explored. The keynote speech and the research contributions presented at this year's Workshop primarily focused on several key themes: the use of crowdsourcing to mitigate misinformation; the interplay between misinformation and LLMs, in particular related to fact-checking and rumor verification; and the societal implications of misinformation, particularly its impact on children.<\/jats:p>\n          <jats:p>\n            <jats:bold>Date:<\/jats:bold>\n            10 April 2025.\n          <\/jats:p>\n          <jats:p>\n            <jats:bold>Website:<\/jats:bold>\n            https:\/\/romcir.disco.unimib.it\/.\n          <\/jats:p>","DOI":"10.1145\/3769733.3769741","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:04:53Z","timestamp":1760112293000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Report on the 5th Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2025) at ECIR 2025"],"prefix":"10.1145","volume":"59","author":[{"given":"Udo","family":"Kraschwitz","sequence":"first","affiliation":[{"name":"Chair of Information Science, University of Regensburg, Regensburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marinella","family":"Petrocchi","sequence":"additional","affiliation":[{"name":"IIT-CNR | IMT School for Advanced Studies, Pisa | Lucca, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Viviani","sequence":"additional","affiliation":[{"name":"University of Milano-Bicocca, DISCo, Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,10]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of ROMCIR 2025: The 5th Workshop on Reducing Online Misinformation through Credible Information Retrieval (held as part of ECIR 2025: the 47th European Conference on Information Retrieval)","author":"Alia Alaaeddin","year":"2025","unstructured":"Alaaeddin Alia and Muhammad Taimoor Khan. LLM-based bilingual rumor verification using evidence from authorities. In Proceedings of ROMCIR 2025: The 5th Workshop on Reducing Online Misinformation through Credible Information Retrieval (held as part of ECIR 2025: the 47th European Conference on Information Retrieval), April 10, 2025, Lucca, Italy, pages 1\u201310. CEUR-WS, 2025."},{"key":"e_1_2_1_2_1","first-page":"3451","volume-title":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Anand Avishek","year":"2023","unstructured":"Avishek Anand, Procheta Sen, Sourav Saha, Manisha Verma, and Mandar Mitra. Explainable information retrieval. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 3448\u20133451, 2023."},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of ROMCIR 2025: The 5th Workshop on Reducing Online Misinformation through Credible Information Retrieval (held as part of ECIR 2025: the 47th European Conference on Information Retrieval)","author":"Aspromonte Marco","year":"2025","unstructured":"Marco Aspromonte, Giuseppe Contissa, Federico Galli, and Andrea Loreggia. Beyond fact-checking: A scalable, domain-agnostic, and explainable system for automated fake news detection. In Proceedings of ROMCIR 2025: The 5th Workshop on Reducing Online Misinformation through Credible Information Retrieval (held as part of ECIR 2025: the 47th European Conference on Information Retrieval), April 10, 2025, Lucca, Italy, pages 70\u201378. CEUR-WS, 2025."},{"key":"e_1_2_1_4_1","first-page":"255","volume-title":"Aslib proceedings","author":"Bawden David","unstructured":"David Bawden, Clive Holtham, and Nigel Courtney. Perspectives on information overload. In Aslib proceedings, volume 51, pages 249\u2013255. MCB UP Ltd, 1999."},{"key":"e_1_2_1_5_1","volume-title":"Breaking the filter bubble: Democracy and design. Ethics and information technology, 17:249\u2013265","author":"Bozdag Engin","year":"2015","unstructured":"Engin Bozdag and Jeroen Van Den Hoven. Breaking the filter bubble: Democracy and design. Ethics and information technology, 17:249\u2013265, 2015."},{"key":"e_1_2_1_6_1","volume-title":"Responsible AI in healthcare. arXiv preprint arXiv:2203.03616","author":"Cabitza Federico","year":"2022","unstructured":"Federico Cabitza, Davide Ciucci, Gabriella Pasi, and Marco Viviani. 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