Report on the 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2024) at ECIR 2024

Author:

Petrocchi Marinella1,Viviani Marco2

Affiliation:

1. IIT-CNR, IMT School for Advanced Studies, Italy

2. University of Milano-Bicocca, DISCo, Italy

Abstract

The 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2024) was part of the Satellite Events of the 46th European Conference on Information Retrieval (ECIR 2024). ROMCIR served as a platform for discussions on accessing accurate information and addressing the issue of information disorder prevalent in the online landscape at that time. In general, the challenge is multifaceted, encompassing various types of information sources (e.g., websites, social media posts, ...) across different platforms and domains (e.g., fake news detection, health-related information retrieval, propaganda reduction). Additionally, in this edition, the critical need to assess the impact of generative models like Large Language Models (LLMs) on inadvertently amplifying misinformation and explore their potential role in supporting Information Retrieval Systems (IRSs) began to emerge. In this context, diverse approaches to the problem of access to truthful information found their place. Keynote speech and articles in this year's workshop mainly focused on themes such as health misinformation, multimedia and multimodal fact-checking, and information filtering to combat misinformation. Date : 24 March 2024. Website : https://romcir.disco.unimib.it/.

Publisher

Association for Computing Machinery (ACM)

Reference35 articles.

1. Explainable Information Retrieval

2. Perspectives on information overload

3. Engin Bozdag and Jeroen Van Den Hoven. Breaking the filter bubble: democracy and design. Ethics and information technology, 17:249--265, 2015.

4. Federico Cabitza, Davide Ciucci, Gabriella Pasi, and Marco Viviani. Responsible ai in healthcare. arXiv preprint arXiv:2203.03616, 2022.

5. Spread of misinformation on social media: What contributes to it and how to combat it

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3