The Fourth Edition of the 2024 Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2024) is part of the Satellite Events of the 46th European Conference on Information Retrieval (ECIR 2024). ROMCIR serves as a platform for discussions on accessing accurate information and addressing the issue of information disorder prevalent in today’s online landscape. 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, there is a 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). In this context, diverse approaches to the problem of access to truthful information are welcomed. Keynote speech and articles in this year’s workshop focus on themes such as health misinformation, multimedia and multimodal fact-checking, and information filtering to combat misinformation.
Petrocchi, M., Viviani, M. (2024). Overview of ROMCIR 2024: The 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval. In 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). CEUR-WS.
Overview of ROMCIR 2024: The 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval
Viviani M.
2024
Abstract
The Fourth Edition of the 2024 Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2024) is part of the Satellite Events of the 46th European Conference on Information Retrieval (ECIR 2024). ROMCIR serves as a platform for discussions on accessing accurate information and addressing the issue of information disorder prevalent in today’s online landscape. 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, there is a 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). In this context, diverse approaches to the problem of access to truthful information are welcomed. Keynote speech and articles in this year’s workshop focus on themes such as health misinformation, multimedia and multimodal fact-checking, and information filtering to combat misinformation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.