With the advent of the Social Web, we are constantly and more than ever assaulted by different kinds of information pollution, which may lead to severe issues for both individuals and society as a whole. In this context, it becomes essential to guarantee users access to genuine information that does not distort their perception of reality. For this reason, in recent years, numerous approaches have been proposed for the identification of misinformation, in different contexts and for different purposes. However, the problem has not yet been sufficiently addressed in the field of Information Retrieval, because it has been treated primarily as a classification task to identify information versus misinformation. Hence, the purpose of this Workshop is to address the IR community for solutions in which, among other issues, the genuineness of information is considered as one of the dimensions of relevance within search engines or recommender systems, early detection of misinformation can be achieved, the results obtained are explainable with respect to the users of Information Retrieval Systems, user’s privacy is taken into consideration.
Petrocchi, M., Viviani, M. (2023). ROMCIR 2023: Overview of the 3rd Workshop on Reducing Online Misinformation Through Credible Information Retrieval. In Advances in Information Retrieval 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III (pp.405-411). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-28241-6_45].
ROMCIR 2023: Overview of the 3rd Workshop on Reducing Online Misinformation Through Credible Information Retrieval
Viviani, Marco
2023
Abstract
With the advent of the Social Web, we are constantly and more than ever assaulted by different kinds of information pollution, which may lead to severe issues for both individuals and society as a whole. In this context, it becomes essential to guarantee users access to genuine information that does not distort their perception of reality. For this reason, in recent years, numerous approaches have been proposed for the identification of misinformation, in different contexts and for different purposes. However, the problem has not yet been sufficiently addressed in the field of Information Retrieval, because it has been treated primarily as a classification task to identify information versus misinformation. Hence, the purpose of this Workshop is to address the IR community for solutions in which, among other issues, the genuineness of information is considered as one of the dimensions of relevance within search engines or recommender systems, early detection of misinformation can be achieved, the results obtained are explainable with respect to the users of Information Retrieval Systems, user’s privacy is taken into consideration.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.