Abstract
The Reducing Online Misinformation through Credible Information Retrieval (ROMCIR) 2021 Workshop, as part of the satellite events of the 43rd European Conference on Information Retrieval (ECIR), is concerned with providing users with access to genuine information, to mitigate the information disorder phenomenon characterizing the current online digital ecosystem. This problem is very broad, as it concerns different information objects (e.g., Web pages, online accounts, social media posts, etc.) on different platforms, and different domains and purposes (e.g., detecting fake news, retrieving credible health-related information, reducing propaganda and hate-speech, etc.). In this context, all those approaches that can serve, from different perspectives, to tackle the credible information access problem, find their place.
Supported by the IMT School for Advanced Studies Lucca, the University of Milano-Bicocca (DISCo – IKR3 Lab), and the scheme ‘INFRAIA-01-2018-2019: Research and Innovation action’, Grant Agreement n. 871042 ‘SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics’.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Carminati, B., Ferrari, E., Viviani, M.: Security and trust in online social networks. Synth. Lect. Inf. Secur. Priv. Trust 4(3), 1–120 (2013)
Eysenbach, G.: Credibility of health information and digital media: new perspectives and implications for youth. In: Metzger, M.M., Flanagin, A.J. (eds.) Digital Media, Youth, and Credibility, pp. 123–154. The MIT Press (2008)
Lazer, D.M., et al.: The science of fake news. Science 359(6380), 1094–1096 (2018)
Metzger, M.J., Flanagin, A.J.: Credibility and trust of information in online environments: the use of cognitive heuristics. J. Pragmatics 59, 210–220 (2013)
Pasi, G., Viviani, M.: Information credibility in the social web: contexts, approaches, and open issues. arXiv preprint arXiv:2001.09473 (2020)
Tagliabue, F., Galassi, L., Mariani, P.: The “pandemic" of disinformation in COVID-19. SN Compr. Clin. Med. 2(9), 1287–1289 (2020)
Viviani, M., Pasi, G.: Credibility in social media: opinions, news, and health information—a survey. WIREs Data Mining Knowl. Disc. 7(5), e1209 (2017)
Wardle, C., Derakhshan, H.: Information disorder: toward an interdisciplinary framework for research and policy making. Council Europe Rep. 27, 1–107 (2017)
Wu, Y., Ngai, E.W., Wu, P., Wu, C.: Fake online reviews: literature review, synthesis, and directions for future research. Decision Support Syst. 132, 113280 (2020)
Acknowledgements
We would like to thank the authors of the submitted articles for their interest in the considered problem, the members of the Program Committee for their valuable contribution to the success of the ROMCIR 2021 Workshop, and the Keynote Speakers for the interest aroused in new research directions. F.S. acknowledge also support from the European Project SoBigData++ (GA. 871042).
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Saracco, F., Viviani, M. (2021). ROMCIR 2021: Reducing Online Misinformation through Credible Information Retrieval. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_87
Download citation
DOI: https://doi.org/10.1007/978-3-030-72240-1_87
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-72239-5
Online ISBN: 978-3-030-72240-1
eBook Packages: Computer ScienceComputer Science (R0)