Abstract
The ROMCIR 2022 workshop is focused on discussing and addressing issues related to information disorder, a new term that holistically encompasses all forms of communication pollution. In particular, the aim of ROMCIR is reducing such clutter, from false content to incorrect correlations, from misinformation to disinformation, through Information Retrieval solutions, by providing users with access to genuine information. This topic is very broad, as it concerns different contents (e.g., Web pages, news, reviews, medical information, online accounts, etc.), different Web and social media platforms (e.g., microblogging platforms, social networking services, social question-answering systems, etc.), and different purposes (e.g., identifying false information, accessing and retrieving information based on its genuineness, providing explainable solutions to users, etc.). Therefore, interdisciplinary input to ROMCIR is more than welcome.
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References
Bethencourt, A.M., Luo, J., Feliciani, T.: Bias and truth in science evaluation: a simulation model of grant review panel discussions. In: ROMCIR 2021 CEUR Workshop Proceedings, vol. 2838, pp. 16–24 (2021). http://ceur-ws.org/Vol-2838/paper2.pdf
Caldarelli, G., De Nicola, R., Petrocchi, M., Del Vigna, F., Saracco, F.: The role of bot squads in the political propaganda on Twitter. Commun. Phys. 3(81) (2020). https://doi.org/10.1038/s42005-020-0340-4
Caldarelli, G., De Nicola, R., Petrocchi, M., Pratelli, M., Saracco, F.: Flow of online misinformation during the peak of the COVID-19 pandemic in Italy. EPJ Data Sci. 10(1), 34 (2021). https://doi.org/10.1140/epjds/s13688-021-00289-4
Denaux, R., Gomez-Perez, J.M.: Sharing retrieved information using linked credibility reviews. In: ROMCIR 2021 CEUR Workshop Proceedings, vol. 2838, pp. 59–65 (2021). http://ceur-ws.org/Vol-2838/paper6.pdf
Di Sotto, S., Viviani, M.: Assessing health misinformation in online content. In: Proceedings of the 37th Annual ACM Symposium on Applied Computing (2022). to appear
Goeuriot, L., et al.: CLEF eHealth evaluation lab 2021. In: Hiemstra, D., Moens, M.-F., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds.) ECIR 2021. LNCS, vol. 12657, pp. 593–600. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-72240-1_69
Griffith, S.B.: Sun Tzu: The Art of War, vol. 39. Oxford University Press London, Oxford (1963)
Gupta, S., Nagar, S., Nanavati, A.A., Dey, K., Barbhuiya, F.A., Mukherjea, S.: Consumption of hate speech on Twitter: a topical approach to capture networks of hateful users. In: ROMCIR 2021 CEUR Workshop Proceedings, vol. 2838, pp. 25–34 (2021). http://ceur-ws.org/Vol-2838/paper3.pdf
Gupta, V., Beckh, K., Giesselbach, S., Wegener, D., Wi, T.: Supporting verification of news articles with automated search for semantically similar articles. In: ROMCIR 2021 CEUR Workshop Proceedings, vol. 2838, pp. 47–58 (2021). http://ceur-ws.org/Vol-2838/paper5.pdf
Hatua, A., Mukherjee, A., Verma, R.M.: On the feasibility of using GANs for claim verification- experiments and analysis. In: ROMCIR 2021 CEUR Workshop Proceedings, vol. 2838, pp. 35–46 (2021). http://ceur-ws.org/Vol-2838/paper4.pdf
Pasi, G., Viviani, M.: Information credibility in the social web: Contexts, approaches, and open issues. arXiv preprint arXiv:2001.09473 (2020)
Saracco, F., Viviani, M.: Overview of ROMCIR 2021: workshop on reducing online misinformation through credible information retrieval. In: ROMCIR 2021 CEUR Workshop Proceedings, vol. 2838, pp. i–vii (2021). http://ceur-ws.org/Vol-2838/xpreface.pdf
Upadhyay, R., Pasi, G., Viviani, M.: Health misinformation detection in web content: a structural-, content-based, and context-aware approach based on web2vec. In: Proceedings of the Conference on Information Technology for Social Good, pp. 19–24 (2021). https://doi.org/10.1145/3462203.3475898
Wardle, C., Derakhshan, H.: Information disorder: toward an interdisciplinary framework for research and policy making. Council of Europe, no. 27 (2017). https://tinyurl.com/edoc-informationdisorder
Wardle, C., Derakhshan, H., et al.: Thinking about ‘information disorder’: formats of misinformation, disinformation, and mal-information. Ireton, Cherilyn; Posetti, Julie. Journalism, ‘fake news’ & disinformation, pp. 43–54. Unesco, Paris (2018). https://en.unesco.org/sites/default/files/f._jfnd_handbook_module_2.pdf
Zhang, Y., Boumber, D., Hosseinia, M., Yang, Mukherjee, A.: Improving authorship verification using linguistic divergence. In: ROMCIR 2021 CEUR Workshop Proceedings, vol. 2838, pp. 1–15 (2021). http://ceur-ws.org/Vol-2838/paper1.pdf
Acknowledgements
The ROMCIR 2022 Workshop is supported by the National Research Council (CNR) – Institute of Informatics and Telematics (IIT), Pisa, Italy, by the University of Milano-Bicocca – Department of Informatics, Systems, and Communication (DISCo), Milan, Italy, and by the EU Horizon 2020 ITN/ETN on Domain Specific Systems for Information Extraction and Retrieval (H2020-EU.1.3.1., ID: 860721).
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Petrocchi, M., Viviani, M. (2022). ROMCIR 2022: Overview of the 2nd Workshop on Reducing Online Misinformation Through Credible Information Retrieval. In: Hagen, M., et al. Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, vol 13186. Springer, Cham. https://doi.org/10.1007/978-3-030-99739-7_71
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