ROMCIR 2022: Overview of the 2nd Workshop on Reducing Online Misinformation Through Credible Information Retrieval

Author:

Petrocchi MarinellaORCID,Viviani MarcoORCID

Publisher

Springer International Publishing

Reference16 articles.

1. 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

2. 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

3. 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

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

5. 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

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