ROMCIR 2023: Overview of the 3rd Workshop on Reducing Online Misinformation Through Credible Information Retrieval

Author:

Petrocchi MarinellaORCID,Viviani MarcoORCID

Publisher

Springer Nature Switzerland

Reference30 articles.

1. Aghada, K.A.: An alternative approach to ranking videos and measuring dissimilarity between video content and titles. In: Petrocchi, M., Viviani, M. (eds.) ROMCIR 2022 CEUR Workshop Proceedings, vol. 3138, pp. 89–99. CEUR-WS.org (2022)

2. 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)

3. 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)

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)

5. Crawford, M., Khoshgoftaar, T.M., Prusa, J.D., Richter, A.N., Al Najada, H.: Survey of review spam detection using machine learning techniques. J. Big Data 2(1), 1–24 (2015). https://doi.org/10.1186/s40537-015-0029-9

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