Flow of online misinformation during the peak of the COVID-19 pandemic in Italy G Caldarelli, R De Nicola, M Petrocchi, M Pratelli, F Saracco EPJ data science 10 (1), 34, 2021 | 66* | 2021 |
On the efficacy of old features for the detection of new bots R De Nicola, M Petrocchi, M Pratelli Information Processing & Management 58 (6), 102685, 2021 | 22 | 2021 |
Bow-tie structures of twitter discursive communities M Mattei, M Pratelli, G Caldarelli, M Petrocchi, F Saracco Scientific Reports 12 (1), 12944, 2022 | 16 | 2022 |
Emotions and interests of evolving Twitter bots M Fazzolari, M Pratelli, F Martinelli, M Petrocchi 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2020 | 6 | 2020 |
A Structured Analysis of Journalistic Evaluations for News Source Reliability M Pratelli, M Petrocchi arXiv preprint arXiv:2205.02736, 2022 | 3 | 2022 |
Entropy-based detection of Twitter echo chambers M Pratelli, F Saracco, M Petrocchi PNAS nexus 3 (5), pgae177, 2024 | 1 | 2024 |
Evaluating Trustworthiness of Online News Publishers via Article Classification J Bianchi, M Pratelli, M Petrocchi, F Pinelli Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 671-678, 2024 | 1 | 2024 |
Swinging in the States: Does disinformation on Twitter mirror the US presidential election system? M Pratelli, M Petrocchi, F Saracco, R De Nicola Companion Proceedings of the ACM Web Conference 2023, 1395-1403, 2023 | 1 | 2023 |
Online disinformation in the 2020 US election: swing vs. safe states M Pratelli, M Petrocchi, F Saracco, R De Nicola EPJ Data Science 13 (1), 25, 2024 | | 2024 |
Unveiling News Publishers Trustworthiness Through Social Interactions M Pratelli, F Saracco, M Petrocchi Proceedings of the 16th ACM Web Science Conference, 139-148, 2024 | | 2024 |