A decade of social bot detection

S Cresci - Communications of the ACM, 2020 - dl.acm.org
A decade of social bot detection Page 1 72 COMMUNICATIONS OF THE ACM | OCTOBER
2020 | VOL. 63 | NO. 10 review articles ON THE MORNING of November 9, 2016, the world …

Fake news propagation: A review of epidemic models, datasets, and insights

S Raponi, Z Khalifa, G Oligeri, R Di Pietro - ACM Transactions on the …, 2022 - dl.acm.org
Fake news propagation is a complex phenomenon influenced by a multitude of factors
whose identification and impact assessment is challenging. Although many models have …

Investigating the difference between trolls, social bots, and humans on Twitter

M Mazza, M Avvenuti, S Cresci, M Tesconi - Computer Communications, 2022 - Elsevier
It has become apparent that human accounts are not the sole actors in the social media
scenario. The expanding role of social media in the consumption and diffusion of information …

Crime and its fear in social media

R Prieto Curiel, S Cresci, CI Muntean… - Palgrave …, 2020 - nature.com
Social media posts incorporate real-time information that has, elsewhere, been exploited to
predict social trends. This paper considers whether such information can be useful in …

[图书][B] New dimensions of information warfare

R Di Pietro, S Raponi, M Caprolu, S Cresci, R Di Pietro… - 2021 - Springer
Since the dawn of Humanity, the progress machine tirelessly introduced tools and resources
that facilitated our everyday tasks. Over the years, new technologies have continually …

Bots in social and interaction networks: detection and impact estimation

M Mendoza, M Tesconi, S Cresci - ACM Transactions on Information …, 2020 - dl.acm.org
The rise of bots and their influence on social networks is a hot topic that has aroused the
interest of many researchers. Despite the efforts to detect social bots, it is still difficult to …

Temporal dynamics of coordinated online behavior: Stability, archetypes, and influence

S Tardelli, L Nizzoli, M Tesconi… - Proceedings of the …, 2024 - National Acad Sciences
Large-scale online campaigns, malicious or otherwise, require a significant degree of
coordination among participants, which sparked interest in the study of coordinated online …

Demystifying misconceptions in social bots research

S Cresci, R Di Pietro, A Spognardi, M Tesconi… - arXiv preprint arXiv …, 2023 - arxiv.org
The science of social bots seeks knowledge and solutions to one of the most debated forms
of online misinformation. Yet, social bots research is plagued by widespread biases, hyped …

Tweet-based bot detection using big data analytics

A Derhab, R Alawwad, K Dehwah, N Tariq… - IEEE …, 2021 - ieeexplore.ieee.org
Twitter is one of the most popular micro-blogging social media platforms that has millions of
users. Due to its popularity, Twitter has been targeted by different attacks such as spreading …

Mulbot: Unsupervised bot detection based on multivariate time series

L Mannocci, S Cresci, A Monreale… - … conference on big …, 2022 - ieeexplore.ieee.org
Online social networks are actively involved in removing malicious social bots due to their
role in spreading low-quality information. However, most of the existing bot detectors are …