Machine learning-based social media bot detection: a comprehensive literature review

M Aljabri, R Zagrouba, A Shaahid, F Alnasser… - Social Network Analysis …, 2023 - Springer
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …

Studying fake news spreading, polarisation dynamics, and manipulation by bots: A tale of networks and language

G Ruffo, A Semeraro, A Giachanou, P Rosso - Computer science review, 2023 - Elsevier
With the explosive growth of online social media, the ancient problem of information
disorders interfering with news diffusion has surfaced with a renewed intensity threatening …

[HTML][HTML] Bots and misinformation spread on social media: Implications for COVID-19

MK Himelein-Wachowiak, S Giorgi, A Devoto… - Journal of medical …, 2021 - jmir.org
As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of
COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …

Twibot-22: Towards graph-based twitter bot detection

S Feng, Z Tan, H Wan, N Wang… - Advances in …, 2022 - proceedings.neurips.cc
Twitter bot detection has become an increasingly important task to combat misinformation,
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …

Botometer 101: Social bot practicum for computational social scientists

KC Yang, E Ferrara, F Menczer - Journal of computational social science, 2022 - Springer
Social bots have become an important component of online social media. Deceptive bots, in
particular, can manipulate online discussions of important issues ranging from elections to …

Detection of novel social bots by ensembles of specialized classifiers

M Sayyadiharikandeh, O Varol, KC Yang… - Proceedings of the 29th …, 2020 - dl.acm.org
Malicious actors create inauthentic social media accounts controlled in part by algorithms,
known as social bots, to disseminate misinformation and agitate online discussion. While …

Anatomy of an AI-powered malicious social botnet

KC Yang, F Menczer - arXiv preprint arXiv:2307.16336, 2023 - arxiv.org
Large language models (LLMs) exhibit impressive capabilities in generating realistic text
across diverse subjects. Concerns have been raised that they could be utilized to produce …

Scalable and generalizable social bot detection through data selection

KC Yang, O Varol, PM Hui, F Menczer - Proceedings of the AAAI …, 2020 - ojs.aaai.org
Efficient and reliable social bot classification is crucial for detecting information manipulation
on social media. Despite rapid development, state-of-the-art bot detection models still face …

Twibot-20: A comprehensive twitter bot detection benchmark

S Feng, H Wan, N Wang, J Li, M Luo - Proceedings of the 30th ACM …, 2021 - dl.acm.org
Twitter has become a vital social media platform while an ample amount of malicious Twitter
bots exist and induce undesirable social effects. Successful Twitter bot detection proposals …

[HTML][HTML] Topics and sentiments of public concerns regarding COVID-19 vaccines: Social media trend analysis

M Monselise, CH Chang, G Ferreira, R Yang… - Journal of medical …, 2021 - jmir.org
Background As a number of vaccines for COVID-19 are given emergency use authorization
by local health agencies and are being administered in multiple countries, it is crucial to gain …