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Adversarial botometer

Adversarial analysis for social bot detection

Bibliographic Data

ID16858684
AuthorsShaghayegh Najari (University of Tehran), Davood Rafiei (0000-0003-2403-0266, University of Alberta), Mostafa Salehi (0000-0002-2577-5828, Institute for Research in Fundamental Sciences, corresponding author), Reza Farahbakhsh (0000-0003-3219-3700, Institut Polytechnique de Paris)
Year2024
Volume14
Issue1
Publication date2024-11-24
Open AccessYes
TypeARTICLE
VenueSocial Network Analysis and Mining (JOURNAL)
Journal identifiersISSN: 1869-5450 • E-ISSN: 1869-5469
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s13278-024-01387-7
OpenAlexW4404656998
LanguageEN
Citations received1
References cited31

Adversarial system · Machine learning · Advanced Malware Detection Techniques · Computer Science · Misinformation and Its Impacts · Spam and Phishing Detection · Artificial Intelligence

  • Using chatbot in education – A systematic review and research agenda

    Open Access•Tai Ming Wut, Tai-ming Wut et al.•Social Sciences & Humanities Open•2026

  • The rise of social bots

    Open Access•Emilio Ferrara, Onur Varol et al.•Communications of the ACM•2016

  • Online Human-Bot Interactions

    Open Access•Onur Varol, Emilio Ferrara et al.•Proceedings of the International…•2017

  • Machine learning-based social media bot detection

    Open Access•Malak Aljabri, Rachid Zagrouba et al.•Social Network Analysis and Mining•2023

  • Social bot detection in the age of ChatGPT

    Open Access•Emilio Ferrara•First Monday•2023

  • Assessing the risks of ‘infodemics’ in response to Covid-19 epidemics

    Open Access•Rosalia Gallotti, Francesco Valle et al.•Nature Human Behaviour•2020

  • Ganbot

    Open Access•Shaghayegh Najari, Mostafa Salehi et al.•Social Network Analysis and Mining•2022

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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