Chinese AI tool ERNIE Bot Textual Exploration of False Information [PDF]
SHS Web of ConferencesThis study provides an in-depth discussion of the application of the Chinese AI tool ERNIE Bot in disinformation detection. First and foremost, the spreading characteristics of false information are analysed, especially the phenomenon of rapid spreading ...
Fu Yue
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Resultaten van het Rijkswaterstaat JAMP 2008 monitoringsprogramma van bot (Platichthys flesus L.). Biologische gegevens van bot en milieukritische stoffen in bot [PDF]
, 2009 De in dit rapport beschreven werkzaamheden zijn door Wageningen IMARES uitgevoerd op basis van een opdracht van Rijkswaterstaat in het kader van het Joint Assessment and Monitoring Program van de OSPARCOM.
Hoek-van Nieuwenhuizen, M., van +1 more
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SeBot-MLS: Multi-level structural feature learning for graph-based social bot detection
Journal of Safety Science and ResilienceRecent advances in artificial intelligence technologies, especially large language models, have made social bots more intelligent and human-like. This increased sophistication poses significant challenges to accurate bot detection.
Xinyi Tian, Yuqi He, Yimei Wu, Xin Lu
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Using Improved Conditional Generative Adversarial Networks to Detect Social Bots on Twitter
IEEE Access, 2020 The detection and removal of malicious social bots in social networks has become an area of interest in industry and academia. The widely used bot detection method based on machine learning leads to an imbalance in the number of samples in different ...
Bin Wu +4 more
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Bot stamina: examining the influence and staying power of bots in online social networks
Applied Network Science, 2019 This study presents a novel approach to expand the emergent area of social bot research. We employ a methodological framework that aggregates and fuses data from multiple global Twitter conversations with an available bot detection platform and ...
Ross Schuchard +3 more
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Evolution of Malicious Social Bot Detection: From Individual Profiling to Group Analysis and Beyond
Journal of Social ComputingThe rise of online social platforms has enhanced connectivity and access to information. Still, it has also enabled the proliferation of malicious social bots that threaten platform security and disrupt social order. In this paper, we introduce a unified
Yina Liu, Shuai Xu, Yicong Li, Shuo Yu
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Contrast Pattern-Based Classification for Bot Detection on Twitter
IEEE Access, 2019 Detecting non-human activity in social networks has become an area of great interest for both industry and academia. In this context, obtaining a high detection accuracy is not the only desired quality; experts in the application domain would also like ...
Octavio Loyola-Gonzalez +4 more
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vamsitadikonda/chat-defender-bot: first major release
, 2022 A Discord Bot to prevent cyberbullying and hate speech in ...
Bharath +5 more
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A language framework for modeling social media account behavior
EPJ Data Science, 2023 Malicious actors exploit social media to inflate stock prices, sway elections, spread misinformation, and sow discord. To these ends, they employ tactics that include the use of inauthentic accounts and campaigns. Methods to detect these abuses currently
Alexander C. Nwala +2 more
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Bot detection on twitter [PDF]
, 2019 Twitter is one of the most popular social media platforms with 319 million monthly active users who publish 500 million tweets per day. With this popularity, spam accounts are also emerging for phishing on Twitter or spreading malicious software ...
Coskun, Aysun +2 more
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