Explainable artificial intelligence applications in cyber security: State-of-the-art in research
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
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 …
2020 | VOL. 63 | NO. 10 review articles ON THE MORNING of November 9, 2016, the world …
Explainable artificial intelligence in cybersecurity: A survey
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
[HTML][HTML] Bots and misinformation spread on social media: Implications for COVID-19
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 …
COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …
Twibot-22: Towards graph-based twitter bot detection
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 …
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …
Botometer 101: Social bot practicum for computational social scientists
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 …
particular, can manipulate online discussions of important issues ranging from elections to …
Detection of novel social bots by ensembles of specialized classifiers
Malicious actors create inauthentic social media accounts controlled in part by algorithms,
known as social bots, to disseminate misinformation and agitate online discussion. While …
known as social bots, to disseminate misinformation and agitate online discussion. While …
Twibot-20: A comprehensive twitter bot detection benchmark
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 …
bots exist and induce undesirable social effects. Successful Twitter bot detection proposals …
Scalable and generalizable social bot detection through data selection
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 …
on social media. Despite rapid development, state-of-the-art bot detection models still face …