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 …
A review on social spam detection: Challenges, open issues, and future directions
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …
applications such as content sharing, chatting, making friends/followers, customer …
Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems
Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …
been remarkable. Deep learning, in particular, has been extensively used to drive …
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 …
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
Detection of bots in social media: a systematic review
Social media bots (automated accounts) attacks are organized crimes that pose potential
threats to public opinion, democracy, public health, stock market and other disciplines. While …
threats to public opinion, democracy, public health, stock market and other disciplines. While …
The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race
Recent studies in social media spam and automation provide anecdotal argumentation of
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …
Using bert to extract topic-independent sentiment features for social media bot detection
Millions of online posts about different topics and products are shared on popular social
media platforms. One use of this content is to provide crowd-sourced information about a …
media platforms. One use of this content is to provide crowd-sourced information about a …
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 …
Deep graph neural network-based spammer detection under the perspective of heterogeneous cyberspace
Due to the severe threat to cyberspace security, detection of online spammers has been a
universal concern of academia. Nowadays, prevailing literature of this field almost leveraged …
universal concern of academia. Nowadays, prevailing literature of this field almost leveraged …