Contrast pattern-based classification for bot detection on twitter
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 …
both industry and academia. In this context, obtaining a high detection accuracy is not the …
[PDF][PDF] A review on social bot detection techniques and research directions
The rise of web services and popularity of online social networks (OSN) like Facebook,
Twitter, LinkedIn etc. have led to the rise of unwelcome social bots as automated social …
Twitter, LinkedIn etc. have led to the rise of unwelcome social bots as automated social …
Simplistic collection and labeling practices limit the utility of benchmark datasets for Twitter bot detection
Accurate bot detection is necessary for the safety and integrity of online platforms. It is also
crucial for research on the influence of bots in elections, the spread of misinformation, and …
crucial for research on the influence of bots in elections, the spread of misinformation, and …
Detecting malicious social bots: story of a never-ending clash
S Cresci - Disinformation in Open Online Media: First …, 2020 - Springer
Recently, studies on the characterization and detection of social bots were published at an
impressive rate. By looking back at over ten years of research and experimentation on social …
impressive rate. By looking back at over ten years of research and experimentation on social …
Detecting social bots by jointly modeling deep behavior and content information
Bots are regarded as the most common kind of malwares in the era of Web 2.0. In recent
years, Internet has been populated by hundreds of millions of bots, especially on social …
years, Internet has been populated by hundreds of millions of bots, especially on social …
Hunting malicious bots on twitter: An unsupervised approach
Malicious bots violate Twitter's terms of service–they include bots that post spam content,
adware and malware, as well as bots that are designed to sway public opinion. How …
adware and malware, as well as bots that are designed to sway public opinion. How …
Bot datasets on twitter: Analysis and challenges
The reach and influence of social networks over modern society and its functioning have
created new challenges and opportunities to prevent the misuse or tampering of such …
created new challenges and opportunities to prevent the misuse or tampering of such …
Language-agnostic twitter-bot detection
J Knauth - Proceedings of the International Conference on Recent …, 2019 - aclanthology.org
In this paper we address the problem of detecting Twitter bots. We analyze a dataset of 8385
Twitter accounts and their tweets consisting of both humans and different kinds of bots. We …
Twitter accounts and their tweets consisting of both humans and different kinds of bots. We …
Bot detection using a single post on social media
Recent studies of social media have made a unanimous conclusion that public opinions can
be altered through systematic exploitation of social media using bot accounts. The existing …
be altered through systematic exploitation of social media using bot accounts. The existing …
LOBO: Evaluation of generalization deficiencies in Twitter bot classifiers
Botnets in online social networks are increasingly often affecting the regular flow of
discussion, attacking regular users and their posts, spamming them with irrelevant or …
discussion, attacking regular users and their posts, spamming them with irrelevant or …