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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 …
Machine learning-based social media bot detection: a comprehensive literature review
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …
of each individual's daily life. The availability of the vast amount of information and their …
Unsupervised social bot detection via structural information theory
Research on social bot detection plays a crucial role in maintaining the order and reliability
of information dissemination while increasing trust in social interactions. The current …
of information dissemination while increasing trust in social interactions. The current …
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 …
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 …
Arming the public with artificial intelligence to counter social bots
The increased relevance of social media in our daily life has been accompanied by efforts to
manipulate online conversations and opinions. Deceptive social bots—automated or semi …
manipulate online conversations and opinions. Deceptive social bots—automated or semi …
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 …
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 …
BotRGCN: Twitter bot detection with relational graph convolutional networks
Twitter bot detection is an important and challenging task. Existing bot detection measures
fail to address the challenge of community and disguise, falling short of detecting bots that …
fail to address the challenge of community and disguise, falling short of detecting bots that …