A new direction in social network analysis: Online social network analysis problems and applications
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …
of the Internet has become widespread worldwide as the technological infrastructure and the …
Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges
Prior to the innovation of information communication technologies (ICT), social interactions
evolved within small cultural boundaries such as geo spatial locations. The recent …
evolved within small cultural boundaries such as geo spatial locations. The recent …
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 …
Deep neural networks for bot detection
S Kudugunta, E Ferrara - Information Sciences, 2018 - Elsevier
The problem of detecting bots, automated social media accounts governed by software but
disguising as human users, has strong implications. For example, bots have been used to …
disguising as human users, has strong implications. For example, bots have been used to …
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 …
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 …
Fame for sale: Efficient detection of fake Twitter followers
Fake followers are those Twitter accounts specifically created to inflate the number of
followers of a target account. Fake followers are dangerous for the social platform and …
followers of a target account. Fake followers are dangerous for the social platform and …