A new direction in social network analysis: Online social network analysis problems and applications

U Can, B Alatas - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
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 …

Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges

MA Al-Garadi, MR Hussain, N Khan, G Murtaza… - IEEE …, 2019 - ieeexplore.ieee.org
Prior to the innovation of information communication technologies (ICT), social interactions
evolved within small cultural boundaries such as geo spatial locations. The recent …

Twibot-22: Towards graph-based twitter bot detection

S Feng, Z Tan, H Wan, N Wang… - Advances in …, 2022 - proceedings.neurips.cc
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 …

Detection of novel social bots by ensembles of specialized classifiers

M Sayyadiharikandeh, O Varol, KC Yang… - Proceedings of the 29th …, 2020 - dl.acm.org
Malicious actors create inauthentic social media accounts controlled in part by algorithms,
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 …

Arming the public with artificial intelligence to counter social bots

KC Yang, O Varol, CA Davis, E Ferrara… - Human Behavior …, 2019 - Wiley Online Library
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 …

The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race

S Cresci, R Di Pietro, M Petrocchi… - Proceedings of the 26th …, 2017 - dl.acm.org
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 …

Using bert to extract topic-independent sentiment features for social media bot detection

M Heidari, JH Jones - 2020 11th IEEE annual ubiquitous …, 2020 - ieeexplore.ieee.org
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 …

Twibot-20: A comprehensive twitter bot detection benchmark

S Feng, H Wan, N Wang, J Li, M Luo - Proceedings of the 30th ACM …, 2021 - dl.acm.org
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 …

Fame for sale: Efficient detection of fake Twitter followers

S Cresci, R Di Pietro, M Petrocchi, A Spognardi… - Decision Support …, 2015 - Elsevier
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 …