Social bot detection in the age of ChatGPT: Challenges and opportunities

E Ferrara - First Monday, 2023 - firstmonday.org
We present a comprehensive overview of the challenges and opportunities in social bot
detection in the context of the rise of sophisticated AI-based chatbots. By examining the state …

The rise of social bots

E Ferrara, O Varol, C Davis, F Menczer… - Communications of the …, 2016 - dl.acm.org
The rise of social bots Page 1 96 COMMUNICATIONS OF THE ACM | JULY 2016 | VOL. 59 |
NO. 7 review articles ILL US TRA TION B Y ARN0 DOI:10.1145/2818717 Today’s social bots …

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

D Antonakaki, P Fragopoulou, S Ioannidis - Expert systems with …, 2021 - Elsevier
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

[HTML][HTML] Bots and misinformation spread on social media: Implications for COVID-19

MK Himelein-Wachowiak, S Giorgi, A Devoto… - Journal of medical …, 2021 - jmir.org
As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of
COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …

Word-level textual adversarial attacking as combinatorial optimization

Y Zang, F Qi, C Yang, Z Liu, M Zhang, Q Liu… - arxiv preprint arxiv …, 2019 - arxiv.org
Adversarial attacks are carried out to reveal the vulnerability of deep neural networks.
Textual adversarial attacking is challenging because text is discrete and a small perturbation …

Understanding the effect of deplatforming on social networks

S Ali, MH Saeed, E Aldreabi, J Blackburn… - Proceedings of the 13th …, 2021 - dl.acm.org
Aiming to enhance the safety of their users, social media platforms enforce terms of service
by performing active moderation, including removing content or suspending users …

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 …

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 …

Mean birds: Detecting aggression and bullying on twitter

D Chatzakou, N Kourtellis, J Blackburn… - Proceedings of the …, 2017 - dl.acm.org
In recent years, bullying and aggression against social media users have grown
significantly, causing serious consequences to victims of all demographics. Nowadays …

Weakly supervised learning for fake news detection on Twitter

S Helmstetter, H Paulheim - 2018 IEEE/ACM International …, 2018 - ieeexplore.ieee.org
The problem of automatic detection of fake news in social media, eg, on Twitter, has recently
drawn some attention. Although, from a technical perspective, it can be regarded as a …