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 …

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 …

Botshape: A novel social bots detection approach via behavioral patterns

J Wu, X Ye, C Mou - arXiv preprint arXiv:2303.10214, 2023 - arxiv.org
An essential topic in online social network security is how to accurately detect bot accounts
and relieve their harmful impacts (eg, misinformation, rumor, and spam) on genuine users …

Unsupervised social bot detection via structural information theory

H Peng, J Zhang, X Huang, Z Hao, A Li, Z Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Mgtab: A multi-relational graph-based twitter account detection benchmark

S Shi, K Qiao, J Chen, S Yang, J Yang, B Song… - arXiv preprint arXiv …, 2023 - arxiv.org
The development of social media user stance detection and bot detection methods rely
heavily on large-scale and high-quality benchmarks. However, in addition to low annotation …

BIC: Twitter bot detection with text-graph interaction and semantic consistency

Z Lei, H Wan, W Zhang, S Feng, Z Chen, J Li… - arXiv preprint arXiv …, 2022 - arxiv.org
Twitter bots are automatic programs operated by malicious actors to manipulate public
opinion and spread misinformation. Research efforts have been made to automatically …

LMbot: distilling graph knowledge into language model for graph-less deployment in twitter bot detection

Z Cai, Z Tan, Z Lei, Z Zhu, H Wang, Q Zheng… - Proceedings of the 17th …, 2024 - dl.acm.org
As malicious actors employ increasingly advanced and widespread bots to disseminate
misinformation and manipulate public opinion, the detection of Twitter bots has become a …

A survey on the use of graph convolutional networks for combating fake news

I Varlamis, D Michail, F Glykou, P Tsantilas - Future Internet, 2022 - mdpi.com
The combat against fake news and disinformation is an ongoing, multi-faceted task for
researchers in social media and social networks domains, which comprises not only the …

Detecting social bot on the fly using contrastive learning

M Zhou, D Zhang, Y Wang, YA Geng… - Proceedings of the 32nd …, 2023 - dl.acm.org
Social bot detection is becoming a task of wide concern in social security. All along, the
development of social bot detection technology is hindered by the lack of high-quality …

Twitter bot identification: An anomaly detection approach

L Alkulaib, L Zhang, Y Sun… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The vast presence of bots on Twitter requires reliable and accurate bot detection methods
that differentiate legitimate bots from malicious ones. Despite the success of those methods …