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What Does the Bot Say? Opportunities and Risks of Large Language Models
  in Social Media Bot Detection
v1v2 (latest)

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

1 February 2024
Shangbin Feng
Herun Wan
Ningnan Wang
Zhaoxuan Tan
Minnan Luo
Yulia Tsvetkov
    AAMLDeLMO
ArXiv (abs)PDFHTML

Papers citing "What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection"

4 / 4 papers shown
Title
Consistency of Responses and Continuations Generated by Large Language Models on Social Media
Consistency of Responses and Continuations Generated by Large Language Models on Social Media
Wenlu Fan
Yinlin Zhu
Chenyang Wang
Bin Wang
Wentao Xu
144
1
0
14 Jan 2025
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
Ruosen Li
Teerth Patel
Xinya Du
LLMAGALM
191
102
0
03 Jan 2025
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
Herun Wan
Minnan Luo
Zhixiong Su
Guang Dai
Xiang Zhao
DeLMO
112
1
0
16 Oct 2024
Large Language Models can Achieve Social Balance
Large Language Models can Achieve Social Balance
Pedro Cisneros-Velarde
101
1
0
05 Oct 2024
1