Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection

17 January 2023

Papers citing "Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection"

8 / 8 papers shown

Title
SPADE: Systematic Prompt Framework for Automated Dialogue Expansion in Machine-Generated Text Detection Haoyi Li Angela Yifei Yuan Soyeon Caren Han Christopher Leckie 58 0 0 19 Mar 2025
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes Qi Wu Yingguang Yang Hao Liu Hao Peng Buyun He Yutong Xia Yong Liao AAML 66 0 0 11 Mar 2025
BounTCHA: A CAPTCHA Utilizing Boundary Identification in Guided Generative AI-extended Videos Lehao Lin Ke Wang Maha Abdallah Wei Cai AAML 101 0 0 30 Jan 2025
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI Houjiang Liu Anubrata Das Alexander Boltz Didi Zhou Daisy Pinaroc Matthew Lease Min Kyung Lee HAI 27 17 0 14 Aug 2023
How Good Are SOTA Fake News Detectors Matthew Iceland 21 6 0 04 Aug 2023
BotHawk: An Approach for Bots Detection in Open Source Software Projects Fenglin Bi Zhi-liang Zhu Wei Wang Xiaoya Xia Hassan Ali Khan Pengxian Pu 25 1 0 25 Jul 2023
Demystifying Misconceptions in Social Bots Research S. Cresci Kai-Cheng Yang A. Spognardi Roberto Di Pietro Maurizio Tesconi M. Petrocchi 39 17 0 30 Mar 2023
Characterizing Retweet Bots: The Case of Black Market Accounts Tuğrulcan Elmas R. Overdorf Karl Aberer 27 18 0 04 Dec 2021