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20212026
most citedTwiBot-20: A Comprehensive Twitter Bot Detection Benchmark

198 citations · 474 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2026

The Deliberative Illusion: Diagnosing Factual Attrition and Stance Homogenization in Multi-Agent LLM Deliberation

Herun Wan, Jiaying Wu, Minnan Luo +4

Multi-agent LLM systems often treat consensus as evidence of successful interaction. For deliberative problems, however, reliability depends on whether agents preserve the facts an…

cs.CL2025

GuessBench: Sensemaking Multimodal Creativity in the Wild

Zifeng Zhu, Shangbin Feng, Herun Wan +3

We propose GuessBench, a novel benchmark that evaluates Vision Language Models (VLMs) on modeling the pervasive, noisy, and pluralistic human creativity. GuessBench sources data fr…

cs.CL2024★ 2 cited

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

Shangbin Feng, Herun Wan, Ningnan Wang +3

Social media bot detection has always been an arms race between advancements in machine learning bot detectors and adversarial bot strategies to evade detection. In this work, we b…

cs.CL2022

PAR: Political Actor Representation Learning with Social Context and Expert Knowledge

Shangbin Feng, Zhaoxuan Tan, Zilong Chen +5

Modeling the ideological perspectives of political actors is an essential task in computational political science with applications in many downstream tasks. Existing approaches ar…

cs.SI2022★ 47 cited

TwiBot-22: Towards Graph-Based Twitter Bot Detection

Shangbin Feng, Zhaoxuan Tan, Herun Wan +19

Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online discourse. St…

cs.SI2021★ 149 cited

BotRGCN: Twitter Bot Detection with Relational Graph Convolutional Networks

Shangbin Feng, Herun Wan, Ningnan Wang +1

Twitter bot detection is an important and challenging task. Existing bot detection measures fail to address the challenge of community and disguise, falling short of detecting bots…

cs.SI2021★ 78 cited

SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection

Shangbin Feng, Herun Wan, Ningnan Wang +2

Twitter has become a major social media platform since its launching in 2006, while complaints about bot accounts have increased recently. Although extensive research efforts have…

cs.SI2021★ 198 cited

TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark

Shangbin Feng, Herun Wan, Ningnan Wang +2

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 propo…