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

198 citations · 484 across the 22 of their papers we have counts for

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8 papers · 1 filter

cs.SI2026

From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild

Zhi Zeng, Yifei Yang, Jiaying Wu +5

The rise of micro-videos has reshaped how misinformation spreads, amplifying its speed, reach, and impact on public trust. Existing benchmarks typically focus on a single deception…

cs.SI2025

Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning

Yifei Xu, Jiaying Wu, Herun Wan +3

Hashtag trends ignite campaigns, shift public opinion, and steer millions of dollars in advertising spend, yet forecasting which tag goes viral is elusive. Classical regressors dig…

cs.SI2024

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis

Herun Wan, Minnan Luo, Zihan Ma +2

Social media platforms provide an ideal environment to spread misinformation, where social bots can accelerate the spread. This paper explores the interplay between social bots and…

cs.SI2023★ 2 cited

BotPercent: Estimating Bot Populations in Twitter Communities

Zhaoxuan Tan, Shangbin Feng, Melanie Sclar +4

Twitter bot detection is vital in combating misinformation and safeguarding the integrity of social media discourse. While malicious bots are becoming more and more sophisticated a…

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…