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

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Feng, Shangbin, Wan, Herun, Wang, Ningnan, Tan, Zhaoxuan, Luo, Minnan, Tsvetkov, Yulia
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
di: Wan, Herun, et al.
Pubblicazione: (2024)

GuessBench: Sensemaking Multimodal Creativity in the Wild
di: Zhu, Zifeng, et al.
Pubblicazione: (2025)

Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
di: Zheng, Shiyan, et al.
Pubblicazione: (2025)

LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
di: Cai, Zijian, et al.
Pubblicazione: (2023)

Can Language Models Solve Graph Problems in Natural Language?
di: Wang, Heng, et al.
Pubblicazione: (2023)

KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models
di: Bai, Yuyang, et al.
Pubblicazione: (2023)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
di: Ding, Wenxuan, et al.
Pubblicazione: (2023)

On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
di: Wan, Herun, et al.
Pubblicazione: (2024)

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis
di: Wan, Herun, et al.
Pubblicazione: (2024)

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models
di: Wang, Yike, et al.
Pubblicazione: (2025)

Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment
di: Zhang, Yizhuo, et al.
Pubblicazione: (2025)

Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
di: Zhang, Yizhuo, et al.
Pubblicazione: (2024)

Resolving Knowledge Conflicts in Large Language Models
di: Wang, Yike, et al.
Pubblicazione: (2023)

The Single-Multi Evolution Loop for Self-Improving Model Collaboration Systems
di: Feng, Shangbin, et al.
Pubblicazione: (2026)

Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems
di: Yang, Ziyuan, et al.
Pubblicazione: (2026)

MentorCollab: Selective Large-to-Small Inference-Time Guidance for Efficient Reasoning
di: Wang, Haojin, et al.
Pubblicazione: (2026)

SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat
di: Jiang, Yuru, et al.
Pubblicazione: (2025)

Data Swarms: Optimizable Generation of Synthetic Evaluation Data
di: Feng, Shangbin, et al.
Pubblicazione: (2025)

Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection
di: Wan, Herun, et al.
Pubblicazione: (2025)

HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring
di: Su, Zhixiong, et al.
Pubblicazione: (2025)

Know Your Limits: A Survey of Abstention in Large Language Models
di: Wen, Bingbing, et al.
Pubblicazione: (2024)

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
di: Feng, Shangbin, et al.
Pubblicazione: (2023)

DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant Rationales
di: Wan, Herun, et al.
Pubblicazione: (2025)

Don't Throw Away Your Pretrained Model
di: Feng, Shangbin, et al.
Pubblicazione: (2025)

Small Reward Models via Backward Inference
di: Wang, Yike, et al.
Pubblicazione: (2026)

Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts
di: Askari, Hadi, et al.
Pubblicazione: (2024)

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples
di: Zeng, Qingkai, et al.
Pubblicazione: (2024)

Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only
di: Yao, Jihan, et al.
Pubblicazione: (2024)

Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
di: Feng, Shangbin, et al.
Pubblicazione: (2024)

Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection
di: Ahuja, Kabir, et al.
Pubblicazione: (2025)

P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language Models
di: Liu, Yuhan, et al.
Pubblicazione: (2023)

Bot or Human? Detecting ChatGPT Imposters with A Single Question
di: Wang, Hong, et al.
Pubblicazione: (2023)

The Facade of Truth: Uncovering and Mitigating LLM Susceptibility to Deceptive Evidence
di: Wan, Herun, et al.
Pubblicazione: (2026)

WisdomBot: Tuning Large Language Models with Artificial Intelligence Knowledge
di: Chen, Jingyuan, et al.
Pubblicazione: (2025)

FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text
di: Boonsanong, Varich, et al.
Pubblicazione: (2025)

Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets
di: Walsh, Melanie, et al.
Pubblicazione: (2024)

Extracting Training Dialogue Data from Large Language Model based Task Bots
di: Zhang, Shuo, et al.
Pubblicazione: (2026)

CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
di: Zeng, Qingkai, et al.
Pubblicazione: (2024)

What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics
di: Ng, Lynnette Hui Xian, et al.
Pubblicazione: (2025)

LAB: Large-Scale Alignment for ChatBots
di: Sudalairaj, Shivchander, et al.
Pubblicazione: (2024)