Cover Image

Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lavrouk, Anton, Ligon, Ian, Naous, Tarek, Zheng, Jonathan, Ritter, Alan, Xu, Wei
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Computers and Society Machine Learning Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What are Foundation Models Cooking in the Post-Soviet World?
by: Lavrouk, Anton, et al.
Published: (2025)

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
by: Naous, Tarek, et al.
Published: (2023)

How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
by: Guo, Ruohao, et al.
Published: (2025)

Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection
by: Choi, Eun Cheol, et al.
Published: (2025)

On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena
by: Naous, Tarek, et al.
Published: (2025)

Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
by: Naous, Tarek, et al.
Published: (2023)

Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
by: Liu, Yanchen, et al.
Published: (2023)

A Guide to Misinformation Detection Data and Evaluation
by: Thibault, Camille, et al.
Published: (2024)

Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities
by: He, Zihao, et al.
Published: (2024)

Improving Stance Detection by Leveraging Measurement Knowledge from Social Sciences: A Case Study of Dutch Political Tweets and Traditional Gender Role Division
by: Fang, Qixiang, et al.
Published: (2022)

CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
by: Singh, Sahajpreet, et al.
Published: (2026)

SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks
by: Shliselberg, Michael, et al.
Published: (2024)

WhatsApp Vaccine Discourse (WhaVax): An Expert-Annotated Dataset and Benchmark for Health Misinformation Detection
by: Santos, Jônatas H. dos, et al.
Published: (2026)

CARE: Multilingual Human Preference Learning for Cultural Awareness
by: Guo, Geyang, et al.
Published: (2025)

Reducing Privacy Risks in Online Self-Disclosures with Language Models
by: Dou, Yao, et al.
Published: (2023)

Evolution of wartime discourse on Telegram: A comparative study of Ukrainian and Russian policymakers' communication before and after Russia's full-scale invasion of Ukraine
by: Makhortykh, Mykola, et al.
Published: (2025)

Auditing Stance Asymmetry in Generative Explanations
by: Han, Jiarui
Published: (2026)

SoK: Machine Learning for Misinformation Detection
by: Xiao, Madelyne, et al.
Published: (2023)

Navigating the Peril of Generated Alternative Facts: A ChatGPT-4 Fabricated Omega Variant Case as a Cautionary Tale in Medical Misinformation
by: Sallam, Malik, et al.
Published: (2024)

Flipping the Dialogue: Training and Evaluating User Language Models
by: Naous, Tarek, et al.
Published: (2025)

Classifying Problem and Solution Framing in Congressional Social Media
by: Melnyk, Misha, et al.
Published: (2026)

Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegram
by: Hanley, Hans W. A., et al.
Published: (2023)

Simulation of Stance Perturbations
by: Carragher, Peter, et al.
Published: (2023)

Generative Debunking of Climate Misinformation
by: Zanartu, Francisco, et al.
Published: (2024)

Who Shapes Brazil's Vaccine Debate? Semi-Supervised Modeling of Stance and Polarization in YouTube's Media Ecosystem
by: de Oliveira, Geovana S., et al.
Published: (2026)

NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
by: Zheng, Jonathan, et al.
Published: (2024)

Explore the Potential of LLMs in Misinformation Detection: An Empirical Study
by: Chen, Mengyang, et al.
Published: (2023)

Robust Misinformation Detection by Visiting Potential Commonsense Conflict
by: Wang, Bing, et al.
Published: (2025)

Diverse Misinformation: Impacts of Human Biases on Detection of Deepfakes on Networks
by: Lovato, Juniper, et al.
Published: (2022)

Leveraging Social Media Data to Identify Factors Influencing Public Attitude Towards Accessibility, Socioeconomic Disparity and Public Transportation
by: Momin, Khondhaker Al, et al.
Published: (2024)

The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
by: Nandi, Arghodeep, et al.
Published: (2025)

Evaluating the Simulation of Human Personality-Driven Susceptibility to Misinformation with LLMs
by: Pratelli, Manuel, et al.
Published: (2025)

Politics of Questions in News: A Mixed-Methods Study of Interrogative Stances as Markers of Voice and Power
by: Victor, Bros, et al.
Published: (2026)

Verifying Rumors via Stance-Aware Structural Modeling
by: Nkhata, Gibson, et al.
Published: (2025)

Visual Selective Attention System to Intervene User Attention in Sharing COVID-19 Misinformation
by: Amin, Zaid, et al.
Published: (2021)

When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms
by: Chun, Chaewan, et al.
Published: (2026)

Simulating Misinformation Propagation in Social Networks using Large Language Models
by: Maurya, Raj Gaurav, et al.
Published: (2025)

TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings
by: Hanley, Hans W. A., et al.
Published: (2023)

Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation
by: Neumann, Terrence, et al.
Published: (2024)

Toward a digital twin of U.S. Congress
by: Helm, Hayden, et al.
Published: (2025)