Hale, Scott

Political Turbulence: How Social Media Shape Collective Action

MARGETTS, H., JOHN, P., HALE, S., & YASSERI, T. (2015) · Princeton University Press eBooks

Political Conflict and GovernanceElectoral Systems and Political Participation

Cited by 238

Factuality challenges in the era of large language models and opportunities for fact-checking

Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., DiResta, R., Ferrara, E., Hale, S., Halevy, A., et al. (2024) · Nature Machine Intelligence

Misinformation and Its ImpactsTopic Modeling

Cited by 187

The benefits, risks and bounds of personalizing the alignment of large language models to individuals

Kirk, H. R., Vidgen, B., Röttger, P., & Hale, S. A. (2024) · Nature Machine Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 122

Measuring what Matters: Construct Validity in Large Language Model Benchmarks

Bean, A. M., Kearns, R. O., Romanou, A., Hafner, F. S., Mayne, H., Batzner, J., Foroutan Eghlidi, N., Schmitz, C., Korgul, K., Batra, H., et al. (2025) · Advances in Neural Information Processing Systems 38

Topic ModelingNatural Language Processing Techniques

Cited by 110

Does Campaigning on Social Media Make a Difference? Evidence From Candidate Use of Twitter During the 2015 and 2017 U.K. Elections

Bright, J., Hale, S., Ganesh, B., Bulovsky, A., Margetts, H., & Howard, P. (2020) · Communication Research

Social Media and PoliticsElectoral Systems and Political Participation

Cited by 104

Factuality Challenges in the Era of Large Language Models

Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., DiResta, R., Ferrara, E., Hale, S., Halevy, A., et al. (2023) · arXiv

Misinformation and Its ImpactsEthics and Social Impacts of AI

Cited by 32

Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

Kirk, H. R., Vidgen, B., Röttger, P., & Hale, S. A. (2023) · arXiv

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 22

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Bartolo, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5