Kumar, Srijan

Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes

Kumar, S., West, R., & Leskovec, J. (2016) · Proceedings of the 25th International Conference on World Wide Web

Misinformation and Its ImpactsWikis in Education and Collaboration

Cited by 310

False Information on Web and Social Media: A Survey

Kumar, S., & Shah, N. (2018) · arXiv

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 289

Measuring the Evolution of a Scientific Field through Citation Frames

Jurgens, D., Kumar, S., Hoover, R., McFarland, D., & Jurafsky, D. (2018) · Transactions of the Association for Computational Linguistics

scientometrics and bibliometrics researchWeb visibility and informetrics

Cited by 212

An Army of Me: Sockpuppets in Online Discussion Communities

Kumar, S., Cheng, J., Leskovec, J., & Subrahmanian, V. S. (2017) · Proceedings of the 26th International Conference on World Wide Web

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 178

The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic

Micallef, N., He, B., Kumar, S., Ahamad, M., & Memon, N. (2020) · 2020 IEEE International Conference on Big Data (Big Data)

Misinformation and Its ImpactsComplex Network Analysis Techniques

Cited by 116

Research can help to tackle AI-generated disinformation

Feuerriegel, S., DiResta, R., Goldstein, J. A., Kumar, S., Lorenz-Spreen, P., Tomz, M., & Pröllochs, N. (2023) · Nature Human Behaviour

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 64

Mm-soc: Benchmarking multimodal large language models in social media platforms

Jin, Y., Choi, M., Verma, G., Wang, J., & Kumar, S. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Multimodal Machine Learning ApplicationsHate Speech and Cyberbullying Detection

Cited by 20

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

Do Large Language Models Align with Core Mental Health Counseling Competencies?

Nguyen, V. C., Taher, M., Hong, D., Possobom, V. K., Gopalakrishnan, V. T., Raj, E., Li, Z., Soled, H. J., Birnbaum, M. L., Kumar, S., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 3