Solorio, Thamar

A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection

Razi, A., Kim, S., Alsoubai, A., Stringhini, G., Solorio, T., De Choudhury, M., & Wisniewski, P. J. (2021) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 95

Exploring high-level features for detecting cyberpedophilia

Bogdanova, D., Rosso, P., & Solorio, T. (2014) · Computer Speech & Language

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 67

Exploring a corpus-based approach for detecting language impairment in monolingual English-speaking children

Gabani, K., Solorio, T., Liu, Y., Hassanali, K.-N., & Dollaghan, C. A. (2011) · Artificial Intelligence in Medicine

Language Development and DisordersNatural Language Processing Techniques

Cited by 18

Early author profiling on Twitter using profile features with multi-resolution

López-Monroy, A. P., González, F. A., & Solorio, T. (2020) · Expert Systems with Applications

Authorship Attribution and ProfilingMental Health via Writing

Cited by 15

What Can Natural Language Processing Do for Peer Review?

Kuznetsov, I., Afzal, O. M., Dercksen, K., Dycke, N., Goldberg, A., Hope, T., Hovy, D., Kummerfeld, J. K., Lauscher, A., Leyton-Brown, K., et al. (2024) · arXiv

Academic Writing and PublishingPublishing and Scholarly Communication

Cited by 6

Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone

Mihalcea, R., Ignat, O., Bai, L., Borah, A., Chiruzzo, L., Jin, Z., Kwizera, C., Nwatu, J., Poria, S., & Solorio, T. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 4