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From the 2 of 15 linked papers with an AI index.

collaborators

15 papers

cs.CL2026

Stigma and Support in Online Sexual Violence Narratives on Reddit

Shirlene Rose Bandela, Karan Bindal, Vaibhav Garg +1

Online communities increasingly provide spaces where survivors of sexual violence can share their experiences and seek support. Although prior research has examined stigma and soci…

cs.SI2026

How You Ask Shapes What You Get: Auditing Breast-Cancer Misinformation in TikTok Search

Pooriya Jamie, Homa Hosseinmardi, Rezvaneh Rezapour +3

The paper audits TikTok's search function for breast‑cancer information, showing that the way users phrase their queries (e.g., medical vs. alternative‑medicine framing) strongly i…

cs.CL2026

Beyond Binary Detection: A Multi-Dimensional Taxonomy of Cancer Misinformation on Reddit

Aria Pessianzadeh, Pooriya Jamie, Naima Sultana +6

The paper presents a seven‑dimensional taxonomy for labeling cancer misinformation in Reddit discussions and evaluates large language models, especially few‑shot prompting, for aut…

cs.CL2026

Self-Stigma Is Not a Monolith, but Generic Empathy Is: Persona-Conditioned LLM Support for People Who Use Drugs

Layla Bouzoubaa, Rezvaneh Rezapour

Self-stigma predicts treatment avoidance and disengagement among people who use drugs (PWUD), yet conversational systems aiming to provide support typically treat self-stigma expre…

cs.CL2026

The cognitive, affective, and behavioral expression of self-stigma among people who use drugs in online substance use communities

Layla Bouzoubaa, Hyung Wook Choi, Milan Varghese +2

Objectives: To develop a codebook for self-stigma across cognitive, affective, and behavioral domains, and to estimate the prevalence, co-occurrence, and temporal patterns of these…

cs.CL2026

A Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detection

Ximing Wen, Rezvaneh Rezapour

Sarcasm detection, with its figurative nature, poses unique challenges for affective systems designed to perform sentiment analysis. While these systems typically perform well at i…