8 citations · 43 across the 25 of their papers we have counts for
27 papers
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…
How You Ask Shapes What You Get: Auditing Breast-Cancer Misinformation in TikTok Search
Pooriya Jamie, Homa Hosseinmardi, Rezvaneh Rezapour +3
Millions of people use TikTok to seek health information, yet little is known about how users' search queries shape exposure to health misinformation. Whereas prior algorithm audit…
Beyond Binary Detection: A Multi-Dimensional Taxonomy of Cancer Misinformation on Reddit
Aria Pessianzadeh, Pooriya Jamie, Naima Sultana +6
Cancer-related discussions on social media provide important spaces for information exchange and peer support, but can also expose users to misinformation with implications for pre…
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…
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…
Reddit After Roe: A Computational Analysis of Abortion Narratives and Barriers in the Wake of Dobbs
Aria Pessianzadeh, Alex H. Poole, Rezvaneh Rezapour
The 2022 U.S. Supreme Court decision in Dobbs v. Jackson Women's Health Organization reshaped the reproductive rights landscape, introducing new uncertainty and barriers to abortio…
Like a Therapist, But Not: Reddit Narratives of AI in Mental Health Contexts
Elham Aghakhani, Rezvaneh Rezapour
Large language models (LLMs) are increasingly used for emotional support and mental health-related interactions outside clinical settings, yet little is known about how people eval…
In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions
Aria Pessianzadeh, Naima Sultana, Hildegarde Van den Bulck +3
The rise of generative AI (GenAI) has impacted many aspects of human life. As these systems become embedded in everyday practices, understanding public trust in them is also essent…
Beyond the Lens: Quantifying the Impact of Scientific Documentaries through Amazon Reviews
Jill Naiman, Aria Pessianzadeh, Hanyu Zhao +8
Engaging the public with science is critical for a well-informed population. A popular method of scientific communication is documentaries. Once released, it can be difficult to as…
Arab Spring's Impact on Science through the Lens of Scholarly Attention, Funding, and Migration
Yasaman Asgari, Hongyu Zhou, Ozgur Kadir Ozer +3
The 2010-2011 Arab Spring reverberated far beyond politics, reshaping how the Middle East and North Africa region (MENA) is studied. Analyzing 3.7 million Scopus-indexed articles p…
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…
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis
Elham Aghakhani, Lu Wang, Karla T. Washington +3
Problem-solving therapy (PST) is a structured psychological approach that helps individuals manage stress and resolve personal issues by guiding them through problem identification…
From #Dr00gtiktok to #harmreduction: Exploring Substance Use Hashtags on TikTok
Layla Bouzoubaa, Muqi Guo, Joseph Trybala +2
TikTok has emerged as a major source of information and social interaction for youth, raising urgent questions about how substance use discourse manifests and circulates on the pla…
Talk, Listen, Connect: How Humans and AI Evaluate Empathy in Responses to Emotionally Charged Narratives
Mahnaz Roshanaei, Rezvaneh Rezapour, Magy Seif El-Nasr
Social interactions promote well-being, yet barriers like geographic distance, time limitations, and mental health conditions can limit face-to-face interactions. Emotionally respo…
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models
Layla Bouzoubaa, Elham Aghakhani, Rezvaneh Rezapour
Stigma is a barrier to treatment for individuals struggling with substance use disorders (SUD), which leads to significantly lower treatment engagement rates. With only 7% of those…
Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit
Layla Bouzoubaa, Elham Aghakhani, Max Song +2
Online communities such as drug-related subreddits serve as safe spaces for people who use drugs (PWUD), fostering discussions on substance use experiences, harm reduction, and add…
Structural Balance in Real-World Social Networks: Incorporating Direction and Transitivity in Measuring Partial Balance
Rezvaneh Rezapour, Ly Dinh, Lan Jiang +1
Structural balance theory predicts that triads in networks gravitate towards stable configurations. The theory has been verified for undirected graphs. Since real-world networks ar…
Not a Swiss Army Knife: Academics' Perceptions of Trade-Offs Around Generative Artificial Intelligence Use
Afsaneh Razi, Layla Bouzoubaa, Aria Pessianzadeh +2
In the rapidly evolving landscape of computing disciplines, substantial efforts are being dedicated to unraveling the sociotechnical implications of generative AI (Gen AI). While e…
People's Perceptions Toward Bias and Related Concepts in Large Language Models: A Systematic Review
Lu Wang, Max Song, Rezvaneh Rezapour +2
Large language models (LLMs) have brought breakthroughs in tasks including translation, summarization, information retrieval, and language generation, gaining growing interest in t…
Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated Issues
Ramtin Ehsani, Rezvaneh Rezapour, Preetha Chatterjee
To foster collaboration and inclusivity in Open Source Software (OSS) projects, it is crucial to understand and detect patterns of toxic language that may drive contributors away,…
The Evolution of Substance Use Coverage in the Philadelphia Inquirer
Layla Bouzoubaa, Ramtin Ehsani, Preetha Chatterjee +1
The media's representation of illicit substance use can lead to harmful stereotypes and stigmatization for individuals struggling with addiction, ultimately influencing public perc…
Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization
Rezvaneh Rezapour, Sravana Reddy, Ann Clifton +1
This paper contains the description of our submissions to the summarization task of the Podcast Track in TREC (the Text REtrieval Conference) 2020. The goal of this challenge was t…
Detecting Extraneous Content in Podcasts
Sravana Reddy, Yongze Yu, Aasish Pappu +3
Podcast episodes often contain material extraneous to the main content, such as advertisements, interleaved within the audio and the written descriptions. We present classifiers th…
Structural balance in signed digraphs: considering transitivity to measure balance in graphs constructed by using different link signing methods
Ly Dinh, Rezvaneh Rezapour, Lan Jiang +1
Structural balance theory assumes triads in networks to gravitate towards stable configurations. The theory has been verified for undirected graphs. Since real-world networks are o…