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20182026
most citedWords Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models

8 citations · 43 across the 25 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.HC2024★ 7 cited

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…

cs.CL2024★ 8 cited

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…

cs.CL2024★ 1 cited

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…

cs.SI2024

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…

cs.CY2024★ 4 cited

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…