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20222026
most citedLeveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language

9 citations · 22 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.HC2026

"Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users

Caleb Wohn, Buse Çarık, Xiaohan Ding +3

Autistic individuals sometimes disclose autism when asking LLMs for social advice, hoping for more personalized responses. However, they also recognize that these systems may repro…

cs.HC2025★ 8 cited

How Managers Perceive AI-Assisted Conversational Training for Workplace Communication

Lance T. Wilhelm, Xiaohan Ding, Kirk McInnis Knutsen +2

Effective workplace communication is essential for managerial success, yet many managers lack access to tailored and sustained training. Although AI-assisted communication systems…

cs.HC2025

Reimagining Support: Exploring Autistic Individuals' Visions for AI in Coping with Negative Self-Talk

Buse Carik, Victoria Izaac, Xiaohan Ding +2

Autistic individuals often experience negative self-talk (NST), leading to increased anxiety and depression. While therapy is recommended, it presents challenges for many autistic…

cs.HC2024★ 2 cited

Exploring Large Language Models Through a Neurodivergent Lens: Use, Challenges, Community-Driven Workarounds, and Concerns

Buse Carik, Kaike Ping, Xiaohan Ding +1

Despite the increasing use of large language models (LLMs) in everyday life among neurodivergent individuals, our knowledge of how they engage with, and perceive LLMs remains limit…

cs.HC2024★ 2 cited

Designing Human-AI Collaboration to Support Learning in Counterspeech Writing

Xiaohan Ding, Kaike Ping, Uma Sushmitha Gunturi +7

Online hate speech has become increasingly prevalent on social media, causing harm to individuals and society. While automated content moderation has received considerable attentio…

cs.HC2024★ 9 cited

Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language

Xiaohan Ding, Buse Carik, Uma Sushmitha Gunturi +2

We introduce a multi-step reasoning framework using prompt-based LLMs to examine the relationship between social media language patterns and trends in national health outcomes. Gro…