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cs.HC2026

Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

Nalin Poungpeth, Nicholas Clark, Tanu Mitra

Large language models (LLMs) possess strong persuasive capabilities that outperform humans in head-to-head comparisons. Users report consulting LLMs to inform major life decisions…

cs.HC2025

Human-AI Interaction Alignment: Designing, Evaluating, and Evolving Value-Centered AI For Reciprocal Human-AI Futures

Hua Shen, Tiffany Knearem, Divy Thakkar +9

The rapid integration of generative AI into everyday life underscores the need to move beyond unidirectional alignment models that only adapt AI to human values. This workshop focu…

cs.HC2025

Towards Designing Social Interventions For Online Climate Change Denialism Discussions

Ruican Zhong, Shruti Phadke, Beth Goldberg +1

As conspiracy theories gain traction, it has become crucial to research effective intervention strategies that can foster evidence and science-based discussions in conspiracy theor…

cs.HC2024

The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations

Robert Wolfe, Tanushree Mitra

Calls to use open generative language models in academic research have highlighted the need for reproducibility and transparency in scientific research. However, the impact of gene…

cs.HC2024

The Impact and Opportunities of Generative AI in Fact-Checking

Robert Wolfe, Tanushree Mitra

Generative AI appears poised to transform white collar professions, with more than 90% of Fortune 500 companies using OpenAI's flagship GPT models, which have been characterized as…