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Artificial Intelligence-Mediated Communication (AI-MC) is reshaping message construction, dissemination, and interpretation. This dual study examines AI-MC's impact on positivity bias and information retention in non-academic and academic writing. Findings show nuanced bias effects across large language models (LLMs), with ChatGPT 4.0 reducing perceived bias in non-academic texts and no significant information loss between original and AI-refined texts. These results support cautious AI integration in academic publications and highlight the need for further research on AI-MC's limitations and implications across diverse languages and cultures.
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Bryce Petofi Towne (2024) studied this question.
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