Social Science

    

Exploring the Impact of Artificial Intelligence-Mediated Communication on Bias and Information Loss in Non-academic and Academic Writing Contexts

Authors: Bryce Petofi Towne

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.

Comments: 54 Pages.

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Submission history

[v1] 2024-03-21 20:23:31
[v2] 2024-04-07 11:48:06
[v3] 2024-07-18 03:17:22

Unique-IP document downloads: 815 times

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