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Who Should Talk About Mental Health on Instagram? Credibility Signals and Engagement Dynamics

2026-08-15 · Journal of the Association for Information Systems

One-line summary

An AI research paper on Who Should Talk About Mental Health on Instagram? Credibility Signals and Engagement Dynamics.

Engineering notes

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Chinese explanation / 中文解读

中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

Mental health advocacy is becoming widespread and influential, especially in the era of excessive use of social media platforms. Although many studies examine the involved issues, few take a multidimensional view linking the expertise–authenticity tension with engagement metrics. This paper examines a central tension in Instagram mental health advocacy: credibility versus relatability and how this trade-off shapes user engagement. While prior research has studied influencer credibility, branded content, and mental health messaging, it has rarely systematically compared licensed vs. unlicensed advocates alongside branded vs. non-branded framing using large-scale, post-level evidence. To address this gap, we analyze posts from 41 verified Instagram accounts (May 2025–May 2026). Using Natural Language Processing (NLP) and Top2Vec topic modeling, we identify dominant mental health themes and examine associations with engagement outcomes (likes, comments, and views). This study offers a comparative, data-driven account of how credibility and relatability operate as parallel pathways to engagement.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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