Messaging and Information in Mental Health Communication on Social Media: Computational and Quantitative Analysis.

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR infodemiology Pub Date : 2025-07-03 DOI:10.2196/48230
Rebecca K Ivic, Amy Ritchart, Shaheen Kanthawala, Heather J Carmack
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引用次数: 0

Abstract

Background: Mental health organizations have the vital and difficult task of shaping public discourse and providing important information. Social media platforms such as X (formerly known as Twitter) serve as such communication channels, and analyzing organizational health information offers valuable insights into their guidance and linguistic patterns, which can enhance communication strategies for health campaigns and interventions. The findings inform strategies to enhance public engagement, trust, and the effectiveness of mental health messaging.

Objective: This study examines the predominant themes and linguistic characteristics of messages from mental health organizations, focusing on how these messages' structure information, engage audiences, and contribute to public information and discourse on mental health.

Methods: A computational content analysis was conducted to identify thematic clusters within messages from 17 unique mental health organizations, totaling 326,967 tweets and approximately 7.2 million words. In addition, Linguistic Inquiry and Word Count (LIWC) was used to analyze affective, social, and cognitive processes in messages with positive versus negative sentiment. Differences in sentiment were assessed using a Mann-Whitney U test.

Results: The analysis revealed that organizations predominantly emphasize themes related to community, well-being, and workplace mental health. Sentiment analysis indicated significant differences in affect (P<.001), social processes (P<.001), and cognitive processing (P<.001) between positive and negative messages, with effect sizes that were small to medium. Notably, while messages frequently conveyed positive sentiment and social engagement, there was a lower emphasis on cognitive processing, suggesting that more complex discussions about mental health challenges may be underrepresented.

Conclusions: Organizations use social media to promote engagement and support, often through positively valanced messages. Yet the limited emphasis on cognitive processing may indicate a gap in how organizations address more nuanced or complex mental health issues. Findings demonstrate the need for communication strategies that balance information with depth and clarity, ensuring that messages are trustworthy, actionable, and responsive to multiple mental health needs. By refining digital messaging strategies, organizations can enhance the effectiveness of health communication and improve engagement with mental health resources.

社交媒体上心理健康传播的信息和信息:计算和定量分析。
背景:精神卫生组织在塑造公众话语和提供重要信息方面具有重要而艰巨的任务。X(以前称为Twitter)等社交媒体平台就是这样的沟通渠道,对组织卫生信息的分析为其指导和语言模式提供了有价值的见解,可以加强卫生运动和干预措施的沟通策略。调查结果为加强公众参与、信任和精神卫生信息有效性的战略提供了信息。目的:本研究考察了心理健康组织信息的主要主题和语言特征,重点研究了这些信息如何构建信息,吸引受众,并为心理健康的公共信息和话语做出贡献。方法:进行计算内容分析,以确定来自17个独特的心理健康组织的消息中的主题集群,总计326,967条推文,约720万字。此外,使用语言探究和字数统计(LIWC)分析了积极和消极情绪信息的情感、社会和认知过程。情绪差异采用曼-惠特尼U测试进行评估。结果:分析显示,组织主要强调与社区、福祉和工作场所心理健康相关的主题。情感分析显示了显著的影响差异(p结论:组织使用社交媒体来促进参与和支持,通常是通过积极的信息。然而,对认知过程的有限重视可能表明,组织在如何解决更细微或更复杂的心理健康问题方面存在差距。调查结果表明,需要制定沟通策略,在信息的深度和清晰度之间取得平衡,确保信息可信、可操作,并对多种心理健康需求作出反应。通过改进数字信息策略,组织可以提高健康沟通的有效性,并改善与心理健康资源的接触。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.80
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