描述流行饮食的话语特征,以描述信息传播和识别心理健康的主要声音、互动和主题:社会网络分析。

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES JMIR infodemiology Pub Date : 2023-05-05 DOI:10.2196/38245
Melissa C Eaton, Yasmine C Probst, Marc A Smith
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引用次数: 0

摘要

背景:社交媒体改变了健康信息的传播方式。这带来了新的挑战和道德考虑,同时为社区提供了一个分享营养信息的平台,以便联系和传播信息。然而,探索基于网络的流行饮食社区的研究是有限的。目的:本研究旨在描述流行饮食的网络话语特征,描述信息传播,识别有影响力的声音,并探索社区网络与心理健康主题之间的相互作用。方法:本探索性研究使用Twitter社交媒体帖子进行在线社交网络分析。系统地开发流行饮食关键词,并使用NodeXL指标工具(社交媒体研究基金会)收集和分析数据,以确定关键网络指标(顶点、边、聚类算法、图形可视化、中心性度量、文本分析和时间序列分析)。结果:纯素和生酮饮食的网络最大,而区域饮食的网络最小。总共有31.2%(54/173)的顶级用户支持相应的饮食,11%(19/173)的用户声称接受过健康或科学教育,其中包括1.2%(2/173)的营养师。完全碎片化和集线器和辐射式消息传递是主要的网络结构。总的来说,69%(11/16)的网络相互作用,其中生酮饮食被提到最多,抑郁、焦虑和饮食失调的词语在“区域饮食”网络中最突出,在“无大豆”、“素食主义者”、“无乳制品”和“无麸质”饮食网络中最不突出。结论:社交媒体活动反映了饮食趋势,并为营养信息通过转发传播提供了平台。需要对流行饮食网络进行纵向探索,以进一步了解社交媒体对饮食选择的影响。社会媒体培训是至关重要的,营养专业人员必须作为一个社区共同努力,积极地在网络上分享基于证据的帖子。
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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Characterizing the Discourse of Popular Diets to Describe Information Dispersal and Identify Leading Voices, Interaction, and Themes of Mental Health: Social Network Analysis.

Background: Social media has transformed the way health messages are communicated. This has created new challenges and ethical considerations while providing a platform to share nutrition information for communities to connect and for information to spread. However, research exploring the web-based diet communities of popular diets is limited.

Objective: This study aims to characterize the web-based discourse of popular diets, describe information dissemination, identify influential voices, and explore interactions between community networks and themes of mental health.

Methods: This exploratory study used Twitter social media posts for an online social network analysis. Popular diet keywords were systematically developed, and data were collected and analyzed using the NodeXL metrics tool (Social Media Research Foundation) to determine the key network metrics (vertices, edges, cluster algorithms, graph visualization, centrality measures, text analysis, and time-series analytics).

Results: The vegan and ketogenic diets had the largest networks, whereas the zone diet had the smallest network. In total, 31.2% (54/173) of the top users endorsed the corresponding diet, and 11% (19/173) claimed a health or science education, which included 1.2% (2/173) of dietitians. Complete fragmentation and hub and spoke messaging were the dominant network structures. In total, 69% (11/16) of the networks interacted, where the ketogenic diet was mentioned most, with depression and anxiety and eating disorder words most prominent in the "zone diet" network and the least prominent in the "soy-free," "vegan," "dairy-free," and "gluten-free" diet networks.

Conclusions: Social media activity reflects diet trends and provides a platform for nutrition information to spread through resharing. A longitudinal exploration of popular diet networks is needed to further understand the impact social media can have on dietary choices. Social media training is vital, and nutrition professionals must work together as a community to actively reshare evidence-based posts on the web.

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