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测试社交媒体上电子烟赞助的潜在披露内容。

Testing potential disclosures for e-cigarette sponsorship on social media.

机构信息

Ohio State University College of Public Health, 1841 Neil Avenue, Columbus, OH 43214, USA.

Truth Initiative, 900 G Street NW, Washington, DC 20001, USA.

出版信息

Addict Behav. 2022 Feb;125:107146. doi: 10.1016/j.addbeh.2021.107146. Epub 2021 Oct 11.

DOI:10.1016/j.addbeh.2021.107146
PMID:34688982
Abstract

OBJECTIVES

Few e-cigarette social media posts are authentic posts to friends; most come from commercially sponsored influencers. Potential disclosure strategies need to be tested to confirm whether users recognize such posts as commercially sponsored.

METHODS

Between July - August 2019, young adult (ages 16-24; n = 200) participants were recruited to view their native Instagram feed on a laboratory mobile device. Posts from e-cigarette influencers were manipulated to add either #ad or #sponsored while eye tracking software measured visual attention. Participants self-reported their interpretation of the hashtags in open-ended responses. Logistic regression analyses compared recognition of commercial content by condition, and qualitative content analyses summarized the key themes related to the hashtags.

RESULTS

The #ad condition had nearly twice the odds of commercial recognition compared to #sponsored (OR = 1.98, CI: 1.14-3.38). Every second of attention paid to the hashtag significantly increased the odds of commercial recognition by 22% (OR: 1.22, CI: 1.00-1.33).

CONCLUSION

The #ad disclosure attracted visual attention and significantly increased recognition of commercial sponsorship from young social media users. Labeling commercially sponsored content on social media is a promising strategy to better inform users about paid social media influence.

摘要

目的

电子烟社交媒体帖子中,真正面向朋友的帖子很少;大多数帖子来自商业赞助的网红。需要对潜在的披露策略进行测试,以确认用户是否能识别此类商业赞助的帖子。

方法

在 2019 年 7 月至 8 月期间,招募了年龄在 16 至 24 岁之间的青年参与者,让他们在实验室的移动设备上查看他们的原生 Instagram 信息流。操纵电子烟网红发布的帖子,在添加#ad 或#sponsored 的同时使用眼动追踪软件测量视觉注意力。参与者通过开放式回答来报告他们对这些标签的解释。逻辑回归分析比较了不同条件下对商业内容的识别,并对与标签相关的关键主题进行了定性内容分析。

结果

与#sponsored 相比,#ad 条件下商业识别的可能性几乎高出两倍(OR=1.98,CI:1.14-3.38)。对标签的每一秒注视都显著增加了 22%的商业识别可能性(OR:1.22,CI:1.00-1.33)。

结论

#ad 披露吸引了视觉注意力,并显著提高了年轻社交媒体用户对商业赞助的识别度。在社交媒体上对商业赞助内容进行标记是一种很有前途的策略,可以让用户更好地了解付费社交媒体的影响力。

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