Promotion of an Algorithm-Based Tool for Pregnancy Prevention by Instagram Influencers

影响力营销 社会营销 社会化媒体 晋升(国际象棋) 生育率 怀孕 医学 医学教育 心理学 计算机科学 营销 业务 环境卫生 政治学 关系营销 人口 法学 市场营销管理 万维网 政治 生物 遗传学
作者
Linnea Laestadius,Kelsey Van Hoorn,Megan M. Wahl,Alice Witt,Kellie E. Carlyle,Jeanine P.D. Guidry
出处
期刊:Journal of Womens Health [Mary Ann Liebert]
卷期号:33 (2): 141-151 被引量:1
标识
DOI:10.1089/jwh.2023.0251
摘要

Objective: Despite growing concerns that some digital algorithm-reliant fertility awareness-based methods of pregnancy prevention are marketed in an inaccurate, opaque, and potentially harmful manner online, there has been limited systematic examination of such marketing practices. This article therefore provides an empirical examination of how social media influencers have promoted the fertility tracking tool Daysy on Instagram. We investigate: (1) how the tool is framed in relation to pregnancy prevention using Health Belief Model (HBM) constructs, and (2) the promotional and disclosure practices adopted by influencers. Materials and Methods: We collected Instagram posts mentioning Daysy made between June 2018 and May 2022 using the tool CrowdTangle. Using a qualitative content analysis approach, we coded a random sample of 400 Daysy posts. This yielded 122 Instagram influencer posts promoting Daysy for pregnancy prevention that we coded for promotional content and HBM constructs. Results: Posts originated primarily from Europe (n = 62, 50.82%) and the United States (n = 37, 30.33%). Findings indicate that barriers to use (n = 18, 15.57%) and the severity of risks from unplanned pregnancy (n = 8, 6.56%) were rarely conveyed, whereas benefits of use (n = 122, 100%) and the severity of risks of hormonal contraception (n = 31, 25.41%) were covered more extensively. Only about one third of posts disclosed any formal relationship to the brand Daysy. Conclusions: With many posts emphasizing benefits and obscuring potential limitations, we argue that accurate and transparent information about the effectiveness and limitations of fertility tracking technologies is critical for supporting informed decision-making and, as such, should remain a public health priority.
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