Facebook的信息流算法如何影响儿童对疫苗的犹豫:算法公平、问责和透明度(FAT)的视角

Eduardo D. Villacis Calderon , Tabitha L. James , Paul Benjamin Lowry
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引用次数: 1

摘要

疫苗犹豫是指在有疫苗时延迟或拒绝接种疫苗。在过去十年中,许多报告表明,社交媒体上关于疫苗的虚假信息和错误信息的扩散加剧了疫苗犹豫问题。在社交媒体上获取疫苗信息被认为是疫苗可预防疾病(如麻疹)重新出现的部分原因。尽管有研究调查了社交媒体上的错误信息,包括与疫苗有关的信息,但决定社交媒体用户看到内容的新闻源算法在文献中受到的关注很少。我们研究了人们对Facebook新闻推送算法的公平性、问责性和透明度(FAT)的看法如何影响他们为孩子接种疫苗的意愿。我们发现,人们对Facebook新闻feed算法的FAT的看法增加了他们对疫苗接种(公平性和透明度)的负面态度。然而,它们降低了用户对Facebook反疫苗规范(公平、问责制和透明度)的看法。对疫苗接种的消极态度降低了接种疫苗的意愿,对Facebook反疫苗接种规范的看法也是如此。我们的研究结果表明,为了降低疫苗dis(错误)信息的有效性,教育公众关于社交媒体新闻源算法如何做出内容显示决定至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Facebook's newsfeed algorithm shapes childhood vaccine hesitancy: An algorithmic fairness, accountability, and transparency (FAT) perspective

Vaccine hesitancy is the delay or refusal of vaccination when vaccines are available. Over the last decade, many reports have suggested that the proliferation of vaccine disinformation and misinformation on social media has aggravated the vaccine-hesitancy problem. Access to vaccine dis(mis)information on social media is deemed partly responsible for the resurfacing of vaccine-preventable diseases (e.g., measles). Although studies have examined social media dis(mis)information, including that related to vaccines, the newsfeed algorithm, which determines the content social media users see, has received scant attention in the literature. We examine how people's perceptions of the fairness, accountability, and transparency (FAT) of the Facebook newsfeed algorithm influence their intention to vaccinate their children. We find that people's perceptions of the Facebook newsfeed algorithm's FAT increase their negative attitudes toward vaccination (fairness and transparency). However, they decrease users' perceptions of antivaccination norms on Facebook (fairness, accountability, and transparency). Negative attitudes toward vaccination decrease the intention to vaccinate, as do perceptions of Facebook antivaccination norms. Our findings demonstrate that to decrease the effectiveness of vaccine dis(mis)information, it is critical to educate the public about how social media newsfeed algorithms make content-display decisions.

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来源期刊
Data and information management
Data and information management Management Information Systems, Library and Information Sciences
CiteScore
3.70
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55 days
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