Experiencing Algorithms: How Young People Understand, Feel About, and Engage With Algorithmic News Selection on Social Media
Experiencing Algorithms: How Young People Understand, Feel About, and Engage With Algorithmic News Selection on Social Media
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体验算法：年轻人如何理解、感受和参与社交媒体上的算法新闻选择
DOI：
10.1177/20563051211008828
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发表时间：
2021
影响因子：
5.2
通讯作者：
Joëlle Swart
中科院分区：
文献类型：
--
作者：
Joëlle Swart
年轻人消费的新闻越来越多地受到算法策展的影响。然而，尽管许多研究探讨了算法如何在公民的日常生活中发挥作用，但人们对年轻人自己如何感知、学习和处理新闻个性化知之甚少。从以用户为中心的角度考虑算法与用户之间的互动，本文探讨了年轻人如何理解、感受和参与社交媒体上的算法新闻策划，以及这些日常经验何时有助于他们的算法素养。通过对22名年龄在16-26岁之间的年轻人进行深入访谈，结合走查法和有声思维协议，它解决了目前研究算法素养的三个方法学挑战：首先，缺乏关于算法如何运作的既定基线;其次，日常媒体使用中算法的不透明性;第三，技术词汇的局限性阻碍了年轻人表达他们的算法遭遇。研究发现，用户对算法的感知策略是特定于上下文的，由期望违反和明确的个性化线索触发。然而，年轻人对新闻个性化的直觉和基于经验的见解并不能自动使年轻人能够用语言表达这些，也不一定会刺激用户干预算法决策。
The news that young people consume is increasingly subject to algorithmic curation. Yet, while numerous studies explore how algorithms exert power in citizens’ everyday life, little is known about how young people themselves perceive, learn about, and deal with news personalization. Considering the interactions between algorithms and users from an user-centric perspective, this article explores how young people make sense of, feel about, and engage with algorithmic news curation on social media and when such everyday experiences contribute to their algorithmic literacy. Employing in-depth interviews in combination with the walk-through method and think-aloud protocols with a diverse group of 22 young people aged 16–26 years, it addresses three current methodological challenges to studying algorithmic literacy: first, the lack of an established baseline about how algorithms operate; second, the opacity of algorithms within everyday media use; and third, limitations in technological vocabularies that hinder young people in articulating their algorithmic encounters. It finds that users’ sense-making strategies of algorithms are context-specific, triggered by expectancy violations and explicit personalization cues. However, young people’s intuitive and experience-based insights into news personalization do not automatically enable young people to verbalize these, nor does having knowledge about algorithms necessarily stimulate users to intervene in algorithmic decisions.
DOI：
10.1177/0038038516674675
发表时间：
2018-08-01
影响因子：
2.9
作者：
Kennedy, Helen;Hill, Rosemary Lucy
通讯作者：
Hill, Rosemary Lucy