When the Algorithm Understands You (or Doesn’t): LGBTQ+ Youth’s Identity-Related Interactions with Algorithmic Media

IF 4.9 1区文学 Q1 COMMUNICATION

Communication Research Pub Date : 2026-06-13 DOI:10.1177/00936502261459750

Y. Anthony Chen, Samuel Hardman Taylor

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引用次数: 0

Abstract

During their daily media use, youth interact with algorithms. Drawing on the algorithm responsiveness process framework, this paper examines the co-construction of identity between youth and algorithmic media, focusing on perceived algorithm responsiveness (PAR), perceived algorithm insensitivity (PAI), and algorithm training as sociotechnical processes that structure how LGBTQ+ youth perceive themselves. Study 1 ( N = 335), using six weekly diaries among LGBTQ+ youth, showed that affirming LGBTQ+ representations curated by algorithms predicted higher PAR and lower PAI, especially when less algorithm training was needed. In turn, higher PAR and, unexpectedly, higher PAI predicted greater identity pride. Study 2 ( N = 664), a cross-sectional survey, found that LGBTQ+ youth reported lower PAR than non-LGBTQ+ youth. An indirect effect of algorithm training on self-concept clarity via PAR emerged for non-LGBTQ+ participants but not for LGBTQ+ participants. These findings highlight social identity in algorithmic media as a relational, dynamic process, and LGBTQ+ youth can shape content recommendations for identity-related needs.

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当算法理解你（或不理解你）：LGBTQ+青年与算法媒体的身份相关互动

在日常媒体使用中，年轻人与算法互动。在算法响应过程框架的基础上，本文考察了青年与算法媒体之间身份的共同建构，重点关注算法响应感知（PAR）、算法不敏感感知（PAI）和算法训练作为构建LGBTQ+青年如何感知自己的社会技术过程。研究1 （N = 335）使用了6份LGBTQ+青年的每周日记，结果表明，通过算法确定LGBTQ+代表可以预测更高的PAR和更低的PAI，尤其是在需要较少算法训练的情况下。反过来，更高的PAR和更高的PAI出人意料地预示着更强的身份自豪感。研究2 （N = 664）是一项横断面调查，发现LGBTQ+青年报告的PAR低于非LGBTQ+青年。算法训练通过PAR对非LGBTQ+参与者的自我概念清晰度有间接影响，而对LGBTQ+参与者没有间接影响。这些发现强调了算法媒体中的社会认同是一个关系的、动态的过程，LGBTQ+青年可以塑造与身份相关需求的内容推荐。

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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来源期刊

Communication Research COMMUNICATION-

CiteScore

17.10

自引率

0.00%

发文量

期刊介绍： Empirical research in communication began in the 20th century, and there are more researchers pursuing answers to communication questions today than at any other time. The editorial goal of Communication Research is to offer a special opportunity for reflection and change in the new millennium. To qualify for publication, research should, first, be explicitly tied to some form of communication; second, be theoretically driven with results that inform theory; third, use the most rigorous empirical methods; and fourth, be directly linked to the most important problems and issues facing humankind. Critieria do not privilege any particular context; indeed, we believe that the key problems facing humankind occur in close relationships, groups, organiations, and cultures.