描绘多样性：Netflix的包容性策略和Netflix推荐算法（NRA）

IF 2.4 2区文学 Q1 COMMUNICATION

Television & New Media Pub Date : 2022-06-09 DOI:10.1177/15274764221102864

Olivia Khoo

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引用次数: 7

摘要

这篇文章提出了两个相关的问题：流媒体服务（尤其是Netflix）的独特之处在于，它对内容的多样性产生了更大的投资，以及与流媒体相关的技术，特别是算法推荐系统，如何促进多样性和包容性的参与？为了回答这些问题，本文考虑了Netflix的包容性策略、推荐算法和内容多样性之间的关系，探索了Netflix向观众推荐内容的方式和（感知的）多样性之间存在的一系列复杂关系。

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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Picturing Diversity: Netflix’s Inclusion Strategy and the Netflix Recommender Algorithm (NRA)

This essay asks two related questions: what is unique about streaming services (and Netflix specifically), that generates a greater investment in the diversity of its content, and how does the technology associated with streaming, in particular algorithmic recommendation systems, facilitate an engagement with diversity and inclusion? To answer these questions the essay considers the relationship between Netflix’s Inclusion Strategy, its Recommender Algorithm, and the diversity of its content, exploring the complex set of relations that exist between the way Netflix recommends content to its audience and its (perceived) diversity.

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来源期刊

Television & New Media Multiple-

CiteScore

5.60

自引率

5.00%

发文量

期刊介绍： Television & New Media explores the field of television studies, focusing on audience ethnography, public policy, political economy, cultural history, and textual analysis. Special topics covered include digitalization, active audiences, cable and satellite issues, pedagogy, interdisciplinary matters, and globalization, as well as race, gender, and class issues.