回顾脸书对公民参与的影响:算法策展和平台可供性的中介作用

IF 1.8 Q2 COMMUNICATION COMMUNICATION REVIEW Pub Date : 2023-03-06 DOI:10.1080/10714421.2023.2186680
Venetia Papa, Nikandros Ioannides
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引用次数: 0

摘要

摘要数据化改变了我们社会在政治和文化领域的变量。在这项研究中,我们认为平台可供性和算法策展可以通过过滤和分类用户的在线政治内容来影响用户的公民参与。来自不同学科的学者——其中包括传播学、计算研究和政治学——正在研究不同的概念,以理解这种影响。我们已经知道的是,用户的公民参与通常一方面由算法策展来中介,另一方面由平台的内置逻辑(通常被称为可供性机制)来中介。该领域很少有作品指出算法个性化在公民参与中的重要性。仍然困扰这项研究的一个问题是,脸书对公民参与的影响是如何通过算法管理和平台可供性来调节的。本文回应了这一需求,将现有的学术定位在一个共同的概念框架内,以算法策展、公民参与和平台可供性为起点。这提供了一个逻辑结构,有助于概念和学科之间的联系,否则在跨学科的基础上可能很难辨别。
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Reviewing the impact of Facebook on civic participation: The mediating role of algorithmic curation and platform affordances
ABSTRACT Datafication changes variables of our society within the political and cultural realms. In this study, we argue that platform affordances and algorithmic curation can impact users’ civic participation through filtering and classifying users’ online political content. Scholars from various disciplines – among them communication, computational studies, and political science – are working on different concepts in order to understand such effects. What we already know is that users’ civic participation is often mediated by algorithmic curation on the one hand, and by the platform’s built-in logic – often referred as mechanisms of affordances – on the other. Few works are cited across the field pointing out the significance of algorithmic personalization in the making of civic participation. One question that still plagues the research is how the impact of Facebook on civic participation is mediated by algorithmic curation and platform affordances. This paper responds to this need by locating existing scholarship within a common conceptual framework using as a starting point: algorithmic curation, civic participation, and platform affordances. This provides a logical structure that facilitates connections between concepts and disciplines that might otherwise be difficult to discern on an interdisciplinary basis.
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来源期刊
COMMUNICATION REVIEW
COMMUNICATION REVIEW COMMUNICATION-
CiteScore
3.40
自引率
5.30%
发文量
14
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