Remediation, convergence, and big data: Conceptual limits of cross-platform social media

被引:8
|
作者
Zelenkauskaite, Asta [1 ]
机构
[1] Drexel Univ, Commun, Philadelphia, PA 19104 USA
关键词
Audience autonomy; big data; convergence; data architecture; digitalization; media logic; remediation; social media; social responsibility; SCIENCE; PARTICIPATION; AGENCY; USERS;
D O I
10.1177/1354856516631519
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
The era of multiplatform media and big data provide new opportunities to reconsider data access by media companies. Outlined here is the discussion surrounding data access from media institutional logic and user-centric perspectives in the contexts of digitalization and big data. The discussion includes technological affordances that can be geared toward users or that merely reinforce media companies' prominence. However, limitations of information architecture lie in its structure and the inability to facilitate navigation by users across multiple content streams. Media companies concentrate access around their own cross-platform content. Despite technological feasibility, media companies continue to choose cross-platform architecture that is structurally limiting to users. Cross-platform conceptual limits are discussed within the context of the broader socioeconomic landscape of mass media digitalization and big data.
引用
收藏
页码:512 / 527
页数:16
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