Journal article
Remediation, convergence, and big data: Conceptual limits of cross-platform social media
Convergence (London, England), v 23(5), pp 512-527
01 Oct 2017
Abstract
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.
Metrics
Details
- Title
- Remediation, convergence, and big data: Conceptual limits of cross-platform social media
- Creators
- Asta Zelenkauskaite - Drexel University
- Publication Details
- Convergence (London, England), v 23(5), pp 512-527
- Publisher
- Sage
- Number of pages
- 16
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Communication
- Web of Science ID
- WOS:000418513000004
- Scopus ID
- 2-s2.0-85029646892
- Other Identifier
- 991019168581004721
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Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Communication