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
相关论文
共 50 条
  • [21] Visual cross-platform analysis: digital methods to research social media images
    Pearce, Warren
    Ozkula, Suay M.
    Greene, Amanda K.
    Teeling, Lauren
    Bansard, Jennifer S.
    Omena, Janna Joceli
    Rabello, Elaine Teixeira
    [J]. INFORMATION COMMUNICATION & SOCIETY, 2020, 23 (02) : 161 - 180
  • [22] Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks
    Zhou, Xiaoping
    Liang, Xun
    Zhang, Haiyan
    Ma, Yuefeng
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 28 (02) : 411 - 424
  • [23] Convergence or divergence? A cross-platform analysis of climate change visual content categories, features, and social media engagement on Twitter and Instagram
    Qian, Sijia
    Lu, Yingdan
    Peng, Yilang
    Shen, Cuihua
    Xu, Huacen
    [J]. PUBLIC RELATIONS REVIEW, 2024, 50 (02)
  • [24] A Methodology for Cross-Platform, Event-Driven Big Data Analytics-as-a-Service
    Ardagna, Claudio A.
    Bellandi, Valerio
    Ceravolo, Paolo
    Damiani, Ernesto
    Finazzo, Rino
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 3440 - 3448
  • [25] A Cross-Platform Collection of Social Network Profiles
    Veiga, Maria Han
    Eickhoff, Carsten
    [J]. SIGIR'16: PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2016, : 665 - 668
  • [26] A Comment on "Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks"
    Li, Yongjun
    Su, Zhaoting
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2018, 30 (07) : 1409 - 1410
  • [27] Attitudes toward COVID-19 Vaccination on Social Media: A Cross-Platform Analysis
    Wawrzuta, Dominik
    Klejdysz, Justyna
    Jaworski, Mariusz
    Gotlib, Joanna
    Panczyk, Mariusz
    [J]. VACCINES, 2022, 10 (08)
  • [28] Cross-Platform News Media Repertoires and Their Political Implications
    Kim, Su Jung
    Schwarze, Lena-Maria
    [J]. INTERNATIONAL JOURNAL OF COMMUNICATION, 2021, 15 : 4619 - 4638
  • [29] A Cross-platform Metaverse Data Management System
    Chen, Bohan
    Song, Chengxin
    Lin, Boyu
    Xu, Xin
    Tang, Ruoyan
    Lin, Yunxuan
    Yao, Yuan
    Timoney, Joseph
    Bi, Ting
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON METROLOGY FOR EXTENDED REALITY, ARTIFICIAL INTELLIGENCE AND NEURAL ENGINEERING (METROXRAINE), 2022, : 145 - 150
  • [30] Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms
    Bogaert, Matthias
    Ballings, Michel
    Van den Poel, Dirk
    Oztekin, Asil
    [J]. DECISION SUPPORT SYSTEMS, 2021, 147