Social media, context collapse and the future of data-driven populism

被引:12
|
作者
Guerrero-Sole, Frederic [1 ]
Suarez-Gonzalo, Sara [1 ]
Rovira, Cristofol [1 ,2 ]
Codina, Lluis [1 ,2 ]
机构
[1] Univ Pompeu Fabra, Dept Comun, Roc Boronat 138, Barcelona 08018, Spain
[2] UPF Barcelona, Sch Management, Balmes 134, Barcelona 08008, Spain
来源
PROFESIONAL DE LA INFORMACION | 2020年 / 29卷 / 05期
关键词
Social media; Computational politics; Populism; Populist communication; Context collapse; Datafication; Microtargeting; Big data; Political communication; POLITICAL COMMUNICATION STYLE; TWITTER; FACEBOOK; PARTIES; CAMPAIGNS; INTERNET; AUDIENCE; PRIVACY; LEADERS; TEXT;
D O I
10.3145/epi.2020.sep.06
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
During the last decades populism has become a mainstream ideology in Western democracies (Mudde, 2004; 2016). At the same time, the popularisation of digital platforms has facilitated the process of political communication while social networks have become one of the preferred communicative tools for political populists to spread their messages. Drawing on the idea that computational technologies allow a particular performance of populism (Baldwin-Philippi, 2019), this paper aims to foster a better theoretical understanding of how innovation in communication technologies contribute to the success of populism. It is argued that the characteristics of populism (a focus on 'the people', technological savviness and chameleonism) allow it to overcome most of the obstacles put in place by digital networks. In particular, populism is in ideal situation to deal with the phenomena of context collapse in social media (Boyd; Marwick, 2011). Finally, it is argued that in the era of personalized politics (Bennett, 2012), populists can make use of real-time data-driven techniques to develop successful communicative strategies addressed to mass audiences in order to construct the populist self in the image and likeness of the people. This form of populism is called data-driven populism.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 50 条
  • [21] Moving back to the future of big data-driven research: reflecting on the social in genomics
    Goisauf, Melanie
    Akyuez, Kaya
    Martin, Gillian M.
    [J]. HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2020, 7 (01):
  • [22] Moving back to the future of big data-driven research: reflecting on the social in genomics
    Melanie Goisauf
    Kaya Akyüz
    Gillian M. Martin
    [J]. Humanities and Social Sciences Communications, 7
  • [23] The automated collapse data constructor technique and the data-driven methodology for seismic collapse risk assessment
    Bijelic, Nenad
    Lignos, Dimitrios G.
    Alahi, Alexandre
    [J]. EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 2023, 52 (08): : 2452 - 2479
  • [24] Does context really collapse in social media interaction?
    Szabla, Malgorzata
    Blommaert, Jan
    [J]. APPLIED LINGUISTICS REVIEW, 2020, 11 (02) : 251 - 279
  • [25] Context Aware Data-Driven Retrosynthetic Analysis
    Nicolaou, Christos A.
    Watson, Ian A.
    LeMasters, Mark
    Masquelin, Thierry
    Wang, Jibo
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2020, 60 (06) : 2728 - 2738
  • [26] Data-driven modelling in the context of sediment transport
    Bhattacharya, B
    Price, RK
    Solomatine, DP
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2005, 30 (4-5) : 297 - 302
  • [27] Locative media and data-driven computing experiments
    Perng, Sung-Yueh
    Kitchin, Rob
    Evans, Leighton
    [J]. BIG DATA & SOCIETY, 2016, 3 (01): : 1 - 12
  • [28] On Data-Driven Delay Estimation for Media Cloud
    Zhou, Liang
    [J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 18 (05) : 905 - 915
  • [29] Exploring The Future of Data-Driven Product Design
    Gorkovenko, Katerina
    Burnett, Daniel J.
    Thorp, James K.
    Richards, Daniel
    Murray-Rust, Dave
    [J]. PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), 2020,
  • [30] Data-Driven Monitoring System for Preventing the Collapse of Scaffolding Structures
    Cho, Chunhee
    Kim, Kyungki
    Park, JeeWoong
    Cho, Yong K.
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2018, 144 (08)