Just what is data-driven campaigning? A systematic review

被引:8
|
作者
Dommett, Katharine [1 ]
Barclay, Andrew [1 ,3 ]
Gibson, Rachel [2 ]
机构
[1] Univ Sheffield, Dept Polit & Int Relat, Sheffield, England
[2] Univ Manchester, Sch Social Sci, Dept Polit, Manchester, England
[3] Univ Sheffield, Dept Polit & Int Relat, Sheffield S10 2TU, Yorks, England
基金
欧盟地平线“2020”;
关键词
Systematic review; data-driven campaigns; elections; political campaigning; definition; PRESIDENTIAL POLITICS; SEGMENTATION; DATABASES; FACEBOOK; PRIVACY;
D O I
10.1080/1369118X.2023.2166794
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Discussions of data-driven campaigning have gained increased prominence in recent years. Often associated with the practices of Cambridge Analytica and linked to debates about the health of modern democracy, scholars have devoted considerable attention to the rise of data-driven politics. However, most studies to date have focused solely on practice in the US, and few scholars have made efforts to define the precise meaning of 'data-driven campaigning'. With growing recognition that data-driven campaigning can take different forms dependent on context and available resource, new questions have emerged as to exactly what features are indicative of this phenomena. In this piece we systematically review existing discussions of data-driven campaigning to unpack the components of this idea. Identifying areas of convergence and divergence in existing discussions of 'data', 'driven', and 'campaigning', we classify existing debate to highlight integral features and variable practices. This article accordingly provides the first comprehensive definition of data-driven campaigning, and aims to facilitate international study of this activity.
引用
收藏
页码:1 / 22
页数:22
相关论文
共 50 条
  • [1] The Myths of Data-Driven Campaigning
    Baldwin-Philippi, Jessica
    [J]. POLITICAL COMMUNICATION, 2017, 34 (04) : 627 - 633
  • [2] Data-Driven Campaigning as a Disruptive Force
    Gibson, Rachel
    [J]. POLITICAL COMMUNICATION, 2023, 40 (03) : 351 - 355
  • [3] Data-Driven Requirements Elicitation: A Systematic Literature Review
    Lim S.
    Henriksson A.
    Zdravkovic J.
    [J]. SN Computer Science, 2021, 2 (1)
  • [4] Data-Driven Campaigning in the 2015 United Kingdom General Election
    Anstead, Nick
    [J]. INTERNATIONAL JOURNAL OF PRESS-POLITICS, 2017, 22 (03): : 294 - 313
  • [5] Data-Driven Innovation: What is it?
    Luo, Jianxi
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2023, 70 (02) : 784 - 790
  • [6] Just data? Solidarity and justice in data-driven medicine
    Hummel, Patrik
    Braun, Matthias
    [J]. LIFE SCIENCES SOCIETY AND POLICY, 2020, 16 (01)
  • [7] Data-driven subtypes of major depressive disorder: a systematic review
    van Loo, Hanna M.
    de Jonge, Peter
    Romeijn, Jan-Willem
    Kessler, Ronald C.
    Schoevers, Robert A.
    [J]. BMC MEDICINE, 2012, 10
  • [8] Data-driven subtypes of major depressive disorder: a systematic review
    Hanna M van Loo
    Peter de Jonge
    Jan-Willem Romeijn
    Ronald C Kessler
    Robert A Schoevers
    [J]. BMC Medicine, 10
  • [9] Toward Data-Driven Optimal Control: A Systematic Review of the Landscape
    Prag, Krupa
    Woolway, Matthew
    Celik, Turgay
    [J]. IEEE ACCESS, 2022, 10 : 32190 - 32212
  • [10] Data-Driven Solutions for the Newsvendor Problem: A Systematic Literature Review
    Moraes, Thais de Castro
    Yuan, Xue-Ming
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT IV, 2021, 633 : 149 - 158