Data campaigning: Between empirics and assumptions

41Citations
Citations of this article
61Readers
Mendeley users who have this article in their library.

Abstract

The use of big data in political campaigns extends far beyond micro-targeting, and has been singled out by journalists and campaign staffers alike as a powerful force that is integral to electoral victory. Current scholarship on the subject remains more mixed, however. This article provides an overview of what we know (and don’t yet know) about the effects of data-campaigning across various goals of political campaigns, alongside more public facing narratives that present data campaigning as an all-powerful tactic, highlighting the gap between these two views.

References Powered by Scopus

Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon

3993Citations
N/AReaders
Get full text

The effects of negative political campaigns: A meta-analytic reassessment

476Citations
N/AReaders
Get full text

Emotions, Partisanship, and Misperceptions: How Anger and Anxiety Moderate the Effect of Partisan Bias on Susceptibility to Political Misinformation

324Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Do (Microtargeted) Deepfakes Have Real Effects on Political Attitudes?

121Citations
N/AReaders
Get full text

Data-driven campaigning and democratic disruption: Evidence from six advanced democracies

36Citations
N/AReaders
Get full text

Data-driven elections: Implications and challenges for democratic societies

36Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Baldwin-Philippi, J. (2019). Data campaigning: Between empirics and assumptions. Internet Policy Review, 8(4). https://doi.org/10.14763/2019.4.1437

Readers over time

‘20‘21‘22‘23‘24‘2507142128

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 23

62%

Lecturer / Post doc 6

16%

Researcher 6

16%

Professor / Associate Prof. 2

5%

Readers' Discipline

Tooltip

Social Sciences 28

82%

Philosophy 2

6%

Arts and Humanities 2

6%

Psychology 2

6%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 15

Save time finding and organizing research with Mendeley

Sign up for free
0