A Political Science Perspective on Fake News

Muiris MacCarthaigh; Connel McKeown

doi:10.1007/978-3-030-62696-9

A Political Science Perspective on Fake News

Muiris MacCarthaigh, Connel McKeown

School of History, Anthropology, Philosophy and Politics

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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Abstract

Contemporary concerns about ‘fake news’ are typically framed around the need for factual accuracy, accountability and transparency in public life at both national and international levels. These are long-standing concerns within political science but the problem of ‘fake news’ and its associated impact on the fundamental political questions about who governs and how have taken on new potency in the digital age. In this chapter, we begin by considering what is meant by fake news before examining the issue in historical political context. The chapter then turns to more recent manifestations of fake news and the real-world challenges it presents. A final section considers how fake news has attracted interest in the study of elections and voting behaviour, international relations and strategic narratives, and transparency and trust in government.

Original language	English
Title of host publication	Data Science for Fake News
Subtitle of host publication	Surveys and Perspectives
Editors	Tanmoy Chakraborty, Santhosh Kumar, Cheng Long, Deepak Padmanabhan
Publisher	Springer
Pages	233-243
Number of pages	11
Volume	42
ISBN (Electronic)	978-3-030-62696-9
ISBN (Print)	978-3-030-62695-2
DOIs	https://doi.org/10.1007/978-3-030-62696-9
Publication status	Published - 30 Apr 2021

Publication series

Name	The Information Retrieval Series
Publisher	Springer

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A Political Science Perspective on Fake News
Copyright 2020 Springer. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 274 KBLicence: Unspecified

Does open data increase government accountability?
McKeown, C. (Author), MacCarthaigh, M. (Supervisor) & Padmanabhan, D. (Supervisor), Dec 2020
Student thesis: Doctoral Thesis › Doctor of Philosophy

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A Political Science Perspective on Fake News. / MacCarthaigh, Muiris; McKeown, Connel.
Data Science for Fake News: Surveys and Perspectives. ed. / Tanmoy Chakraborty; Santhosh Kumar; Cheng Long; Deepak Padmanabhan. Vol. 42 Springer, 2021. p. 233-243 (The Information Retrieval Series).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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A Political Science Perspective on Fake News

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Student theses

Does open data increase government accountability?

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