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Introducing the sounds of data to the study of politics: a choir of global legitimacy crises

Angé, Hans and Sommerer, Thomas and Angeler, David (2020). Introducing the sounds of data to the study of politics: a choir of global legitimacy crises. New Political Science. 42 , 272-288
[Research article]

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Abstract

This article introduces an innovative method to describe data with sounds in political science. The method, known in ecology, physics, and musicology as “sonification,” operates by linking sound signals to quantifiable observations. We us it to compose a choir of legitimacy crises in global governance from 1994 to 2014, and to negotiate a familiar divide in research on how legitimacy should be measured. Scholars predominantly prefer one of two approaches to measure legitimacy quantitatively, either looking at political trust or public contestation of political institutions. We illustrate the usefulness of sonification to subsume both positions in this divide. More generally, we argue that sonification can enhance public communication of scientific results and extract meanings from observations that go unnoticed in visual and verbal representations, in particular with relevance to describing time series data on anything from the spread of pandemics to violent conflicts and economic inequalities.

Authors/Creators:Angé, Hans and Sommerer, Thomas and Angeler, David
Title:Introducing the sounds of data to the study of politics: a choir of global legitimacy crises
Series Name/Journal:New Political Science
Year of publishing :2020
Volume:42
Page range:272-288
Number of Pages:17
ISSN:0739-3148
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 5 Social Sciences > 506 Political Science > Political Science (excluding Public Administration Studies and Globalisation Studies)
URN:NBN:urn:nbn:se:slu:epsilon-p-107385
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-107385
Additional ID:
Type of IDID
DOI10.1080/07393148.2020.1809760
ID Code:19120
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Aquatic Sciences and Assessment
Deposited By: SLUpub Connector
Deposited On:07 Dec 2020 17:23
Metadata Last Modified:15 Jan 2021 19:16

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