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In data we (don’t) trust : the public adrift in data-driven public opinion models
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Splichal, Slavko
(
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)
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https://journals.sagepub.com/doi/10.1177/20539517221097319
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Abstract
This article seeks to address current debates comparing polls and opinion mining as empirically based figuration models of public opinion in the light of in-depth intellectual debates on the role and nature of public opinion that began after the French Revolution and the controversy over public opinion spurred by the invention of polls. Issues of historical quantification and re-conceptualisation of public opinion are addressed in four parts. The first summarises the history of the rise and fall of the concept of public opinion. The second re-examines the key controversies in the debates on the theoretical, empirical and social implications and consequences of the invention of polling. The third part scrutinises the datafication of public opinion that started with polling industry and continues in the age of big data and data mining. The final section discusses the controversial potentials of opinion-mining technology and suggests ways in which social scientists could critically respond to the big data and opinion-mining challenges in order to reintegrate the ideas of publicness, the public and public sphere into public opinion research.
Language:
English
Keywords:
datafication
,
opinion polling
,
opinion mining
,
publicworthiness
,
the public
,
public opinion
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FDV - Faculty of Social Sciences
Publication status:
Published
Publication version:
Version of Record
Year:
2022
Number of pages:
13 str.
Numbering:
Vol. 9, iss. 1
PID:
20.500.12556/RUL-136622
UDC:
316.653:004.8
ISSN on article:
2053-9517
DOI:
10.1177/20539517221097319
COBISS.SI-ID:
107524867
Publication date in RUL:
12.05.2022
Views:
657
Downloads:
182
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Record is a part of a journal
Title:
Big data & society
Publisher:
SAGE
ISSN:
2053-9517
COBISS.SI-ID:
524621849
Licences
License:
CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:
http://creativecommons.org/licenses/by-nc/4.0/
Description:
A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Secondary language
Language:
Slovenian
Keywords:
javno mnenje
,
javnomnenjske raziskave
,
podatkovno rudarjenje
,
masovni podatki
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P5-0051
Name:
Množični mediji, javna sfera in družbene spremembe
Funder:
ARRS - Slovenian Research Agency
Project number:
N5-0086
Name:
Novi načini in globalni vzorci (re)produkcije spletnih novic
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