In data we (don't) trust
The public adrift in data-driven public opinion models
Bibliographic Data
| ID | 5261064 |
|---|---|
| Authors | Slavko Splichal (0000-0001-7678-2676, University of Ljubljana, corresponding author) |
| Year | 2022 |
| Volume | 9 |
| Issue | 1 |
| Publication date | 2022-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20539517221097319 |
| OpenAlex | W4285235747 |
| Language | EN |
| Citations received | 5 |
| References cited | 37 |
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
Big data · Opinion poll · Political science · Politics · Polling · Public opinion · Public relations · Public sphere · Sociology · Computational and Text Analysis Methods · Computer Science · Law · Opinion Dynamics and Social Influence · Social Media and Politics
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Language of Politics
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Special Section
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| Unique citing works | 5 |
|---|---|
| Citations per year | 2,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |