» Articles » PMID: 29515501

Topic Modeling Reveals Distinct Interests Within an Online Conspiracy Forum

Overview
Journal Front Psychol
Date 2018 Mar 9
PMID 29515501
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Conspiracy theories play a troubling role in political discourse. Online forums provide a valuable window into everyday conspiracy theorizing, and can give a clue to the motivations and interests of those who post in such forums. Yet this online activity can be difficult to quantify and study. We describe a unique approach to studying online conspiracy theorists which used non-negative matrix factorization to create a topic model of authors' contributions to the main conspiracy forum on Reddit.com. This subreddit provides a large corpus of comments which spans many years and numerous authors. We show that within the forum, there are multiple sub-populations distinguishable by their loadings on different topics in the model. Further, we argue, these differences are interpretable as differences in background beliefs and motivations. The diversity of the distinct subgroups places constraints on theories of what generates conspiracy theorizing. We argue that traditional "monological" believers are only the tip of an iceberg of commenters. Neither simple irrationality nor common preoccupations can account for the observed diversity. Instead, we suggest, those who endorse conspiracies seem to be primarily brought together by epistemological concerns, and that these central concerns link an otherwise heterogenous group of individuals.

Citing Articles

Too humble for words.

Levy N Philos Stud. 2023; 180(10-11):3141-3160.

PMID: 37786461 PMC: 10541816. DOI: 10.1007/s11098-023-02031-4.


Hate Speech in a Telegram Conspiracy Channel During the First Year of the COVID-19 Pandemic.

Vergani M, Martinez Arranz A, Scrivens R, Orellana L Soc Media Soc. 2022; 8(4):20563051221138758.

PMID: 36447996 PMC: 9684062. DOI: 10.1177/20563051221138758.


Do your own research!.

Levy N Synthese. 2022; 200(5):356.

PMID: 36032354 PMC: 9392429. DOI: 10.1007/s11229-022-03793-w.


LOCO: The 88-million-word language of conspiracy corpus.

Miani A, Hills T, Bangerter A Behav Res Methods. 2021; 54(4):1794-1817.

PMID: 34697754 PMC: 8545361. DOI: 10.3758/s13428-021-01698-z.


An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web.

Tangherlini T, Shahsavari S, Shahbazi B, Ebrahimzadeh E, Roychowdhury V PLoS One. 2020; 15(6):e0233879.

PMID: 32544200 PMC: 7297331. DOI: 10.1371/journal.pone.0233879.


References
1.
Del Vicario M, Bessi A, Zollo F, Petroni F, Scala A, Caldarelli G . The spreading of misinformation online. Proc Natl Acad Sci U S A. 2016; 113(3):554-9. PMC: 4725489. DOI: 10.1073/pnas.1517441113. View

2.
Dunn A, Leask J, Zhou X, Mandl K, Coiera E . Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study. J Med Internet Res. 2015; 17(6):e144. PMC: 4526932. DOI: 10.2196/jmir.4343. View

3.
Lee D, Seung H . Learning the parts of objects by non-negative matrix factorization. Nature. 1999; 401(6755):788-91. DOI: 10.1038/44565. View

4.
Wood M, Douglas K . Online communication as a window to conspiracist worldviews. Front Psychol. 2015; 6:836. PMC: 4470066. DOI: 10.3389/fpsyg.2015.00836. View

5.
Raab M, Ortlieb S, Auer N, Guthmann K, Carbon C . Thirty shades of truth: conspiracy theories as stories of individuation, not of pathological delusion. Front Psychol. 2013; 4:406. PMC: 3705173. DOI: 10.3389/fpsyg.2013.00406. View