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Filter Bubbles, Echo Chambers and Fake News: How Social Media Conditions Individuals to be Less Critical of Political Misinformation

Name: Filter Bubbles, Echo Chambers and Fake News: How Social Media Conditions Individuals to be Less Critical of Political Misinformation
Published: 2021-03-16
License: https://creativecommons.org/licenses/by/4.0

Principal Investigator(s): View help for Principal Investigator(s) Samuel C. Rhodes, Utah Valley University

Version: View help for Version V1

Name	File Type	Size	Last Modified
data-final.dta	application/x-stata	5.6 MB	07/28/2019 10:32:AM
do-final.do	text/x-stata-syntax	2.4 KB	03/15/2021 08:19:PM
prime-treatment.mp4	video/mp4	7.7 MB	03/16/2021 01:13:PM

Project Citation:

Rhodes, Samuel C. Filter Bubbles, Echo Chambers and Fake News: How Social Media Conditions Individuals to be Less Critical of Political Misinformation. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-03-16. https://doi.org/10.3886/E135024V1

Project Description

Summary: Social media platforms have been found to be the primary gateway through which individuals are exposed to fake news. The algorithmic filter bubbles and echo chambers that have popularized these platforms may also increase exposure to fake news. Because of this, scholars have suggested disrupting the stream of congruent information that filter bubbles and echo chambers produce, as this may reduce the impact and circulation of misinformation. To test this, a survey experiment was conducted via Amazon MTurk. Participants read ten short stories that were either all fake or half real and half fake. These treatment conditions were made up of stories agreeable to the perspective of Democrats, Republicans, or a mix of both. The results show that participants assigned to conditions that were agreeable to their political world view found fake stories more believable compared to participants who received a heterogeneous mix of news stories complementary to both world views. However, this "break up" effect appears confined to Democratic participants; findings indicate that Republicans assigned to filter bubble treatment conditions believed fake news stories at approximately the same rate as their fellow partisans receiving a heterogeneous mix of news items. This suggests that a potential "break up" may only influence more progressive users.

Data included in this deposit:

1. Stata .dta file
2. Stata .do file used to generate tables and figures featured in paper
3. Treatment .mp4 video used on primed participants

Scope of Project

Subject Terms: Mturk

Geographic Coverage: United States

Time Period(s): 6/2019 – 9/2020

Collection Date(s): 6/16/2019 – 6/20/2019 (Study 1); 9/23/2020 – 9/26/2020 (Study 2)

Data Type(s): experimental data

Methodology

Data Source: Individual responses to Mturk survey experiment.

Collection Mode(s): web-based survey

Unit(s) of Observation: Individuals

Geographic Unit: State

Related Publications

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Published Versions

V2 [2021-04-03]

V1 [2021-03-16]

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DDI 2.5

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