How social media creators shape mass politics

Last registered on January 07, 2025

Pre-Trial

Trial Information

General Information

Title
How social media creators shape mass politics
RCT ID
AEARCTR-0013994
Initial registration date
July 09, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
July 16, 2024, 2:42 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
January 07, 2025, 12:49 PM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
Columbia University

Other Primary Investigator(s)

PI Affiliation
Columbia University
PI Affiliation
Columbia University

Additional Trial Information

Status
On going
Start date
2024-07-29
End date
2025-06-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Political apathy and skepticism toward traditional authorities are increasingly common, but social media creators (SMCs) capture the public's attention. Despite their prominence, whether these seemingly-frivolous yet engaging actors shape political attitudes and behaviors remains largely unknown. Our field experiment estimates the impact of encouraging Americans aged 18-45 to follow five progressive policy-minded SMCs on Instagram, TikTok, or YouTube for five months. Participants are randomly assigned to follow SMCs producing predominantly-apolitical and non-partisan or predominantly-political content; we cross-randomize recommendation-only or additional financial incentives to follow assigned SMCs. We then measure participants' political engagement, policy attitudes and priorities, progressive worldviews, voting behavior, non-electoral participation, and institutional and interpersonal trust. The comparison between treatment conditions, and against a pure control and several placebo groups, will evaluate the persuasive potential of sustained exposure to previously-unfollowed SMCs. Our findings will illuminate the role of SMCs as modern-day opinion leaders defining political communication in American democracy.
External Link(s)

Registration Citation

Citation
Chmel, Kirill, Eunji Kim and John Marshall. 2025. "How social media creators shape mass politics." AEA RCT Registry. January 07. https://doi.org/10.1257/rct.13994-1.3
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention (Hidden)
Our core treatment conditions involve encouraging participants to follow: (i) predominantly political SMCs (a mix of BII fellows and progressive-leaning SMCs) on social media; (ii) predominantly apolitical SMCs (all BII fellows) on social media; (iii) non-political SMCs on social media; and (iv) BII fellow's core messaging sent via SMS/email off social media. Within these conditions, we will further randomize the form of encouragement: (a) recommendation and quiz incentives; (b) recommendation and follow/subscribe incentives; and (c) recommendation only. In addition to the placebo control conditions, there will also be a pure control condition.
Intervention Start Date
2024-08-16
Intervention End Date
2024-12-29

Primary Outcomes

Primary Outcomes (end points)
Media consumption and engagement; political knowledge and engagement; policy and political attitudes; progressive worldviews and political polarization; voting behavior; non-electoral political participation; trust.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The treatment and incentive conditions will be cross-randomized to generate the distribution of participants. Treatments will be (dynamically) randomized within blocks of participants who are similar in terms of pre-treatment observables.
Experimental Design Details
Randomization Method
By computer.
Randomization Unit
Individual.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
4550 individuals.
Sample size: planned number of observations
Up to 9100 observations - one midline and one endline survey for participating individuals who complete the midline and endline survey.
Sample size (or number of clusters) by treatment arms
4,716 participants were assigned a treatment condition, of which 4,566 completed the baseline survey. The sample size by treatment arm is shown in the pre-analysis plan.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Columbia University Institutional Review Board
IRB Approval Date
2024-05-30
IRB Approval Number
IRB-AAAV1924
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials