Social Media Signalling

Last registered on May 24, 2022

Pre-Trial

Trial Information

General Information

Title
Social Media Signalling
RCT ID
AEARCTR-0009359
Initial registration date
May 12, 2022

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
May 16, 2022, 5:28 PM EDT

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

Last updated
May 24, 2022, 6:00 PM EDT

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

Locations

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Primary Investigator

Affiliation
UBC

Other Primary Investigator(s)

PI Affiliation
UBC

Additional Trial Information

Status
In development
Start date
2022-05-12
End date
2023-02-28
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This trial studies social media signalling equilibria by exploring whether social media activity is predictive of offline behaviors. See pre-analysis plan (once available) for full details.
External Link(s)

Registration Citation

Citation
Angeli, Deivis and Matt Lowe. 2022. "Social Media Signalling." AEA RCT Registry. May 24. https://doi.org/10.1257/rct.9359
Experimental Details

Interventions

Intervention(s)
See pre-analysis plan (once available) for full intervention details.
Intervention Start Date
2022-05-12
Intervention End Date
2022-06-10

Primary Outcomes

Primary Outcomes (end points)
See pre-analysis plan (once available) for primary and secondary outcomes.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
See pre-analysis plan (once available) for full experiment design details.
Experimental Design Details
Not available
Randomization Method
Stratified randomization in STATA, full explanation in pre-analysis plan.
Randomization Unit
Individual
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
11k (more details in pre-analysis plan)
Sample size: planned number of observations
18,514 (more details in pre-analysis plan)
Sample size (or number of clusters) by treatment arms
Core randomizations are 50:50
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
See pre-analysis plan.
IRB

Institutional Review Boards (IRBs)

IRB Name
UBC Behavioral Research Ethics Board
IRB Approval Date
2022-05-06
IRB Approval Number
H20-03758
Analysis Plan

There are documents in this trial unavailable to the public. Use the button below to request access to this information.

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