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Social Media and the Formation of Policy Preferences: Experimental Evidence in the times of COVID-19
Last registered on November 16, 2020
View Trial History

Pre-Trial

Trial Information
General Information
Title
Social Media and the Formation of Policy Preferences: Experimental Evidence in the times of COVID-19
RCT ID
AEARCTR-0006254
Initial registration date
July 31, 2020
Last updated
November 16, 2020 8:01 AM EST
Location(s)
Country
United States of America
Region
Primary Investigator
Name
Margaret Samahita
Affiliation
University College Dublin
Contact Primary Investigator
Other Primary Investigator(s)
PI Name
Laura Taylor
PI Affiliation
University College Dublin
Contact Investigator
PI Name
Andrea Gallice
PI Affiliation
Collegio Carlo Alberto
Contact Investigator
PI Name
Pierluigi Conzo
PI Affiliation
University of Turin
Contact Investigator
PI Name
Juan Morales
PI Affiliation
Collegio Carlo Alberto
Contact Investigator
Additional Trial Information
Status
Completed
Start date
2020-07-31
End date
2020-08-17
Keywords
Health, Other
Additional Keywords
JEL code(s)
Secondary IDs
Abstract
This project studies the effect of social media on individuals' policy preferences. We study perceived endorsements, a central feature of social media, as evinced by common metrics of engagement: likes and retweets. Can the perceived engagement of social media messages affect how we evaluate policy choices? To answer this question, we will conduct an online controlled experiment with human subjects in the context of the COVID-19 pandemic policy trade-off.
External Link(s)
Registration Citation
Citation
Conzo, Pierluigi et al. 2020. "Social Media and the Formation of Policy Preferences: Experimental Evidence in the times of COVID-19." AEA RCT Registry. November 16. https://doi.org/10.1257/rct.6254-4.0.
Sponsors & Partners
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2020-07-31
Intervention End Date
2020-08-07
Primary Outcomes
Primary Outcomes (end points)
See pdf
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
See pdf
Experimental Design Details
Randomization Method
See pdf
Randomization Unit
See pdf
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
1500
Sample size: planned number of observations
1500
Sample size (or number of clusters) by treatment arms
250 in each of the 6 treatment arms
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University College Dublin
IRB Approval Date
2020-07-29
IRB Approval Number
HS-E-20-134-Samahita
Analysis Plan
Analysis Plan Documents
Pre-Analysis Plan

MD5: c4531a7ca80698b5d4d06ba926be7512

SHA1: 0c12550ce86f31b358b589cb27d28140e1a2d91c

Uploaded At: July 31, 2020

Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
Yes
Intervention Completion Date
August 17, 2020, 12:00 AM +00:00
Is data collection complete?
Yes
Data Collection Completion Date
August 17, 2020, 12:00 AM +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
Was attrition correlated with treatment status?
Final Sample Size: Total Number of Observations
Final Sample Size (or Number of Clusters) by Treatment Arms
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS
Description
Supplementary Materials US
Citation
Conzo, Pierluigi et al. 2020. "Registration Entry Title: Supplementary Materials US." AEA RCT Registry. November 16. https://doi.org/10.1257/rct.6254-4.0.
File
suppl_mat_us.pdf

MD5: 8c45a277eb2f539addd5ceb10df0079e

SHA1: 862c626767af9b0ac6277d37e4a9e387c8741e3b

Uploaded At: November 16, 2020

Description
Supplementary Materials EU
Citation
Conzo, Pierluigi et al. 2020. "Registration Entry Title: Supplementary Materials EU." AEA RCT Registry. November 16. https://doi.org/10.1257/rct.6254-4.0.
File
suppl_mat_eu.pdf

MD5: a3f41dcd590c9a56ee83766a374728dd

SHA1: d30d4b0f19e629c821b4a5dcda4923669cadeeb4

Uploaded At: November 16, 2020