Social Media and Academic Engagement

Last registered on April 12, 2022

Pre-Trial

Trial Information

General Information

Title
Social Media and Academic Engagement
RCT ID
AEARCTR-0008958
Initial registration date
April 11, 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
April 12, 2022, 8:26 AM EDT

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

Locations

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

Request Information

Primary Investigator

Affiliation
Georgia Institute of Technology

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2022-02-01
End date
2025-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
An RCT to determine how social media can influence engagement with academic literature.
External Link(s)

Registration Citation

Citation
Wichman, Casey. 2022. "Social Media and Academic Engagement." AEA RCT Registry. April 12. https://doi.org/10.1257/rct.8958-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2022-03-01
Intervention End Date
2024-12-31

Primary Outcomes

Primary Outcomes (end points)
Engagement with Twitter post about newly accepted articles (likes, retweets, follow-through clicks to article, etc.). Citations (obtained via Google Scholar or Web of Science).
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
An RCT to determine how social media can influence engagement with academic literature.
Experimental Design Details
Not available
Randomization Method
Randomization will be conducted using R, generating an ordered list of treatment designations with a fixed seed. As papers are accepted, they will be randomly assigned to one of the four treatment groups.
Randomization Unit
Article.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
200-500 articles.
Sample size (or number of clusters) by treatment arms
Sample will be evenly split across 4 treatment arms.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Georgia Institute of Technology
IRB Approval Date
2022-04-11
IRB Approval Number
H22090