AI and Online Interactions

Last registered on May 13, 2024
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Pre-Trial

Trial Information

General Information

Title
AI and Online Interactions
RCT ID
AEARCTR-0013548
Initial registration date
May 02, 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
May 13, 2024, 11:51 AM EDT

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

Locations

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Primary Investigator

Name
Lena Song
Affiliation
NYU
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Other Primary Investigator(s)

PI Name
Elliott Ash
PI Affiliation
ETH Zurich
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PI Name
Yichuan Lou
PI Affiliation
University of Tokyo
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Additional Trial Information

Status
In development
Start date
2024-05-06
End date
2025-05-31
Keywords
Behavior, Other
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study explore the impact of AI agents on online communication. We vary the presence of these entities and examine its effects on online interactions.
External Link(s)

Registration Citation

Citation
Ash, Elliott, Yichuan Lou and Lena Song. 2024. "AI and Online Interactions ." AEA RCT Registry. May 13. https://doi.org/10.1257/rct.13548-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-05-06
Intervention End Date
2025-01-31

Primary Outcomes

Primary Outcomes (end points)
Effort in engagement, valuation of engagement
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will run a series of online survey experiments to look at the effect of the presence of AI agents.
Experimental Design Details
Not available
Randomization Method
in-survey randomization on qualtrics
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
8000 participants
Sample size: planned number of observations
8000 participants
Sample size (or number of clusters) by treatment arms
Participants randomized with equal probability into each treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan