Towards understanding Intolerance: An Experimental Approach

Last registered on October 28, 2024
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Pre-Trial

Trial Information

General Information

Title
Towards understanding Intolerance: An Experimental Approach
RCT ID
AEARCTR-0013848
Initial registration date
October 28, 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
October 28, 2024, 1:43 PM 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
RITWIK BANERJEE
Affiliation
Indian Institute of Management Bangalore
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Other Primary Investigator(s)

PI Name
Marie Claire Villeval
PI Affiliation
CNRS, GATE
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PI Name
Lata Gangadharan
PI Affiliation
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Additional Trial Information

Status
In development
Start date
2024-10-23
End date
2025-01-31
Keywords
Behavior, Electoral
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Intolerance, in its various forms, undermines the fabric of a cohesive society by breeding division and animosity among individuals or groups based on differences in beliefs, identities, or ideologies. In this experiment, we propose to study whether people are willing to pay to block the views of others that they do not concur with. We design an experiment where participants rate a series of vignette-based decisions and decide whether a certain decision is personally appropriate and socially appropriate. These appropriateness measures subsequently allow us to measure whether participants are willing to pay to prevent the spread of a view that they consider personally and socially inappropriate.
External Link(s)

Registration Citation

Citation
BANERJEE, RITWIK, Lata Gangadharan and Marie Claire Villeval. 2024. "Towards understanding Intolerance: An Experimental Approach." AEA RCT Registry. October 28. https://doi.org/10.1257/rct.13848-1.0
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Experimental Details

Interventions

Intervention(s)
Our experiment does not have an intervention. We have two randomized treatments in this experiment. This treatment variation is about whether an individual is shown conservative views or liberal views for the vignettes described below.
Intervention Start Date
2024-10-28
Intervention End Date
2024-12-31

Primary Outcomes

Primary Outcomes (end points)
Measures of intolerance
Primary Outcomes (explanation)
Measures of intolerance will be obtained by comparing the three variables when views expressed in a vignette are either congruous or incongruous with the personal norms of the participant:
1) the willingness to pay to prevent the spread of a view
2) the effort provided in a task that benefits others who share or do not share the same views
3) the decision to prevent the dissemination of a political donation solicitation poster

Secondary Outcomes

Secondary Outcomes (end points)
We have two sets of secondary outcome variables.
The first set of secondary outcome variables relate to survey-based measures of intolerance.
-Self-reported levels of intolerance based on survey questions
-Staircase-based method of measuring intolerance
Besides, we will record other contextual outcomes that are related to:
- Personal Norms
- Social Norms
- Measure of pro-social behavior
- Other survey-based measures
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will describe a series of vignettes in which a decision-maker makes a decision. We will evaluate the personal and social norms associated with each decision. Subsequently, we will frame these vignettes in the form of social media posts expressing a view associated with each vignette. We will then ask the participants if they are willing to block the spread of the view expressed in the post, and if yes, how much they are willing to pay to block the spread of the post. We will also ask them to choose whom they will want to share a surplus with (this surplus comes from a real-effort task). Importantly, we will recruit individuals who have a conservative or a liberal view. Our randomized treatment variation comes from whether an individual is exposed to liberal views or conservative views.
Experimental Design Details
Not available
Randomization Method
Qualtrics-based individual-level randomization
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
NA
Sample size: planned number of observations
1000 (nationally representative sample recruited through Prolific)
Sample size (or number of clusters) by treatment arms
500 in each treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Monash University Human Ethics Review Board
IRB Approval Date
2024-08-07
IRB Approval Number
41462
Analysis Plan

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