Preempting Polarization: An Experiment on Formation of Opinions about Net Neutrality

Last registered on October 21, 2024

Pre-Trial

Trial Information

General Information

Title
Preempting Polarization: An Experiment on Formation of Opinions about Net Neutrality
RCT ID
AEARCTR-0009704
Initial registration date
July 06, 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
July 08, 2022, 9:50 AM EDT

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

Last updated
October 21, 2024, 8:51 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
University of Warwick

Other Primary Investigator(s)

PI Affiliation
The University of Chicago

Additional Trial Information

Status
Completed
Start date
2022-07-07
End date
2022-09-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This is an experimental study on public policy opinion formation. More details will be available after the trial is completed.
External Link(s)

Registration Citation

Citation
Kashner, Dan and Mateusz Stalinski. 2024. "Preempting Polarization: An Experiment on Formation of Opinions about Net Neutrality." AEA RCT Registry. October 21. https://doi.org/10.1257/rct.9704-1.2
Experimental Details

Interventions

Intervention(s)
Intervention (Hidden)
Participants in the study are provided with both partisan and non-partisan information about net neutrality, an issue they are unlikely to be familiar with.

The partisan information consists of texts, images, and tweets revealing the history of net neutrality policy changes in the United States. The materials highlight Democrat's support for net neutrality along with the opposition of Republican politicians to net neutrality.

The non-partisan information is based on two videos -- one discussing pros of net neutrality, and the other focusing on the cons.

We randomize the order in which the partisan information and the non-partisan information are presented. In AFTER condition, the partisan information is presented after the non-partisan information. In BEFORE condition, the partisan information is shown prior to the non-partisan information.

Note that at the point of measuring donations (primary outcome) the overall informational content is the same for both conditions -- only the order differs. However, for the secondary outcome (pro vs. con), the AFTER group participants do not possess partisan information (just the non-partisan information), whereas those in the BEFORE group possess both.

Intervention Start Date
2022-07-07
Intervention End Date
2022-09-30

Primary Outcomes

Primary Outcomes (end points)
Amount donated (out of $0.5 bonus payment) to the Electronic Frontier Foundation, a charity that supports net neutrality

Heterogeneity:
We will look at heterogeneity with respect to whether the participants reported voting for Donald Trump in the 2020 presidential election.
Primary Outcomes (explanation)
For the heterogeneity analysis, we will use a Prolific prescreening question "Who did you vote for in the 2020 US presidential election?".

Secondary Outcomes

Secondary Outcomes (end points)
The side of the argument (pro vs. con) that the participant chooses when evaluating non-partisan information from two videos

We will perform the same heterogeneity analysis as for the primary outcome.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experimental design is hidden until the end of the trial.
Experimental Design Details
We recruit participants on Prolific. We restrict the pool of eligible participants to those who answered "Republican" on Prolific's US political affiliation question and those who answered the question about their 2020 vote (regardless of the answer). Participants are required to complete a 15-minute Qualtrics survey about net neutrality.

After collecting demographics and a brief introduction to the issue of net neutrality, we randomize participants into two treatment groups: BEFORE and AFTER.

Participants in the AFTER group will see the PRO and CON videos on net neutrality immediately after we introduce the issue. After both videos play, participants are shown the "PRO vs CON question". At the bottom of the page (so they can re-watch any videos, as needed) they are asked to explain (in at least 20 words) which argument they found most convincing, pro or con. To incentivize engagement, they are told the top 25% of answers (based only on the clarity of their answer, not which side they chose) will receive a bonus payment. On the following page, they indicate whether the most convincing argument was from the PRO video (in favor of net neutrality) or the CON video (against net neutrality).

Participants in the BEFORE group watch the PRO and CON videos after learning that their Republican party opposes the issue of net neutrality and the Democratic party supports the issue. When they watch the video content, they can interpret it with this knowledge from Partisan Information in mind. When they answer the "PRO vs CON question", they have knowledge of both Partisan Information and Non-partisan Information.

In both treatment groups, after participants have received both Partisan and Nonpartisan Information, they are told that they now have a chance to support net neutrality. They are told about the Electronic Frontier Foundation, a charity that supports net neutrality. They are offered a $.50 bonus payment, and they are asked how much of that bonus they would like to donate to the net neutrality charity, EFF.

Both for the primary and the secondary outcome, to test for the impact of the intervention on the outcome, we will use a two-sided t-test for difference in means between the two experimental conditions (BEFORE and AFTER).


Randomization Method
Qualtrics randomization
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
800 individuals. This includes 200 individuals from the pilot study that we conducted prior to the pre-registration. We decided to pool the pilot with the subsequent data due to the very limited number of eligible Republicans on Prolifc. This should give the study sufficient power to detect effects close to 0.2 s.d.
Sample size (or number of clusters) by treatment arms
400 individuals per group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Social and Behavioral Sciences Institutional Review Board The University of Chicago
IRB Approval Date
2021-11-05
IRB Approval Number
IRB19-0841

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
Yes
Intervention Completion Date
September 30, 2022, 12:00 +00:00
Data Collection Complete
Yes
Data Collection Completion Date
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