The Supply of Motivated Beliefs

Last registered on June 28, 2023

Pre-Trial

Trial Information

General Information

Title
The Supply of Motivated Beliefs
RCT ID
AEARCTR-0007750
Initial registration date
June 23, 2023

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
June 28, 2023, 4:30 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
UCL

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2021-06-01
End date
2021-12-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
When people choose what messages to send to others, they often consider how others will interpret the messages. A sender may expect a receiver to engage in motivated reasoning, leading the receiver to trust good news more than bad news, relative to a Bayesian. This paper experimentally studies how motivated reasoning affects information transmission in political settings. Senders are randomly matched with receivers whose politics happen to be aligned or misaligned with the truth, and either face incentives to be perceived as truthful or face no incentives. These incentives decrease the truthfulness of senders; instead, incentivized senders choose to send more false information to align with receivers' politically-motivated beliefs. The adverse effect of incentives is not appreciated by receivers, who rate senders in both conditions as being equally likely to be truthful. A complementary experiment further identifies motivated reasoning among receivers and senders' beliefs about receivers' motivated reasoning as the mechanism driving these results. In addition, senders are willing to pay to learn the politics of their receivers in order to send more targeted misinformation.

Registration Citation

Citation
Thaler, Michael. 2023. "The Supply of Motivated Beliefs." AEA RCT Registry. June 28. https://doi.org/10.1257/rct.7750-1.0
Experimental Details

Interventions

Intervention(s)
The information provided below is copied from my pre-analysis plans that were preregistered on AsPredicted in 2021. Links are provided in "Trial Information". Some minor changes to language and organization are made to better fit the questions in this form, but the substantive content is the same.


When people send information to others, they may take into account what beliefs others are motivated to hold. I run two experiments to unpack how beliefs about others affect the supply of "false news".

Primary experiment: This experiment studies the impact that beliefs about others' motivated reasoning plays in determining how truthful people are. In particular, I ask whether incentives for appearing truthful lead people to send less truthful messages, and whether these reputation incentives backfire because of senders' beliefs about receivers' motivated reasoning.

Main hypothesis: Senders choose to send more "false news" to receivers when
(a) false news is aligned with the direction of receivers' politically-motivated beliefs,
(b) false news is aligned with receivers' priors, and when
(c) the senders are incentivized to be perceived as truthful.

Additional experiment: I break the interaction between senders and receivers, directly testing whether people expect message receivers to engage in motivated reasoning and whether these beliefs lead people to choose more "false news" for them?
Main hypotheses:
(d) People predict that receivers engage in motivated reasoning on political issues such as racial discrimination, crime trends, and the coronavirus pandemic.
(e) People choose more fake news for receivers when (i) fake news is aligned with the direction of politically-motivated beliefs and when (ii) they are incentivized to be perceived as truthful.
(f) People demand more information about receivers' politics when the topics are political, and use this information in order to choose more fake news.
Intervention Start Date
2021-06-02
Intervention End Date
2021-09-14

Primary Outcomes

Primary Outcomes (end points)
Both experiments: Senders' choice of false information
Primary Outcomes (explanation)
For each question, there is a "true" answer that the sender knows (e.g. "the crime rate is higher than [number]"), and the sender chooses whether to send a message corresponding to the true answer or to the false answer (e.g. "the crime rate is lower than [number]").

Secondary Outcomes

Secondary Outcomes (end points)
Primary experiment: Receivers' assessments of how truthful senders' messages are.

Additional experiment: Receivers' assessments of a randomly-generated message (from a computer) as a measure of motivated reasoning; senders' demand for information about receivers' political party.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Primary experiment:

Subjects will be split into two groups: Senders and Receivers.

There will be several factual questions of the form "the answer is greater/less than [number]." Senders will be told the correct answer, and receivers will give their perceived prior probability P(answer is greater). Each sender will, via the strategy method for each possible receiver prior, choose whether to send a message that either says "the answer is greater than [number]" or "the answer is less than [number]." One of these messages is truthful, and one is false.

The binary choice, "true news" or "false news," is the main dependent variable for senders and main hypotheses (a)-(c). Since senders answer via the strategy method, there will be several (eleven) choices per question for each sender.

There will also be several quotes whose content is either accurate or inaccurate. On these questions, senders will only choose one message instead of one message for each possible receiver prior; otherwise, the definition of true/false is the same.

There is within-subject randomization and between-subject randomization.

Senders:

Between subjects:
- Each sender will either be given reputation incentives, be unincentivized, or be given competition incentives.
- Each sender will either be matched with a receiver who learns the sender's party or a receiver who does not. Senders in the competition incentives condition will not have their party revealed to receivers.

Within subjects:
- For each question, each sender will be randomly assigned to either learn that the receiver is a Democrat, a Republican, or not learn this information.
- Subjects randomly see 7 of 11 "greater/less than" questions, and 4 "quote accuracy" questions. The "greater/less than questions" appear first, but the order within each block is randomized.

Receivers:

Between subjects:
- Receivers will be told that when matched, their sender will either be given reputation incentives, be unincentivized, or be given competition incentives. In the reputation and unincentivized conditions, the receiver will be asked to predict, via strategy method, P(sender's message is truthful). In the competition condition, the receiver will be asked to predict, via strategy method, which of two senders sent more truthful messages over the course of the experiment.
- Receivers will either be matched with a sender who knows their party or a receiver who does not.

Within subjects:
- For each question, receivers in the reputation and unincentivized conditions will be randomly assigned to either learn that the sender is a Democrat, a Republican, or not learn this information. Receivers in the competition condition will not learn the two senders' party.
- Subjects randomly see 7 of 11 "greater/less than" questions, and 4 "quote accuracy" questions. The "greater/less than questions" appear first, but the order within each block is randomized.


Secondary experiment:

Before this experiment, a separate set of subjects ("receivers") were asked to complete a task intended to identify motivated reasoning (Thaler, WP). They were first asked to state their median belief about a factual question on various political and neutral topics. Then, they were given two binary messages that say "The answer is greater than [your median belief]." and "The answer is less than [your median belief]." One of these messages comes from "true news" and the other from "fake news," and receivers are asked to predict the likelihood of each. A Bayesian would assess the news sources as equally likely to be true, while a motivated reasoner would think the party-aligned news would be more likely to be true.

Hypothesis (d): Subjects in this experiment are asked to predict the share of receivers' news judgments that assess Democratic news as being more likely to be true, Republican news as being more likely to be true, or both being equally likely. They will give one prediction for Democratic receivers and one for Republican receivers. I average subjects' predicted motivated reasoning, measured as 1 * party-aligned news more True + 0.5 * both news equally likely + 0 * party-misaligned news more True (such that a Bayesian would have a value of 0.5), for each party.

Hypothesis (e): Subjects are asked to "choose" a message after learning information about the receiver. On each question, subjects are matched with either a Democrat or a Republican who have the same median belief. Subjects learn whether this belief is greater than or less than the true answer, but may choose either message. Messages are not sent to receivers, but some subjects are incentivized to choose messages that receivers believe is true. This binary choice, "true news" or "fake news," is the dependent variable.

Hypothesis (f): Subjects are asked whether they prefer to receive a higher expected payment and learn the receivers' party with probability 1/2, or receive a lower expected payment and learn the receivers' party with probability 1. This binary choice, "demand," is the dependent variable.
Experimental Design Details
Randomization Method
Computer-generated randomization
Randomization Unit
There are both within-subject and between-subject randomizations. See the experimental design section for details.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
Primary: 375 senders and 375 receivers (but most analyses focus on the 250 senders and 250 receivers in the two main incentive groups).
Secondary: 500 senders and 50 receivers.
Sample size: planned number of observations
Primary: There will be approximately 375*11 = 4,125 receiver-question and 4,125 sender-question pairs. Of these, ~2,625 will be on greater/less questions, and ~1,500 will be on quote accuracy questions. Given the strategy method, there will be ~30,375 messages chosen by senders and ~8,250 news assessments by receivers. There will be 750 sets of predictions about others' behavior: Each subject will make one set of predictions with belief elicitations and Likert scale questions. Secondary: Senders: 3000 news choice observations (~1500 incentivized and ~1500 unincentivized): Each subject will be asked to make six news choices. 2000 observations about demand: Each subject will be asked to make four choices of whether to demand information. 500 sets of predictions about others' behavior: Each subject will make one set of predictions. Receivers: 400 news assessments.
Sample size (or number of clusters) by treatment arms
Primary: Senders: 10,125 messages per incentive group. Receivers: 4,125 news assessments per incentive group.
Secondary: Senders: 3,000 messages per incentive group. Receivers: 400 news assessments.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB at Princeton University
IRB Approval Date
2021-05-06
IRB Approval Number
13114-04
IRB Name
IRB at Princeton University
IRB Approval Date
2021-09-07
IRB Approval Number
13114-05

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

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