#132772 | AsPredicted

'Reducing intergroup avoidance online'
(AsPredicted #132772)


Author(s)
This pre-registration is currently anonymous to enable blind peer-review.
It has 3 authors.
Pre-registered on
2023/05/19 - 09:31 AM (PT)

1) Have any data been collected for this study already?
No, no data have been collected for this study yet.

2) What's the main question being asked or hypothesis being tested in this study?
What increases Israelis' willingness to engage with outgroup social media content?

We hypothesize that each of the following interventions will increase Israelis' willingness to consume outgroup social media content. We do not have a priori expectations regarding the relative effectiveness of each treatment.

Self-affirmation
Intellectual humility
Group malleability
Fact-checking
In-group endorsement
Personal content
Economic incentive

3) Describe the key dependent variable(s) specifying how they will be measured.
The key dependent variable is a respondent's selection, indicating their interest in reading Palestinian Facebook posts relative to posts written by other groups in a choice task. 0= No, 1= Yes. Types of posts include: posts written by secular Jews in Jerusalem, posts written by religious Jews in Jerusalem, posts written by Ultra Orthodox Jews in Jerusalem, and posts written by Palestinians in East Jerusalem.

4) How many and which conditions will participants be assigned to?
Self-affirmation: Answer a series of questions designed to instill feelings of self-affirmation
Intellectual humility: Read a vignette about the merits of intellectual humility
Group malleability: Read a vignette about the concept of group malleability how it can explain changes in intergroup relations
Fact-checking: Posts contain a label explaining that they have been fact checked by reputable ingroup sources
In-group endorsement: Posts contain a label demonstrating that they have been liked and shared by ingroup members
Personal content: Posts are described as containing personal stories
Economic incentive: Participants are offered economic rewards for participating
Placebo: Participants answer a series of questions generally used as a placebo for self-affirmation treatments
Pure Control: No treatment

5) Specify exactly which analyses you will conduct to examine the main question/hypothesis.
Our primary analysis will test the effect of each treatment against the pure control using OLS models (lm_robust()). Because we are testing 7 main treatments against a pure control condition, we will report Benjamini-Hochberg corrected p-values to address false discovery rates.

In addition, we will test the aggregate effects of all treatments against the control+placebo condition using. We will also test the effects of our first three treatments (self-affirmation, intellectual humility, and group malleability) against a placebo condition as a robustness test. All estimations will use a simple OLS (lm_robust).

6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations.
We only exclude respondents who fail two pre-treatment attention checks.

7) How many observations will be collected or what will determine sample size?
No need to justify decision, but be precise about exactly how the number will be determined.

We will recruit 4000 participants through IPanel to ensure that we have enough power across our conditions.

8) Anything else you would like to pre-register?
(e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?)

Nothing else to pre-register.

Version of AsPredicted Questions: 2.00