Prompt Submission

RT ID

Please enter the 5-letter ID that we assigned to your RT here.

Research Design

Baseline Prompt (max. 200 words)

Treatment Prompt (max. 200 words)

Theoretical Grounding (approx. 500 words)

This should include:

  • Short summary of the underlying theory
  • How was this theory applied in the past to encourage different user behaviour?
  • Why is this theory suited for our context?
  • How is this theory instantiated in the research design/treatment prompt?

Analytical Approach

Each RT must submit a clear description of how they will implement the required OLS regression. The description must specify:

  • Which control variables, if any (see Pre registration document ), will be included
  • How all variables are coded and operationalized (e.g., categorical vs. continuous)
  • Whether and how variables derived from the behavioral log data are used. If you want to use indices, please specify how to construct them in detail.
  • How missing data and “prefer not to say” responses are handled. 
  • Any sample restrictions or exclusion criteria. If you wish to include the full sample, simply write FULL SAMPLE
  • How standard errors are computed (e.g., robust or clustered, and at which level)

 

Submissions should be sufficiently precise so that the analysis can be implemented without further clarification.

References

Enter all references here

Design Constraint Checklist

This checklist helps you to ensure that your research design complies with our preregistered constraints. There will be no feedback or iteration after submission.

  • No deception of participants
  • No physical or psychological harm
  • Restrict overwhelming users (e.g. excessive moralizing)
  • Text-only prompts with a maximum length of 200 words for the baseline system prompt and a maximum length of 200 words for the treatment system prompt on top of the baseline system prompt
  • Prompts must be written in US English
  • Treatment and control system prompts must be clearly labeled
  • Language must be inclusive and avoid culturally biased assumptions
  • Prompts must not request personal information beyond what is already collected by the platform
  • All designs must comply with the online research platforms terms and conditions

Privacy Preference Center