Experimental Design
In Wave 1, we collect data for constructing the machine learning models used for targeting in Wave 2 and estimate heterogeneity in the effects of presenting social comparison information and granting the right to view it. We administer two online surveys to panelists of an online survey company.
1. Screening Survey (scheduled to begin on March 13, 2026)
The screening survey measures covariates used for constructing the targeting models and estimating treatment effect heterogeneity. The covariates include demographic variables (age, gender, prefecture of residence, education, marital status, household members, occupation, and income), individual characteristics (psychological traits such as reciprocity and social comparison orientation, Big Five, self-image, risk preferences, and loss aversion), donation-related questions (hypothetical donation behavior, beliefs about others' donation amounts, interest in charitable giving, total donations in 2025, and organizations donated to in 2025), and questions on usage of generative AI services. We include two large language model (LLM) bot detection questions to address the concern that respondents may use generative AI to answer surveys.
2. Main Experiment (scheduled to begin on March 19, 2026)
The main experiment implements a randomized controlled trial on charitable giving. Participants are first informed that they have a chance of receiving an additional payment of 1,000 JPY through a lottery (1 in 10 odds). They then report what they would spend the 1,000 JPY on if they were to use it for themselves. After that, they receive an explanation of the donation experiment and complete a comprehension check to confirm their understanding of the incentive mechanism. They then read a description of the donation recipient, the Japan Committee for UNICEF. Participants are randomly assigned to one of the three groups described in the Intervention section. Under their respective treatment conditions, they decide, in increments of 1 JPY, how much to donate if they receive the 1,000 JPY. At the end of the experiment, participants are asked whether they used generative AI to answer the survey. They are assured that their response will not affect their payment.