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We plan to conduct a chain experiment (hereafter, “main experiment”) to investigate how a series of social information affects judgmental accuracy of participants (e.g., Jayles et al., 2017) for a set of knowledge questions, half of which ask numeric estimates about politically-neutral contents (i.e., purely scientific facts with no obvious political implications), while the other half ask about politically-nuanced contents. In preparation for the main experiment, here, we run a pilot survey that assesses (1) difficulties of the knowledge questions, and (2) participant’s subjective judgments about to what extent answering each question may be influenced by political attitudes or biases. We will use the results from this pilot survey to select questions and to generate “computer bot algorithms” (see Jayles et al., 2017) to be used in the main experiment.
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