The instruction will be as follows: *"In this study, you will read a police report. This report is based on the interrogation of a suspect by a police officer. The suspect was taken to the police station after a traffic stop because the motorcycle he was riding appeared to have been stolen a few weeks earlier. The interrogation took place at the police station. After reading the report, you will be asked questions about this case, so please make sure to read the report carefully."* After reading this instruction, participants will be presented with a police record of the interrogation of a suspect by a police officer. We created three versions of this police record based on different reporting styles, the [recontextualized style][1], the [question-answer style][2], and the [monologue style][3]. After reading one of the records, participants will indicate how easy or difficult is was to understand the police record (7-point scale, *1 = extremely easy, 7 = extremely difficult*), if they thought the suspect was guilty of the crime (stealing a motorcycle; *yes/no*), and how confident they were about their judgment (7-point scale, *1 = not at all, 7 = extremely*). Then they will answer questions regarding the credibility and reliability of the record and the suspect (7-point scales, *1 = extremely reliable/credible, 7 = extremely unreliable/uncredible*). Finally, participants will state what they think this study is about and provide some demographics. Participants will be randomly assigned to one of three conditions. We will record the time people spend reading the vignette. We expect this experiment to take about 10 minutes to complete. Participants will receive $1 for their participation. Participants will be recruited trough Amazon Mechanical Turk (http://www.mturk.com). The experiment will be presented online in the Qualtrics survey research suite (http://www.qualtrics.com). We will aim for at least 100 valid participants per condition. Therefore, we will recruit 350 participants. The data will be analyzed by a frequentist analysis (ANOVA). [1]: https://osf.io/g3hcy/ [2]: https://osf.io/ksrxc/ [3]: https://osf.io/wszc9/