AI Advisor Experiment Data

该数据集包含了545名参与者的实验数据，这些参与者被要求通过评估受不同人工智能顾问特质影响的访谈记录，来辨别真伪。根据人工智能的质量和信息披露情况，参与者被分为六组处理。每位参与者完成了五项任务，记录了他们的猜测和信心水平。该数据集的规模为545名参与者，任务内容是在社交媒体交流中进行真伪检测。

This dataset comprises experimental data collected from 545 participants. All participants were instructed to differentiate between authentic and fraudulent content by evaluating interview transcripts influenced by the traits of different AI advisors. Participants were assigned to six treatment groups based on the quality of the AI advisors and the level of information disclosure. Each participant completed five tasks, with their respective guesses and confidence levels documented. The dataset includes data from 545 participants, and the core task is authenticity detection in social media communications.