raw fNIRs data for in processing online rumors

Read full text
Authors: Ding Yi
Cited by: 0

Abstract

The fNIRs data was obtained during online rumors recognition. Participants were required to judge the authenticity of the labeled information. The experiment employed a block design, presenting a total of 16 information items (Block 1: 4 true information items, 4 false information items; Block 2: Among the 4 true information items, two were labeled as from People's Daily and judged as true, and two were labeled as from Jiupai News and judged as true; among the 4 false information items, two were labeled as from People's Daily and judged as false, and two were labeled as from Jiupai News and judged as false). Throughout the experiment, Block 1 and Block 2 were presented in sequence, with the items within each block randomized.The information was presented for five seconds, during which participants were required to read and judge its authenticity within the five-second window (pressing the number 0 on the keyboard if they believed the information was true, and the number 1 if they believed it was false).To obtain a robust hemodynamic response for signal averaging, each unique combination was presented five times in random order within its respective condition block. Throughout the experiment, fNIRS data were continuously recorded for approximately 30 minutes per participant, ensuring data completeness and accuracy, and laying a solid foundation for subsequent data analysis and research.

Fields of Study & Subjects

Misinformation and Its Impacts Deception detection and forensic psychology Neural and Behavioral Psychology Studies

Publication details

Journal / source
ScienceDB
Publication date
11 January 2026
Language
EN
Document type
Dataset