FakeNewsPerception#

Fake News Perception Eye Tracking Corpus

FakeNewsPerception dataset [Sümer et al., 2021].

FakeNewsPerception dataset consists of eye movements during reading, perceived believability scores, and questionnaires including Cognitive Reflection Test (CRT) and News-Find-Me (NFM) perception, collected from 25 participants with 60 news items. Eye movements are recorded to provide objective measures of information processing during news reading.

For more details see [Sümer et al., 2021].

How to Download#

import pymovements as pm

# Initialize the dataset object with its name
# Specify your local directory for saving and loading data
dataset = pm.Dataset(name='FakeNewsPerception', path='path/to/your/data/directory')

# Download the dataset and extract all archives.
dataset.download()

# Load the dataset into memory for processing
dataset.load()