Table 1 Metadata features used in detecting fake news and deepfake images.

From: Leveraging data analytics for detection and impact evaluation of fake news and deepfakes in social networks

Metadata Features

Fake News Detection

Deepfake Image Detection

Source and Reliability

Focuses on the publisher and author credibility

Focuses on originality, source and reliability of image

Temporal Information

Examines publication and edit history

Analyses the image capture date and modification history, if any

Social Engagement

Number of likes, shares, and sentiment analysis on users’ comments and discussions for the news article or picture

File Features

URL patterns and domain age are checked

Geolocation data is checked against the context of the news article

Content Integrity and Structure

Scans the length and sentiment of the news headline, and credibility of external sources cited

Scans the metadata of the image to check for modification history