Fake News Detection using Temporal Features Extracted via Point Process

Understand

Many people use social networking services (SNSs) to easily access various news.

• There are numerous ways to obtain and share ``fake news,'' which are news carrying false information.
• To address fake news, several studies have been conducted for detecting fake news by using SNS-extracted features.
• In this study, we attempt to use temporal features generated from SNS posts by using a point process algorithm to identify fake news from real news.