Emotion Cognizance Improves Health Fake News Identification

Understand

Identifying misinformation is increasingly being recognized as an important computational task with high potential social impact.

• Misinformation and fake contents are injected into almost every domain of news including politics, health, science, business, etc., among which, the fakeness in health domain pose serious adverse effects to scare or harm the society.
• Misinformation contains scientific claims or content from social media exaggerated with strong emotion content to attract eyeballs.
• In this paper, we consider the utility of the affective character of news articles for fake news identification in the health domain and present evidence that emotion cognizant representations are significantly more suited for the task.