User Behavior Analysis based on their Social Media Interaction

The barrier to publishing content has been lowered thanks to social media. Although individual empowerment has developed positive results, it has also allowed malicious actors to fabricate disinformation and spread it through unwitting platform users. Although reputation signals and fact-check flags provide readers with useful filters and signals, and algorithmic and human moderators help stop misinformation from spreading, none of these interventions address the fundamental architecture of social media that leads to the dissemination of misinformation. Social media celebrities, especially You Tubers, have made their way onto conventional channels like broadcast and cable networks in recent years, and this has made a drastic change in how one behaves on certain things by getting influenced. In this paper review of different techniques for analyzing the user behaviour for social media interactions has been done.