Identify Fake Data or Misinformation in Near Real-Time using Big Data and Sentiment Analytics

Millions of people utilise social networking sites, which are important media outlets in everyday life, with some bad consequences. Spammers have started sending out a lot of useless and harmful material. The strategies for identifying spammers that propagate bogus information are examined. A taxonomy of misinformation spam detection systems is also provided, which categorises the tactics into four groups depending on their ability to detect incorrect information. The study presented here will be useful to researchers seeking for the most recent advancements in misleading spam detection in one location.