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Machine Learning helps identify Covid-related conspiracy theories on social media

The study showed that misinformation tweets contain more negative sentiment when compared to factual tweets and that conspiracy theory evolve, incorporating details from unrelated conspiracy theories as well as real-world events.

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Photo for representational purpose

Photo for representational purpose

A team of researchers has identified that a new Machine Learning (ML) programme accurately identifies Covid-19-related conspiracy theories on social media and models how they evolved.

The study showed that misinformation tweets contain more negative sentiment when compared to factual tweets and that conspiracy theory evolve, incorporating details from unrelated conspiracy theories as well as real-world events.

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