Soma Das
ABSTRACT
The arrival of the internet in the late twentieth century, followed by social media in the twenty-first century, greatly increased the hazards of misinformation, disinformation, propaganda, and hoaxes. New ways of writing news have emerged to insert bias intelligently without making the news a piece of fake news. The correct news is usually manipulated to benefit a person, a group of individuals, a political party, or other factors, or changed to reflect sentiment or prominence. It is a challenging task to Sanitize such news content before presenting it to the reader. In this paper, we deal with the problematic English news sentences defined as Septic sentences. We have identified the Septic sentences and their Septic phrases using Machine Learning algorithms. Sanitization is the process of converting a Septic sentence into a Pure sentence. We illustrate the process of Sanitization in this paper with the help of paraphrasing. The model is able to Sanitize 76% of Septic sentences.
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Index Terms
- Sanitization of Sepsis News Sentences with the help of Paraphrasing
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