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Paper Title: A Novel Technique for Detection of Fake News on Social Media- A Review
Authors Name: Moulya M , K S Veda , Chandana N S , Amulya
Unique Id: IJRTI1912008
Published In: Volume 4 Issue 12, December-2019
Abstract: Automatic identification of fake news in social media like Facebook has attracted attention for a few days now. The main challenge is to acquire sufficiently large learning data. Here we also address about weakly supervised method, which can automatically gather large-scale training dataset of hundreds of thousands of tweets. During the collection process, we can automatically identify the source as trustworthy or untrustworthy sources and train the classifier on these datasets.
Keywords: Fake news, Weakly Supervised
Cite Article: "A Novel Technique for Detection of Fake News on Social Media- A Review", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 12, page no.43 - 45, December-2019, Available :http://www.ijrti.org/papers/IJRTI1912008.pdf
Downloads: 0001199
Publication Details: Published Paper ID: IJRTI1912008
Registration ID:181040
Published In: Volume 4 Issue 12, December-2019
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ISSN Number: 2456 - 3315
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