Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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 for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 12, page no.43 - 45, December-2019, Available :http://www.ijrti.org/papers/IJRTI1912008.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator