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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | FAKE NEWS DETECTION USING NATURAL LANGUAGE PROCESSING |
| Authors Name: | Dr.Harish B G , Mr. Chetan Kumar G S , Manjunath C M , Mohan N J |
| Unique Id: | IJSDR2309062 |
| Published In: | Volume 8 Issue 9, September-2023 |
| Abstract: | Online social media plays an important role during real world events such as natural calamities, election s, social movements etc. Since the social media usage has increased, fake news has grown. The social media is often used by modifying true news or creating fake news to spread misinformation. The creation and distribution of fake news poses major threats in several respects from a national security point of view. Hence Fake news identification becomes an essential goal for enhancing the trustworthiness of the information shared on online social network. Over the period of time many researchers has used different methods, algorithms, tools and techniques to identify fake news content from online social networks. The aim of this paper is to review and examine these methodologies, different tools, browser extensions and analyze the degree of output in question. In addition, this paper discusses the general approach of fake news detection as well as taxonomy of feature extraction which plays an important role to achieve maximum accuracy with the help of different Machine Learning and Natural Language Processing algorithms. |
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| Cite Article: | "FAKE NEWS DETECTION USING NATURAL LANGUAGE PROCESSING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 9, page no.396 - 404, September-2023, Available :http://www.ijsdr.org/papers/IJSDR2309062.pdf |
| Downloads: | 000338719 |
| Publication Details: | Published Paper ID: IJSDR2309062 Registration ID:208516 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: 396 - 404 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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