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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 |
| Authors Name: | M . ABHINAV , Y . MANEESH , Y . ROHITH REDDY , Y . MAHESH |
| Unique Id: | IJSDR2304325 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Recently, due to the rapid development of social media on the Internet, fake information for various commercial enterprise and political functions seems in big numbers and is widely allotted on the Internet around the arena. Using deceptive terms, social media clients can effortlessly get inflamed via this online faux information, which has already had a big impact at the offline community. An critical undertaking of growing the reliability of information in online social networks is the timely detection of fake information. This article ambitions to analyze requirements, methodologies, and algorithms for detecting fake information articles, creators, and actors on social media and to evaluate their respective effectiveness. Accurate information at the Internet, specifically on social networks, are becoming an growing problem, but, information on the Internet prevent the ability to know, examine and clarify such information or the so-referred to as "faux facts" present in those structures. . In this newsletter, we have proposed a way to come upon "fake statistics" and a way to do it on Facebook, one of the maximum famous on line social networking structures. This approach makes use of a Naive Bayes type model to predict whether a Facebook put up can be flagged as actual or fake. The results may be progressed in numerous approaches mentioned inside the article. The results acquired prove that the trouble of faux information detection can be solved with the assist of strategy learning devices. |
| Keywords: | OBJECTIVE , INTRODUCTION , LITERATURE SURVEY , PROPOSED SYSTEM , EXISTING SYSTEM , SYSTEM ARCHITECTURE , OUTPUT DESIGN , REFERENCES |
| Cite Article: | "FAKE NEWS DETECTION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2106 - 2112, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304325.pdf |
| Downloads: | 000337078 |
| Publication Details: | Published Paper ID: IJSDR2304325 Registration ID:205560 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 2106 - 2112 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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