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Fake Profile detection on Social Media

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dc.contributor.author Chaudhari, Shruti
dc.contributor.author Namjoshi, Asmita
dc.date.accessioned 2024-02-24T10:26:55Z
dc.date.available 2024-02-24T10:26:55Z
dc.date.issued 2024-01
dc.identifier.citation Fake Profile detection on Social Media en_US
dc.identifier.issn 2581-9879
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/14956
dc.description.abstract The growth of social media platforms has allowed people to connect and interact in ways that were unimaginable in the past. However, it has also led to an increase in fraudulent information, which poses a serious problem for the integrity of the platform and user trust. This research paper provides an in-depth review of current practices and strategies, focusing on the key elements of identifying fake profileson social media. The presence of misinformation can be detected and mitigated using various detection methods developed from machine learning, data miningand network analysis. A discussion of metrics and data provides insight into how the discovery algorithm works.The report addresses issues such as attacks, enforcementand privacy concerns while recommending future research opportunities for enhanced detection. The results and recommendations presented here aim to help develop robust and practical solutions to the widespread fraud problem on social media platforms, thereby creating a safer and more secure online experience. en_US
dc.language.iso en en_US
dc.publisher Kesari Mahratta Trust en_US
dc.subject Fake profile detection en_US
dc.subject Social media platforms en_US
dc.subject Profile authenticity verification en_US
dc.subject Fraudulent account identification en_US
dc.subject Machine learning algorithms en_US
dc.subject Behavioural analysis techniques en_US
dc.title Fake Profile detection on Social Media en_US
dc.type Article en_US


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