Credibility Verification of Social Media Users for Detecting Fake News
Fake news contains wrong information’s and mostly it spreads through social media. This is mostly done to impose some ideas and is implemented with reasons. These news containing false claims, may end up with viralized. The role of coordinated users in social media is high as they try to give fake r...
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| Veröffentlicht in: | Webology 2021, Vol.18 (Special Issue 03), p.274-281 |
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| creator | Sivasankari, S. Vadivu, Dr.G. |
| description | Fake news contains wrong information’s and mostly it spreads through social media. This is mostly done to impose some ideas and is implemented with reasons. These news containing false claims, may end up with viralized. The role of coordinated users in social media is high as they try to give fake reviews to promote or remove some YouTube videos. These coordinated users also can promote unworthy products for sale. With respect to politics, they can even change the scenario by giving negative votes. This paper implemented to verify the user credibility in social media based on their similarity measures. If the user is incredible then the content posted by them is also assumed to be incredible. It is time consuming and includes lot of difficulty in verifying fake content in social media. So we have tried to segregate incredible users that indirectly helps us to identify fake content posted by them. |
| doi_str_mv | 10.14704/WEB/V18SI03/WEB18040 |
| format | Article |
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| identifier | ISSN: 1735-188X |
| ispartof | Webology, 2021, Vol.18 (Special Issue 03), p.274-281 |
| issn | 1735-188X 1735-188X |
| language | eng |
| recordid | cdi_proquest_journals_2697724348 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Bullying Celebrities Classification Credibility Datasets False information Neural networks Social networks User behavior |
| title | Credibility Verification of Social Media Users for Detecting Fake News |
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