Evaluation of similarity based recommender using Fuzzy Inference System

J, Sharon Moses; Babu, L. D. Dhinesh; Raj, Ebin Deni

doi:10.1109/coconet.2015.7411246

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2019

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“…Therefore, it clearly appears that in coming years more people will continue to follow and use social media for their information needs. The reliability of the information and the user trust on the information that is being circulated in the social media remains questionable [4, 14–16]. Currently, there is an alarming concern in detecting the fake news that keeps spreading in social media because spreading of misinformation not only affects the social media users but also affects the general public.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy‐based fake information detection algorithm to define the user trust on the content of social networks

Nirmala

Babu

2019

IET Networks

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Across the globe, right from people who are technologically naive to people who are with high-technical knowledge, use, share, spread, and connect with each other through online social networks. People start believing and sharing the social network content without any proof of its authenticity. In several cases, the reliability of the information that gets shared between the users remains questionable due to the anonymity of the information creators. In this work, a fuzzy detection algorithm is proposed to identify the trustable content in social media. The proposed methodology is evaluated on Twitter social network platform. By computing the predictive measures, the efficiency of the proposed approach is well established.

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Section: Introductionmentioning

confidence: 99%