Header menu link for other important links
Fuzzy-based fake information detection algorithm to define the user trust on the content of social networks
Published in Institution of Engineering and Technology (IET)
Volume: 8
Issue: 6
Pages: 367 - 371
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. © The Institution of Engineering and Technology 2019
About the journal
JournalIET Networks
PublisherInstitution of Engineering and Technology (IET)
Open Access0