relation: https://khub.utp.edu.my/scholars/2814/
title: Distance-based hoax detection system
creator: Ishak, A.
creator: Chen, Y.Y.
creator: Yong, S.-P.
description: Hoaxes are non malicious viruses. They live on deceiving human?s perception by conveying false claims as truth. Throughout history, hoaxes have actually able to influence a lot of people to the extent of tarnishing the victim?s image and credibility. Moreover, wrong and misleading information has always been a distortion to a human?s growth. Some hoaxes were created in a way that they can even obtain personal data by convincing the victims that those data were required for official purposes. Hoaxes are different from spams in a way that they masquerade themselves through the address of those related either directly or indirectly to us. Most of the time, they appear as a forwarded message and sometimes from legit companies. This paper addresses this issue by developing a hoax detection system by incorporating text matching method using Levenshtein Distance measure. The proposed model is used to identify text-based hoax emails. Sensitivity and specificity are used to evaluate the accuracy of the system identifying hoax emails. © 2012 IEEE.
date: 2012
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Ishak, A. and Chen, Y.Y. and Yong, S.-P.  (2012) Distance-based hoax detection system.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867907147&doi=10.1109%2fICCISci.2012.6297242&partnerID=40&md5=6c8c9e2f5e8a36d5ab822c6a273d52c5
relation: 10.1109/ICCISci.2012.6297242
identifier: 10.1109/ICCISci.2012.6297242