کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4950250 | 1440642 | 2017 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Investigating the deceptive information in Twitter spam
ترجمه فارسی عنوان
بررسی اطلاعات فریبنده در هرزنامه های توییتر
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کلمات کلیدی
شبکه اجتماعی آنلاین، اطلاعات بزرگ، تجزیه و تحلیل اسپم توییتر
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
چکیده انگلیسی
Online Social Networks (OSNs) such as Facebook and Twitter have become popular communication and information sharing tools for hundreds of millions of individuals in recent years. OSNs not only make people's life more connected, but also attract the interest of spammers. Twitter spam generally contains deceptive information, such as “free voucher” and “weight loss advertisement” to attract the interest of victims. A comprehensive analysis on the deceptive information will be of great benefit to the detection of Twitter spam. This paper presents a study of deceptive information in Twitter spam. The analysis is based on a collection of over 550 million tweets with around 6% spam. We find that various deceptive content of spam performs differently in luring victims to malicious sites. We also find the regional response rate to various Twitter spam outbreaks varies greatly. These two factors can contribute to improve the performance of spam detection techniques.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 72, July 2017, Pages 319-326
Journal: Future Generation Computer Systems - Volume 72, July 2017, Pages 319-326
نویسندگان
Chao Chen, Sheng Wen, Jun Zhang, Yang Xiang, Jonathan Oliver, Abdulhameed Alelaiwi, Mohammad Mehedi Hassan,