DocumentCode
3071210
Title
Frustrate Twitter from automation: How far a user can be trusted?
Author
Sivanesh, S. ; Kavin, K. ; Hassan, A. Abul
Author_Institution
Regional Center, Dept. of Comput. Sci. & Eng., Anna Univ., Tiruchirappalli, India
fYear
2013
fDate
23-24 Aug. 2013
Firstpage
1
Lastpage
5
Abstract
In recent years, the popularity of social networking sites proves a lofty raise in their users. Twitter, a micro blogging service less than seven years old, commands more than 500 million users as of July 2012 and is still growing fast. In Twitter, users exchange their ideas through a text based posts called tweets which can have maximum 140 characters. The prevalence and open structure of Twitter paved a way for automated programs, known as bots, which becomes a tremendous threat for its users. In this paper, we differentiate the trustworthy human users and the automated programs (bots) to make the user understand with whom they are interacting with. We developed a few sample of bot programs to compare their characteristics with the characteristics of normal human user. We observed the difference among human and bot in terms of tweeting behavior, tweet content, account properties and its networking flow characteristics. Based on the experimental results, we effectively differentiate the users into human and bot.
Keywords
invasive software; social networking (online); trusted computing; Twitter; account properties; bot programs; microblogging service; networking flow characteristics; social networking sites; text based posts; tweet content; tweeting behavior; Automation; Conferences; Feature extraction; Flow graphs; Internet; Twitter; Bot Security; Network; Twitter; classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Human Computer Interactions (ICHCI), 2013 International Conference on
Conference_Location
Chennai
Type
conf
DOI
10.1109/ICHCI-IEEE.2013.6887787
Filename
6887787
Link To Document