International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 114 - Number 19 |
Year of Publication: 2015 |
Authors: Nikita Jain, Pooja Agarwal, Juhi Pruthi |
10.5120/20085-2111 |
Nikita Jain, Pooja Agarwal, Juhi Pruthi . HashJacker- Detection and Analysis of Hashtag Hijacking on Twitter. International Journal of Computer Applications. 114, 19 ( March 2015), 17-20. DOI=10.5120/20085-2111
Social media has become a multi purpose platform where users tend to discuss their common topics of interest as well as utilise it for endorsement and campaigns. Twitter being one of the most widely used social media platforms,provides a mechanism known as Hashtag which enables diversified online users, having coinciding interests to connect with each other. Hashtagging a tweet provides the most effective way of promoting a content as it steadily acquires the reader's attention because of it's symbolic denotation. With increasing hits on a particular Hashtag, it comes under one of the "trending topics". Soon this trending topic becomes a line of sight for people using Twitter. Users tend to hijack these popular Hashtags for distributing un-related content, spam, negative sentiments to tarnish the intended motive of Hashtag making its presence counter-productive. We propose a tool: HashJacker which detects and analyses hijacking of Hashtag tweets. Also, we have discussed best practises to circumvent wrecked Hashtag tweets.