Video spam and public opinion in current Middle Eastern conflicts Online publication date: Mon, 03-Feb-2014
by Izzat Alsmadi; Mohammed Naji Al-Kabi; Heider Wahsheh; Bassima Bassam
International Journal of Social Network Mining (IJSNM), Vol. 1, No. 3/4, 2013
Abstract: Social networks studies aim to discover the public opinions related to products, news, issues, etc. However, the level of trust or credibility of such public opinion evaluations may have the risk of being influenced artificially by opposite groups. Such deception can be easier to accomplish through the web in comparison with real life where face to face verification may challenge such deception methods. In this paper, we evaluated credibility in social networks. YouTube is used as a case study and we studied spamming techniques (e.g., keyword stuffing) that are widely used in this video streaming in order to improve visibility and bring public attention to the subject videos. Results and evaluation showed that currently such streaming applications do not impose any structural techniques on the kind of tagging or keywords that are included in the uploaded videos to ensure that such tags or keywords are relevant to the video content.
Online publication date: Mon, 03-Feb-2014
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Social Network Mining (IJSNM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com