Showing posts with label Online Social Network. Show all posts
Showing posts with label Online Social Network. Show all posts

Online Social Network as a Tool for Facilitating e-Learning in Tanzania


Published in International Journal of Open Information Technologies ISSN: 2307-8162 Volume 2, Number 10, October 2014.

Abstract

The main delivery system in Tanzanian education has been face-to-face approach relying on printed educational materials. High cost of books and insufficient teaching materials are still the major challenges. Recently, Online Social Networks (OSN) have gained popularity across the world and they are used for sharing information, news, chatting, messaging, and keeping in touch with friends. Studies have shown that OSNs can be used as tools for facilitating learning, supplementing face-to-face approach. Currently, there is an increase in the number of local OSN sites and subscribers in Tanzania. This paper examines to what extent are local OSNs in Tanzania exploited as e-learning platforms. Moreover, it addresses the student’s perceived challenges and discusses the opportunities of using local OSNs towards fostering students' academic development

Citation:   Fredrick R. Ishengoma and Adam B. Mtaho, “ Online Social Network as a Tool for Facilitating e-Learning in Tanzania”, International Journal of Open Information Technologies ISSN: 2307-8162 Volume 2, Number 10, October 2014.

Online Social Networks and Terrorism 2.0 in Developing Countries

Abstract

The advancement in technology has brought a new era in terrorism where Online Social Networks (OSNs) have become a major platform of communication with wide range of usage from message channelling to propaganda and recruitment of new followers in terrorist groups. Meanwhile, during the terrorist attacks people use OSNs for information exchange, mobilizing and uniting and raising money for the victims. This paper critically analyses the specific usage of OSNs in the times of terrorisms attacks in developing countries. We crawled and used Twitter’s data during Westgate shopping mall terrorist attack in Nairobi, Kenya. We then analysed the number of tweets, ge-location of tweets, demographics of the users and whether users in developing countries tend to tweet, retweet or reply during the event of a terrorist attack. We define new metrics (reach and impression of the tweet) and present the models for calculating them. The study findings show that, users from developing countries tend to tweet more at the first and critical times of the terrorist occurrence. Moreover, large number of tweets originated from the attacked country (Kenya) with 73% from men and 23% from women where original posts had a most number of tweets followed by replies and retweets.    

This research work was published  in International Journal of Computer Science and Network Solutions (ISSN: 2345 - 3397)Volume 1 issue 4.