Adult Learners’ Digital Literacies on an Online Social Networking Site: Facebook

2019 ◽  
pp. 219-240
Author(s):  
Winnie Siu-yee Ho
Keyword(s):  
Adult Learners ◽  
Social Networking ◽  
Social Networking Site ◽  
Online Social Networking ◽  
Digital Literacies

scholarly journals A Trigger or a Muffler? - Examining the Dynamics of Crosscutting Exposure and Political Expression in Online Social Media

2013 ◽  
Vol 5 (1) ◽  
pp. 16-27
Author(s):  
Soo Young Bae
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Social Networking Site ◽  
Online Social Networking ◽  
Political Expression ◽  
Online Social Media ◽  
Candidate Support

This study explores the potential of online social media to serve as a sphere for political discourse and investigates the extent to which everyday uses of online social networking sites can expose citizens to politically diverse viewpoints.  In addition, this study asks whether such crosscutting exposure in online social networks will act as a trigger or a muffler for political expression – that is, whether exposure political difference will stimulate or discourage political discussions.  With analyses of a sample of online social networking site users in the context of the 2012 presidential election in South Korea, this study explicates the link between crosscutting exposure and citizens’ political expressions in social media.  Results reveal that contrary to the predictions in previous literature, exposure to politically incongruent viewpoints in online social networking sites does not seem to undermine users’ expressive behaviors but instead positively contribute to political expression.  In addition, this study shows the significant role of citizens’ perceptions of candidate support in their own networks, and illustrates that the dynamics of political expression differ significantly depending on the users’ age.

scholarly journals Information Retrieval, Self Directed Learning and Academic Performance among Facebook Users

2018 ◽  
Vol 3 (7) ◽  
pp. 49 ◽  
Author(s):  
Noorriati Din ◽  
Shireen Haron
Keyword(s):  
Information Retrieval ◽  
Academic Performance ◽  
Adult Learners ◽  
Social Networking ◽  
Publishing House ◽  
Online Social Networking ◽  
Self Directed Learning ◽  
The Public ◽  
Directed Learning ◽  
International Publishing

Online social networking refers to social network sites such as Facebook, Twitter, LinkedIn, Meetup, Tribe and MySpace. Since the inception, the number of online social networking is being created rapidly with many sophisticated features being developed ever since.  The Facebook has gained much popularity among the public mainly for interactions as well as for exchanging information. This study intends to investigate the information retrieval that occurs in the Facebook platform and if the process of retrieving information on the Facebook support academic performance.  Fifty-nine self-directed adult learners participated in this research. Keywords: Information retrieval; academic performance; self-directed learning; Facebook eISSN 2514-7528 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.    

scholarly journals Restriction Algorithm for Duplicate Posts on Online Social Networks: Facebook

2020 ◽  
Vol 6 (1) ◽  
pp. 33-38
Author(s):  
Babe Sultana ◽  
Md Nasir Hossain Hridoy ◽  
Mohammad Mohitul Islam ◽  
Ruhul Amin ◽  
Farzana Rahman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Networking ◽  
Online Social Networks ◽  
Computation Time ◽  
Research Paper ◽  
Social Networking Site ◽  
Second Step ◽  
Online Social Networking ◽  
Science And Engineering

Duplicate content or writing on online social networks is a material that shows up in many more than one location on Online Social Site, Pages etc. Nowadays Facebook is an online social networking site that connects people together during the form of expressing personal preferences and opinions as well as communication. In this research paper, we found detecting duplicate material in Facebook groups, pages, and trying to provide a solution for limiting this duplicate content, that is being posted to Facebook and other online social networks. We specified the solution to the issue in the first step and designed an algorithm called Restriction Algorithm for Duplicate Content, which is restricted to posting the copied content in more times on social networks like Facebook. In the second step, we have implemented it to validate our methodology and we have checked the identification of duplicate content of social media writing by using various social media posts as input tests and finally enriching the findings at a satisfactory stage. With optimal computation time, our proposed algorithm can handle large string sizes (more than 10,000 bytes). GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 6(1), Dec 2019 P 33-38

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