INVESTIGATION OF SOCIAL ECONOMIC VARIABLES AS DETERMINANTS OF PREFERRED SOCIAL NETWORKING SITES

Sarah Gambo, C. Essien, Ochanya Ajii, Shem Woyopwa
{"title":"INVESTIGATION OF SOCIAL ECONOMIC VARIABLES AS DETERMINANTS OF PREFERRED SOCIAL NETWORKING SITES","authors":"Sarah Gambo, C. Essien, Ochanya Ajii, Shem Woyopwa","doi":"10.47851/naujocommed.v1i2.84","DOIUrl":null,"url":null,"abstract":"This paper sought to investigate the social economic variables as determinants of preferred social networking sites by International Students of Eastern Mediterranean University in North Cyprus. Social Networking Sites (SNS) platforms are gradually replacing the known, traditional means of communication as a result of new improved communication systems.The application of Social Networking Sites in our present generation is inevitable due to its efficiency and capability of connecting the whole globe in a second.These Social Networking Sites have made great contribution towards socio-cultural and economic development thereby re-ordering the world and making it a global village. Two platforms are considered in this research; Facebook and Instagram to know the right prediction based on the demography of users.  The research design is survey, while questionnaire was used as the instrument of data collection. Uses and Gratifications Theory is adopted as theoretical framework. Using SPSS for the analysis, the CHAID method with the help of a tree diagram shows that some of the demographic factors are better predictors of social media platforms when it comes to communication with specific places.","PeriodicalId":233484,"journal":{"name":"Nnamdi Azikiwe University Journal of Communication and Media Studies","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nnamdi Azikiwe University Journal of Communication and Media Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47851/naujocommed.v1i2.84","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper sought to investigate the social economic variables as determinants of preferred social networking sites by International Students of Eastern Mediterranean University in North Cyprus. Social Networking Sites (SNS) platforms are gradually replacing the known, traditional means of communication as a result of new improved communication systems.The application of Social Networking Sites in our present generation is inevitable due to its efficiency and capability of connecting the whole globe in a second.These Social Networking Sites have made great contribution towards socio-cultural and economic development thereby re-ordering the world and making it a global village. Two platforms are considered in this research; Facebook and Instagram to know the right prediction based on the demography of users.  The research design is survey, while questionnaire was used as the instrument of data collection. Uses and Gratifications Theory is adopted as theoretical framework. Using SPSS for the analysis, the CHAID method with the help of a tree diagram shows that some of the demographic factors are better predictors of social media platforms when it comes to communication with specific places.
社会经济变量作为首选社交网站的决定因素的调查
本文旨在调查北塞浦路斯东地中海大学国际学生首选社交网站的社会经济变量的决定因素。由于新的通信系统的改进,社交网站(SNS)平台正在逐渐取代已知的传统通信手段。社交网站在我们这一代的应用是不可避免的,因为它的效率和能力连接整个世界在一秒钟。这些社交网站为社会文化和经济发展作出了巨大贡献,从而重新安排了世界秩序,使其成为一个地球村。本研究考虑了两个平台;Facebook和Instagram根据用户的人口统计数据做出正确的预测。研究设计采用调查法,采用问卷作为数据收集的工具。采用使用与满足理论作为理论框架。使用SPSS进行分析,CHAID方法在树形图的帮助下表明,当涉及到与特定地点的通信时,一些人口统计因素可以更好地预测社交媒体平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信