HOW POPULAR IS SOCIAL MEDIA IMAGE GRATIFICATION AS A RESEARCH THEME IN TOP JOURNALS?

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Irma Syarlina Che Ilias, S. Ramli, Muslihah Wook, Nor Asiakin Hasbullahi
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引用次数: 1

Abstract

Understanding why people use social media provides an insight into the nature of behaviours in social networking where sharing images or photos and like other users’ posts are some preferred social media user’s behaviours. Theory of Uses and Gratifications posits that the audience actively chooses a type of media that suits their needs. Motivations are explained by the questions of why users use social media and what gratifications they derive from their use, and whether they prefer to use images rather than texts or even videos. Prior studies found that there are distinctly different gratifications resulting from the use of images in social media. This research paper hereby explores a thematic review of the top journals regarding the motives of image use in social media from the year 2017 to 2020. The strategy of the research was to investigate through a comprehensive number of review articles on the images used in social media and the result was then analysed. From the literature, the findings of the code-to-document report have highlighted several research patterns or themes in the motives of image use in social media. The results benefit the future direction of later research and narrow the gap between research solutions on image use in social media in the context of gratifications.
社交媒体形象满足作为顶级期刊的研究主题有多受欢迎?
了解人们使用社交媒体的原因可以洞察社交网络行为的本质,在社交网络中,分享图片或照片以及点赞其他用户的帖子是一些首选的社交媒体用户行为。使用与满足理论认为受众会主动选择适合自己需求的媒介类型。动机可以通过以下问题来解释:用户为什么使用社交媒体,他们从使用社交媒体中获得了什么满足,以及他们是否更喜欢使用图像而不是文本甚至视频。先前的研究发现,在社交媒体中使用图像会产生明显不同的满足感。本研究论文在此对2017年至2020年社交媒体中图像使用动机的顶级期刊进行了专题回顾。该研究的策略是通过对社交媒体上使用的图像的综合评论文章进行调查,然后对结果进行分析。从文献中,代码到文档报告的发现突出了社交媒体中图像使用动机的几个研究模式或主题。研究结果有利于后续研究的未来方向,缩小了满足背景下社交媒体图像使用研究方案之间的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Malaysian Journal of Computer Science
Malaysian Journal of Computer Science COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
2.20
自引率
33.30%
发文量
35
审稿时长
7.5 months
期刊介绍: The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication.  The journal is being indexed and abstracted by Clarivate Analytics'' Web of Science and Elsevier''s Scopus
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