用Q方法论增强社会媒体研究:一些指导原则

Q3 Business, Management and Accounting Electronic Journal of Business Research Methods Pub Date : 2019-09-01 DOI:10.34190/jbrm.17.3.005
Charmaine du Plessis
{"title":"用Q方法论增强社会媒体研究:一些指导原则","authors":"Charmaine du Plessis","doi":"10.34190/jbrm.17.3.005","DOIUrl":null,"url":null,"abstract":"This paper proposes that social media studies could be\n complemented with Q methodology when a topic that plays out in\n social media is complex, controversial or sensitive to allow for\n deep‑seated, integrated online and off‑line perspectives. Although\n the Fourth Industrial Revolution brought researchers more\n opportunities and advantages to study topics that were previously\n inaccessible, using technologies for research does not come without\n challenges. This is especially the case with social media studies\n comprising large datasets and where it is not always possible to\n identify fake profiles, bots, spam or manipulated information\n without having access to advanced data analysis software. Another\n point is that views expressed in social media do not always\n represent offline perspectives. However, while Q methodology has,\n over the years, adapted its techniques to accommodate new\n technologies, more can be done to embrace a web 2.0 environment. Why\n and how social media studies could be augmented with Q methodology\n to reveal individuals’ perspectives and attitudes about topics will\n be examined and potential difficulties will be highlighted. Not yet\n a mainstream method, Q methodology combines the strengths of two\n robust qualitative and quantitative methods sequentially to reveal\n and isolate the subjective perspectives of groups of participants.\n This methodology could, therefore, be useful when a social media\n study puts forward novel ideas and findings that should be supported\n by offline views. In this regard, the paper provides some guidelines\n by referring to the five phases of a Q study and describing how a\n social media study could not only benefit from but also apply Q\n methodology to augment results. Supplementing social media research\n with Q methodology could be empowering and provide opportunities for\n further research and debate.","PeriodicalId":38532,"journal":{"name":"Electronic Journal of Business Research Methods","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Augmenting Social Media Research with Q Methodology: Some\\n Guiding Principles\",\"authors\":\"Charmaine du Plessis\",\"doi\":\"10.34190/jbrm.17.3.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes that social media studies could be\\n complemented with Q methodology when a topic that plays out in\\n social media is complex, controversial or sensitive to allow for\\n deep‑seated, integrated online and off‑line perspectives. Although\\n the Fourth Industrial Revolution brought researchers more\\n opportunities and advantages to study topics that were previously\\n inaccessible, using technologies for research does not come without\\n challenges. This is especially the case with social media studies\\n comprising large datasets and where it is not always possible to\\n identify fake profiles, bots, spam or manipulated information\\n without having access to advanced data analysis software. Another\\n point is that views expressed in social media do not always\\n represent offline perspectives. However, while Q methodology has,\\n over the years, adapted its techniques to accommodate new\\n technologies, more can be done to embrace a web 2.0 environment. Why\\n and how social media studies could be augmented with Q methodology\\n to reveal individuals’ perspectives and attitudes about topics will\\n be examined and potential difficulties will be highlighted. Not yet\\n a mainstream method, Q methodology combines the strengths of two\\n robust qualitative and quantitative methods sequentially to reveal\\n and isolate the subjective perspectives of groups of participants.\\n This methodology could, therefore, be useful when a social media\\n study puts forward novel ideas and findings that should be supported\\n by offline views. In this regard, the paper provides some guidelines\\n by referring to the five phases of a Q study and describing how a\\n social media study could not only benefit from but also apply Q\\n methodology to augment results. Supplementing social media research\\n with Q methodology could be empowering and provide opportunities for\\n further research and debate.\",\"PeriodicalId\":38532,\"journal\":{\"name\":\"Electronic Journal of Business Research Methods\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Journal of Business Research Methods\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34190/jbrm.17.3.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Journal of Business Research Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34190/jbrm.17.3.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 1

摘要

本文提出,当社交媒体上出现的话题复杂、有争议或敏感时,可以用Q方法来补充社交媒体研究,以允许深层次的、综合的在线和离线视角。虽然第四次工业革命给研究人员带来了更多的机会和优势来研究以前无法进入的课题,但利用技术进行研究并非没有挑战。社交媒体研究包含大量数据集,在没有高级数据分析软件的情况下,识别虚假个人资料、机器人、垃圾邮件或操纵信息并不总是可能的。另一点是,社交媒体上表达的观点并不总是代表线下的观点。然而,尽管Q方法学多年来一直在调整其技术以适应新技术,但在拥抱web 2.0环境方面还可以做得更多。为什么以及如何用Q方法来增强社会媒体研究,以揭示个人对主题的观点和态度,并强调潜在的困难。Q方法还不是一种主流方法,它结合了两种强大的定性和定量方法的优势,依次揭示和分离参与者群体的主观观点。因此,当社交媒体研究提出新颖的想法和发现时,这种方法可能是有用的,这些想法和发现应该得到线下观点的支持。在这方面,本文通过参考Q研究的五个阶段提供了一些指导方针,并描述了社交媒体研究如何不仅受益于Q方法,而且还应用Q方法来增加结果。用Q方法补充社会媒体研究可以授权并提供进一步研究和辩论的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Augmenting Social Media Research with Q Methodology: Some Guiding Principles
This paper proposes that social media studies could be complemented with Q methodology when a topic that plays out in social media is complex, controversial or sensitive to allow for deep‑seated, integrated online and off‑line perspectives. Although the Fourth Industrial Revolution brought researchers more opportunities and advantages to study topics that were previously inaccessible, using technologies for research does not come without challenges. This is especially the case with social media studies comprising large datasets and where it is not always possible to identify fake profiles, bots, spam or manipulated information without having access to advanced data analysis software. Another point is that views expressed in social media do not always represent offline perspectives. However, while Q methodology has, over the years, adapted its techniques to accommodate new technologies, more can be done to embrace a web 2.0 environment. Why and how social media studies could be augmented with Q methodology to reveal individuals’ perspectives and attitudes about topics will be examined and potential difficulties will be highlighted. Not yet a mainstream method, Q methodology combines the strengths of two robust qualitative and quantitative methods sequentially to reveal and isolate the subjective perspectives of groups of participants. This methodology could, therefore, be useful when a social media study puts forward novel ideas and findings that should be supported by offline views. In this regard, the paper provides some guidelines by referring to the five phases of a Q study and describing how a social media study could not only benefit from but also apply Q methodology to augment results. Supplementing social media research with Q methodology could be empowering and provide opportunities for further research and debate.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Electronic Journal of Business Research Methods
Electronic Journal of Business Research Methods Business, Management and Accounting-Business and International Management
CiteScore
1.40
自引率
0.00%
发文量
7
审稿时长
26 weeks
期刊介绍: The Electronic Journal of Business Research Methods (EJBRM) provides perspectives on topics relevant to research methods applied in the field of business and management. Through its publication the journal contributes to the development of theory and practice. The journal accepts academically robust papers that contribute to the area of research methods applied in business and management research. Papers submitted to the journal are double-blind reviewed by members of the reviewer committee or other suitably qualified readers. The Editor reserves the right to reject papers that, in the view of the editorial board, are either of insufficient quality, or are not relevant enough to the subject area. The editor is happy to discuss contributions before submission. The journal publishes work in the categories described below. Research Papers: These may be qualitative or quantitative, empirical or theoretical in nature and can discuss completed research findings or work in progress. Case Studies: Case studies are welcomed illustrating business and management research methods in practise. View Points: View points are less academically rigorous articles usually in areas of controversy which will fuel some interesting debate. Conference Reports and Book Reviews: Anyone who attends a conference or reads a book that they feel contributes to the area of Business Research Methods is encouraged to submit a review for publication.
期刊最新文献
Unraveling Endogeneity: A Systematic Review of Methodologies in Digital Leadership and Remote Work Research Double Bias of Mistakes: Essence, Consequences, and Measurement Method Statistically Validating a Theory Represented by a Venn Diagram How Cognitive Biases Influence Problematic Research Methods Practices Using Mixed Methods to Understand Tax Compliance Behaviour
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1