What financial topics do people search for? An analysis of search queries using text mining

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information Science Pub Date : 2024-05-08 DOI:10.1177/01655515241227533
Nursabrina Abdul Jalil, Suraya Hamid
{"title":"What financial topics do people search for? An analysis of search queries using text mining","authors":"Nursabrina Abdul Jalil, Suraya Hamid","doi":"10.1177/01655515241227533","DOIUrl":null,"url":null,"abstract":"Billions of web searches are recorded every day; however, little is known about the types of financial information that users search for. While many studies have investigated information exchanges in financial forums, this is the first study to identify the financial information needs of Internet users in Malaysia through an analysis of search queries. We identified financial topics and discovered subtopics of interest using text mining. We found that topics with high search volume were related to financial products and services, and very little was related to concepts and information that would increase financial knowledge. The results of this study can be used to develop more strategic online financial education content that not only meets users’ financial information needs but also increases their financial knowledge, especially when the financial knowledge of the global population has remained low over the years.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"12 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/01655515241227533","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Billions of web searches are recorded every day; however, little is known about the types of financial information that users search for. While many studies have investigated information exchanges in financial forums, this is the first study to identify the financial information needs of Internet users in Malaysia through an analysis of search queries. We identified financial topics and discovered subtopics of interest using text mining. We found that topics with high search volume were related to financial products and services, and very little was related to concepts and information that would increase financial knowledge. The results of this study can be used to develop more strategic online financial education content that not only meets users’ financial information needs but also increases their financial knowledge, especially when the financial knowledge of the global population has remained low over the years.
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
人们搜索哪些金融话题?利用文本挖掘对搜索查询进行分析
每天有数十亿次网络搜索记录;然而,人们对用户搜索的金融信息类型知之甚少。虽然许多研究都对金融论坛中的信息交流进行了调查,但这是第一项通过分析搜索查询来确定马来西亚互联网用户金融信息需求的研究。我们确定了金融主题,并通过文本挖掘发现了用户感兴趣的子主题。我们发现,搜索量较高的主题与金融产品和服务有关,而与增加金融知识的概念和信息有关的主题则很少。这项研究的结果可用于开发更具战略性的在线金融教育内容,不仅能满足用户的金融信息需求,还能增加他们的金融知识,尤其是在多年来全球人口的金融知识水平一直较低的情况下。
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 去求助
来源期刊
Journal of Information Science
Journal of Information Science 工程技术-计算机:信息系统
CiteScore
6.80
自引率
8.30%
发文量
121
审稿时长
4 months
期刊介绍: The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.
期刊最新文献
Government chatbot: Empowering smart conversations with enhanced contextual understanding and reasoning Knowing within multispecies families: An information experience study How are global university rankings adjusted for erroneous science, fraud and misconduct? Posterior reduction or adjustment in rankings in response to retractions and invalidation of scientific findings Predicting the technological impact of papers: Exploring optimal models and most important features Cross-domain corpus selection for cold-start context
×
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