Web-based Advertisements and Behavioral Impacts on Adolescents: A review

Sangeet Kaur Sandhu, G. Madaan
{"title":"Web-based Advertisements and Behavioral Impacts on Adolescents: A review","authors":"Sangeet Kaur Sandhu, G. Madaan","doi":"10.1109/InCACCT57535.2023.10141792","DOIUrl":null,"url":null,"abstract":"Adolescents and teens are vulnerable to behavioral impacts by unrestricted exposure to web-based advertisements. The behavioral impacts may be through addiction to drugs, tobacco products, alcohol and unrestricted consumerism, gambling, and unhealthy food habits. These behavioral impacts are severe and many of the popular remedial measures of parental regulation, and law reforms may not be effective. Comprehensive measures by way of regulations, law reforms, enforcement and education and improved awareness level among adolescence can only avoid the negative behavioral impacts of web-based advertisements among adolescents. The United States of America leads the research behavioral impacts of web-based advertisements among adolescents, with its dominance in document publication, and citations. The leading research affiliations and funding agencies are also from the United States of America. This review includes a bibliometric review and thematic analysis of the behavioral impacts of web-based advertisements among adolescents, based on Scopus publications since 2005. A limited set of documents and poor collaborations are the major limitations of the research related to the behavioral impacts of web-based advertisements among adolescents.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InCACCT57535.2023.10141792","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

Adolescents and teens are vulnerable to behavioral impacts by unrestricted exposure to web-based advertisements. The behavioral impacts may be through addiction to drugs, tobacco products, alcohol and unrestricted consumerism, gambling, and unhealthy food habits. These behavioral impacts are severe and many of the popular remedial measures of parental regulation, and law reforms may not be effective. Comprehensive measures by way of regulations, law reforms, enforcement and education and improved awareness level among adolescence can only avoid the negative behavioral impacts of web-based advertisements among adolescents. The United States of America leads the research behavioral impacts of web-based advertisements among adolescents, with its dominance in document publication, and citations. The leading research affiliations and funding agencies are also from the United States of America. This review includes a bibliometric review and thematic analysis of the behavioral impacts of web-based advertisements among adolescents, based on Scopus publications since 2005. A limited set of documents and poor collaborations are the major limitations of the research related to the behavioral impacts of web-based advertisements among adolescents.
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
网络广告与青少年行为影响研究综述
青少年容易受到无限制接触网络广告的行为影响。行为上的影响可能是通过对毒品、烟草产品、酒精和无限制的消费、赌博和不健康的饮食习惯的依赖。这些行为的影响是严重的,许多流行的补救措施的父母监管和法律改革可能不会有效。只有通过法规、法律改革、执法和教育等综合措施,提高青少年的意识水平,才能避免网络广告对青少年的负面行为影响。美国在网络广告对青少年行为影响的研究方面处于领先地位,在文件发表和引用方面占主导地位。主要的研究机构和资助机构也来自美利坚合众国。本文基于2005年以来的Scopus出版物,对网络广告对青少年行为的影响进行了文献计量学回顾和专题分析。有限的文件和缺乏合作是网络广告对青少年行为影响研究的主要限制。
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
自引率
0.00%
发文量
0
期刊最新文献
Use of Swarm intelligence algorithms in Internet of Things-based systems: A Comprehensive review Data driven approach to identify a flow-based Botnet Host using Deep Learning Underwater image re-enhancement with blend of Simplest Colour Balance and Contrast Limited Adaptive Histogram Equalization Algorithm Intelligent Control Design for Quadrotor Perching Application using Neural-Network Augmented Direct Inversion Control Approach Designing of an Efficient Model for Violence Detection Using Advance Deep Learning Techniques
×
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