Czech teens’ experiences with sexting on Instagram

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS IPSI BgD Transactions on Internet Research Pub Date : 2023-01-01 DOI:10.58245/ipsi.tir.2301.07
Petr Šaloun, M. Kolářová, Milan Klement, Kvetoslav Bartek, David Andresic, M. Malčík
{"title":"Czech teens’ experiences with sexting on Instagram","authors":"Petr Šaloun, M. Kolářová, Milan Klement, Kvetoslav Bartek, David Andresic, M. Malčík","doi":"10.58245/ipsi.tir.2301.07","DOIUrl":null,"url":null,"abstract":"The text focuses on dangerous phenomena in communication via online platforms. It defines the key terms for this area and informs about the selected research conducted in the Czech Republic. In our own research, we focused on the issue of teenage sexting on a specific communication platform - Instagram. This platform is very popular among Czech teenagers, as it is worldwide. The platform very often ranks among the top 3 most popular platforms, it allows sending and sharing both text and graphic messages - pictures, gifs and video sequences. In 2021, we conducted an online research survey among nearly 3,500 respondents aged 15 - 20. We were interested in whether and to what extent the respondents have experienced sexting, what is the ratio of male to female recipients of sexting or sexual content, who is the most frequent sender of sexting content etc. We were also interested in the topic of safety in social networks. The results of the survey then show a greater need to promote information literacy, computational thinking and safe behavior on social networks as well as safe use of ICT.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IPSI BgD Transactions on Internet Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58245/ipsi.tir.2301.07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

The text focuses on dangerous phenomena in communication via online platforms. It defines the key terms for this area and informs about the selected research conducted in the Czech Republic. In our own research, we focused on the issue of teenage sexting on a specific communication platform - Instagram. This platform is very popular among Czech teenagers, as it is worldwide. The platform very often ranks among the top 3 most popular platforms, it allows sending and sharing both text and graphic messages - pictures, gifs and video sequences. In 2021, we conducted an online research survey among nearly 3,500 respondents aged 15 - 20. We were interested in whether and to what extent the respondents have experienced sexting, what is the ratio of male to female recipients of sexting or sexual content, who is the most frequent sender of sexting content etc. We were also interested in the topic of safety in social networks. The results of the survey then show a greater need to promote information literacy, computational thinking and safe behavior on social networks as well as safe use of ICT.
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
捷克青少年在Instagram上发色情短信的经历
本文关注的是通过网络平台交流的危险现象。它定义了该领域的关键术语,并介绍了在捷克共和国进行的选定研究。在我们自己的研究中,我们关注的是青少年在一个特定的交流平台——Instagram上发色情短信的问题。这个平台在捷克青少年中很受欢迎,就像在世界范围内一样。该平台经常位列最受欢迎的3大平台之列,它允许发送和分享文字和图形信息——图片、动图和视频序列。2021年,我们对近3500名15 - 20岁的受访者进行了在线研究调查。我们感兴趣的是受访者是否和在多大程度上经历过色情短信,男性和女性接收色情短信或色情内容的比例是多少,谁是最经常发送色情短信的人等等。我们也对社交网络中的安全问题感兴趣。调查结果显示,更需要促进信息素养、计算思维和社交网络上的安全行为,以及安全使用信息通信技术。
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
IPSI BgD Transactions on Internet Research
IPSI BgD Transactions on Internet Research COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
25.00%
发文量
0
期刊最新文献
LVRF: A Latent Variable Based Approach for Exploring Geographic Datasets An Organizational Perspective of Human Resource Modeling A Decision Support System for Internal Migration Policy-Making "Towards Real-time House Detection in Aerial Imagery Using Faster Region-based Convolutional Neural Network" "Detecting and Removing Clouds Affected Regions from Satellite Images Using Deep Learning"
×
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