Editorial responsibilities arising from personalization algorithms

Koene Ansgar, Vallejos Elvira Perez, Webb Helena, Patel Menisha, Ceppi Sofia, Jirotka Marina, McAuley Derek
{"title":"Editorial responsibilities arising from personalization algorithms","authors":"Koene Ansgar,&nbsp;Vallejos Elvira Perez,&nbsp;Webb Helena,&nbsp;Patel Menisha,&nbsp;Ceppi Sofia,&nbsp;Jirotka Marina,&nbsp;McAuley Derek","doi":"10.29297/orbit.v1i1.26","DOIUrl":null,"url":null,"abstract":"<div><p>Social media platforms routinely apply personalization algorithms to ensure the content presented to the user is relevant and engaging. These algorithms are designed to prioritize and make some pieces of information more visible than others. However, there is typically no transparency in the criteria used for ranking the information, and more importantly, the consequences that the resulting content could have on users. Social media platforms argue that because they do not alter content, just reshape the way it is presented to the user, they are merely technological companies (not media companies). We highlight the value of a Responsible Research and innovation (RRI) approach to the design, implementation and use of personalization algorithms. Based on this and in combination with reasoned analysis and the use of case studies, we suggest that social media platforms should take editorial responsibility and adopt a code of ethics to promote corporate social responsibility.</p></div>","PeriodicalId":101247,"journal":{"name":"The ORBIT Journal","volume":"1 1","pages":"Pages 1-12"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2515856220300687/pdf?md5=2d6c01a38ac8fa394d62af2cf6b04110&pid=1-s2.0-S2515856220300687-main.pdf","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The ORBIT Journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2515856220300687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Social media platforms routinely apply personalization algorithms to ensure the content presented to the user is relevant and engaging. These algorithms are designed to prioritize and make some pieces of information more visible than others. However, there is typically no transparency in the criteria used for ranking the information, and more importantly, the consequences that the resulting content could have on users. Social media platforms argue that because they do not alter content, just reshape the way it is presented to the user, they are merely technological companies (not media companies). We highlight the value of a Responsible Research and innovation (RRI) approach to the design, implementation and use of personalization algorithms. Based on this and in combination with reasoned analysis and the use of case studies, we suggest that social media platforms should take editorial responsibility and adopt a code of ethics to promote corporate social responsibility.

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
个性化算法带来的编辑责任
社交媒体平台通常会应用个性化算法,以确保呈现给用户的内容是相关的、引人入胜的。这些算法被设计为优先排序,并使一些信息比其他信息更明显。然而,用于信息排序的标准通常不透明,更重要的是,结果内容可能对用户产生的后果不透明。社交媒体平台辩称,因为它们不改变内容,只是重塑内容呈现给用户的方式,所以它们只是科技公司(而不是媒体公司)。我们强调负责任的研究和创新(RRI)方法在个性化算法的设计、实施和使用中的价值。基于此,结合理性分析和案例研究,我们建议社交媒体平台应该承担编辑责任,并采用道德准则来促进企业的社会责任。
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
Ethical Implications of Predictive Risk Intelligence Setting future ethical standards for ICT, Big Data, AI and robotics Case Study The Internet of Things and Ethics Ethics of Public Use of AI and Big Data Ethics of Using Smart City AI and Big Data: The Case of Four Large European Cities
×
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