By the Crowd and for the Crowd: Perceived Utility and Willingness to Contribute to Trustworthiness Indicators on Social Media

Author:

Grandhi Sukeshini1,Plotnick Linda2,Hiltz Starr Roxanne2

Affiliation:

1. Eastern Connecticut State University, Willimantic, CT, USA

2. New Jersey Institute of Technology, Newark, NJ, USA

Abstract

This study explores how people perceive the potential utility of trustworthiness indicators and how willing they are to consider contributing to them as a way to combat the problem of misinformation and disinformation on social media. Analysis of qualitative and quantitative data from the survey (N=376) indicates that a majority of respondents believe trustworthiness indicators would be valuable as they can reduce uncertainty and provide guidance on how to interact with content. However, perceptions of how and when these indicators can provide value vary widely in detail. A majority of respondents are also willing to contribute to trustworthiness indicators on social media to some extent due to their sense of duty and personal expertise in information verification practices but are very wary of the effort or burden it would place on them. Respondents who did not want to use or contribute to trustworthiness indicators attributed it to their lack of faith in the concept of trustworthiness indicators stemming from perceived inherent and unsurmountable biases on social media. Together our findings highlight the complexity of designing, structuring and presenting trustworthiness indicators keeping in mind the diverse set of user attitudes and perceptions.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3