Responsibility networks in media discourses on automation: A comparative analysis of social media algorithms and social companions

Author:

Saurwein Florian1ORCID,Brantner Cornelia2ORCID,Möck Leonie3

Affiliation:

1. University of Zurich, Switzerland

2. Karlstad University, Sweden

3. University of Vienna, Austria

Abstract

The diffusion of algorithms, robots, and artificial intelligence has sparked public debates regarding opportunities, risks, and responsibility for addressing problems and developing solutions. Since media cover and shape sociotechnical imaginaries, this study investigates the Austrian media discourses on responsibility in two domains of automation: social media algorithms and social companions. Using a machine learning approach, relevant articles were identified, followed by a manual comparative content analysis. The findings indicate that media coverage of social media algorithms tends to be more critical compared to social companions. In the debate about social media algorithms, journalists emerge as the most common speakers raising responsibility issues and primarily attributing them to Internet platform providers. Conversely, responsibility for social robotics is predominantly articulated by experts, considering it as a responsibility shared by society, economy, and research. Furthermore, the media present different perspectives on the agency and responsibility of social media algorithms and social robots themselves.

Funder

Österreichischen Akademie der Wissenschaften

Publisher

SAGE Publications

Subject

Sociology and Political Science,Communication

Reference57 articles.

1. Mapping the public debate on ethical concerns: algorithms in mainstream media

2. Brennen JS, Howard PN, Nielsen RK (2018) An industry-led debate: how UK media cover artificial intelligence. Available at: https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2018-12/Brennen_UK_Media_Coverage_of_AI_FINAL.pdf

3. An Analysis of the Interaction Between Intelligent Software Agents and Human Users

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