They’re Coming for You! How Perceptions of Automation Affect Public Support for Universal Basic Income

IF 3 2区社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Social Science Computer Review Pub Date : 2023-11-08 DOI:10.1177/08944393231212252

Kathryn Haglin, Soren Jordan, Grant Ferguson

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引用次数: 0

Abstract

Media stories on the economy tout automation as one of the biggest contemporary technological changes in America and argue that many Americans may lose their jobs because of it. Politicians and financial elites often promote a policy of Universal Basic Income (UBI) as a solution to the potential unemployment caused by automation, suggesting Americans should support UBI to protect them from this technological disruption. This linkage and basic descriptive findings are largely untested: we don’t know much about whether Americans support UBI, see automation as a threat to their job, or connect the two in any meaningful way. Using a Mechanical Turk survey of 3600 respondents, we examine the relationship between Americans’ perception of how much automation threatens their jobs, how much automation actually threatens their jobs, and their support for UBI. Our results indicate that while the public does not view automation as the same threat that elites do, Americans who believe their jobs will be automated are more likely to support UBI. These relationships, however, vary considerably by political party.

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他们来找你了!对自动化的认知如何影响公众对全民基本收入的支持

有关经济的媒体报道将自动化吹捧为美国当代最大的技术变革之一，并辩称许多美国人可能因此失去工作。政治家和金融精英经常推动全民基本收入(UBI)政策，作为自动化造成的潜在失业的解决方案，建议美国人应该支持全民基本收入，以保护他们免受这种技术破坏。这种联系和基本的描述性发现在很大程度上未经检验:我们不太清楚美国人是否支持UBI，是否将自动化视为对他们工作的威胁，或者是否以任何有意义的方式将两者联系起来。使用Mechanical Turk对3600名受访者的调查，我们研究了美国人对自动化威胁他们工作的程度的看法，自动化实际威胁他们工作的程度，以及他们对UBI的支持之间的关系。我们的研究结果表明，虽然公众并不像精英们那样将自动化视为威胁，但相信自己的工作将被自动化的美国人更有可能支持全民基本收入。然而，这些关系因政党而异。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Social Science Computer Review 社会科学-计算机：跨学科应用

CiteScore

9.00

自引率

4.90%

发文量

审稿时长

>12 weeks

期刊介绍： Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.