Big Tech Dominance Despite Global Mistrust

IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS IEEE Transactions on Computational Social Systems Pub Date : 2024-01-02 DOI:10.1109/TCSS.2023.3339183
Hazem Ibrahim;Mikolaj Debicki;Talal Rahwan;Yasir Zaki
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Abstract

The technological and online experiences of billions worldwide are dominated by a handful of companies known as “Big Tech.” Despite this being a cause for concern in governmental, economic, and ethical spheres, the literature lacks a study exploring the impact of public scandals on, and the global sentiment toward, Big Tech. Here, we quantify the power of Big Tech by analyzing their acquisitions, market capitalization, and number of monthly active users. Moreover, we utilize the synthetic control method to estimate the effect of public scandals on the stock price of two Big Tech companies, and find that they had no lasting effect. We also analyze the number of tweets mentioning these scandals, and find that they quickly fade from the spotlight. To explore public sentiment, we survey 5300 participants across 25 countries, and find that those from countries with lower digital literacy and more authoritarian regimes are more trusting of Big Tech. Furthermore, we find that one in three feels they lack control over the data collected about them, and one in four feels that Big Tech knows what they are thinking, knows more about them than their best friend, and may even be secretly listening to their conversations. Additionally, one in four feels addicted to Big Tech products, have no choice but to use them, and wishes there were more companies to choose from. These findings highlight the adverse effect of the oligopolistic nature of Big Tech on consumer choice and help inform policy-makers aiming to curb their dominance.
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尽管全球互不信任,大型科技公司仍占据主导地位
被称为 "大科技 "的少数几家公司主导着全球数十亿人的技术和网络体验。尽管这引起了政府、经济和道德领域的关注,但文献中缺乏一项研究来探讨公开丑闻对大科技公司的影响以及全球对大科技公司的看法。在此,我们通过分析大科技公司的收购、市值和月活跃用户数量来量化其实力。此外,我们还利用合成控制法估算了公开丑闻对两家大科技公司股价的影响,结果发现公开丑闻并没有产生持久影响。我们还分析了提及这些丑闻的推文数量,发现它们很快就从聚光灯下消失了。为了探究公众情绪,我们对 25 个国家的 5300 名参与者进行了调查,结果发现,那些来自数字素养较低、政权较为专制的国家的人更信任大科技公司。此外,我们还发现,每三个人中就有一人认为他们无法控制收集到的有关他们的数据,每四个人中就有一人认为大科技公司知道他们在想什么,比他们最好的朋友还了解他们,甚至可能在秘密监听他们的谈话。此外,每四人中就有一人对大科技公司的产品感到上瘾,别无选择,只能使用它们,并希望有更多的公司可供选择。这些发现凸显了大科技公司的寡头垄断性质对消费者选择的不利影响,有助于为旨在遏制其主导地位的政策制定者提供信息。
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来源期刊
IEEE Transactions on Computational Social Systems
IEEE Transactions on Computational Social Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
10.00
自引率
20.00%
发文量
316
期刊介绍: IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.
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Table of Contents Guest Editorial: Special Issue on Dark Side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation IEEE Transactions on Computational Social Systems Publication Information IEEE Transactions on Computational Social Systems Information for Authors IEEE Systems, Man, and Cybernetics Society Information
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