cover of episode CM 283: Sandra Matz on Protecting Our Privacy Online

CM 283: Sandra Matz on Protecting Our Privacy Online

2025/1/12
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Curious Minds at Work

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Gail Allen
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Sandra Matz
通过大数据和计算社会科学方法研究人类行为和数字足迹的专家。
Topics
@Gail Allen : 本期节目探讨了科技公司如何利用我们的数据,以及我们如何保护自己的隐私和自主权。我们讨论了科技公司利用数据进行心理定向广告的方法,以及一些有希望的应对策略,例如建立更好的数据生态系统和数据合作社。 @Sandra Matz : 我研究了科技公司如何利用数据进行心理定向广告,以及这种做法如何将权力掌握在他们手中。我们每天与科技互动都会留下数据足迹,这些数据可以被用来了解我们的心理和性格特征,并以此改变我们的行为。例如,分析Facebook点赞可以比亲友更准确地预测性格。我们通过显性身份声明(例如社交媒体发帖)和行为残留(例如谷歌搜索、信用卡消费、智能手机感应)等方式留下数字足迹。少量消费数据就能识别个人身份,并预测性格特征。GPS数据可以作为早期预警系统,帮助识别潜在的抑郁症患者。在与美容零售商和希尔顿酒店的合作中,我尝试根据用户的性格特征定制广告内容和服务,取得了显著效果。然而,我也意识到这种技术可能被滥用,因此我开始致力于利用心理定向技术帮助人们做出更好的选择,例如帮助人们储蓄。为了解决数据隐私问题,我们需要构建更好的数据生态系统,例如对数据收集和使用进行收费,并建立数据合作社,让数据为成员创造价值。分布式学习或联邦学习可以帮助打破隐私与便利之间的二元对立,同时兼顾数据隐私和个性化服务。 Gail Allen: 我们讨论了科技公司如何利用我们的数据,以及我们如何保护自己的隐私和自主权。我们讨论了科技公司利用数据进行心理定向广告的方法,以及一些有希望的应对策略,例如建立更好的数据生态系统和数据合作社。

Deep Dive

Chapters
This chapter explores the use of data for psychological targeting, illustrating how analyzing a user's Facebook likes can reveal more about their personality than their close relationships. It discusses how data from various sources is used to understand and potentially change human behavior.
  • Analyzing Facebook likes reveals personality traits better than close friends and family.
  • Talking about oneself triggers a brain response similar to receiving money or having sex.
  • The study highlights the accuracy of personality prediction using digital data.

Shownotes Transcript

With few exceptions, we have digital footprints. And each time we scroll social media, run a Google search, or use a smartphone to navigate, we’re adding data to that footprint. While we gain a lot from our ability to do all these things, we also feed companies the data they need to target us. Sandra Matz is a computational social scientist and professor at Columbia Business School. Over the course of her career, she’s consulted with companies eager to profit from our data. In recent years, she’s intentionally shifted her consulting work in support of organizations that want to protect consumer data. In this interview, I talk to Matz about her book, Mindmasters: The Data-Driven Science of Predicting and Changing Human Behavior. We discuss the methods companies use to profile us and how that profiling puts all the power in their hands. We also discuss promising ideas for pushing back, including solutions to empower and unite us. Matz has written an accessible, highly readable book that anyone with a smartphone needs to read.  Episode Links Now Isn’t the Time to Give Users Control of Their Data Divided We Stand Interview with Eric Johnson on the Science of Decision-Making The Team Learn more about host, Gayle Allen, and producer, Rob Mancabelli, here. Support the Podcast If you like the show, please rate and review it on iTunes or wherever you subscribe, and tell a friend or family member about the show. Subscribe Click here and then scroll down to see a sample of sites where you can subscribe.