Expose Data Exploitation: Data, Profiling, and Decision Making

Exposing companies' generation, collection, and exploitation of people's personal information.

 

Case Study

For those concerned by reporting of Facebook’s exploitation of user data to generate sensitive insights into its users, it is worth taking note of WeChat, a Chinese super-app whose success has made it the envy of Western technology giants, including Facebook. WeChat has more than 900 million users

Case Study

Our connected devices carry and communicate vast amounts of personal information, both visible and invisible.

What three things would you grab if your house was on fire? It’s a sure bet your mobile is going to rank pretty high. It’s our identity, saying more about us than we perhaps realise. It

Case Study

As society heads toward an ever more connected world, the ability for individuals to protect and manage the invisible data that companies and third parties hold about them, becomes increasingly difficult. This is further complicated by events like data breaches, hacks, and covert information

Case Study

Political campaigns around the world have turned into sophisticated data operations. In the US, Evangelical Christians candidates reach out to unregistered Christians and use a scoring system to predict how seriously millions these of voters take their faith. As early as 2008, the Obama campaign

Case Study

Financial services are collecting and exploiting increasing amounts of data about our behaviour, interests, networks, and personalities to make financial judgements about us, like our creditworthiness.

Increasingly, financial services such as insurers, lenders, banks, and financial mobile app

Case Study

Gig economy jobs that depend on mobile applications allow workers’ movements to be monitored, evaluated, and exploited by their employers.

The so-called “gig economy” has brought to light employers’ increasing ability and willingness to monitor employee performance, efficiency, and overall on-the

Case Study

Police and security services are increasingly outsourcing intelligence collection to third-party companies which are assigning threat scores and making predictions about who we are.

The rapid expansion of social media, connected devices, street cameras, autonomous cars, and other new technologies

Case Study

Introduction

Online, and increasingly offline, companies gather data about us that determine what advertisements we see; this, in turn, affects the opportunities in our lives. The ads we see online, whether we are invited for a job interview, or whether we qualify for benefits is decided by opaque

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