[BigDataSur] The Challenge of Decolonizing Big Data through Citizen Data Audits [2/3]

 

A First Attempt at Citizen Data Audits

Author: Katherine Reilly, Simon Fraser University, School of Communication

In the first post in this series, I explained that audits are used to check whether people are carrying out practices according to established standards or criteria. They are meant to ensure effective use of resources. Corporations audit their internal processes to make sure that they comply with corporate policy, while governments audit corporations to make sure that they comply with the law.

There is no reason why citizens or watchdogs can’t carry out audits as well. In fact, data privacy laws include some interesting frameworks that can facilitate this type of work. In particular, the EU’s General Data Privacy Regulation (GDPR) gives you the right to know how corporations are using your personal data, and also the ability to access the personal data that companies hold about you. This right is reproduced in the privacy legislation of many countries around the world from Canada and Chile to Costa Rica and Peru, to name just a few.

With this in mind, several years ago the Citizen Lab at the University of Toronto set up a website called Access My Info which helps people access the personal data that companies hold about them. Access My Info was set up as an experiment, so the site only includes a fixed roster of Canadian telecommunications companies, fitness trackers, and dating apps. It walks users through the process of submitting a personal data request to one of these companies, and then tracks whether the companies respond. The goal of this project was to crowdsource insights from citizens that would help researchers learn what companies know about their clients, how companies manage personal data, and who companies share data with. The results of this work have been used to advocate for changes to digital privacy laws.

Using this model as a starting point, in 2019, my team at SFU, and a team from the Peruvian digital rights advocate HiperDerecho, set up a website called SonMisDatos (Son Mis Datos translates as “It’s My Data”.) Son Mis Datos riffed on the open source platform developed by Access My Info, but made several important modifications. In particular, HiperDerecho’s Director, Miguel Morachimo, made the site database-driven so that it was easier to update the roster of corporate actors or their contact details. Miguel also decided to focus on companies that have a more direct material impact on the daily lives of Peruvians – such as gas stations, grocery stores and pharmacies. These companies have loyalty programs that are involved in collecting personal data about users.

Then we took things one step further. We used SonMisDatos to organize citizen data audits of Peruvian companies. HiperDerecho mobilized a team of people who work on digital rights in Peru, and we brought them together at two workshops. At the first workshop, we taught participants about their rights under Peru’s personal data protection laws, introduced SonMisDatos, and asked everyone to use the site to ask companies for access to their personal data. Companies need time to fulfill those requests, so then we waited for two months. At our second workshop, participants reported back on the results of their data requests, and then I shared a series of techniques for auditing companies on the basis of the personal data people had been able to access.

Our audit techniques explored the quality of the data provided, corporate compliance with data laws, how responsive companies were to data requests, the quality of their informed consent process, and several other factors. My favorite audit technique reflected a special feature of the data protection laws of Peru. In that country, companies are required to register databases of personal information with a state entity. The registry, which is published online, includes lists of companies, the titles of their databases, as well as the categories of data collected by each database. (The government does not collect the contents of the databases, it only registers their existence.)

With this information, our auditors were able to verify whether the data they got back from corporate actors was complete and accurate. In one case, the registry told us that a pharmaceutical company was collecting data about whether clients had children. However, in response to an access request, the company only provided lists of purchases organized by date, skew number, quantity and price. Our auditors were really bothered by this discovery, because it suggested that the company was making inferences about clients without telling them. Participants wondered how the company was using these inferences, and whether it might affect pricing, customer experience, access to coupons, or the like.

In another case, one of our auditors subscribed to DirecTV. To complete this process, he needed to provide his cell phone number plus his national ID number. He later realized that he had accidentally typed in the wrong ID number, because he began receiving cell phone spam addressed to another person. This was exciting, because it allowed us to learn which companies were buying personal data from DirecTV. It also demonstrated that DirecTV was doing a poor job of managing their customer’s privacy and security! However, during the audit we also looked back at DirecTV’s terms of service. We discovered that they were completely up front about their intention to sell personal information to advertisers. Our auditors were sheepish about not reading the terms of the deal, but they also felt it was wrong that they had no option but to accept these terms if they wanted to access the service.

On the basis of this experience, we wrote a guidebook that explains how to use Son Mis Datos, and how to carry about an audit on the basis of the ‘access’ provisions in personal data laws. The guide helps users think through questions like: Is the data complete, precise, unmodified, timely, accessible, machine-readable, non-discriminatory, and free? Has this company respected your data rights? What does the company’s response to your data request suggest about its data use and data management practices?

We learned a tonne from realizing these audits! We know, for instance, that the more specific the request, the more data a company provides. If you ask a company for “all of the personal data you hold about me” you will get less data that if you ask for “all of my personal information, all of my IP data, all of my mousing behaviour data, all of my transaction data, etc.”

Our experiments with citizen data audits also allow us to make claims about how companies define the term “personal data.” Often companies define personal data very narrowly to mean registration information (name, address, phone number, identification number, etc.). This lies in extreme contrast to the academic definition of personal data, which is any information that can lead to the identification of an individual person. In the age of big data, that means pretty much any digital traces you produce while logged in. Observations like these allow us to open up larger discussions about corporate data use practices, which helps to build citizen data literacy.

However, we were disappointed to discover that our citizen data audits worked to validate a data regime that is organized around the expropriation of resources from our communities. In my first blog post I explained that the 5 criteria driving data audits are profitability, risk, consent, security and privacy.

Since our audit originated with the law, with technology, and with corporate practices, we ended up using the audit criteria established by businesses and governments to assess corporate data practices. And this meant that we were checking to see if they were using our personal and community resources according to policies and laws that drive an efficient expropriation of those very same resources!

The concept of privacy was particularly difficult to escape. The idea that personal data must be private has been ingrained into all of us, so much so that the notion of pooled data or community data falls outside the popular imagination.

As a result, we felt that our citizen data audits did other people’s data audit work for them. We became watchdogs in the service of government oversight offices. We became the backers of corporate efficiencies. I’ve got nothing personal against watchdogs — they do important work — but what if the laws and policies aren’t worth protecting?

We have struggled greatly with the question of how to generate a conversation that moves beyond established parameters, and that situates our work in the community. With this in mind, we’ve begun to explore alternative approaches to thinking about and carrying out citizen data audits. That’s the subject of the final post in this series.

 

About the author: Dr. Katherine Reilly is Associate Professor in the School of Communication at Simon Fraser University in Vancouver, Canada. She is the recipient of a SSHRC Partnership Grant and an International Development Research Centre grant to explore citizen data audit methodologies alongside Derechos Digitales in Chile, Fundacion Karisma in Colombia, Sula Batsu in Costa Rica, TEDIC in Paraguay, HiperDerecho in Peru, and ObservaTIC in Uruguray.