The last few days, we’ve all been hearing about Cambridge Analytica, the Trump Campaign, and their use of Facebook data in the 2016 campaign. Some of you have probably also heard that 1) this use of Facebook data is not new, 2) that Cambridge Analytica wasn’t alone in doing this sort of thing, and 3) that even the Obama 2012 Campaign did similar things, and the media and the public praised them instead of criticizing them as is being done to Cambridge Analytica.
I’ve been asked for comments from quite a number of people so I wanted to write this to make clear what some of the issues are around this data, what the Obama Campaign did with Facebook data — how we collected it, what analysis was done with it, what actions were taken based on it, and how it’s different than what it seems that Cambridge Analytica did.
How we collected this data?
A large number of users did authorize us to access this data — the purpose was primarily to provide them with a list of their facebook friends they could contact to help us get them registered to vote, persuade them to vote for us, and turn them out to to vote during the campaign. This is not dissimilar to us asking them offline to talk to their neighbors and friends, and to do phone banking and canvassing but done in a more data-driven way to benefit the campaign as well as make efficient use of our supporters’s time (so they’re ideally contacting friends who are not registered to vote for example).
How is it different than what Cambridge Analytica did?
I’m not an expert on what Cambridge Analytica and the Trump campaign did with Facebook data. All I know is what I’ve read from public sources and based on that information, it seems to me that their use of data that was collected using Facebook was very different. From what I’ve read from public sources, Cambridge Analytica did not collect this data themselves and/or directly. Global Science Research (GSR) created an app to collect this data for research purposes and then sold/provided it to Cambridge Analytica without any consent or knowledge of the people who gave initial permissions for the research study. That’s a problem. The users authorized an app for a specific reason and this data was supposedly used for additional purposes (from what I can tell by reading the articles).
In our case, we did not buy or access any facebook profile data that was collected for another purpose. We explicitly asked our supporters to give us permission (through the standard facebook protocols) to access this data. This data was only used to ask for their help in contacting their facebook friends (through facebook sharing and tagging) for a variety of asks (registration, turnout, etc.) during the campaign.
What we collected?
We did not scrape everything available on facebook about everyone we could. As part of the app approval process, we were asked (like all app developers are) by Facebook to justify why each piece of information was being asked for, and what additional experience it would provide to the user.
We worked very hard to figure out the minimal amount of information we needed to collect in order to provide useful recommendations to our supporters.
We kept the data secure.
We respected the permissions provided to us by our supporters (and there was no way for us to access this data without the supporter giving us explicit permission and if they denied permission, we did not have access to those profiles).
As has been reported, in 2015, Facebook took away the ability to ask for most of the information about a user’s friends, essentially making this type of data collection much more difficult. This was a good move by Facebook — my Facebook friends should not have the ability to give away my data to anyone without my permission, which is essentially what was happening earlier.
What we did with it?
We did not build any complex (certainly not the so-called psychographic) models of facebook users using their facebook data. Most of the models we built were using the publicly available “voter file” that contains information people typically provide when filling out their voter registrations forms. We did build models to understand which of a supporter’s friends we want to ask to register to vote, or to get them to vote and how likely the friend was to take action based on the ask.
We only contacted the people who had given us access and permission to get their own email address. We did not get any contact information for their friend and did not (and could not ) contact any of their friends directly. All we could do was ask our “primary” supporters to contact their friends and we would recommend who those friends were based on the data they allowed us to access.
Was it useful?
Yes it was. It allowed us to use our supporters networks to reach people that we probably would not have reached otherwise through typical channels (phone calls ,door knocks, tv, radio, print). Would we have won the elections without it? In hindsight, probably yes.
I’m proud of the work we did at OFA, for building new data-driven tools for digital organizing and for being a small part of the Obama team. We wanted to win the elections, but not at all costs. We were not only doing everything legally, but also ethically. Doing the right thing was important to all of us involved in this project. I believe that data, analytics, and technology should not win elections — policies should win elections. Data, analytics, and technology help but eventually it’s the ability to inspire, persuade, and mobilize people to vote for you based on your policies that should create presidents (and other elected officials).
For that to happen effectively, a few things need to happen:
I’ve always wanted to build a little browser plug-in that makes your browser turn red if you’re on a site that has questionable data collection, sharing, and privacy policies. If Google can make ad blocking part of standard Chrome, why not also add this extension? I’m sure it won’t be trivial to define “questionable” but most of us would agree on some starting principles and we can iterate from there. Another point: Phrases such as “exploit”, “harvest”, “siphoning”, and “build psychographic profiles” cause unnecessary fear without explaining the reason for that fear. We deserve a more nuanced narrative.
2. More oversight of new ways of doing old things: I talked to a lot of people about Facebook dark posts in the aftermath of 2016 US elections. We don’t know how much they were used, or how effective they were, but the fact that they exist is troubling. For most of facebook’s life, a post that was sponsored/promoted to advertise to facebook users had to be a real facebook post that was visible to everyone and then boosted through ads. Typically, an organization would post something on their facebook page (that anyone could see if they went there, and a small fraction of people who liked their page would see that post in their feed based on facebook’s ranking algorithm). Organizations could target ads in a lot of ways using these posts but anyone could, theoretically, see the post if they went to the page that created it. That allowed messages to be audited, allowed reporters to fact-check, among other things.
Dark posts changed that. You did not need to create a public post before using it in an ad. You could create a “draft” post, never publish it but still show it as an ad to a targeted set of users. Essentially, that post would only exist for people who were targeted, and nobody else would ever know it existed, even if they looked for it. FEC regulates political advertising on TV, radio, and print. They monitor how TV ads are bought and sold, and those ads need to be labeled and approved by the campaign. Dark posts do not fall under this umbrella and can be difficult to track, attribute or be verified to exist. We need FEC to treat digital ads the same way they treat other advertising — it makes no sense that they do not.
1. Based on publicly available information and my non-legal opinion, what Cambridge Analytica did was unethical and possibly illegal.
3. We need to improve the public’s awareness of how their data is being collected, shared, sold, and used in general. We also need to differentiate corporate use of data, purely for profit or organizational gain versus the use of data to provide improved social benefits (health, employment, social services). The public deserves to get a nuanced view of data use because it’s not simple. Government and regulatory agencies need to improve how they help the public achieve that.