Associative Trails Around DigCiz, Fake News, and Microtargeting

Microtargeting: A Digital Citizen’s Perspective

I started writing this post about fake news and microtargeting a few days ago and then I was reminded that #OpenLearning17 was talking about Vannevar Bush’s As We May Think this week. I began to see connections between how they might relate. It made this post even longer but I think it was worth it.

Some background if you don’t know: Bush’s article was written in 1945 as the war was ending. He was the Director of Scientific Research and Development during this time so he was all about applying science in warfare. In the article he is envisioning where scientists will put their energies as the war is ending.

Now, as peace approaches, one asks where they [scientists] will find objectives worthy of their best.

The article focuses on the connections we make when we build knowledge. How we associate past discoveries with current ones and tie things together. Bush advocates using technology to track the connections that we make in this process to extend memory for better reflection on those connections. Many credit this article with predicting the Internet.

He uses this term “associative trails” to describe indexing knowledge based on connections that we define. He thinks this is more powerful than typical kinds of indexing like sorting by number or alphabetizing. But I note that this is a much more personalized kind of indexing.

He is advocating for metacognition, that is, realizing what you are thinking and where your trails lie so you can better understand what you are researching, yes, but more importantly your own thought processes. What I am wondering about is what happens when you get the technology part but you leave out the metacognitive part? Bush does not seem to consider this option but I think this is often the world that we live in today.

When I start thinking about fake news and microtargeting I have to ask what if a person does not have access to their associative trails? What if they don’t even realize they are leaving a trail? What if they think that their trail is not so important? What if someone’s trail could be bought and sold? What does the record of all our connections say about us and can it be used in ways that might be exploitive?

I’m not a data scientist. I’m not a journalist. I’m not a librarian.

I am a technologist. I am an educator. I am a person. A person who lives some of her life on the web. I want to say a lot of her life on the web…. But “a lot” is a relative term.

Often it is journalists and librarians that tackle the fake news topic. I think that both of these groups add an important perspective to the conversation but I also think that there is the perspective of a digital citizen and those that advocate for such concepts; the perspective of someone using the web as a place of expression, a place to learn, and to be heard and to listen to others.

What is microtargeting?

When I bring the idea of microtargeting up I’ll start with something like “well you know they track a lot of your data from the internet to try to influence you” and most often, before I can continue, I hear “oh yes of course I know that”. Then there is the inevitable story of shopping for an item on one site and then continuing to see ads for it on other sites. But that is rather mild and not really what concerns me.

I’m not just talking about the machine realizing that you were looking at a product on another site or that you clicked on something from your email, that is cookies and web beacons, that is rudimentary stuff.

I’m talking about gathering thousands of data points, combining them, and analyzing them. Everything from shopping history to facebook likes and what church you attend can be gathered and combined with traditional demographics to create a “personalized experience” meant to influence you with emotional and psychological messaging.

The big story around microtargeting right now has to do with a little company called Cambridge Analytica (CA) in London. They are the big story because they’ve had well known wins with customers like the Brexit Leave and Donald Trump campaigns.  

In this eleven minute video during the Concordia Summit their CEO Alexander Nix explains how they work. In the video Nix explains that demographic and geographic information is child’s play. That the idea of all people from one demographic getting the same message: “all women because of their gender, all African Americans because of their race, all old people because of their age” is ridiculous. That those things are of course important but they are only part of the picture; that psychographics are a much more complete picture because then you are targeting for personality.

The big shocker where people feel a little creeped out is when they learn that CA uses those silly little facebook quizzes (you know the ones that you click the “connect to facebook” button on before you are allowed to take them) to profile your personality. What! Those quizzes are not just there for free for you to have fun with… as they say: if the service is free consider that you might be the product.

As we may forget

CA is not the only one doing this; they are just the popular story right now and the quizzing is only part of things. For me the big part is that connection to facebook which can give the owner of the quiz (be it CA or some other company) access to all of your account information, your likes, your posts, and often much of your friend’s information. Of course, much of your personal and consumer data can be purchased so throw that into the mix. Imagine aligning all of this data for a person. It is a lot. Often people don’t even realize what they are giving away.

You authorize the connection so that you can take the quiz or play the game or whatever and then it is over for you – you have had your fun and you move on. But the app still has that connection to your account and will continue to unless you go in and specifically delete it. This means that it can continue to gather data. Apps will vary of course and I can’t speak for any specific one but I know that all of you are reading the terms of service of each app before you connect it – right?

In this case the user is continuing to make associative trails on facebook through friending and liking. However, they are not using those trails for metacognition. They are not using technology to extend their memory so that they may better reflect on the connections that they are making. Instead they plow forward forgetting many of the connections and the fact that they have authorized someone/thing else access and track their connection trails. The trails are being harvested by an outside entity and the user, more than likely, has no idea who that entity is – did I mention that they could change the terms of service, the name of, or the nature of the app at any moment?

But how much can someone really do with all that data?

I have seen the data scientist folks that I follow sort of look at the CA story a little sideways and it seems every day there is a new article downplaying the impact CA had on the Trump and Brexit campaigns. Interestingly though not too many saying that the idea behind this, using big data and psychographics to personalize experiences, is invalid. Just that CA might be more hype than pay off.

This much more comprehensive story about the origins of CA in Motherboard states that Cambridge is not releasing any empirical evidence on how much or how little they are affecting the outcomes of campaigns. And though CA is more than happy to tout their wins as proof of their effectiveness I’ve yet to see anything about their losses which is a classic vendor ploy.

In this recent Bloomberg article, The Math Babe, Cathy O’Neil points out that what Trump was doing during the campaign is not uncommon and that the Hillary campaign was also doing it. Also, that U.S. companies have for decades been tracking personality. O’Neil points out that “To be sure, there’s plenty to be appalled at in this story…. It is just not specific to Trump”.  She states that Hillary had access to more data than Trump because she had access to Obama’s archive of data from the previous elections. 

But then I think about Bush. As We May Think considers information storage and to be sure the amount of data is important. However, I think the real meat is in the connections. It is here that I have a hunch that having the right context or being able to see the right connections could be more powerful than having more data – well at least if we are talking about the difference between a lot of data and a whole heck of a lot data. Did I mention that I am not a data scientist?

Paul Olivier Dehaye has written about how CA was targeting “low information voters” for the Trump campaign. This article hypothesizes that CA used data (citing CA’s claim to have 5000 data points for every adult American) to specifically look for voters who had a low “need for cognition” for microtarged political advertising. These are the type of folks who would be more likely to not dig too deep or question stories that were presented to them. These folks are not doing a lot of metacognition. I don’t blame them for this, but I’ll get to that in a bit.

What is real and how can we tell?

As I remember it, when the term fake news first started being thrown around during the campaign it was largely being used to define sites that were not run by major news organizations or even particular journalists but rather individuals who knew how to buy a domain name, hosting, and throw up a WordPress site but who were only interested in click revenu. They would come up with crazy stories and even crazier headlines just to get people to click. As these started to be called out as “fake news” some began to create lists of these sites and place parody and satire sites alongside of them.

But then it got more challenging with accusations that major news sources were in fact fake news and that we could tap into “alternative facts” to get to the truth.

Journalists receive training to be sensitive to bias and context and to not let it interfere with their reporting, so they should be more prepared to consider context and fight against bias, especially their own. However, you will never be able to completely remove bias and context; much of it can be hidden and not realized till later. It is here that education is asked to step in and create critical citizens who will hold journalists responsible for what they report and it is here that we see the calls for greater digital and information literacy in regards to fake news.

Fake news, microtargeting, and digital citizenship

Bush envisioned people using technology to extend their memory to be more metacognitive about the connections they were making while they were building knowledge. These seem like rather “high cognition” kind of folks to me but what about those “low cognition” kind of people that Dehaye thinks CA could be after? Who are they?

I mean I’ll admit that I’m guilty myself. I don’t read every terms of service for every new app I download. I have forgotten that I’d given access to some app only later to find it hanging out in my facebook or accessing the geolocation of my phone. But I think that it is really some of the most vulnerable among us that are at risk here.  

What if you work 40/50 hours a week and care for children, parents, or grandparents? What if you have a disability or illness to manage? What if you grew up surrounded by technology and this kind of technology usage is your normal? Do you have time to build all of those literacies? 

Building critical literacies around information and digital technologies takes time. It requires more than just a list of which websites are fake, which are satire, and which are backed by trained journalists. It requires more than a diagram of which news sources lean in which direction politically.

You need the ability to critically look for the nuance of things that could be off. For instance a .com.co is different than a .com. Kin Lane talks about “domain literacy” and goes much deeper than this basic understanding of domains but I hope you see what I mean. We need to read the article and then ask is it really reporting first hand or are they reporting on reporting as Mike Caulfield points out when he calls for the first step in fact checking to not be evaluating the source but rather determining who the source is!

Once you determine the true source you need to evaluate it – who wrote this, what are their political leanings, are they being backed by other influences (like money) somewhere? You should click on the article’s links and/or look at its sources and read those articles to get context before you make a definitive decision about it’s worth. All of this takes access, and knowledge, and constant practice.

Maha Bali writes about how fake news is not our real problem. She points out how fake news is good for critical thinking and states that we need more than just a cognitive approach; what we really need is cross-cultural dialog, learning, and skills. This is where education and community need to step up to the plate.

It seems like a lot and for me it is a call for better general and liberal education. I think the first step may just be in realizing (and getting students to realize) that my internet is different from your internet. Where possible, taking ownership for our own “associative trails” and demanding that ownership when it is kept from us. Finally, simply realizing that there are political forces and companies with lots of your data… which has always been the case but maybe realizing that they are trying to influence you in increasingly intimate ways.

This article (images and words) are CC-BY Autumm Caines