I started this project hoping to understand how social media data is harvested, processed, analyzed, and used for marketing and political communications. While compiling this bibliography I read a lot more research than I could include, and almost none of it reflected any consideration of how it might affect human beings, communities, politics, or the natural world. It should be expected that other people will insert their own values into applications of this technology, for good or ill. And that's exactly what's happening.
We've reached the final annotation in our series on "Social Media Data Collection, Processing, and Use in Research, Marketing, and Political Communication." Toward the end of the project my research drifted from traditional academic sources to investigative journalism. We now veer further off-track into blog posts and GitHub repos. Some videos and a course syllabus on Data Science for Social Systems. Tools, documentation, and related sources that don't fit neatly into any particular box. This isn't so much an annotation as a grab bag of annotated links. I apologize in advance.
In the third and final part of their undercover investigation, Channel 4 News captures chief executives from Cambridge Analytica explaining how the firm used social media analytics to win the 2016 U.S. presidential election for Donald Trump. After this report was aired in March, Cambridge Analytica executives denied using social media analytics to win the election for Donald Trump. In earlier parts of this report, they claim to always tell the truth, while adding that actually people may not know or care what's true and what isn't. Anyway if people were misled it's not their fault. Also, these are not the 'driods you're looking for.
The Cambridge Analytica story is what inspired me to pursue research on the details and methods of data processing that form the technical basis of using social media metadata for psychographic purposes, and the role of programming in accessing, collecting, processing, and using social media data, and the specific tools and workflow that enable this work. But I believe we can't fully understand the technical story without the political and social context. Technology isn't neutral, and our values are embedded in every tool we build. London's Channel 4 News discovered the values held by senior executives of Cambridge Analytica, as they detail in part two of their investigative report.
So far in this project I've been annotating traditional academic sources. These sources explore methods of machine learning, Natural Language Processing, sentiment analysis, and the tools used to mine social media for research purposes. But the literature hasn't kept pace with the news, and social media data is being used for things other than academic research. Like maybe stealing elections. Here begins a series of three annotations of investigative reports by London's Channel 4 News. These are video stories about Cambridge Analytica and its methods and role in political campaigns in the U.S., Africa, Europe and beyond. These are of course non-traditional annotations. But I consider the source credible, and given the subject important to include.
If you ran digital strategy for a presidential campaign, and Facebook came knocking on your door and said "We want to help you win this election," would you turn them down? There's nothing like a little help from the mothership.
Finally, a break from annotating technical stuff. Don't get me wrong I like it but...here's where it hits the road: Changes in voting behavior. Here we have a study published in 2012 in Nature on a randomized controlled study of changes in users voting behavior after seeing different versions of messages on Facebook. You want to read this one.
Today's annotation summarizes an article published in late 2017 reporting on a systematic literature review of existing research on social media analytics. The authors seek to identify challenges that have not yet been solved by the models or the tools. I'll give you a hint at what they find: We are very good at looking for specific needles in the social media haystack, but not so good at finding the needles we're not looking for.
We've arrived at the inevitable point of imperfection. I started out looking for authoritative resources on how social media data is harvested, processed, and used in commercial and political communication campaigns, and I sure did find them. The problem is this realm is changing so fast, many of these sources are out of date. Regardless, this research project must come to an end on May 11th when I turn in my IS 452 final project. My proposed annotated bibliography has become a series of marginal blog posts. But the fight continues.
So far I've been looking at how researchers analyze social media networks, and perform tasks like opinion or sentiment analysis to understand how people feel and think about various subjects and entities. With this annotation we're looking at a thing called content marketing, where influential users of a social network are first identified, then used to spread messages to their network of influence. Even in a huge network, a little bit of leverage in the right places can move products, and perhaps elections.