I would like to use advanced machine learning tools (recurrent neural networks and deep learning) for analyzing Facebook corporate strategy after Cambridge Analytics crash. Please see below methods I used earlier. I am sure that it provides more general model of activity of corporate world. Paradoxically, you can use tools used by corporations to track them, understand and act ‘against’ them.
FuckinGooglExperiment
FuckinGGoogleExperiment uses data from stock market and investigates the relationship between corporations such as Google and the art world.
COMPARE THE CHANGE IN GOOG STOCK PRICE WITH CHANGE OF GOOGLE’S PR STRATEGY.
FGE shows that digital culture can be perceived as a kind of symbolic superstructure which expresses social order and functions as a foundation of economic reality based on domination and colonization. In this context, the project considers attitudes towards corporate PR strategies and the use of mass media.
http://fundamental.art.pl/FUCKINGOOGLE.html
You can also check out my project NEST.
NEST is a toolkit to explore data, track events, find patterns, and build risk profiles, all in an effort to encourage and motivate action. We like to think of it as a Citizen’s Intelligence Agency, giving people similar tools and technologies to those held by their government.
http://fundamental.art.pl/NESTofficial.html
and GGRU
http://fundamental.art.pl/GGGRU.html
Bio: Robert B. Lisek is an artist, mathematician and composer who focuses on systems and processes (computational, biological, social). He is involved in the number of projects focused on radical art strategies, hacktivism and tactical media. Drawing upon conceptual art, software art and meta-media, his work intentionally defies categorization. Lisek is a pioneer of art based on Artificial Intelligence and Machine Learning. Lisek is also a composer of contemporary music, author of many projects and scores on the intersection of spectral, stochastic, concret music, musica futurista and noise. More:
http://fundamental.art.pl
