In today's world, we are often overwhelmed by the quantity of information we encounter each day. The Internet and other computing technologies have made it increasingly simple for anyone anywhere to create content and share it with others. This has resulted in a proliferation of information, both digital and non-digital. I see this trend has having both positive and negative consequences; on the one hand, new technologies have democratized the production of content and made it easier for less powerful voices to be heard. On the other, however, I believe it has become increasingly difficult for people to organize and interpret the information that they are presented with, simply because there is so much of it and it often arrives in an unstructured, undesigned form.
This project explores the various ways in which designers can filter information to highlight what is meaningful and obscure what is less meaningful. I have used the blogging platform Twitter as my data source, and have filtered the public timeline of "tweets" to those that contain exactly three words (hence the project's title, "three-ting"). I made this choice because I personally believe that three words is the minimum length for an English sentence to be able to express something meaningful.
I've also selected seven words to serve as an additional filter. Six of these words are pairs of opposites: love/hate, good/bad, and happy/sad. The seventh word, feel, is an umbrella term that encompasses the others. I am interested in the idea of raw human emotion as raw data, and I have attempted to structure and design that emotion in a way that might reveal something about people and the way they interact with each other and their technology.