Combining elements of computer science, anthropology, visual art and storytelling, Jonathan Harris designs systems to explore and explain the human world.

At the core of We Feel Fine is a data collection engine that automatically scours the Internet every ten minutes, harvesting human feelings from a large number of blogs. Blog data comes from a variety of online sources, including LiveJournal, MSN Spaces, MySpace, Blogger, Flickr, Technorati, Feedster, Ice Rocket, and Google.

We Feel Fine scans blog posts for occurrences of the phrases "I feel" and "I am feeling". This is an approach that was inspired by techniques used in Listening Post, a wonderful project by Ben Rubin and Mark Hansen.

Once a sentence containing "I feel" or "I am feeling" is found, the system looks backward to the beginning of the sentence, and forward to the end of the sentence, and then saves the full sentence in a database.

Once saved, the sentence is scanned to see if it includes one of about 5,000 pre-identified "feelings". This list of valid feelings was constructed by hand, but basically consists of adjectives and some adverbs. The full list of valid feelings, along with the total count of each feeling, and the color assigned to each feeling, is here.

More and more information is being visualised. Diagrams, data and information graphics are utilised wherever increasingly complex elements are present, whether it is in magazines, non-fiction books or business reports, packages or exhibition designs.

Data Flow presents an abundant range of possibilities in visualising data and information. Today, diagrams are being applied beyond their classical fields of use. In addition to archetypical diagrams such as pie charts and histograms, there are manifold types of diagrams developed for use in distinct cases and categories. These range from chart-like diagrams such as bar, plot, line diagrams and spider charts, graph-based diagrams including line, matrix, process flow, and molecular diagrams to extremely complex three-dimensional diagrams.

The more concrete the variables, the more aesthetically elaborate the graphics – sometimes reaching the point of art – the more abstract, the simpler the readability. The abundant examples in Data Flow showcase the various methodologies behind information design with solutions concerning complexity, simplification, readability and the (over)production of information. In addition to the examples shown, the book features explanatory text.