Every few minutes, We Feel Fine's system searches the world's newly posted blog entries for occurrences of the phrases "I feel" and "I am feeling." When it finds such a phrase, it records the full sentence, up to the period, and identifies the "feeling" expressed in that sentence (e.g. sad, happy, depressed, etc.). The result is a collection of raw human emotion from across the blogosphere archived on a perfectly interfaced site.
Because blogs are structured in largely standard ways, the age, gender, and geographical location of the author can often be extracted and saved along with the sentence, as can the local weather conditions at the time the sentence was written.
All of this information is saved and We Feel Fine's stats increase by 15,000 - 20,000 new feelings per day. Using a series of playful interfaces, the feelings can be searched and sorted across a number of demographic slices, offering responses to specific questions like: do Europeans feel sad more often than Americans? Do women feel fat more often than men? Does rainy weather affect how we feel? What are the most representative feelings of female New Yorkers in their 20s?
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The interface to this data is a self-organizing particle system, where each particle represents a single feeling posted by a single individual. The particles' properties – color, size, shape, opacity – indicate the nature of the feeling inside, and any particle can be clicked to reveal the full sentence or photograph it contains.