We Feel Fine is another masterpiece developed from Jonathan Harris. Jonathan is the developer of 10×10. We Feel Fine is an interactive global exploration of human emotion. Every few minutes, the system searches out the world’s blogs for specific entries for occurrences of the phrases “I feel” and “I am feeling” expressed in a sentence. The age, gender, and geographical location of the author is often extracted and saved along with the sentence. All of this information is saved.
The result is a database of several million human feelings that increase by 15,000 to 20,000 new feelings per day. The feelings can be searched and sorted acrtoss a number of different demographic slices. Do Europeans feel sad more often than Americans? Do woman feel fat more often than men? Which are the happiest cities in the world? What are the most representative feelings of female New Yorkers in their 20s? Those are some of the responses one can achieve through this system.
Now blogging has become more of the venue of choice for people to communicate their career aspirations, skill sets and resumes. Imagine the possibilities of a system that searches entries for the occurrences of the phrases “I work” or “I want to work” or “My skills” or “I have skills in”. The system could display to recruiters these responses: What do male engineers in Silicon Valley still want to work on? What type of skill sets are in New York that is looking for the type of job we are offering? Show me the people that have the skill set knowledge of Ajax who is in the San Francisco Bay Area.
As the system populates, the recruiters can review the different clusters based upon their own criteria, link into the blogs and even contribute and make contact as well as refer it over to another recruiter.
Now imagine candidates engaging into a system that allowed for them to reveal inside the employer brand by viewing employee biographies and blogs this way. Check out the galleries of images and statements that were made from this system. The images are even ranked by popularity of how many people have saved and sent them.