Project Overview
Transferring massive amount of data into information that can be communicated with others is an important but yet critical task for a designer. In this project, I tracked all the information I receive from my Facebook feed in seven days, transcribe the data points into my own language, and finally transfer them into a visualization that can communicate the information I got.
Data collection
Within a week, every time I open up my Facebook, I screenshot all the feeds I went through. In the end of everyday, I went through the screenshots and transcribe the data points that appears in each feed. The data points include the person that posted the feed, the relationship between me and that person, the time and content that was posted, as well as the forms of the posts. Over 300 data points were collected and transcribed.
visual details
CATEGORIES
With over 300 posts, I broke the data down into 3 key components. From the inner circle, 16 broad topics of posts were presented. The second layer of circle represents the person that have posted during the week, and were categorized into 4 different; close friends, friends, fanpages and advertisements. Finally the most outer circle presented the forms of the posts, including text based posts, pictures, videos, and posts with outer links.
I decided to build up the connections between each information using thin line, to allow the audiences to see the amount of information that I was getting from Facebook in a week, and how the feeds are tend to lead into certain directions.
TIMELINE V.S. THE POSTS THAT SHOWS UP
On the left of the poster shows the relationship between the time the feeds were posted and the actual time that it can be seen. As shown in the diagram, feeds that were posts 2 hours before I opened up facebook are most likely to be on the top 5 of the feeds. And 8 hours is the timeframe that the feed is most unlikely to show up.