First Look at the Data

Our project is finally beginning to take shape: We have DATA! I have focused my data collection on the month of January. Below are graphs representing the trends I have seen throughout this month. Much of this level of analysis aligns with my expectation. However, there are a few surprises! Let’s check it out:

Graph 1:


By and large, during the month of January it seems like posters to this FB page are sharing information. From news about insurance companies, FEMA to fundraising and boardwalk events to openings of restaurants and bars, many users are sharing information for fellow Long Beachers. But who in fact is sharing this information?

Graph 2-3:


The first chart illustrates a bit of information that came as a surprise to me. I expected the percentage of male to female posters to be close to equal. However, female posters overwhelmingly posted: 72%. This calculation doesn’t account for the administrator posts as the gender of the administrator is not always known. As far as administrator posts, nearly 50% of this FB page activity is conducted by the administrator. It’s clear the team running this page have invested significant effort into continuing to support and assist the residents of Long Beach and foster the sense of community post-Hurricane Sandy. With the posts comes additional FB user response, in the forms of comments, shares, and likes.

Graph 4


The results of this graph are precisely what I expected to see. Contemporary Documentation postings, pictures from the Boardwalk farewell event, pictures of the snow, pictures of the boardwalk demolition, etc, receive the most support. I imagine the pattern of liking pictures is not particular to this FB page. Additionally, the posts with a solidarity or memory focus receive significant addition. These posts also seem to present more visual images than the other posts, a potential reason for their high popularity.

Altogether, I am thrilled with the progress the team is making. At this stage the small trends we are finding in the data are exciting. The next step is to compare these trends across the four months and see if we notice fluctuations among the variables. Later we will extract patterns in the coding process which will provide a more detailed picture of what is discussed on this FB page.


One comment

  1. So we’re seeing a lot of similarities between these months. Women out-numbered men in Oct/Nov too. Are you seeing different subjects being discussed or shared because the month you’re investigating solidly fits within the recovery period?

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monica byrne

novelist . playwright . traveler . futurist . feminist


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