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#NoBanNoWall Final Analysis
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Author: Jennifer K. Tran
The #NoBanNoWall Presentation
While analyzing the graphs, we found that our data as a group had strong similarities in some graphs, but had significant differences in other graphs.
The Breakdown of the Tweets
Users wrote tweets in a total of twelve languages: ar (Arabic), ca (Canadian French), de (German), en (English), en-gb (British English), es (Spanish)
Building the Connections of the Wall
I selected 3,000 tweets from only the dates February 1st to 2nd, the days closest to when the travel ban on seven dominantly Muslim countries took eff
What do they say? The War on Words at the Border
I predict that the the words Muslim, Syria, refugees and terrorists, as opposed to the words Mexico and illegal, will dominate the text analysis. More
Space and Time of #nobannowall
Since most of the tweets from last lab criticized Trump's travel ban policy, I expect that most tweets will be from the U.S., in the most diverse area
Collecting #nobannowall
I am collecting data on #nobannowall to observe the reactions of @POTUS policies and executive orders on immigrants and refugees. Growing up in th