Given my maps, research, and brief skimming of tweets, I hope to see a link between the use of #ThisIsNotNormal and the Muslim Ban, since that is how I discovered the hashtag. I am also interested to see what the most related terms will be, since the hashtag has been used in relation to so many events.
After making my word cloud, I have noticed a few things. The following terms stand out to me most often over all 7 days: Trump, Bannon, business, sanctions, Eric Wolfson, Russia, appoint, and resistance. These seem to be the topics most connected to #thisisnotnormal. I expected terms relating to the Muslim Ban to be some of the most prominent, but this does not seem to explicitly be the case or manifest the way I expected. I don’t believe there are any terms obscuring my data too heavily- it seems that most of the larger terms are very connected to the state of the new administration just as I expected. Tweeters @thewomenswatch and @therealdonaldtrump were tweeting quite often using my hashtag, and I left those terms in. The larger terms indicate larger trends in attention.
The terms I chose to exclude in addition to the given list are as follows:
- make
- seat
- jicm05bkgd
- bobesca_go
- he’s
- good
- like
I moved the “terms” slider to the smallest number (25) in order to focus on the most important terms related to my hashtag. Looking at the smallest terms among a number any higher than 25 did not seem to provide much insight on my data, so I chose to simplify the images. I truly expected to see terms like “Muslim Ban” or terms related to that topic. “Bannon” and less obvious terms which related did appear quite often. Below is my new word cloud after limiting it to 25 words.
Although the term “trump” came up most often, three terms that stuck out to me as points for analysis were Bannon, the resistance and “stoppreside.” The use of the terms Bannon and “stoppreside” (cut off of #StopPresidentBannon) both relate to the surfacing of information that Bannon was behind the initiation of the Muslim Ban. Use of these two terms first emerged and then rose dramatically around February 4th through February 6th. “The resistance” is another more vague term we can look at that might actually be able to provide a lot of information on the data through closer examination. This was a phrase that was picked up as a way to oppose the administration, alongside the use of the phrase “this is not normal” which I chose to focus on. Following “the resistance” could provde insight on what people react most strongly to. The use of #theresistance was coming down from a high on January 31st, the first day I began collecting data, suggesting that it had been at a high possibly due to the enactment of the Muslim Ban a few days prior. Its use declined for a few days, but it surged on February 4th alongside the surge of “Bannon” and #stoppresidentBannon amidst information linking Bannon to the decision.
The resistance:
Bannon:
#StopPresidentBannon:
This is an efficiently written post simply because this hashtag word cloud resulted in everything one would expect. The tag arose, as I mentioned in my post actually, from the abnormal leadership methodology from our very own Mr. President. The most abnormal order since his inauguration was the Muslim Ban considering it is driven by irrational fear and illogical thought. I was in the Microsoft store the other day and the employee servicing my transaction was upset that his grandfather could no longer visit the country for a family gathering they had scheduled. I understand that Trump’s efforts are directed towards good intention, yet the strategy is exactly what the hashtag proclaims: not normal.
I appreciate that your data shows its readers a little bit more information on the Muslim Ban, being that it was not only President Trump leading the efforts but also Bannon how was behind the initiation of this order as well. What I find the most interesting is the ebb and flow of #resistance which should be more powerful and more continuous to incite any emotional response from leadership entities in my opinion. This data I believe says a lot about who is fighting and why they are fighting which I think would be great to verify and look into.
Now Trump is amending the Ban and making it so that there is limited access from six majority Muslim countries. I would like to see how this data changes based off on these most recent events. In any event, another great post to clearly identify a positive movement. Enjoy Spring Break and let’s get back to it upon our return!
I would have guessed to have seen more tweets regarding women. As Wednesday, March 8 was International Women’s Day, I wonder how your data would have changed. There were many marches and movements of women striking today and showing what a world without them would be like. It would have been interesting to see how your data changed after all of the movements and social media outcries of today.