I had 20 different languages when looking at my tweets. This included ar, da, de, en, en-gb, les, fa, fi, fr, hi, id, it, ja, ko, nl, pt, pl, ru, sr, tr.
Out of these languages 3,089 tweets were in English. This means that 89% of my tweets were tweeted in English.
I think that so many tweets were written in english because this issue is happening on US soil, and even though this issue does involve people from the middle east I think that Americans have a lot to say about it. I also think that the Middle East and United States use Twitter in a different ways. Twitter for Americans is a news forum. One thing I found interesting is that French was the second most use language. After thinking about it for a while I think these people are tweeting from Canada.
#muslimban has been and still is a main topic in the news today. This makes sense as I collected the most tweets out of my class do the uproar it has caused throughout society. However I wanted to know if something specific happened on each of these days so I looked up the news on Google.
February 24th: Several news sources write about Muhammad Ali Jr. being detained because of the Muslim Ban/ The Washington Post reports that “DHS report casts doubt on need for Trump travel ban”
February 25th: Several articles following up on Muhammad Ali Jr.
February 26th: Again articles following Muhammad Ali Jr. in relation to the Muslim Ban/ New story on Muslim staffer quitting her job at the white house
February 27th: Article from The Globe and Mail reporting that “Appeals court will not put Trump immigration ban case on hold”
February 28th: Articles claiming that Trump is going to enforce and new travel ban
March 1st: Trump addressed Congress and new travel ban will exclude Iraq
After looking through the news I was able to make some inferences on why people tweeted more on certain days. For example Feburary 24th had the least amount of people tweeting about the ban. This makes sense as there weren’t any significant events happening on this day regarding the muslim ban. The first articles that came up talked about Muhammad Ali Jr. and were from sources like TMZ. The second most tweets came from February 26th. This makes sense as a muslim staffer quit the White House as a result of the Muslim Ban. I think that many people responded to this as she was standing up for what she believed in and reinforced the idea that people should have a voice. The date I was most curious about was March 1st as the most tweets were tweeted from this day. I found this significant as there was a major spike from about 400 tweets to 1300 tweets. After looking at the news this spike makes sense as Donald Trump addressed the congress this day. He also devised a new travel ban that would exclude Iraq. These events definitely got a response on Twitter as people wanted to express their updated opinions of President Trump.
My mean was 580.3, my median was 461.5 and I did not have a mode. In comparison to my peers I was surprised to see that many people had such a higher mean than I did. This goes for my median too. I am somewhat surprised that I don’t stand out more because of how much data I was able to collect. However this also makes sense as people looked at a different amount of days and hours than I did. For the most part after looking at my statistics I discovered that the number of tweets were fairly consistent from day to day besides March 1st. In comparison to how the percentage of tweets tweeted in english I was close to many of my peers with a percentage of 89. This makes sense as a lot of our topics are prevalent to what is going on in the United States today.
I used 3,480 tweets in analyzing my data this time. This was around the same amount of tweets my peers used, which makes sense as using too much data could become confusing. I had a decent sized range of 1082 in comparison to my classmates as some had ranges in the 300s. When looking at max and min I was surprised that I had a lower max than a lot of my peers as I have had this mentality that my data is so large.
In conclusion I was somewhat surprised my results as I expected to have more tweets tweeted each day. I realized that the reason for this outcome could have just been a result of the days I chose. I am curious to know that if I picked the days after the ban was first issued what my results would have looked like. My hypothesis is that there would have been thousands of tweets each day by mostly Americans.
Nell,
I found it very interesting that your tweets did not stand out as compared to the rest of the class, given the volume of tweets that you recorded. The topic of #muslimban is certainly one that has had a significant amount of attention in the past few months. I found it surprising that I had so many more different languages than you, however this makes sense given the fact that the muslim ban is inherently an American subject, as the ban applies to entering the United States. Your point regarding the French tweets likely being from Canada was a smart point that I agree with, and I don’t think I would have considered it. It was really cool to see how much your tweets spiked after President Trump’s address to congress on March 1st. It looked like your tweets more than doubled on that day, which is a huge increase. You did a great job representing your data through the labs, and this post was an interesting read.