{"id":3332,"date":"2017-04-14T15:24:42","date_gmt":"2017-04-14T20:24:42","guid":{"rendered":"http:\/\/commons.trincoll.edu\/amst-data-driven\/?p=3332"},"modified":"2017-04-14T15:24:42","modified_gmt":"2017-04-14T20:24:42","slug":"breaking-down-islamophobia","status":"publish","type":"post","link":"http:\/\/commons.trincoll.edu\/amst-data-driven\/2017\/04\/14\/breaking-down-islamophobia\/","title":{"rendered":"Breaking Down #Islamophobia"},"content":{"rendered":"<p>After sorting my tweets into languages in alphabetical order, I found that I had 21 different languages in my tweets between March 16th- 21st. The languages I had are ar, ca, cs, de, el, en es, fa, fi, fr, hr, id, it, ja, nl, pl, ru, sr, sv, tr, zh-CN. After using the Countif equation, I found that 2643 of my 2998 tweets were in English which is 88% of my data. <img loading=\"lazy\" class=\"alignnone wp-image-3338\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.45.16-AM-300x141.png\" alt=\"Screen Shot 2017-04-14 at 10.45.16 AM\" width=\"362\" height=\"170\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.45.16-AM-300x141.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.45.16-AM-768x361.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.45.16-AM-1024x481.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.45.16-AM.png 1536w\" sizes=\"(max-width: 362px) 100vw, 362px\" \/><\/p>\n<p>I think that the majority of my tweets are in English because Islamophobia is a big issue within America and English is our dominant language. Islamophobia has been in the news since Trump&#8217;s Muslim Ban which also explain why English was the top language. I was shocked that Dutch was the second top language and wonder why. I would have thought that Arabic would have had more tweets because that is the predominant language of Muslims.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-medium wp-image-3342\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.59.39-AM-300x203.png\" alt=\"Screen Shot 2017-04-14 at 10.59.39 AM\" width=\"300\" height=\"203\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.59.39-AM-300x203.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.59.39-AM-768x518.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.59.39-AM-1024x691.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Screen-Shot-2017-04-14-at-10.59.39-AM.png 1114w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>I chose to stop running my data in the morning on March 21st which is why I think the tweets that day are so low. As for March 16th, I used my data from Lab 4 and stopped when I got to around 3,000 tweets which was in the evening on March 16th so I am missing some data from that day. Looking at the bar chart all days have around the same number of tweets but March 20th has a slight peak which makes me think something happened on that day.<\/p>\n<p>When looking into the news from these days this is what I found:<\/p>\n<p>March 16th: A US federal judge blocked Trump&#8217;s revised travel ban. Although this man is not the first judge to oppose Trump&#8217;s revised travel ban, no big new outlets reported on this. The Reports came from the Muslim News and StepFeed. Other than these articles, Islamophobia was not talked about in the news on the 16th.<\/p>\n<blockquote data-secret=\"a7R4wlXso8\" class=\"wp-embedded-content\"><p><a href=\"http:\/\/muslimnews.co.uk\/news\/islamophobia\/us-federal-judge-blocks-trumps-revised-travel-ban\/\">US federal judge blocks Trump&#8217;s revised travel ban<\/a><\/p><\/blockquote>\n<p><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" src=\"http:\/\/muslimnews.co.uk\/news\/islamophobia\/us-federal-judge-blocks-trumps-revised-travel-ban\/embed\/#?secret=a7R4wlXso8\" data-secret=\"a7R4wlXso8\" width=\"600\" height=\"338\" title=\"Embedded WordPress Post\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p>http:\/\/stepfeed.com\/trump-s-muslim-ban-has-been-blocked-again-6342<\/p>\n<p>March 17th: Like the 16th, nothing significant happened on this day with Islamophobia but The Guardian did post an article about What the American court system has been Islamophobia.<\/p>\n<p>https:\/\/www.theguardian.com\/commentisfree\/2017\/mar\/17\/islamophobia-most-worrying-europe-not-trumps-america<\/p>\n<p>The rest of the days continued in this same matter. I believe that the majority of my tweets were just tweets discussing Islamophobia rather than an event that happened. I feel like people on Twitter engage in ongoing conversations about Islamophobia with or without an event. This is also why I believe the number of tweets per day are relatively the same. I do wonder what my data would look like as a whole or when an event had occurred. I wish I had looked at a larger section of my data so I could have seen the how many tweets per day there were on the days when Islamophobia was in the news.<\/p>\n<table style=\"height: 270px\" width=\"739\">\n<tbody>\n<tr>\n<td width=\"87\">average<\/td>\n<td width=\"87\">499.6666667<\/td>\n<\/tr>\n<tr>\n<td>median<\/td>\n<td>656<\/td>\n<\/tr>\n<tr>\n<td>mode<\/td>\n<td>#N\/A<\/td>\n<\/tr>\n<tr>\n<td>sum<\/td>\n<td>2998<\/td>\n<\/tr>\n<tr>\n<td>max<\/td>\n<td>846<\/td>\n<\/tr>\n<tr>\n<td>min<\/td>\n<td>37<\/td>\n<\/tr>\n<tr>\n<td>max-min<\/td>\n<td>809<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>First, my mean, median and range are far smaller than most of the class because I used a smaller set of my data. I do think that I am a standout because I did not use the entire semester of data. Looking at my Twitter data, the average tweets per day was relatively the same. When looking at the percent of tweets in english, my data was pretty equal to the rest of the class. I would be shocked if our class data had been different because we are all looking at issues that a prevalent in the US.<\/p>\n<p>The first thing I noticed is that our class looked at many different sizes of data. A lot of people used their whole data sets while others used a condensed set. My max and min were similar to some of the other people in our class. I feel like I am not a stand out in this way. My range is also pretty average in comparison to the rest of my class. I feel like overall my data was average in comparison to my classmates so the results of my data did not shock me.<\/p>\n<p>In conclusion, I am not shocked about the results from my data. I chose a smaller data set which resulted in smaller numbers than some other people in our class. I think that if I had looked a my whole data set I would have seen days where the number of tweets were about the same mixed with some peaks when the news spiked.<\/p>\n<p>Ahmad, Muneer I. &#8220;American courts are tackling Islamophobia \u2013 why won&#8217;t Europeans? | Muneer I Ahmed.&#8221; <i>The Guardian<\/i>. Guardian News and Media, 17 Mar. 2017. Web. 14 Apr. 2017.<\/p>\n<p>Lemon, Jason, and Un2XjwcisrSKIYij. &#8220;Trump&#8217;s &#8216;Muslim ban&#8217; has been blocked &#8230; again.&#8221; <i>StepFeed<\/i>. N.p., 16 Mar. 2017. Web. 14 Apr. 2017.<\/p>\n<p>&#8220;US federal judge blocks Trump&#8217;s revised travel ban.&#8221; <i>The Muslim News<\/i>. N.p., n.d. Web. 14 Apr. 2017.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>After sorting my tweets into languages in alphabetical order, I found that I had 21 different languages in my tweets between March 16th- 21st. The languages I had are ar, ca, cs, de, el, en es, fa, fi, fr, hr, id, it, ja, nl, pl, ru, sr, sv, tr, zh-CN. After using the Countif equation,&#8230;<\/p>\n","protected":false},"author":1483,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[11,1],"tags":[],"_links":{"self":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3332"}],"collection":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/users\/1483"}],"replies":[{"embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/comments?post=3332"}],"version-history":[{"count":4,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3332\/revisions"}],"predecessor-version":[{"id":3365,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3332\/revisions\/3365"}],"wp:attachment":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/media?parent=3332"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/categories?post=3332"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/tags?post=3332"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}