![](\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Pie-Chart-2-300x199.png\")
<\/p>\nAfter organizing my tweets in the alphabetical order of the language of the tweet, I found the following languages used: Arabic, Bulgarian, Czech, Danish, German, English, British, Spanish, French, Hebrew, Croatian, Hungarian, Indonesian, Italian, Japanese, Korean, Dutch, Norwegian, Portuguese, Russian, Slovak, Swedish, Thai, Turkish, Ukranian, and Chinese, totaling 26 languages. After doing the countif calculation, I found that 2174 of the 4019 tweets I used to be in English. This totals to 54.1% of the tweets in my data set.<\/p>\n
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The languages of choice were English, German, and Spanish, as these were among the languages most frequently used in this range of tweets. It makes sense why such a high percentage of the tweets are in English, as the transgender rights issue is currently the greatest issue in the United States. Spanish also makes sense, as it is one of the most frequently spoken languages in the United States. I am curious as to why German also has such a high percentage – perhaps as German is generally a widely spoken language, many Twitter users speak German. Another possibility is that Twitter simply mis-identified the language, as English and German are relatively similar languages with regards to their letters and spelling.<\/p>\n
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![\"Transgender](\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/Transgender-tweets-300x181.png\")
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Between these two days, over 4000 tweets were uploaded, so I decided against expanding my research to beyond these two days. In addition, these were the tweets I used in the previous lab. The results of the above graph do indicate that there was something substantial that happened on March 21 that caused people to use the #transgender hashtag three times as much as on March 22. After doing a bit of research, I found that on March 21, a male-to-female transgender woman won a weightlifting competition in New Zealand, and this competition brought up the point that the Olympics has specific guidelines against letting transgender individuals compete for certain events. This news could be the cause of the explosion in conversation on Twitter about transgender rights. I found this information in an article on CBN News called “Born a Man, Transgender Weightlifter Wins Women’s Competition.” On March 22, I found that there was a transgender woman who was murdered in Baltimore – she was the eighth transgender individual to be murdered in 2017. I find it interesting that there were very few tweets posted on this day in comparison to the day before; perhaps this could be due to the fact that people were tweeting about previous 2017 murders more and the eighth one did not receive as much recognition. Another possibility is that people simply did not know about the murder yet and tweeted more about it in later days.<\/p>\n
When comparing my data results to those in the rest of the class, it is interesting to see that my mean and median are both around the middle of the extremities. There are some hashtags that have fewer than 300 tweets a day, whereas others have over 5000. My value of 2009.5 tweets per day is not a shocking number in comparison to the other results. This observation indicates that a great amount of people are using the #transgender hashtag, but it is not the most greatly discussed topic on Twitter. #transgender may not be trending at the moment, and therefore the data displays that it is not as popular as topics such as climate change.<\/p>\n
When looking at the count, range, max, and min data, I can clearly see the hashtags that stand out with their extremely high values: #climatechange, #makeAmericagreatagain, and #blacklivesmatter. Even their minimum tweets per day is over 2000, whereas the majority of the other hashtags being studied have values less than a tenth of that. My max value does stand out a bit, with 3061 tweets whereas the majority of the maxes were less than 1000, but my minimum is pretty average in comparison to the rest. These results confirm my above statement that although #transgender is a very commonly discussed issue, it is not on the top of the radar for people’s discussions. I find this observation to be interesting because the highest amount of tweets were found with hashtags that do relate to Trump’s presidency, either in full support or full apprehension for his plans, and #transgender is certainly an issue that pertains to what laws Trump may want to enact.<\/p>\n
When looking at my data together with the rest of the class data, I would say that my hypotheses have not changed. #transgender is certainly a hotly discussed topic, and given that I only put two days of results in my analysis, it is not a fully accurate portrayal of the great number of tweets that use #transgender. The analysis that all of my classmates did ranged between using all their tweets and using 2000 tweets, and this variance changes the class results drastically. Consistency would help make comparisons more easily.<\/p>\n
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Bibliography:<\/p>\n
CBN News. (2017, March 21). Born a Man, Transgender Weightlifter Wins Women’s Competition. Retrieved April 12, 2017, from http:\/\/www1.cbn.com\/cbnnews\/us\/2017\/march\/born-a-man-transgender-weightlifter-wins-womens-competition<\/p>\n
Ring, T. (2017, March 22). Woman Killed in Baltimore Is Eighth Trans Murder Victim of 2017. Retrieved April 12, 2017, from T. (2017, March 22). Woman Killed in Baltimore Is Eighth Trans Murder Victim of 2017. Retrieved April 12, 2017, from http:\/\/www.advocate.com\/crime\/2017\/3\/22\/woman-killed-baltimore-eighth-trans-murder-victim-2017<\/p>\n","protected":false},"excerpt":{"rendered":"
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