{"id":2125,"date":"2017-02-17T11:25:30","date_gmt":"2017-02-17T16:25:30","guid":{"rendered":"http:\/\/commons.trincoll.edu\/amst-data-driven\/?p=2125"},"modified":"2017-02-17T18:19:50","modified_gmt":"2017-02-17T23:19:50","slug":"marching-across-the-globe-whyimarch","status":"publish","type":"post","link":"http:\/\/commons.trincoll.edu\/amst-data-driven\/2017\/02\/17\/marching-across-the-globe-whyimarch\/","title":{"rendered":"Marching Across the Globe #WhyIMarch"},"content":{"rendered":"

Part I<\/strong><\/p>\n

I expect a majority of the people using the #WhyIMarch hashtag to be tweeting from the United States, since the women\u2019s march started with protests against the inauguration of President Donald Trump in America. I expect the longitude and latitude with the most tweets to be around the Washington D.C. area, (40\u00b0 N, 90\u00b0 W). The largest women\u2019s march occurred on January 21st<\/sup> in Washington D.C. so I expect most of the tweets to be from that area. I think the longitude and latitude of my hometown area is similar to Washington D.C., but father North and farther East, maybe (45\u00b0 N, 85\u00b0 W). Yes, I believe people will be tweeting about this issue there because there are a lot of women and men in my hometown who voted against Trump and believe strongly in women\u2019s rights.<\/p>\n

Part II<\/strong><\/p>\n

= ( 48 \/ 10, 154 )<\/p>\n

= .00473<\/p>\n

There are 10,154 tweets, 48 of which have their geo coordinates turned on. This means that .473% of my total tweets are able to be mapped. 10,154, 48, .473%. This mappable data is a very small percentage of the total tweets that I originally had. I believe that the 48 tweets with geo-locations turned on will\u00a0underrepresent my data, because the number of tweets shown will be much less. From what I can tell, the 48 tweets seem to be mostly coming from the U.S., which under represents the users tweeting from outside of our country.<\/p>\n

Most of the tweets look like they are coming from similar longitude and latitudes, which is the east coast of the United States. Most of the tweets have a latitude of around 30-40 and longitude of -70 to -90 which is East coast of U.S. I believe that most of the tweets are located there for the same reasons that I stated in the first paragraph. The women\u2019s march took place in Washington D.C., so it makes sense that most of the tweets are around that location. The language column shows that every tweet with the geolocation turned on is in English. Looking at user location, there are many tweets from Florida, New York, and Washington D.C., and also some from Texas, California, Chicago, Wisconsin, and Minneapolis. I was surprised to see that there were more tweets from Florida than from Washington D.C. on my hashtag. This is interesting because Florida is one of the biggest swing states, and played a huge role in the presidential election. There are many people in Florida who are against President Trump\u2019s anti-women views and it is great to see that they are speaking up through Twitter.<\/p>\n

Boyd and Crawford define Big Data \u201cas a cultural, technological, and scholarly phenomenon that rets on the interplay of\u2026 technology, analysis, and mythology\u201d<\/em> (Boyd & Crawford, 663). I believe that I do have big data, as I collected 10,154 tweets total in my collection. This group of tweets with #WhyIMarch hashtag combined is a powerful tool to address the social ill of women\u2019s rights. Boyd and Crawford state that \u201cBig Data enables the practice of apophenia: seeing patterns where none actually exist, simply because enormous quantities of data can offer connections that radiate in all directions\u201d (268). There is an enormous group of my hashtag, however when the geo-location is turned on, I can only see 48 of those tweets. Caroline and Danny are both in my group. Caroline\u2019s hashtag, #Islamophobia, had 20,482 total tweets, and 10 geo-locations turned on. Danny\u2019s hashtag, #ObamaCare, had 58,977 tweets, and 9 geo-locations turned on. This makes me see that my data is not as big as I thought it was. They both have at least twice as much data as I have. I believe this may be due to the fact that each of their topics cover a broader issue than mine since more people are tweeting about their opinions and thoughts on Islamophobia Obama Care. However, I have a much larger percent of tweets with geo-locations turned on. I have not quite figured out why that is the case, but I presume that people who tweet about women\u2019s rights don\u2019t mind their location being shown, where as those who tweet about Islamophobia or Obama Care are more hesitant to show their identity\/location.<\/p>\n

 <\/p>\n

Part III<\/strong><\/p>\n\n\n