I was expecting to see many tweets directly relating to Donald Trump. Most tweets had something to do with him and his actions as President. There are also a notable amount of tweets mocking the thought of alternative facts. I expect to see the most tweets between 0° and 90° latitude and 0° to -90° longitude. I assume this is because #alternativefacts relates directly to America and the recent election. I would guess my hometown is somewhere around 58° latitude and 90° longitude.
Out of my 69,554 tweets, 72 have a geolocation. 72/69,554 = .1035% of the tweets have a geolocation. Out of the 72 tweets with a location, all but two are located within the united states. The two not in the US have a latitude of -36.82 and -44.73. Most of the tweets are located within the US because #alternativefacts is a recent term created by the Trump administration. All tweets are in english which is not surprising because it pertains mainly to the US.
I do have big data. Within only a few weeks there have been around 70,000 tweets using the hashtag #alternativefacts. As time goes forward, the data will continue to grow. It also only includes tweets using specifically “#alternativefacts”. It is not including all tweets talking about alternative facts. If it was including all tweets, I am sure the data set would be incredibly larger. Those in my hashtag team both have less data than me. This is because my data set is so large. There is a notable difference in numbers between #datarescue and #alternativefacts, roughly 69,000.
https://chzucc25.carto.com/builder/de112f3c-f530-11e6-afa5-0e8c56e2ffdb/embed
My map is primarily covering the United States with some tweets also coming from Western Europe. The majority of tweets are about President Trump and his actions/plans. There are also some tweets mocking other things such as the NFL.
The tweet reads “Alternative Facts 2017 Ink and Paper #alternativefacts” It is followed with a link to a piece of art mocking America as a whole. I found this very interesting because this is one of the incidents where no facts are being presented rather mocking the President and his agenda. The tweet was from Abingdon Virginia
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The patterns shown show people around Washington D.C. mostly regarding actual politics. The same is also to be said for New Englanders. Those tweets from the midwest and western states show to be less political and more lashing out or making fun of either Trump, his administration, or random things they seemed to dislike.
In a world of facts that can never be sure to be true, it is obvious that this hashtag would bode well in the area of big data. This is an immense amount of tweets and it is expected that they would be mapped in this way considering the relationships that the United States holds with each of the other regions. The content of these tweets are dispersed in a way that would have more liberal regions mocking Donald Trump and more conservative regions liking his policies or being less political, I agree with that. This is a straightforward post and speaks to the notoriety of some of Mr. President’s policies.
This is an interesting data set to look at since your data set is so large compared to the data sets of others and because this concept of “alternative facts” has been newly invented. I think it is interesting that there are a number of tweets about #alternativefacts coming out of Europe and that you pointed this out. I would definitely suggest looking into some of the areas where your tweets are coming from and getting an idea of the political climate and specific motives of people tweeting using this hashtag. I like that you are considering how the hashtag is being used in different contexts. I think you could gain a deeper understanding of your data set by looking at specific examples and following them in depth. Although a few examples obviously cannot be representative of your entire data set, I think you could develop new ways of thinking about your data by doing this. After reading your post, I will definitely pay closer attention to the context in which my hashtag is being used and how that develops over time.