{"id":344,"date":"2016-02-17T09:43:47","date_gmt":"2016-02-17T14:43:47","guid":{"rendered":"http:\/\/commons.trincoll.edu\/amst-data-driven\/?p=344"},"modified":"2018-05-30T16:44:30","modified_gmt":"2018-05-30T21:44:30","slug":"mapping-trumptrain","status":"publish","type":"post","link":"http:\/\/commons.trincoll.edu\/amst-data-driven\/2016\/02\/17\/mapping-trumptrain\/","title":{"rendered":"Mapping #TrumpTrain"},"content":{"rendered":"<p>In the first blog post I expounded upon the hashtag #TrumpTrain and how it is used with reference to the upcoming 2016 United States presidential election. \u00a0Due to these remarks, I expect to see people using this hashtag primarily in the United States, as it is their election and they would clearly have the most to say about it. \u00a0With that being said, I would not doubt it if I found several other countries who use it to express their opinions of the candidate Donald Trump. \u00a0He has an international presence and I am sure many people from around the world have the desire to chime in and make statements about his campaign. \u00a0Further, in reference to latitude and longitude: the vast majority of the tweets will be between 0\u00ba to 90\u00ba latitude and 0\u00ba to -90\u00ba longitude. \u00a0My hometown is within these constraints; however if I had to specifically state where my hometown is located I would guess it is at about 45\u00ba latitude and 70\u00ba longitude. \u00a0Although they may not be included in the\u00a0\u22481% of data with tagged locations,\u00a0I think that my town specifically is\u00a0extremely interested in this debate. \u00a0Being from Kennebunkport, I think we are extremely connected to the discussion of politics because presidents visit on a constant basis and there is always a heated debate as to who likes who and<\/p>\n<p>117,567 Total Tweets, 30 tweets with geolocations,\u00a0\u22480.025% mappable tweets. \u00a0My first reaction to these numbers is disappointment. \u00a0I was really hoping to see many more geolocated tweets given the vast number of original tweets. \u00a0As Yau states, &#8220;visualization is a medium: a way to explore, present, and express meaning in data,&#8221;[1] he goes on to further this by stating, &#8220;visualization not only lends itself well to narratives but also clarifying and communicating ideas.&#8221;[2] \u00a0With that being said, the extremely small amount of data is problematic as it does not express a large enough group of people to be considered influential. Although it may not be influential, it still contains meaning. \u00a0I think that my data will be able to show how it a discussion centralized in the United States of America, but I personally would have like to see many more data points to act as a larger sample size. \u00a0This small number can certainly underrepresent those who are in support of Donald Trump, or those who use the hashtag #TrumpTrain in a negative manner. \u00a0To expound in this question further, I certainly do not think that I have big data. \u00a0As boyd and Crawford discuss in the reading, <em>Critical Questions for Big Data<\/em>, &#8220;Big data is less about data that is big than it is about a capacity to search, aggregate, and cross reference large data sets.&#8221;[3] \u00a0My data is not large at all, relatively speaking, and is not difficult at all to cross reference and search through. \u00a0There are only 30 entries and thus, an extremely small sample that is in no way big data. \u00a0In asking around people generally had\u00a0less than me; however, when factoring the total number of tweets, their percentage was much higher that mine. \u00a0I found this peculiar because I am under the impression that when you support someone or something you should not withhold information. \u00a0If people are indeed not desiring to share their location on politically sensitive tweets, they may feel embarrassed or threatened regarding their political leanings. \u00a0Secondly, I think that on a global scale, many individuals are becoming much more censored on social media due to the overall dangerousness of the internet and specifically the large number of hackers. \u00a0There is a vast majority of pole who do not want to share their location simply for security reasons. In skimming through my tweets I found that they are certainly centralized in the United States (for reasons I previously explained), although I did find one outlier which I am very interested to find out where it is precisely located. \u00a0Just based of my current latitude and longitude knowledge I think it may be located somewhere in Africa! \u00a0Further, the languages all state &#8220;en.&#8221; This is due to the fact that they are all, for the most part, located in the United States where the majority of individuals speak english. \u00a0This solidifies my reasoning that the majority of people who tweet using the hashtag #TrumpTrain are english speaking Americans.<\/p>\n<p>&nbsp;<\/p>\n\n<!-- iframe plugin v.4.5 wordpress.org\/plugins\/iframe\/ -->\n<iframe width=\"100%\" height=\"520\" frameborder=\"0\" src=\"https:\/\/data0driven0drigotas.cartodb.com\/viz\/6cd1e518-d5e8-11e5-815d-0e8c56e2ffdb\/embed_map\" 0=\"allowfullscreen\" 1=\"webkitallowfullscreen\" 2=\"mozallowfullscreen\" 3=\"oallowfullscreen\" 4=\"msallowfullscreen\" scrolling=\"yes\" class=\"iframe-class\"><\/iframe>\n\n<p>To begin this discussion, I wanted to discuss my reasoning for the design of my map. \u00a0I wanted to create clarity and make it very clear where these tweets were coming from. \u00a0Thus, I chose the change the background of the map to green and turn the data point to contrasting colors of red and blue (for both contrast and patriotic reasons, obviously.) \u00a0Upon a visual completion of the map, the first thing I immediately noticed was that the majority of the 30 tweets were located in Arkansas and the southern portion of the US as a whole. \u00a0I think that this can provide insightful information that there are many individuals in this region who feel strongly, either for or against, Donald Trump. \u00a0I think that these publicly expressed opinions are due to the frequent stops Donald Trump has made during this campaign in Arkansas. \u00a0The numbers he pulled at his Little Rock rally were large and proved to be an influential piece to his campaign. \u00a0I was not surprised to see that there were tweets form both Iowa and New Hampshire as they are two of the first states to vote in the 2016 election. \u00a0The race in these past few weeks have been centrally located around these states.<\/p>\n<p style=\"text-align: center\">RACE: Blue = White \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Green = African American\/Black \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Purple = Some other Race<\/p>\n<figure id=\"attachment_462\" aria-describedby=\"caption-attachment-462\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1970.png\" rel=\"attachment wp-att-462\"><img loading=\"lazy\" class=\"wp-image-462 size-medium\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1970-300x188.png\" alt=\"Race 1970\" width=\"300\" height=\"188\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1970-300x188.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1970-768x480.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1970-1024x640.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1970-480x300.png 480w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1970.png 1440w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><figcaption id=\"caption-attachment-462\" class=\"wp-caption-text\">Race 1970<\/figcaption><\/figure>\n<figure id=\"attachment_463\" aria-describedby=\"caption-attachment-463\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1990.png\" rel=\"attachment wp-att-463\"><img loading=\"lazy\" class=\"size-medium wp-image-463\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1990-300x188.png\" alt=\"Race 1990\" width=\"300\" height=\"188\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1990-300x188.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1990-768x480.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1990-1024x640.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1990-480x300.png 480w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race1990.png 1440w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><figcaption id=\"caption-attachment-463\" class=\"wp-caption-text\">Race 1990<\/figcaption><\/figure>\n<figure id=\"attachment_464\" aria-describedby=\"caption-attachment-464\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race2010.png\" rel=\"attachment wp-att-464\"><img loading=\"lazy\" class=\"size-medium wp-image-464\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race2010-300x188.png\" alt=\"Race 2010\" width=\"300\" height=\"188\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race2010-300x188.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race2010-768x480.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race2010-1024x640.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race2010-480x300.png 480w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Race2010.png 1440w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><figcaption id=\"caption-attachment-464\" class=\"wp-caption-text\">Race 2010<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center\">INCOME: Key is located on images.<\/p>\n<figure id=\"attachment_459\" aria-describedby=\"caption-attachment-459\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1970.png\" rel=\"attachment wp-att-459\"><img loading=\"lazy\" class=\"wp-image-459 size-medium\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1970-300x188.png\" alt=\"Income 1970\" width=\"300\" height=\"188\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1970-300x188.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1970-768x480.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1970-1024x640.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1970-480x300.png 480w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1970.png 1440w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><figcaption id=\"caption-attachment-459\" class=\"wp-caption-text\">Income 1970<\/figcaption><\/figure>\n<figure id=\"attachment_460\" aria-describedby=\"caption-attachment-460\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1989.png\" rel=\"attachment wp-att-460\"><img loading=\"lazy\" class=\"wp-image-460 size-medium\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1989-300x188.png\" alt=\"Income 1989\" width=\"300\" height=\"188\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1989-300x188.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1989-768x480.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1989-1024x640.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1989-480x300.png 480w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income1989.png 1440w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><figcaption id=\"caption-attachment-460\" class=\"wp-caption-text\">Income 1989<\/figcaption><\/figure>\n<figure id=\"attachment_461\" aria-describedby=\"caption-attachment-461\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income2010.png\" rel=\"attachment wp-att-461\"><img loading=\"lazy\" class=\"wp-image-461 size-medium\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income2010-300x188.png\" alt=\"Income 2010\" width=\"300\" height=\"188\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income2010-300x188.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income2010-768x480.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income2010-1024x640.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income2010-480x300.png 480w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Income2010.png 1440w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><figcaption id=\"caption-attachment-461\" class=\"wp-caption-text\">Income 2010<\/figcaption><\/figure>\n<p style=\"text-align: center\">`<\/p>\n<figure id=\"attachment_457\" aria-describedby=\"caption-attachment-457\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1970.png\" rel=\"attachment wp-att-457\"><img loading=\"lazy\" class=\"wp-image-457 size-medium\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1970-300x188.png\" alt=\"Education 1970\" width=\"300\" height=\"188\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1970-300x188.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1970-768x480.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1970-1024x640.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1970-480x300.png 480w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1970.png 1440w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><figcaption id=\"caption-attachment-457\" class=\"wp-caption-text\">Education 1970<\/figcaption><\/figure>\n<figure id=\"attachment_458\" aria-describedby=\"caption-attachment-458\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1990.png\" rel=\"attachment wp-att-458\"><img loading=\"lazy\" class=\"wp-image-458 size-medium\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1990-300x188.png\" alt=\"Education 1990\" width=\"300\" height=\"188\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1990-300x188.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1990-768x480.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1990-1024x640.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1990-480x300.png 480w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education1990.png 1440w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><figcaption id=\"caption-attachment-458\" class=\"wp-caption-text\">Education 1990<\/figcaption><\/figure>\n<figure id=\"attachment_456\" aria-describedby=\"caption-attachment-456\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education-2010.png\" rel=\"attachment wp-att-456\"><img loading=\"lazy\" class=\"wp-image-456 size-medium\" src=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education-2010-300x188.png\" alt=\"Education 2010\" width=\"300\" height=\"188\" srcset=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education-2010-300x188.png 300w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education-2010-768x480.png 768w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education-2010-1024x640.png 1024w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education-2010-480x300.png 480w, http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2016\/02\/Education-2010.png 1440w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><figcaption id=\"caption-attachment-456\" class=\"wp-caption-text\">Education 2010<\/figcaption><\/figure>\n<p>I picked the location of the tweet sent from Little Rock, Arkansas. \u00a0I found this place of interest as it was one of the locations of Donald Trump&#8217;s biggest rally&#8217;s. \u00a0I think it is a place of great dispute in his campaign which is a reason as to why I found great interest in it. \u00a0The biggest ting I noticed was how the US Census System has changed over the last 40 years. \u00a0There has been a great influx of diversity recorded which I find absolutely fascinating. \u00a0This was proved time and time agin in the maps I present above. \u00a0I picked race, income, and education levels as my three topics to track. \u00a0I found extreme shifts in each of these categories. \u00a0I think that this is the case for several different reasons. \u00a0I think that primarily the change in census question\/criteria affects the results. \u00a0I found that there were approximately 4 times as many different types of data to search for as the years progressed from 1970 to 2010. \u00a0This was extremely apparent in the race category. \u00a0In 1970 there were only three options to create a visual from: White, Black, and Chinese. \u00a0I found it fascinating that in the 40 year span the criteria increased from these three to about 6. \u00a0Due to the three criteria in 1970 I decided to only focus on White, Black, and Other as it provided a more streamlined visual. \u00a0With that being said, I did not find that there were many other races other than white an Black in this area at all. \u00a0What I did notice, however, is that the fluctuation every 10 years was drastic and seemed to change in 1990 and then go back to its previous standing\u00a0in 2010. \u00a0I think that race certainly plays an important role in this election, especially when focusing on Donald Trump. \u00a0 I think it will be interesting to see in the future if the overwhelming Black community in Little Rock decides to elect Donald Trump as their republican nominee. \u00a0 The other map I want to look at is income. \u00a0The level of income has greatly increased over the last 40 years which may be due to the influx in population and the globalization of the city. \u00a0I think that income also plays a detrimental role in this discussion. \u00a0In fact, all three criteria can be tied together when discussing Donald Trump and his impact in Little Rock. \u00a0It allows for so many different aspects of a region to be tied together and understood. \u00a0This data may be limiting, but I think that it provides important insights. \u00a0It begs the question, does the current racial-economic-education standing in Little Rock find the wealthy, educated, white, Donald Trump to be a potential leader?<\/p>\n<p>I found it extremely difficult to find scholarly articles on Donald Trump as well as on the 2016 Presidential Campaigns. \u00a0What I did find though were a few recent articles in which Donald Trump is quoted. \u00a0I found these to be of interest because they prove to me that no matter what the setting he is in, he will speak his mind with complete political incorrectness. \u00a0Although I personally find political correctness to be constantly taken to an extreme, especially in recent months, Donald Trump takes his lack for censorship to a new level. \u00a0In the <em>Colombia Law Review<\/em>, Trump is quoted as stating,\u00a0&#8220;we have a lot of really bad dudes in this country from outside,&#8221; which has led to &#8220;gangs all over the place.&#8221;[4] \u00a0This is a response to current President Obama&#8217;s DACA act which discusses child immigration into the United States. \u00a0I examine this quote and immediately it begs the question: is Donald Trump truly fit to head our nation? \u00a0Words like these completely belittle individuals through complete and utter disregard for foreign immigrants. \u00a0I personally find this to be a troublesome quality in a &#8220;leader&#8221; and will certainly have a hard time appreciating his campaign. \u00a0The second article I found referencing Donald Trump referenced his ethics. \u00a0Titled, &#8220;The Method of SharedConcern: A Positive Approach to Bullying in Schools,&#8221; the author Gerald Walton suggests that, &#8220;Donald Trump [has] made bullying a very lucrative enterprise. Thinking of bullying as a much more engrained aspect of contemporary culture suggests that the method of shared concern is limited by the theory of bullying on which it is based.&#8221; [5] \u00a0I find this to be extremely accurate. \u00a0I have personally watched nearly every single debate thus far and have found that Trump uses bullying of other candidates to his advantage. \u00a0He builds himself up and puts others down. \u00a0I think that this connects with the previous article and truly questions\u00a0his ethics and treatment of other individuals. \u00a0I personally do not think that his personality fits the criteria to be a level-headed leader. \u00a0Unfortunately I am not sure how this would relate to the maps. \u00a0I think that some people just do not realize how his actions are perceived by immigrants, foreigners, and even US citizens.<\/p>\n<p>Kitchin\u00a0&amp; Dodge bring up the idea of coded space in their article,\u00a0<em>Introducing\u00a0Code\/Space<\/em>. \u00a0In this they define this term as\u00a0&#8220;spaces where software makes a difference to the transduction of spatiality&#8221;[6] \u00a0They further this by explaining that the difference between coded space and code\/space is that &#8220;code\/space is dependent on the dyadic relationship between code and space.&#8221;[7] \u00a0Thus, the code influences the space and the space influences the code. \u00a0This code\/space relationship is only made possible through technology; Stephen Graham furthers this discussion by detailing\u00a0software-sorted geographies. \u00a0These are, &#8220;the ways in which individual and collective life chances are shaped increasingly by their treatment within computer-controlled, customized, service domains.&#8221;[8] \u00a0I think that this does influence my topic and the hashtag #TrumpTrain. \u00a0I think that when looking at this topic it is indeed a technologically, internet-based phenomenon in which the results are shaped by these computer-controlled service domains. \u00a0I\u00a0think that the data is unquestionably both a project and a product of American culture as it is created and defined within its boundaries. \u00a0On top of this, I think that the data extends beyond the borders and it becomes a world issue and question. \u00a0I think that by understanding these software created geographies on greater scale, we can begin to understand trends and the reason for this mass collection of data.<\/p>\n<p>&nbsp;<\/p>\n<ol>\n<li>Yau, Nathan. 2013. \u201cUnderstanding Data.\u201d In <em>Data Points: Visualization That Means Something<\/em>, 44. Hoboken: Wiley.<\/li>\n<li>Ibid, 63.<\/li>\n<li>boyd, danah, and Kate Crawford. 2012. \u201cCritical Questions for Big Data.\u201d <em>Information, Communication &amp; Society<\/em> 15 (5): 663.<\/li>\n<li>Figueroa-Santana, Bianca. 2015. \u201cDIVIDED WE STAND: CONSTITUTIONALIZING EXECUTIVE IMMIGRATION REFORM THROUGH SUBFEDERAL REGULATION\u201d. <i>Columbia Law Review<\/i> 115 (8). Columbia Law Review Association, Inc.: 2222. http:\/\/www.jstor.org.ezproxy.trincoll.edu\/stable\/43655762.<\/li>\n<li>Walton, Gerald. 2013. <i>Canadian Journal of Education \/ Revue Canadienne De L&#8217;\u00e9ducation<\/i> 36 (4). Canadian Society for the Study of Education: 456. http:\/\/www.jstor.org.ezproxy.trincoll.edu\/stable\/canajeducrevucan.36.4.454.<\/li>\n<li>Kitchin, Rob, and Martin Dodge. 2014. \u201cIntroducing Code\/Space.\u201d In <em>Code\/Space: Software and Everyday Life<\/em>, 18. Cambridge, MA: MIT Press.<\/li>\n<li>Graham, Stephen D. N. 2005. \u201cSoftware-Sorted Geographies.\u201d In <em>The People, Place and Space Reader<\/em>, eds. Gieseking, Mangold, Katz, Low, Saegert, 134. New York: Routledge.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>In the first blog post I expounded upon the hashtag #TrumpTrain and how it is used with reference to the upcoming 2016 United States presidential election. \u00a0Due to these remarks, I expect to see people using this hashtag primarily in the United States, as it is their election and they would clearly have the most&#8230;<\/p>\n","protected":false},"author":1630,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5],"tags":[],"_links":{"self":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/344"}],"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\/1630"}],"replies":[{"embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/comments?post=344"}],"version-history":[{"count":14,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/344\/revisions"}],"predecessor-version":[{"id":485,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/344\/revisions\/485"}],"wp:attachment":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/media?parent=344"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/categories?post=344"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/tags?post=344"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}