{"id":3444,"date":"2017-04-26T10:05:36","date_gmt":"2017-04-26T15:05:36","guid":{"rendered":"http:\/\/commons.trincoll.edu\/amst-data-driven\/?p=3444"},"modified":"2017-04-30T19:24:06","modified_gmt":"2017-05-01T00:24:06","slug":"presentation-for-transgender","status":"publish","type":"post","link":"http:\/\/commons.trincoll.edu\/amst-data-driven\/2017\/04\/26\/presentation-for-transgender\/","title":{"rendered":"Presentation for #transgender"},"content":{"rendered":"<p><iframe src=\"\/\/docs.google.com\/viewer?url=http%3A%2F%2Fcommons.trincoll.edu%2Famst-data-driven%2Ffiles%2F2017%2F04%2Ftransgender-Final-Presentation.pptx&hl=en_US&embedded=true\" class=\"gde-frame\" style=\"width:100%; height:500px; border: none;\" scrolling=\"no\"><\/iframe>\n<p class=\"gde-text\"><a href=\"http:\/\/commons.trincoll.edu\/amst-data-driven\/files\/2017\/04\/transgender-Final-Presentation.pptx\" class=\"gde-link\">Download (PPTX, 886KB)<\/a><\/p>Each of our graphs showed more or less the same information, though some graphs told a slightly more important story than others. For example, the wordcloud and the repulsion charts told a lot about what people are talking about, and we all could gain a better understanding from each of our respective charts what the overall environment is for people who are using our hashtags. The chart that displays where people are tweeting their posts was only significant for my hashtag, since Olivia and Julia only had a couple tweets whereas mine had five with geotags. This data, however, only shows that tweets are posted in major cities, even though it is very likely that a large amount of people post from local towns. Olivia and Julia&#8217;s tweets per day tell a more significant story than mine, as I only chose two days of tweets whereas they picked a full week of tweets. They are able to see the fluctuations in activity for their hashtags.<\/p>\n<p>Regardless of the amount of data we received, however, I would say that the wordcloud and repulsion charts tell the most significant stories of all of the graphs. They are much more diverse than the other graphs we made, as they include a much larger variety of data. The repulsion chart shows all of the conversations and Twitter users, and the wordcloud shows the words used the most frequently in the tweets. Also, it is likely that everyone, or nearly everyone, will be using one or both of these graphs, so using them will make it easier for us to compare our graphs to those of everyone else in the class.<\/p>\n<p>&nbsp;<\/p>\n<p>Outline of presentation:<\/p>\n<ul>\n<li>Gay marriage was finally made legal in the country 2 years ago, but with Trump being elected President of the US, LGBT rights are at risk\n<ul>\n<li>Both rights that are currently approved may be rescinded, and rights that are being fought for may be ignored<\/li>\n<li>Transgender rights are on the forefront of many LGBT movements, as many states and companies do not allow people to use the bathroom of the gender they identify with<\/li>\n<li>Gender neutral bathrooms do not exist in most locations<\/li>\n<\/ul>\n<\/li>\n<li>Transgender rights are not well-received on Twitter\n<ul>\n<li>Wordcloud shows many negative names associated with trans individuals<\/li>\n<li>Other charts not shown display lack of positive reception<\/li>\n<li>Repulsion chart is neutral, but most common words shown are names of Twitter users &#8211; one is a porn site<\/li>\n<\/ul>\n<\/li>\n<li>In comparison to #lgbt and #standwithPP data, people who tweet specifically about trans individuals are critical and often extremely pro-Trump\n<ul>\n<li>Results display that LGBT supporters tend not to show support for specific genders but rather the entire community, leads to skewed data<\/li>\n<\/ul>\n<\/li>\n<li>Article about trans individuals who have a drag show in Walmart, shows that they are still not well-received in the general society<\/li>\n<li>Article about online video games, shows that women are afraid to admit online that they are female because they risk being criticized and stereotyped\n<ul>\n<li>Transgender individuals have an even harder time to admit what gender they identify with, since MTF women are especially criticized<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Each of our graphs showed more or less the same information, though some graphs told a slightly more important story than others. For example, the wordcloud and the repulsion charts told a lot about what people are talking about, and we all could gain a better understanding from each of our respective charts what the&#8230;<\/p>\n","protected":false},"author":1968,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[13],"tags":[],"_links":{"self":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3444"}],"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\/1968"}],"replies":[{"embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/comments?post=3444"}],"version-history":[{"count":2,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3444\/revisions"}],"predecessor-version":[{"id":3601,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/posts\/3444\/revisions\/3601"}],"wp:attachment":[{"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/media?parent=3444"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/categories?post=3444"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/commons.trincoll.edu\/amst-data-driven\/wp-json\/wp\/v2\/tags?post=3444"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}