{"id":431,"date":"2019-02-07T04:18:48","date_gmt":"2019-02-07T04:18:48","guid":{"rendered":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/?p=431"},"modified":"2019-02-07T04:20:43","modified_gmt":"2019-02-07T04:20:43","slug":"reflection-4-02-06-heather-robinson","status":"publish","type":"post","link":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/2019\/02\/07\/reflection-4-02-06-heather-robinson\/","title":{"rendered":"Reflection #4 &#8211; 02\/06 &#8211; Heather Robinson"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>Analyzing Right-wing YouTube Channels: Hate, Violence, and Discrimination<\/em><br><\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">Summary<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The authors used a multi-layered analysis to compare (1) video captions vs. comments and (2) right-wing captions and comments vs. baseline captions and comments.<br><\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">Reflection<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Overall, I think this paper was awesome. There were little to no flaws in the data collection process, the authors explained how they achieved their final statistics in great detail, they had a pretty extensive reflection that interpreted what each part of the data meant, and the conclusion addressed specific downfalls and future research methods.<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>I was particularly blown away by the structure of the graphs in the lexicon analysis.<\/strong> The authors were able to display such a large amount of data in a small space while still maintaining its readability and meaning. I found the actual results of this study to be more understandable than usual, perhaps because the authors often used simplified graphs rather than extensive amounts of numbers. I will definitely be using the structure of this paper\u2019s statistics as a reference for future projects.<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Although I thoroughly enjoyed this study, I would like to address a small issue that I noticed: <strong>there is no big-picture analysis<\/strong>. The authors do an extraordinary job at explaining what the data means, but they don\u2019t interpret or guess why it is that way. For example, why might right-wing channels have a higher focus on terrorism? What are the over-arching trends?<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the conclusion, the authors wrote,<br><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>\u201cThese findings contribute to a better understanding of the behavior of general and right-wing YouTube users.\u201d<\/p><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">To what end? Why does it matter? <strong>What changes do the authors want to see by the publishing of this study?<\/strong> Do they want YouTube to change the way its algorithm promotes content in some way? None of this is discussed.<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">Further Questions<\/h2>\n\n\n\n<ol class=\"wp-block-list\"><li><strong>Why were most of the baseline comments focused around celebrities? Is it perhaps because approximately 40% of the comments used are from the channel DramaAlert?<\/strong><\/li><li>Why do right-wing comments generally exhibit more anger? Could we somehow find out who this anger is directed towards?<\/li><li>What would very left-wing channels look like with these same features applied?<\/li><li>What other methods could we use to select \u201cbaseline\u201d channels? Could we hand-select them?<\/li><li>What would these features look like applied to other types of content on YouTube? For example, the \u201cEntertainment\u201d category instead of \u201cNews.\u201d<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Analyzing Right-wing YouTube Channels: Hate, Violence, and Discrimination Summary The authors used a multi-layered analysis to compare (1) video captions vs. comments and (2) right-wing captions and comments vs. baseline captions and comments. Reflection Overall, I think this paper was awesome. There were little to no flaws in the data collection process, the authors explained [&hellip;]<\/p>\n","protected":false},"author":249,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-431","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/posts\/431","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/users\/249"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/comments?post=431"}],"version-history":[{"count":3,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/posts\/431\/revisions"}],"predecessor-version":[{"id":435,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/posts\/431\/revisions\/435"}],"wp:attachment":[{"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/media?parent=431"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/categories?post=431"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/tags?post=431"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}