{"id":347,"date":"2019-02-05T04:36:11","date_gmt":"2019-02-05T04:36:11","guid":{"rendered":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/?p=347"},"modified":"2019-02-05T04:36:12","modified_gmt":"2019-02-05T04:36:12","slug":"reflection-3-02-04-tucker-crull","status":"publish","type":"post","link":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/2019\/02\/05\/reflection-3-02-04-tucker-crull\/","title":{"rendered":"Reflection #3 \u2013 02\/04 &#8211; Tucker Crull"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\"><strong>Early Public Responses to the\nZika-Virus on YouTube:&nbsp;<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Summary:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This\nis a study about the authors analyzed the content of the most popular videos\nposted on YouTube in the first phase of the Zika-virus outbreak in 2016 and how\nthe user responded to the videos. They examined how much informational and\nconspiracy theory videos differ in number of comments, shares, likes and\ndislikes, and the sentiment and content of the user responses. Their study shows\nthat there are no statistical differences in the number of user activity and\nsentiment between the two types if videos. Also they found that the user\nresponse content was different between the two videos but the user of the\nvideos do not in engage with the conversation. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Reflection:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>The\nlow engagement of YouTube users viewing Zika-virus related content is an\nimportant finding, showing that these users express their opinion in their\nresponses without further participating in conversations: <\/strong>Getting\nuser to engage and interact with social media content is probably one of the\nhardest and most valuable things that a content creator can do. So, it\u2019s not suspiring\nthat the users only post their opinion in the comment section. It would be interesting\nto see if user engage more with this topic on other social media platforms. Also\nit would fascinating to see how the engage would change if the creator of the\nvideo asked a question at the end of the video. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>To counter the spread\nof misinformation, the monitoring of the content posted on YouTube deserves\nmore attention by health organizations: <\/strong>I feel like monitoring content on YouTube\nwould be a very costly endeavor for Health organizations<strong>. <\/strong>This is because there is no good way of finding the misinformation\nin a video. I think a better solution to fight against misinformation is to\nhave \u201conline health interventions can be targeted on the most active social\nmedia users<strong>\u201d<\/strong>. However, this solution\ncould have a problem that the interventions could give the misinformation a big\nplatform. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Automated Hate Speech Detection and the Problem of Offensive\nLanguage:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Summary:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This\nstudy set out to solve a key challenge for automatic hate speech detection on social\nmedia. This challenge is how to separate of hate speech from other forms of\noffensive languages. The challenge comes from the fact that lexical detection\nmethods tend to have low precision because they overclassify messages as high\nspeech. The results show that racist and homophobic tweets are more likely to\nbe classified as hate speech but that sexist tweets are generally classified as\noffensive and tweets without hate keywords are also harder to classify. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Reflection:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I found this paper very helpful that the paper show examples\nhow hard it is to determine hate speech from offensive language. I thought this\npaper did a great job reflecting and finding reasons why some tweets were misclassified.\nLike how they found a few recurring phrases such as these h*es ain\u2019t loyal that\nwere actually lyrics from rap songs that users were quoting. This is really interesting\nbecause I believe that our society is trying to eliminate hate speech but also\nlistens to popular rap music that promotes hate speech.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>We also found a small\nnumber of cases where the coders appear to have missed hate speech that was\ncorrectly identified by our model:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I thought that is was surprising that the coders missed hate\nspeech because their classification are what the model is train on. This could\nhave led to the study results being off or could have improve the results. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Early Public Responses to the Zika-Virus on YouTube:&nbsp; Summary:&nbsp; This is a study about the authors analyzed the content of the most popular videos posted on YouTube in the first phase of the Zika-virus outbreak in 2016 and how the user responded to the videos. They examined how much informational and conspiracy theory videos differ [&hellip;]<\/p>\n","protected":false},"author":238,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-347","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\/347","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\/238"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/comments?post=347"}],"version-history":[{"count":1,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/posts\/347\/revisions"}],"predecessor-version":[{"id":349,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/posts\/347\/revisions\/349"}],"wp:attachment":[{"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/media?parent=347"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/categories?post=347"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/cs4984spring19\/wp-json\/wp\/v2\/tags?post=347"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}