{"id":9873,"date":"2023-04-09T14:12:59","date_gmt":"2023-04-09T18:12:59","guid":{"rendered":"https:\/\/pages.charlotte.edu\/aaron-toscano\/?page_id=9873"},"modified":"2023-04-09T15:55:06","modified_gmt":"2023-04-09T19:55:06","slug":"engl2116april12","status":"publish","type":"page","link":"https:\/\/pages.charlotte.edu\/aaron-toscano\/engl2116-014spring2023\/engl2116april12\/","title":{"rendered":"April 12th: Writing Ethically"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\"><strong>Ch. 3 &#8220;Writing Ethically&#8221;<\/strong><\/h3>\n\n\n\n<p>Let&#8217;s breeze through Ch. 3 (a very short chapter) and then move on to think critically about statistical (mis)use. Below are some important aspects of the chapter:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Obligations<\/strong>\n<ul class=\"wp-block-list\">\n<li>Review the various groups to whom you&#8217;re obligated professionally (pp. 31-32).<\/li>\n\n\n\n<li>Tebeaux &amp; Dragga mention that &#8220;Typically, none of your choices will be entirely satisfactory, and from time to time all your choices will be unsatisfactory&#8221; (p. 32). One goal of your college education is to learn to deal with ambiguity, and a sign of maturity is to deal with situations that aren&#8217;t black and white. We have to learn to deal with gray areas.<\/li>\n\n\n\n<li>Or, as Tyrion Lannister from <em>Game of Thrones<\/em> put it (paraphrasing): &#8220;Everyone is a little disappointed, so that must mean the decision was correct.&#8221;<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Codes of Conduct<\/strong>\n<ul class=\"wp-block-list\">\n<li>Various professional organizations require adherence to codes of conduct. These codes can be rather formal like the ones defined by &#8220;the American Institute of Certified Public Accountants or&#8230;the American Medical Association&#8221; (p. 36).<\/li>\n\n\n\n<li>Although we talk about legal gray areas, violating these codes of conduct can be pretty clear evidence of liability in litigation brought against you or your organization.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Ethical Communication<\/strong>\n<ul class=\"wp-block-list\">\n<li>&#8220;Writing clearly, accurately, and effectively is a crucial part of your job. And once a document leaves your control, it takes on a life of its own&#8221; (p. 38)<\/li>\n\n\n\n<li>Notice that Tebeaux &amp; Dragga mention &#8220;deliberately using imprecise or ambiguous language, manipulating statistics, using misleading visuals,&#8230;and distributing misinformation&#8221; are unethical (p. 38).<\/li>\n\n\n\n<li>Furthermore, &#8220;promoting prejudice&#8221; is also unethical, and there is no shortage of the kinds of trouble people and organizations have gotten into&#8211;especially lately&#8211;because they promoted prejudice (p. 38).<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Plagiarism<\/strong>\n<ul class=\"wp-block-list\">\n<li>Obviously, passing off work as your own without proper credit being given to the original source is plagiarism. However, that&#8217;s not all that falls under plagiarism, and it&#8217;s your job to make sure you&#8217;re appropriately citing material and\/or using copyrights, trademarks, and brand standards with permission.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p>Chapter 3 has a good discussion on manipulating data and illustrations (pp. 41). Darrel Huff&#8217;s &#8220;How to Lie with Statistics&#8221; is a classic example of data manipulation, so please read that before next week.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Next Week<\/strong><\/h2>\n\n\n\n<p>Keep up with the syllabus. We&#8217;ll be continuing our ethics unit next week. Don&#8217;t forget to do your <strong>Weekly Class Discussion Post #13<\/strong> before Thursday, 4\/13, 11:00pm<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ch. 3 &#8220;Writing Ethically&#8221; Let&#8217;s breeze through Ch. 3 (a very short chapter) and then move on to think critically about statistical (mis)use. Below are some important aspects of the chapter: Chapter 3 has a good discussion on manipulating data and illustrations (pp. 41). Darrel Huff&#8217;s &#8220;How to Lie with Statistics&#8221; is a classic example [&hellip;]<\/p>\n","protected":false},"author":598,"featured_media":0,"parent":9408,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-9873","page","type-page","status-publish","hentry"],"jetpack_shortlink":"https:\/\/wp.me\/P2HAOx-2zf","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/aaron-toscano\/wp-json\/wp\/v2\/pages\/9873","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/aaron-toscano\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/aaron-toscano\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/aaron-toscano\/wp-json\/wp\/v2\/users\/598"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/aaron-toscano\/wp-json\/wp\/v2\/comments?post=9873"}],"version-history":[{"count":3,"href":"https:\/\/pages.charlotte.edu\/aaron-toscano\/wp-json\/wp\/v2\/pages\/9873\/revisions"}],"predecessor-version":[{"id":9901,"href":"https:\/\/pages.charlotte.edu\/aaron-toscano\/wp-json\/wp\/v2\/pages\/9873\/revisions\/9901"}],"up":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/aaron-toscano\/wp-json\/wp\/v2\/pages\/9408"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/aaron-toscano\/wp-json\/wp\/v2\/media?parent=9873"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}