{"id":204,"date":"2022-02-16T16:44:07","date_gmt":"2022-02-16T21:44:07","guid":{"rendered":"https:\/\/pressbooks.library.ryerson.ca\/criticaldataliteracy\/?post_type=chapter&#038;p=204"},"modified":"2022-02-28T12:21:14","modified_gmt":"2022-02-28T17:21:14","slug":"data-visualizations-and-misinformation","status":"publish","type":"chapter","link":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/chapter\/data-visualizations-and-misinformation\/","title":{"raw":"Data Visualizations and Misinformation","rendered":"Data Visualizations and Misinformation"},"content":{"raw":"We\u2019ve all probably encountered a data visualization that was confusing and difficult to understand. It probably wasn\u2019t intentional, but, rather, the consequence of poor design choices, not fully understanding the dataset, using the wrong dataset for their purposes, or just rushing and making sloppy errors.\r\n\r\nUsually misleading data visualizations fall into the realm of [pb_glossary id=\"413\"]misinformation[\/pb_glossary] rather than [pb_glossary id=\"415\"]disinformation[\/pb_glossary], but both can cause harm.\r\n\r\nBecause data visualizations can be very persuasive and invoke strong emotional reactions, it is important to go through the steps outlined earlier in the module to make sure you fully understand what it is saying before you decide to share it with someone else.\r\n<div class=\"textbox textbox--exercises\"><header class=\"textbox__header\">\r\n<p class=\"textbox__title\"><strong>Exercises<\/strong><\/p>\r\n\r\n<\/header>\r\n<div class=\"textbox__content\">\r\n\r\nTake a moment to test your ability to interpret a data visualization. In the activity below, you\u2019ll see an example of a data visualization. Following the steps outlined earlier in the module, analyze this visualization and answer the questions that follow.\r\n\r\n[h5p id=\"11\"]\r\n\r\n<\/div>\r\n<\/div>\r\n<div class=\"textbox shaded\">\r\n<h2>Reflection<\/h2>\r\nAfter analyzing this data visualization, would you feel confident sharing it with your friends and colleagues?\r\n\r\n<\/div>","rendered":"<p>We\u2019ve all probably encountered a data visualization that was confusing and difficult to understand. It probably wasn\u2019t intentional, but, rather, the consequence of poor design choices, not fully understanding the dataset, using the wrong dataset for their purposes, or just rushing and making sloppy errors.<\/p>\n<p>Usually misleading data visualizations fall into the realm of <button class=\"glossary-term\" aria-describedby=\"204-413\">misinformation<\/button> rather than <button class=\"glossary-term\" aria-describedby=\"204-415\">disinformation<\/button>, but both can cause harm.<\/p>\n<p>Because data visualizations can be very persuasive and invoke strong emotional reactions, it is important to go through the steps outlined earlier in the module to make sure you fully understand what it is saying before you decide to share it with someone else.<\/p>\n<div class=\"textbox textbox--exercises\">\n<header class=\"textbox__header\">\n<p class=\"textbox__title\"><strong>Exercises<\/strong><\/p>\n<\/header>\n<div class=\"textbox__content\">\n<p>Take a moment to test your ability to interpret a data visualization. In the activity below, you\u2019ll see an example of a data visualization. Following the steps outlined earlier in the module, analyze this visualization and answer the questions that follow.<\/p>\n<div id=\"h5p-11\">\n<div class=\"h5p-iframe-wrapper\"><iframe id=\"h5p-iframe-11\" class=\"h5p-iframe\" data-content-id=\"11\" style=\"height:1px\" src=\"about:blank\" frameBorder=\"0\" scrolling=\"no\" title=\"How trustworthy is this data visualization?-t\/f\"><\/iframe><\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"textbox shaded\">\n<h2>Reflection<\/h2>\n<p>After analyzing this data visualization, would you feel confident sharing it with your friends and colleagues?<\/p>\n<\/div>\n<div class=\"glossary\"><div class=\"glossary__tooltip\" id=\"204-413\" hidden><p>False information that is spread, regardless of intent to mislead.<\/p>\n<\/div><div class=\"glossary__tooltip\" id=\"204-415\" hidden><p>Intentionally biased or misleading information.\u00a0<\/p>\n<\/div><\/div>","protected":false},"author":388,"menu_order":10,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-204","chapter","type-chapter","status-publish","hentry"],"part":186,"_links":{"self":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/204","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/users\/388"}],"version-history":[{"count":9,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/204\/revisions"}],"predecessor-version":[{"id":770,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/204\/revisions\/770"}],"part":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/parts\/186"}],"metadata":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/204\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/media?parent=204"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapter-type?post=204"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/contributor?post=204"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/license?post=204"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}