{"id":1522,"date":"2024-01-24T14:47:35","date_gmt":"2024-01-24T12:47:35","guid":{"rendered":"https:\/\/dialexity.com\/blog\/?p=1522"},"modified":"2024-10-15T11:14:36","modified_gmt":"2024-10-15T08:14:36","slug":"bias-detector","status":"publish","type":"post","link":"https:\/\/dialexity.com\/blog\/bias-detector\/","title":{"rendered":"Dialectical Bias Detector"},"content":{"rendered":"\n<p><a href=\"https:\/\/dialexity.com\/\">Dialexity&#8217;s<\/a> Bias Detector (<a href=\"https:\/\/chromewebstore.google.com\/detail\/dialexity\/celfebbmmkbikdgabfiiiodoinegbeif?hl=en\">downloadable here<\/a>)  assesses the extent to which text supports the positive aspects of opposing views while avoiding exaggeration. It is based on the dialectical principle that objective truth arises from the complementarity of opposing views, rather than from &#8220;material laws independent of our views.&#8221; For more on our philosophy, see below. <\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><a href=\"https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/Bias-Detector.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/Bias-Detector.png\" alt=\"\" class=\"wp-image-1544\" style=\"width:125px;height:auto\" srcset=\"https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/Bias-Detector.png 1024w, https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/Bias-Detector-300x300.png 300w, https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/Bias-Detector-150x150.png 150w, https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/Bias-Detector-768x768.png 768w, https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/Bias-Detector-765x765.png 765w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">How it Works<\/h2>\n\n\n\n<p>First, it identifies the main thesis (T), its antithesis (A), and the positive (+) and negative (-) results of each (see&nbsp;<a href=\"https:\/\/dialexity.com\/blog\/provisional-patent-application\/\">USPTO Provisional Patent Application<\/a>&nbsp;for more details). It then determines the Bias Score (BS) based on how well the user&#8217;s message supports the positive outcome, while avoiding the negative exaggerations:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>0.0 &#8211; 0.2: The text might be misleading or overly negative.<\/li>\n\n\n\n<li>0.3 &#8211; 0.4: There\u2019s some positivity, but it&#8217;s overshadowed by negative views.<\/li>\n\n\n\n<li>0.5: Neutral, suitable for factual content.<\/li>\n\n\n\n<li>0.6 &#8211; 0.7: Positivity starts to outweigh negativity.<\/li>\n\n\n\n<li>0.8 &#8211; 1.0: Highly constructive and balanced, focusing on positive outcomes.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">How To Use<\/h2>\n\n\n\n<p>After installing the plugin, select any text on the screen, right-click and select &#8216;Analyze&#8217; (from the A menu list): <\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><a href=\"https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/image-6.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"376\" src=\"https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/image-6-1024x376.png\" alt=\"\" class=\"wp-image-1580\" srcset=\"https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/image-6-1024x376.png 1024w, https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/image-6-300x110.png 300w, https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/image-6-768x282.png 768w, https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/image-6-1536x564.png 1536w, https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/image-6-1530x562.png 1530w, https:\/\/dialexity.com\/blog\/wp-content\/uploads\/2024\/01\/image-6.png 1738w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<p>This will open the plugin window (B) with pasted text that you selected. Click &#8216;Analyze&#8217; and wait for the result (C). If the result is not accurate enough, then switch to the standard (not &#8220;turbo&#8221;) GTP 4.0 (D), which often works more accurately, but also slower.<\/p>\n\n\n\n<p>Please also note that some texts may not be processed due to Openai&#8217;s content filter restrictions.<\/p>\n\n\n\n<p><strong>Disclaimer:<\/strong> All results provided by Dialexity are estimated by GPT-4.0 or GPT-4.0 Turbo and should be used for reference purposes only.<\/p>\n\n\n\n<p><a href=\"https:\/\/chromewebstore.google.com\/detail\/dialexity\/celfebbmmkbikdgabfiiiodoinegbeif?hl=en\">Download Bias Detector<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Philosophy<\/h2>\n\n\n\n<p>Our philosophy differs from conventional <a href=\"https:\/\/en.wikipedia.org\/wiki\/Bias\">definitions of biases<\/a> in that we measure &#8220;constructiveness,&#8221; that is, the ability to achieve complementarity, as opposed to &#8220;impartiality,&#8221; which can always be associated with either indifference or hypocrisy. Dialectical bias is directly related to what we consider right and wrong, constructive and destructive, while other biases are usually related to what is considered subjective and objective, partial and impartial. We argue that it is <strong>better to be &#8220;biased toward the constructive good&#8221; than &#8220;unbiased toward the destructive bad&#8221;<\/strong> &#8211; that&#8217;s why we started with assesing the &#8216;dialectical bias&#8217;. In future versions, more types of biases can be assessed:<\/p>\n\n\n\n<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/Bias\">List of Biases (wikipedia)<\/a><br><a href=\"https:\/\/en.wikipedia.org\/wiki\/List_of_cognitive_biases\">List of Cognitive Biases<\/a><br><a href=\"https:\/\/en.wikipedia.org\/wiki\/Confirmation_bias#:~:text=Confirmation%20bias%20is%20the%20tendency,one's%20prior%20beliefs%20or%20values.\">Confirmation Bias<\/a><br><a href=\"https:\/\/en.wikipedia.org\/wiki\/Ideological_bias_on_Wikipedia\">Ideological Bias<\/a><br><a href=\"https:\/\/en.wikipedia.org\/wiki\/Political_bias\">Political Bias<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>See also:<br><a href=\"https:\/\/uncover.dialexity.com\/d\/8-which-biases-are-most-dangerous\">What types of biases should we tackle first? (blogpost)<\/a><br><a href=\"https:\/\/dialexity.com\/blog\/provisional-patent-application\/\">Provisional Patent Application<\/a><br><a href=\"https:\/\/dialexity.com\/blog\/the-dialectic-crystal-ball-outline\/\">The Dialectic Lie Detector<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dialexity&#8217;s Bias Detector (downloadable here) assesses the extent to which text supports the positive aspects of opposing views while avoiding [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,9,8],"tags":[],"class_list":["post-1522","post","type-post","status-publish","format-standard","hentry","category-uncategorized","category-announcements","category-modern-dialectics"],"_links":{"self":[{"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/posts\/1522","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/comments?post=1522"}],"version-history":[{"count":58,"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/posts\/1522\/revisions"}],"predecessor-version":[{"id":1600,"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/posts\/1522\/revisions\/1600"}],"wp:attachment":[{"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/media?parent=1522"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/categories?post=1522"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dialexity.com\/blog\/wp-json\/wp\/v2\/tags?post=1522"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}