{"id":427833,"date":"2022-04-07T03:00:01","date_gmt":"2022-04-07T00:00:01","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/bot-can-spot-depressed-twitter-users-in-9-out-of-10-cases\/"},"modified":"2022-04-07T03:00:01","modified_gmt":"2022-04-07T00:00:01","slug":"bot-can-spot-depressed-twitter-users-in-9-out-of-10-cases","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/bot-can-spot-depressed-twitter-users-in-9-out-of-10-cases\/","title":{"rendered":"#Bot can spot depressed Twitter users in 9 out of 10 cases"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a3c522b5efca\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a3c522b5efca\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/bot-can-spot-depressed-twitter-users-in-9-out-of-10-cases\/#%E2%80%9CBot_can_spot_depressed_Twitter_users_in_9_out_of_10_cases%E2%80%9D\" >&#8220;Bot can spot depressed Twitter users in 9 out of 10 cases&#8221;<\/a><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"%E2%80%9CBot_can_spot_depressed_Twitter_users_in_9_out_of_10_cases%E2%80%9D\"><\/span>&#8220;Bot can spot depressed Twitter users in 9 out of 10 cases&#8221;<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<div>\n<div class=\"article-gallery lightGallery\">\n<div data-thumb=\"https:\/\/scx1.b-cdn.net\/csz\/news\/tmb\/2022\/sad-emoji.jpg\" data-src=\"https:\/\/scx2.b-cdn.net\/gfx\/news\/hires\/2022\/sad-emoji.jpg\" data-sub-html=\"Credit: Pixabay\/CC0 Public Domain\">\n<figure class=\"article-img\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/scx1.b-cdn.net\/csz\/news\/800a\/2022\/sad-emoji.jpg\" alt=\"sad emoji\" title=\"Credit: Pixabay\/CC0 Public Domain\" width=\"800\" height=\"530\"\/><figcaption class=\"text-darken text-low-up text-truncate-js text-truncate mt-3\">\n                Credit: Pixabay\/CC0 Public Domain<br \/>\n            <\/figcaption><\/figure>\n<\/p><\/div>\n<\/div>\n<p>A newly developed algorithm can spot depression in <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/social-mediaa\/\" data-internallinksmanager029f6b8e52c=\"1\" title=\"Social Media\" target=\"_blank\" rel=\"noopener\">Twitter<\/a> users with 88.39% accuracy. Developed by researchers at Brunel University London and the University of Leicester, the algorithm determines someone&#8217;s mental state by extracting and analyzing 38 data points from their public Twitter profile, including the content of their posts, their posting times, and the other users in their social circle.<\/p>\n<p>                                                                                The research team say similar systems could have a range of different uses in the future across multiple platforms, such as early depression diagnosis, employment screening or police investigations. <\/p>\n<p>&#8220;We tested the algorithm on two large databases and benchmarked our results against other depression detection techniques,&#8221; said Prof Abdul Sadka, Director of Brunel&#8217;s Institute of Digital Futures. &#8220;In all cases, we&#8217;ve managed to outperform existing techniques in terms of their classification accuracy.&#8221; <\/p>\n<p>The algorithm was trained using two databases that contain the Twitter history of thousands of users, alongside additional information about those users&#8217; mental health. Eighty percent of the information in each database was used to teach the bot, with the other 20% then used to test its accuracy. <\/p>\n<p>The bot works by first excluding all users with fewer than five tweets and running the remaining profiles through natural language software to correct for misspellings and abbreviations. <\/p>\n<p>It then considers 38 distinct factors\u2014such as a user&#8217;s use of positive and negative words, the number of friends and followers they have, and their use of emojis\u2014and makes a determination on that user&#8217;s mental and emotional state. <\/p>\n<p>Using the Tsinghua Twitter Depression Dataset, the team managed an accuracy of 88.39%, while an accuracy of 70.69% was achieved using John Hopkins University&#8217;s CLPsych 2015 dataset. <\/p>\n<p>&#8220;Anything that&#8217;s above 90% is considered excellent in machine learning. So, 88% for one of the two databases is fantastic,&#8221; said Prof Sadka. <\/p>\n<p>&#8220;It&#8217;s not 100% accurate, but I don&#8217;t think at this level any machine learning solution can achieve 100% reliability. However, the closer you get to the 90% figure, the better.&#8221; <\/p>\n<p>The team say that such a system could potentially flag a user&#8217;s depression before they post something into the public domain, paving the way for platforms such as Twitter and Facebook to proactively flag mental health concerns with users. <\/p>\n<p>However, the bot can also be used after a post has made it into the public domain, potentially allowing employers and other businesses to assess a user&#8217;s mental state based on their social media posts. It could be used for a number of reasons, the researchers say, including for use in sentiment analysis, criminal investigations or employment screening, <\/p>\n<p>&#8220;The proposed algorithm is platform independent, so can also be easily extended to other social media systems such as Facebook or Whats<a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">App<\/a>,&#8221; said Prof Huiyu Zhou, Professor of Machine Learning at the University of Leicester. <\/p>\n<p>&#8220;The next stage of this research will be to examine its validity in different environments or backgrounds, and more importantly, the <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/technology\/\" data-internallinksmanager029f6b8e52c=\"4\" title=\"Technology\" target=\"_blank\" rel=\"noopener\">technology<\/a> raised from this investigation may be further developed to other applications, such as e-commerce, recruitment examination or candidacy screening.&#8221; <\/p>\n<p>The research, &#8220;Cost-sensitive Boosting Pruning Trees for depression detection on Twitter,&#8221; was published in <i>IEEE Transactions on Affective Computing<\/i>.\n                                                                                                                        <\/p>\n<hr\/>\n<div class=\"article-main__explore my-4 d-print-none\">\n<p>                                            <a rel=\"nofollow noopener\" target=\"_blank\" class=\"text-medium text-info mt-2 d-inline-block\" href=\"https:\/\/phys.org\/news\/2021-07-covid-related-xenophobia.html\">COVID-19-related xenophobia<\/a>\n                                        <\/div>\n<hr class=\"mb-4\"\/>\n<div class=\"article-main__more p-4\">\n                                                                                                <strong>More information:<\/strong><br \/>\n                                                Lei Tong et al, Cost-sensitive Boosting Pruning Trees for depression detection on Twitter, <i>IEEE Transactions on Affective Computing<\/i> (2022).  <a rel=\"nofollow noopener\" target=\"_blank\" data-doi=\"1\" href=\"https:\/\/dx.doi.org\/10.1109\/TAFFC.2022.3145634\">DOI: 10.1109\/TAFFC.2022.3145634<\/a>. <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9691852\">ieeexplore.ieee.org\/document\/9691852<\/a><\/p><\/div>\n<div class=\"d-inline-block text-medium my-4\">\n                                                Provided by<br \/>\n                                                                                                    Brunel University<br \/>\n                                                                                                        <a rel=\"nofollow noopener\" target=\"_blank\" class=\"icon_open\" href=\"http:\/\/www.brunel.ac.uk\/\"><br \/>\n                                                        <svg>\n                                                            <use href=\"https:\/\/techx.b-cdn.net\/tmpl\/v2\/img\/svg\/sprite.svg#icon_open\" x=\"0\" y=\"0\"\/>\n                                                        <\/svg><br \/>\n                                                    <\/a><\/p><\/div>\n<p>                                        <!-- print only --><\/p>\n<div class=\"d-none d-print-block\">\n<p>                                                 <strong>Citation<\/strong>:<br \/>\n                                                 Bot can spot depressed Twitter users in 9 out of 10 cases (2022, April  6)<br \/>\n                                                 retrieved  7 April 2022<br \/>\n                                                 from https:\/\/techxplore.com\/<a href=\"https:\/\/buradabiliyorum.com\/en\/category\/news\/\" data-internallinksmanager029f6b8e52c=\"2\" title=\"News\" target=\"_blank\" rel=\"noopener\">news<\/a>\/2022-04-bot-depressed-twitter-users-cases.html<\/p>\n<p>                                            This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no<br \/>\n                                            part may be reproduced without the written permission. The content is provided for information purposes only.<\/p><\/div>\n<\/p><\/div>\n<p><script id=\"facebook-jssdk\" async=\"\" src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js\"><\/script><\/p>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMLG0nwswvr63Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\">For forums sites go to <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/forum.buradabiliyorum.com\/\" target=\"_blank\" rel=\"noopener\">Forum.BuradaBiliyorum.Com<\/a><\/span><\/strong>\n<\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more Like this articles, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/en.buradabiliyorum.com\/science\/\" target=\"_blank\" rel=\"noopener\">Science category.<\/a><\/span><\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/techxplore.com\/news\/2022-04-bot-depressed-twitter-users-cases.html\" target=\"_blank\" rel=\"noopener\">Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;Bot can spot depressed Twitter users in 9 out of 10 cases&#8221; Credit: Pixabay\/CC0 Public Domain A newly developed algorithm can spot depression in Twitter users with 88.39% accuracy. Developed by researchers at Brunel University London and the University of Leicester, the algorithm determines someone&#8217;s mental state by extracting and analyzing 38 data points from&#8230;<\/p>\n","protected":false},"author":1,"featured_media":427834,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/scx2.b-cdn.net\/gfx\/news\/hires\/2022\/sad-emoji.jpg","fifu_image_alt":"","footnotes":""},"categories":[16],"tags":[],"class_list":["post-427833","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sciencee"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/427833","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=427833"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/427833\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/427834"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=427833"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=427833"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=427833"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}