{"id":21496,"date":"2024-02-13T18:47:26","date_gmt":"2024-02-13T18:47:26","guid":{"rendered":"https:\/\/afreeurl.com\/?p=21496"},"modified":"2024-02-13T18:47:31","modified_gmt":"2024-02-13T18:47:31","slug":"google-uses-ai-to-spot-fake-online-reviews-faster","status":"publish","type":"post","link":"https:\/\/afreeurl.com\/?p=21496","title":{"rendered":"Google uses AI to spot fake online reviews faster"},"content":{"rendered":"<p><\/p>\n<p>Google is harnessing new AI technology to block a rise in fake online reviews that mislead customers and hurt local businesses.<\/p>\n<p>The company stopped more than 170 million fake reviews by 2023, up 45% from the previous year.<\/p>\n<p>The crackdown provides welcome relief to local business owners who have struggled with fraudulent reviews damaging their reputation on Google Maps and Search.<\/p>\n<p>In a <a href=\"https:\/\/blog.google\/products\/maps\/how-machine-learning-keeps-contributed-content-helpful\/\" target=\"_blank\" rel=\"noopener\">blog post<\/a>, Google looks at how its algorithms now analyze patterns over time to quickly identify suspicious review activity.  This includes spotting duplicate reviews on business pages or sudden spikes in 1- and 5-star ratings.<\/p>\n<h2>A year of more honest reviews<\/h2>\n<p>By 2023, Google received approximately 20 million daily updates of local business information, including details such as business hours and customer reviews.<\/p>\n<p>To maintain data integrity amid this large volume of incoming data, Google implemented a new algorithm to quickly identify and remove misleading or deceptive information.<\/p>\n<p>Google notes that the new algorithm identified a scam in which people were paid to write fake positive reviews.  Upon detection, Google could take steps to shut it down.  This prevented the spread of misleading reviews.<\/p>\n<p>In addition, Google reported that it had removed or blocked the following:<\/p>\n<p>Over 170 million reviews in violation of policy, 14 million increase in video detections in violation of policy Over 2 million fraudulent business profile claim attempts thwarted due to enhanced security protocols.<\/p>\n<h2>Key benefits for local businesses<\/h2>\n<p>Google reports that its new fake review detection algorithm can help local businesses in the following ways:<\/p>\n<p><strong>Faster detection:<\/strong> The new machine learning system detects suspicious review patterns faster than previous methods, which can help protect businesses from harm from fraudulent reviews.<br \/>\n<strong>Increased accuracy:<\/strong> The accuracy of identifying fake reviews has improved by 45% compared to 2022, which can give businesses more confidence that their online ratings primarily reflect real customer experiences.<br \/>\n<strong>Fraud Protection:<\/strong> The algorithm identifies individual fake reviews and broader coordinated efforts to post scam reviews, providing businesses with enhanced protection from organized fake review campaigns.<\/p>\n<h2>Takeout for local vendors and business owners<\/h2>\n<p>Google says its continued effort to tackle fake content will benefit users and protect local businesses by better securing their online reputation.<\/p>\n<p>The upgrade could result in a more level playing field, with reputation becoming a more accurate reflection of service quality and genuine customer satisfaction.<\/p>\n<p>For businesses, the message is to focus on delivering exceptional products and services, while Google works to ensure online reputation matches real-world performance.<\/p>\n<p>Featured Image: Screenshot from blog.google\/products\/maps\/how-machine-learning-keeps-contributed-content-helpful\/, February 2024. <\/p>\n<h2 class=\"sej-sfaq-title\">Frequently asked questions<\/h2>\n<h3 itemprop=\"name\" class=\"ignore-dom\">How has the new algorithm changed the efficiency of Google&#8217;s review moderation process?<\/h3>\n<p>The new algorithm has significantly improved the efficiency of Google&#8217;s moderation process:<\/p>\n<p><strong>Pattern recognition:<\/strong> By analyzing review patterns over time, the algorithm can quickly identify anomalous activity such as duplicate content and unusual rating fluctuations.<br \/>\n<strong>Volume Management:<\/strong> Google&#8217;s ability to handle approximately 20 million daily updates of local business information demonstrates the algorithm&#8217;s ability to handle large volumes of data while maintaining accuracy.<br \/>\n<strong>Stop Scams:<\/strong> Google&#8217;s proactive measures have shut down schemes in which individuals were compensated for writing fake reviews, protecting the integrity of business ratings.<\/p>\n<h3 itemprop=\"name\" class=\"ignore-dom\">What practical steps can I take as a marketer in light of Google&#8217;s new review detection capabilities?<\/h3>\n<p>With Google&#8217;s enhanced fake review detection capabilities, marketers should consider the following:<\/p>\n<p><strong>Focus on authenticity:<\/strong> Encourage genuine customer feedback rather than using artificial means to boost ratings.<br \/>\n<strong>Monitor Reviews:<\/strong> Regularly evaluate your company&#8217;s reviews on Google for abnormal patterns and report suspicious activity.<br \/>\n<strong>Interact with customers:<\/strong> Respond to positive and negative reviews to demonstrate active engagement and concern for the customer experience.<\/p>\n<p>[ad_2]<br \/>\n<br \/><a href=\"https:\/\/www.searchenginejournal.com\/google-uses-ai-to-detect-fake-online-reviews-faster\/508093\/\" target=\"_blank\" rel=\"noopener\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google is harnessing new AI technology to block a rise in fake online reviews that mislead customers and hurt local businesses. The company stopped more than 170 million fake reviews by 2023, up 45% from the previous year. The crackdown provides welcome relief to local business owners who have struggled with fraudulent reviews damaging their reputation on Google Maps and Search. In a blog post, Google looks at how its algorithms now analyze patterns over&#8230; <\/p>\n","protected":false},"author":1,"featured_media":21497,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-21496","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-seo-news"],"_links":{"self":[{"href":"https:\/\/afreeurl.com\/index.php?rest_route=\/wp\/v2\/posts\/21496","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/afreeurl.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/afreeurl.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/afreeurl.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/afreeurl.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=21496"}],"version-history":[{"count":1,"href":"https:\/\/afreeurl.com\/index.php?rest_route=\/wp\/v2\/posts\/21496\/revisions"}],"predecessor-version":[{"id":21498,"href":"https:\/\/afreeurl.com\/index.php?rest_route=\/wp\/v2\/posts\/21496\/revisions\/21498"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/afreeurl.com\/index.php?rest_route=\/wp\/v2\/media\/21497"}],"wp:attachment":[{"href":"https:\/\/afreeurl.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21496"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/afreeurl.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21496"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/afreeurl.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}