{"id":1027,"date":"2020-08-10T13:35:22","date_gmt":"2020-08-10T13:35:22","guid":{"rendered":"https:\/\/www.seoeaze.com\/blog\/?p=1027"},"modified":"2020-08-10T13:35:22","modified_gmt":"2020-08-10T13:35:22","slug":"negative-reviews-and-rankings-google-explains-the-relation","status":"publish","type":"post","link":"https:\/\/www.seoeaze.com\/blog\/negative-reviews-and-rankings-google-explains-the-relation\/","title":{"rendered":"Negative Reviews And Rankings: Google Explains The Relation"},"content":{"rendered":"<p><span data-preserver-spaces=\"true\">For a long time, businesses and bloggers have used reviews as a way to improve their website rankings, giving little regards for relevancy and users\u2019 benefit.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">It is a bad habit and you need not practice it, but we are not here for a moral lesson but to discuss how the negative reviews affect website ranking in Google. In a recent Google Webmaster Hangout, John Mueller answered whether negative reviews are harmful to a website or not.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">While you can go through the entire Hangouts session here, we have shared details underlying the discussion in this post.<\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"English Google Webmaster Central office-hours from August 4, 2020\" width=\"720\" height=\"405\" src=\"https:\/\/www.seoeaze.com\/blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/www.youtube.com\/embed\/YCXt1Z5nfpE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p><span data-preserver-spaces=\"true\">During the session the question regarding the topic that was asked is:<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u201cSo, about negative reviews not hurting, so if you have a \u201cbad\u201d reputation online and you see a lot of negative stuff about your company.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u2026Would that hurt, potentially, your Google ranking for keywords?<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u00a0\u2026Could Google look at that and say, Oh this is a bad company, we\u2019re not going to rank it as well because they have a lot of negative reviews.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">You said I don\u2019t think that would hurt overall rankings for a website if there\u2019s a bad reputation around the site.\u201d<\/span><\/p>\n<h2><strong><span data-preserver-spaces=\"true\">What the whole discussion on negative reviews and rankings is all about?\u00a0<\/span><\/strong><\/h2>\n<p><span data-preserver-spaces=\"true\">The question was asked on the backdrop of a 2010 incident that was reported in the NYTimes where an online merchant was allegedly ranking higher because of the large number of links pointing out to their sites from angry customers.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">This very article resulted in a response from Google that announced the introduction of sentiment analysis, based on the \u201cBeing Bad to Your Customers is Bad for Business\u201d approach and turned negative comments into negative votes.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">In a blog post in 2010 Google clearly stated that it will be considering negative comments as negative votes that will negatively affect website ranking.<\/span><\/p>\n<h2><strong><span data-preserver-spaces=\"true\">What Mueller said about Negative Reviews and Rankings\u00a0<\/span><\/strong><\/h2>\n<p><span data-preserver-spaces=\"true\">There was a straightforward answer from Google\u2019s John Mueller. He affirmed that if the online signals for a website are predominantly negative then it can have an adverse effect.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">He also noted that negative reviews are a normal thing for business and in small numbers, it should not have any impact on ranking.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">This is what Mueller said:<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u00a0\u201c\u2026That\u2019s something where if all of the signals point in that direction, I could imagine that we might pick that up.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">But if you\u2019re talking about\u2026 there are a handful of people that are upset and they\u2019re writing these random things online, and there are lots of people that are happy with your site, and everything is normal, then that\u2019s not something where I would really worry about.\u201d<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">It can be taken from these statements that John is trying to clarify that just random negative reviews shouldn\u2019t be bothering or must be considered as negative ranking factors.<\/span><\/p>\n<p><strong><span data-preserver-spaces=\"true\">You have to keep in mind that is perfectly normal for any business to have a few negative reviews. What is not normal are predominantly negative signals.\u00a0<\/span><\/strong><\/p>\n<p><span data-preserver-spaces=\"true\">Mueller continued:<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u00a0\u201cI think those situations where it\u2019s like there are a lot of people that are really upset about your site, those are probably pretty rare. Not something that most normal sites would run into. \u201c<\/span><\/p>\n<h2><strong><span data-preserver-spaces=\"true\">Is Google still using the 2010 Sentiment Analysis Algorithm?<\/span><\/strong><\/h2>\n<p><span data-preserver-spaces=\"true\">One of the participants asked Mueller if the 2010 Sentiment Analysis algorithm is still being used in the Google SERPs.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">To which he answered that implied that the algorithm from ten years ago might not exist in the same form as technology is constantly changing. He analogized it same with the phones we use today and how different they are from what they used to be 10 years ago.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">Here is what Mueller answered:<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u201cI don\u2019t know if that specific thing from 2010 is still around. Because things change quite a bit over time.\u201d<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">He also added:<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u201c\u2026things have changed quite a bit in ten years. So that specific thing is almost certainly not there in the same way as it was back then.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u2026we probably take something similar into account.\u201d<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">He again affirmed that for an impact there have to be the predominant amount of negative signals that indicate some form of an outlier type event.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u201cBut that is something that we would try to pick up on. If it\u2019s something where we see that everything is really bad about this site, that might be something that our algorithms try to pick up on.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">But that\u2019s something where in general, these kind of things because they\u2019re so vague sometimes, really need to be really strong.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">It really needs to be a strong signal for us to say, Okay, we really can trust\u2026 this problematic information and apply it appropriately for the site\u2019s ranking.\u201d<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">Mueller reaffirmed participants that a few bad reviews are the norm and won\u2019t have any effect negative or otherwise on a site.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u00a0\u201c\u2026a case of a normal website and there are a bunch of bad reviews out there but they\u2019re kind of embedded in the web in a normal way. And that feels like something where it\u2019s easy to get obsessed about a handful of bad reviews.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">And it\u2019s probably not something that would drastically affect the outcome in search.\u201d<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">John Mueller\u2019s concluding thought on the topic seemed to be pointing out the fact that algorithms do not apply to every situation.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">He said:<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">\u00a0\u201cI think that\u2019s always tricky with these kind of things, to\u2026 infer from in a small situation where you are in, this applies and then to take that and say, well that applies to everything.\u201d<\/span><\/p>\n<h2><strong><span data-preserver-spaces=\"true\">Extracting Sentiment From Reviews: The Challenge<br \/>\n<\/span><\/strong><\/h2>\n<p><span data-preserver-spaces=\"true\">It is not that easy to extract sentiment from online reviews as there is a lot of noise included. For better understanding think of about these factors where were listed in a Google research paper that can introduce noise into sentiment analysis.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">1. Reviewers leaving the comments can be highly biased. Some have an agenda while others are working for the competitors. While others can be acting out of a rumor.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">2. Not all sites have equal reviews. On some sites, people might have left reviews without even purchasing the product. There are some sites where professional leave reviews after professional-grade testing.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">3. How are can reviews graded for sentiment can be dealt with equally? Three stars from the reviewer might not be the same from another reviewer.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">4. How does an algorithm define an untrustworthy review? What signals can be an indication of an untrustworthy review?<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">5. Studies suggest that already existing reviews can influence the subsequent reviews, creating a polarization ultimately.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">These points are enough to understand why John Mueller and Google believe that random negative reviews can\u2019t badly affect ranking. A lot of noise in these reviews is the reason.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>For a long time, businesses and bloggers have used reviews as a way to improve their website rankings, giving little regards for relevancy and users\u2019&#8230;<\/p>\n","protected":false},"author":1,"featured_media":1030,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[14],"tags":[54,112,110,111,24],"class_list":["post-1027","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-seo","tag-google","tag-john-mueller","tag-negative-reviews","tag-ranking","tag-seo"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Negative Reviews And Rankings: Google Explains The Relation<\/title>\n<meta name=\"description\" content=\"It is not that easy to extract sentiment from online reviews as there is a lot of noise included. 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