{"id":342,"date":"2016-04-18T20:17:33","date_gmt":"2016-04-18T20:17:33","guid":{"rendered":"https:\/\/www.scoutbuffalowebdesign.com\/blog\/?p=342"},"modified":"2016-04-18T20:26:43","modified_gmt":"2016-04-18T20:26:43","slug":"facebook-trending-algorithm","status":"publish","type":"post","link":"https:\/\/www.scoutbuffalowebdesign.com\/blog\/seo-helpful-hints\/social-media\/facebook-trending-algorithm\/","title":{"rendered":"Facebook&#8217;s Trending Algorithm"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-350 size-medium\" src=\"https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/FB-Radar-Picture-for-FB-Blog-153x300.jpg\" alt=\"Facebook's Trending Algorithm\" width=\"153\" height=\"300\" srcset=\"https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/FB-Radar-Picture-for-FB-Blog-153x300.jpg 153w, https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/FB-Radar-Picture-for-FB-Blog.jpg 489w\" sizes=\"auto, (max-width: 153px) 100vw, 153px\" \/>Ever wonder how, exactly, Facebook&#8217;s trending algorithm works: how it chooses its \u201cTrending\u201d news stories? Those of you who use Twitter and frequent its \u201cTrends\u201d section will find that the two social media giants share very few, if any, trending topics, or even methods to their \u201cTrending\u201d madness.<\/p>\n<p>Facebook\u2019s Trending algorithm is different from Twitter\u2019s. And that\u2019s okay. They both have their own strengths. Facebook\u2019s Trending topics are basically a collection of today\u2019s Internet news headlines, whereas Twitter\u2019s Trends are what is being talked about <em>right now<\/em>. Where Facebook lacks in immediate relevance, it makes up for in presentation of its Trending stories. Twitter\u2019s trends are immediately relevant, but they are just a one- or two-word link to any and all Tweets that contain that hashtag, name, or phrase.<\/p>\n<h4>Facebook&#8217;s Trending Algorithm: Something out of a Sci-Fi Novel.<\/h4>\n<p>What would be your best guess as to how Facebook&#8217;s Trending algorithm works? How does it come up with its Trending stories? An Editing Room full of Millenials on iMacs sifting through all the WaPo, Huff Post, and BuzzFeed articles on the internet? Or a similar room full of Millenials looking through all its users&#8217; posts on iMacs? It has to involve Millenials and iMacs, right?<\/p>\n<p>Wrong. Well, at least about the Millenials and the Internet articles. And the iMacs.<img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-356 size-medium\" src=\"https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/natural-language-processing-286x300.jpg\" alt=\"natural-language-processing\" width=\"286\" height=\"300\" srcset=\"https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/natural-language-processing-286x300.jpg 286w, https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/natural-language-processing.jpg 429w\" sizes=\"auto, (max-width: 286px) 100vw, 286px\" \/><\/p>\n<p>Like Twitter, Facebook uses its own algorithm to identify trending topics, albeit a much more sophisticated and impressive one. Facebook automatically analyzes every post, story, and status that its users, groups, and Pages post to the social media platform. But, without hashtags, how does Facebook figure out the topic of each post?<br \/>\nFacebook&#8217;s Trending algorithm uses a system called Natural Language Processing, a combination of \u201ccomputer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages,&#8221; according to\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Natural_language_processing\" target=\"_blank\">Wikipedia<\/a>.\u00a0Essentially, Facebook translates every post, from every user, in every language, to a computer language it understands, so that it can identify the topics and substances of all the chatter amongst its users, and compare them to current and recent events. Unlike Twitter, which more or less just posts the most-mentioned hashtags or phrases to its \u201cTrends,\u201d Facebook Trending topics must actually be tied to an event that took place, or is currently happening.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-359\" src=\"https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/hashtag-293x300.jpg\" alt=\"hashtag\" width=\"232\" height=\"238\" srcset=\"https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/hashtag-293x300.jpg 293w, https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/hashtag.jpg 439w\" sizes=\"auto, (max-width: 232px) 100vw, 232px\" \/>Why is a language algorithm necessary? With Twitter, hashtags are essentially designated catch phrases that anyone from companies, ad campaigns, events, to TV shows can use to loosely group Tweets in to that campaign\u2019s discussion. Hashtags also arise and populate in real time among user discussion. Hashtags also serve to identify the topic being discussed. Facebook does this on a grander, more complicated scale, and does the whole process in reverse. It takes all Facebook posts, catalogs all of them, uses language software to identify the topic, and sees if that topic applies to any events that are currently or recently occurring. If enough posts come out identifying a new topic, it is very likely that a current event is being talked about.<\/p>\n<h4>The Factors Involved in Choosing Your &#8220;Trending&#8221; List<\/h4>\n<p>How does a trending topic make it to your \u201cTrending\u201d list? Facebook is pretty vague about the user and topic factors it takes into consideration; Facebook says it takes into account factors such as \u201cengagement [times you\u2019ve liked or commented on a certain topic], timeliness [time relevance], Pages you&#8217;ve liked and your location. (See <a href=\"https:\/\/www.facebook.com\/help\/737806312958641?sr=30&amp;query=clear%20facebook%20chat%20history&amp;sid=0nk1UpjUWEFN7jyWN\" target=\"_blank\">&#8220;How does Facebook determine what topics are trending?&#8221;<\/a>)\u201d \u00a0So, if you like your sister\u2019s custom shoe startup Page, are you more likely to see news stories about Nike? No one really knows for sure. One of the strongest factors you can always count on, however, is location.<\/p>\n<p>So a new trending topic is being discussed and made its way into Facebook\u2019s Trending algorithm. Does it make it to your Trending section? If the event or news story is local to you, and matches your interests (if it\u2019s discussed enough, widely enough, these things seem to be less of factors), it may be identified as a \u201cTrending\u201d topic to you, the possibly interested user. The more discussed the topic and the more widely it applies, the wider the area it may apply to. If a topic is being talked about enough all over a country, it will probably be a national \u201cTrending\u201d topic.<\/p>\n<p>Facebook says you can also customize your Trending section the same you do ads and stories you are interested in: if a topic comes up that you have no interest in, hover over it and click on the \u201cx\u201d, and Facebook will \u201clearn\u201d that such topics shouldn\u2019t come up again.<\/p>\n<h4>Human-Written Descriptions, Computer-Generated &#8220;Trending&#8221; Story Feed<\/h4>\n<p><a href=\"https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/trending.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-360 alignright\" src=\"https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/trending-300x225.jpg\" alt=\"trending\" width=\"300\" height=\"225\" srcset=\"https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/trending-300x225.jpg 300w, https:\/\/www.scoutbuffalowebdesign.com\/blog\/wp-content\/uploads\/2016\/04\/trending.jpg 450w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>It is commonly speculated that people at Facebook choose Trending topics, as each obviously has a human descriptor, but Facebook assures us this is not the case. There is a team that writes a short description of a topic, and identifies the event taking place that is the trending topic (remember, each \u201cTrending\u201d topic must be tied to an event), but that is all the human interference that takes place.<\/p>\n<p>When a trending topic is clicked on, a page, not unlike a news feed, is automatically compiled with a longer description, a \u201cTop Posts\u201d section which are usually news articles, if any have yet been written, and a \u201cPublic Posts\u201d section, which is just that, posts by the average Facebook user that mention the trending topic.<\/p>\n<p><strong>Next Up: Twitter&#8217;s &#8220;Trends&#8221; algorithm, and Facebook&#8217;s &#8220;Trending&#8221; vs. Twitter&#8217;s &#8220;Trends&#8221;<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ever wonder how, exactly, Facebook&#8217;s trending algorithm works: how it chooses its \u201cTrending\u201d news stories? Those of you who use<\/p>\n","protected":false},"author":1,"featured_media":359,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_container_layout":"default_layout","colormag_page_sidebar_layout":"default_layout","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-342","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-social-media"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Facebook&#039;s Trending Algorithm - Scout Buffalo Blog<\/title>\n<meta name=\"description\" content=\"Facebook&#039;s Trending algorithm catalogs all user posts, uses Natural Language Processing to determine their topic, and ties them in with 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