Facebook is concentrating more on the user convenience and planning to reduce the Clickbait in the news feed. Facebook is looking forward and trying to prevent the links and headlines which are asking the users and readers “guess what happened next” when the readers visit the respective pages, they don’t find any useful information, It is all about tempting users to click if they want to find out anything.
Facebook is the largest social media company in the world, earlier in the year 2014, the company has tried and announced that they are improving the users news feeds to help them in finding which was “Interesting and relevant” and sort out the “spam” stories. But the things did now looks like, didn’t went as well as it should have to be.
Alex Peysakhovich, The Research Scientist and Kristin Hendrix, User Experience Researcher said on Thursday that “Facebook is currently using the system which can be able to identify the phrases which are commonly used in the “clickbait” headlines. For example, things will be like, these range from “and his reaction was priceless!” to “What happens next is hard to believe.”
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These all items will be considered as “clickbait” if the given information exaggerates or misleading. Consider another example Facebook makes the headline that “Apples are actually bad for you” which is misleading because apples are bad for you only if you eat too many each day.
So now Facebook built a system which determines about the phrases that are commonly used in the clickbait headlines, and those are not used in the other headlines.
Alex Peysakhovich wrote in the blog post that “This is similar to how many email spam filters work.”
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The links of the websites and Facebook pages which are frequently posting clickbait will be visible at the end of the users news feed, so those are likely to be seen less. If the website stops posting such headlines, Facebook’s algorithm will learn this and makes the links appear in the higher.
Is this new algorithm by Facebook going to work well? Or some spammers might continue to use the spam filters and getting around the Facebook’s anti-clickbait formulas.
