Google's Helpful Content Algorithm is a significant update designed by Google to prioritise content available on the World Wide Web that genuinely benefits users. It's a sitewide signal, meaning that if Google determines a website has a high amount of unhelpful content, it can negatively impact the rankings of all pages on that particular site. For example, a website with many thin articles, or articles that are too short or too general that are filled with fluff and repetitive information might see a drop in its search engine rankings, even for its better-quality pages.
We do not have to work with Google to conceptually understand how algorithms work. Google utilises a complex machine-learning model to assess content quality. While the exact details are proprietary to the search engine giant, it's understood that the algorithm analyses various factors. For instance, if an article about marketing strategy is written by a marketing strategist with years of experience and cites reputable marketing journals or credible sources, it will likely be considered more authoritative than an article written by someone with no marketing background. Similarly, if users spend a lot of time on a page and share it on social media, it indicates that they find it valuable and engaging . . .
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