YouTube algorithm is that one thing which almost every creator and majority of the viewers know about but unfortunately, it is also that one part of the platform that has been poorly understood throughout the years.
However, Cristos Goodrow, VP of engineering at Google and the head of Google's division dubbed Search and Discovery at YouTube disclosed what all the creators should know in the Artificial Intelligence Podcast with Lex Fridman. Among all the things that he was asked about, one got our attention which relates to how new creators, who despite putting up high-quality content struggle with engagement, can improve their chances of being surfaced to a wide range of audience.
In fact, Fridman became more precise and asked from Goodrow that how does YouTube really get to know that something is good? For those who still don’t know, the success of your video these days entirely depend upon Google’s decision and the right techniques to promote your video to the top. Hence, if your focus till date has been maintaining quality and you are still praying for more views, it’s time to learn more.
The Google engineer highlighted some strange information stating that their decision initially relies on what kind of video it is. If it is related to politics, news or quality journalism then the company does keep on eye on whether you have a journalism department. By that Goodrow meant if you have actual journalists, fact-checkers or professionals of that level to verify your claims.
The process of fact-checking is pretty basic and also a subset of skills that a journalist should possess. However, as the modern news revolves around opinions rather than facts, therefore people having the better opinion tends to make it big in the industry or even on YouTube as well then.
Now, one might look at Goodrow’s comment as an insult to the profession of journalism but speaking about YouTube's Search and Discovery algorithm, he elaborated how the company also views comments and recommendations.
Furthermore, Goodrow kept mentioning “authoritativeness and expertise” for journalism or scientific content, both and for a while, it felt like as if the PR department of Google had fed the words to him.
Goodrow also revealed that YouTube doesn’t favor the number of views on a video but how much time a visitor has spent watching the video. But that being said, it has been something that is done already and the results of the time people spend watching something didn’t go well with the quality of content the similar people viewed.
Moving forward, YouTube is taking feedback in the form of surveys that are attached to the machine learning process with the aim to predict what YouTubers might click on immediately as their next video. Moreover, the benefit doesn’t stop there as with the same process, the company also wants to know the kind of content you would give 4 or 5 stars to.
To put it into simple words, Google is only finding more ways to make sure how you being the YouTube audience or a creator can help them make more money through the giant video platform.
Read next: Is YouTube Alienating Creators by Supporting False Copyright Claims?
However, Cristos Goodrow, VP of engineering at Google and the head of Google's division dubbed Search and Discovery at YouTube disclosed what all the creators should know in the Artificial Intelligence Podcast with Lex Fridman. Among all the things that he was asked about, one got our attention which relates to how new creators, who despite putting up high-quality content struggle with engagement, can improve their chances of being surfaced to a wide range of audience.
In fact, Fridman became more precise and asked from Goodrow that how does YouTube really get to know that something is good? For those who still don’t know, the success of your video these days entirely depend upon Google’s decision and the right techniques to promote your video to the top. Hence, if your focus till date has been maintaining quality and you are still praying for more views, it’s time to learn more.
The Google engineer highlighted some strange information stating that their decision initially relies on what kind of video it is. If it is related to politics, news or quality journalism then the company does keep on eye on whether you have a journalism department. By that Goodrow meant if you have actual journalists, fact-checkers or professionals of that level to verify your claims.
The process of fact-checking is pretty basic and also a subset of skills that a journalist should possess. However, as the modern news revolves around opinions rather than facts, therefore people having the better opinion tends to make it big in the industry or even on YouTube as well then.
Now, one might look at Goodrow’s comment as an insult to the profession of journalism but speaking about YouTube's Search and Discovery algorithm, he elaborated how the company also views comments and recommendations.
Furthermore, Goodrow kept mentioning “authoritativeness and expertise” for journalism or scientific content, both and for a while, it felt like as if the PR department of Google had fed the words to him.
Goodrow also revealed that YouTube doesn’t favor the number of views on a video but how much time a visitor has spent watching the video. But that being said, it has been something that is done already and the results of the time people spend watching something didn’t go well with the quality of content the similar people viewed.
Moving forward, YouTube is taking feedback in the form of surveys that are attached to the machine learning process with the aim to predict what YouTubers might click on immediately as their next video. Moreover, the benefit doesn’t stop there as with the same process, the company also wants to know the kind of content you would give 4 or 5 stars to.
To put it into simple words, Google is only finding more ways to make sure how you being the YouTube audience or a creator can help them make more money through the giant video platform.
Read next: Is YouTube Alienating Creators by Supporting False Copyright Claims?
