What is implicit bias?

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With this new feature, Google is trying to adapt to the cookieless world and provide more data for marketers to understand the effectiveness of advertising campaigns with or without their cookies.

It is advisable to bring transparency and more data to the table, to give credibility to your ads as a marketing channel.

The best marketers are creating media companies instead of marketing teams with the clear goal of creating their own channels. The best recipe for success is to declare your independence from third-party cookies.

We love Google. And as a marketing professional and tech expert, I can't live without asking Google everything that comes to mind. I know, the Internet isn't always the best source of information, but it's so fast and easy that it's inevitable not to use it.

The problem is when we get too comfortable with the uae consumer mobile number list single information in our SERP without double-checking the information. We read what an algorithm thinks is useful for us. As a result, we are more likely to fall prey to implicit biases, half-truths, or misinformation.

Does Google and its SERP lead to more bias? In this article, we will look at how this algorithm, when not used correctly, can reinforce our unconscious bias (and what our responsibility is, as marketers, SEO professionals and content producers).

According to perception.org, implicit bias describes attitudes towards people or associates stereotypes without us being fully aware of it. Some examples are associating crime with a certain social sector or weakness with femininity, without realizing it.

These biases can be positive or negative and can come from any type of person.

However, people are more than stereotypes and, many times, the algorithm does not reflect the nuances of the human being.

It is important to note that gender is not the only thing that can trigger unconscious bias. Others may include:

And yes, we can see how stereotypes are affecting marketing efforts, even today. Let’s dive into that.