Introduction
Google impacts many people around the world everyday and could rightfully be called the world’s most powerful company (Jack, 2017). Google’s products include online advertising, search engine technology, cloud computing, artificial intelligence, e-commerce, consumer electronics, and more (Google, 2024).
When most people search for information on the internet, Google’s search engine is usually top of mind. Behind Google’s search algorithms, however, is a darkside that is controlled by artificial intelligence such as recommender systems, priority cutes, algorithmic bias, and a PageRank system that can be blamed for societal inequities, racism, and oppression through how its content prioritization algorithms work behind the scenes (Nobel, 2018, p. 33).
Content Prioritization
Content prioritization is a way of ranking what the product designers think is important to the end user of the information so that the most important items are displayed first. Content prioritization is used in education when the teacher wants to highlight the important concepts first. In search engine content prioritization, however, the information that is presented first is usually what will generate the most clicks or the most revenue.
Content prioritization is meant to capture the end users’ attention and is found in digital or print media, like magazines, email marketing, newspapers, where the most important stories are displayed first and less important information would follow. Content prioritization can also be found in digital entertainment streaming platforms such as Spotify and Netflix.

Controlling the largest digital repository in the world
The content prioritization algorithms that companies like Google use are helpful when getting important information out, however, these same algorithms can also be responsible for perpetuating misinformation, as we saw in the Cambridge Analytica scandal (Jones, 2020). These algorithms also punish those without the resources to advertise, like Nobel (2018) exposed Kandis’ Yelp experience where her low rankings punished her business and also punished potential clients by having to travel long distances to find a hairdresser who was knowledgeable about Black hair, further oppressing an already marginalized group of people. This form of algorithmic oppression is “loaded with power” and continues to be true today as they continue to perpetuate racism, hegemonic ideals, and inequalities through these content prioritization systems (Nobel, 2018, p. 171). Nobel (2018, p. 6) describes that the internet is “the most unregulated social experiment of our times” and the importance of public policy to prevent algorithms, whether these biases are programmed intentionally or not, from further inequities.
Impact on my professional life
Content prioritization algorithms can have positive and negative impacts on my professional life. They can be useful for some tasks as it can find information faster, focusing on the most relevant information. The content prioritization systems can help highlight what is most important and reduce overwhelm by having the algorithms do it for me. These algorithms will hopefully display what is personally relevant based on my previous searches and relevant recommendations (OpenAi, 2023). The downside to these algorithms choosing the information that gets displayed to me is that I don’t know what goes on behind the algorithm from Google, an advertising company that is driven by profits. Google controls what information I see and therefore will display results that prioritize their interests above mine, leaving those people with less money, power, and resources without a voice. This is a form of oppression by prioritization of power.
PageRank
PageRank, named after its co-founder Larry Page and the term web page, is one of the algorithms used by Google Search. PageRank measures how important a web page is to display their search engine results to the user. Each web page gets a numerical weighting, that is not known to anyone other than the algorithm, based on a probability distribution algorithm that determines its importance. The higher the ranking, the more important the link is according to PageRank (PageRank, 2024).
PageRank impacts my personal life because anyone who searches my name will easily see information about me. When I search my own name on Google, there is a lot of personal information that comes up, for example my social media profiles, charities I work with, and my professional website.
One thing I did not consider was how changing my last name when I got married impacted my online searchability. When I search my maiden name, my accomplishments and information have fewer pages over the years so potential employers are not able to see publications I co-authored, my college volleyball stats, and other information under my maiden name, unless I provide these links directly. It makes it a bit more difficult to find information on me which I view as a positive and I have a bit more control over the information that is displayed about me.
Conclusion
Algorithms are increasingly shaping how we interact with products made by companies such as Google, Apple, and other tech giants. We usually do not see how the algorithms work but we do need to be aware of how they make decisions for us and increase our awareness of the biases underlying them so we can fight against them (Slavin, 2011).
References
Crawford, K. (2021). Atlas of AI. Yale University Press. (Chapter 3L Data, pp. 87-121)
Google. (2024, January 30). In Wikipedia. https://en.wikipedia.org/wiki/Google#cite_note-11
Jack, Simon. (2017, November 20). Google – powerful and responsible? BBC News. https://www.bbc.com/news/business-42060091
Jones, R. H. (2020). The rise of the Pragmatic Web: Implications for rethinking meaning and interaction. In C. Tagg & M. Evans (Eds.), Message and medium: English language practices across old and new media (pp. 17-37). De Gruyter Mouton.
Noble, S. U. (2018). Algorithms of oppression. New York University Press. (Introduction, Chapter 1, Conclusion)
OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat
PageRank. (2024, January 31). In Wikipedia. https://en.wikipedia.org/wiki/PageRank
Slavin, K. (2011). How algorithms shape our world [Video]. TEDGlobal.
Taylor, A. (2021, February 2021). Are streaming algorithms really damaging film? BBC News.