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Do search algorithms reinforce oppression?

Do search algorithms reinforce oppression?

Introduction:

The Issue

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What are algorithms?

Algorithm:

April 3, 2019 - 

Algorithms are a way to sort and present data to maximize what the computer and software developer think are the most important to a specific user. ... It is important to remember that algorithms are created by people and that people hold inherent biases that can easily appear in the code they create.

How many people prefer Google over other search engines?

We conducted an online survey that gained 86 responses and found that 

?

97.6%

use Google over other search engine platforms.

Google is based on an algorithm system.  It is said that on average, there are 4,464,000,000 searches a day on Google alone, over 5x more than the second most popular engine, Bing. This gives a chance for over 4 billion cases of potential bias and prejudice (Eliason, 2016)

Introduction
Evidence of bias

Evidence of Bias:

The Proof

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People experience algorithm bias on a constant basis, whether they know it or not.

Google, for example, holds the top spot on their searches for “Sponsored Ads,” which are marked, but it is easy to miss the label.  They used to make sponsored links easily visible for the eye to see, whether that was through highlighting it a different color, placing them on a different side of the screen, or using a pop of yellow next to it to distinguish it from others.  

 

Now that they have integrated sponsored links seamlessly with search results, it benefits the company because of how easy it is for the user to mistake it with an organic search result.  With this, companies can bring their names closer to the consumers using the search engine, generating more clicks and furthering whatever agenda they hold (Marvin, 2017).

The Survey

Evidence supports this case of bias in terms of portraying oppression towards individuals who are part of a minority group.

 

We searched phrases that tend to be dominated by a specific group of individuals such as "Marriage" and "CEO" and analyzed what individuals noticed and felt from those search image results.

"Marriage"

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17.9% felt uncomfortable, sad, or upset

The Results

94% of individuals noticed the lack of diversity in these search results when it comes to race and/or sexuality.

"CEO"

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44.1% felt uncomfortable, sad, or upset

The Results

91.6% of individuals noticed the lack of diversity in these search results when it comes to race and/or gender

This issue isn't going unnoticed, but nothing is being done about it to fix the situation.

Why this matters

Why this matters:

The People

From the survey, it was found that 61.9% of individuals believed that the thought of getting biased search results especially towards minority groups never crossed their minds before.

This kind of bias in search results creates more coverage for majority groups who already hold the spotlight in so many other places, and hides minority groups from the public eye.

 

It is not an accident.

 

While it is difficult to make blanket statements like “search engines are bad because they discriminate against [insert group], it does help to know the results we see and analyze why they show up first.

 

THINK...

Is it for monetary gain? Political gain? Personal bias on behalf of the developers?

How you can be aware:

The Change

Look for your information in more than one place.  

Only pulling information from one search engine platform is the same thing as going to a library and only pulling books from a shelf that is eye level to you.  You want to pull books from shelves all around to gather the most accurate and concise information you possibly can.

 

Go to search engines you don't normally visit or smaller ones that don't get as much traffic.

This can help when it comes to getting diverse results when it comes to your searches and can also prevent you from getting stuck into a filter bubble of similar search results and opinions.  

 

Don't believe everything you read.

It is very important in today's society that's filled with biased information and fake news that we seek out information and formulate our own opinion, theories, and thoughts from a handful of sources instead of going off of one news article.

How you can be aware

Sources

Baker, P., & Potts, A. (2013). ‘Why do white people have thin lips?’ Google and the perpetuation of stereotypes via auto-complete search forms. Critical Discourse Studies, 10(2), 187–204. https://doi-org.ezproxy.gvsu.edu/10.1080/17405904.2012.744320

 

Eliason, A. (2016, December 8). 23 Search Engine Facts and Stats You Oughta Know. Retrieved from https://www.seo.com/blog/23-search-engine-facts-and-stats-you-oughta-know/

Eubanks, V. (2018). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. Public Integrity, 1-5. doi:10.1080/10999922.2018.1511671

 

Kitzie, V. L. (2017). Affordances and constraints in the online identity work of LGBTQ+ individuals. Proceedings of the Association for Information Science and Technology, 54(1), 222-231. doi:10.1002/pra2.2017.14505401025

Marvin, G. (2017, March 03). A visual history of Google ad labeling in search results. Retrieved from https://searchengineland.com/search-ad-labeling-history-google-bing-254332

Noble, S. U. (2018). Algorithms of oppression how search engines reinforce racism. New York: New York University Press

Prasad, Akshita. “Queerphobia Doesn't Vanish As We Move Down Generations.” Feminism In India, 16 May 2018, feminisminindia.com/2018/05/17/persistent-queerphobia-among-teenagers/.

Zane, Z. (2015, August 04). 6 Reasons You Need to Use the Word "Queer". Retrieved from https://www.pride.com/queer/2015/8/04/6-reasons-you-need-use-word-queer
 

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