For Media Technologies assignment 1, we were assigned the task of creating our own ‘media’ in small groups. This meant that we could design our own mobile application, website, hardware hack etc. that we then had to present to the class. Myself, James and Josh developed a mobile application called Libro (meaning book in Spanish). Our app that we designed is a comparison service, which enables users to search for and purchase academic books from a selection of different retailers such as Amazon, eBay, AbeBooks etc. in order to find the cheapest price. Our app also includes paid premium features including book recommendations, free delivery and access to Audiobooks.
During the development stages of creating our app, James researched into the data opportunities, Josh studied the importance of the tetrad and I looked at how apps make money and the future growth of our own application. One key feature of our app is the home page, which includes certain recommendations for users, such as specific books, authors and genres they may be interested in. These personalised recommendations are only possible with the use of algorithms paired with the user’s data. For assignment 2, I will be moving beyond our application, so in this essay I will be discussing in further detail the role of algorithms and how they shape our everyday lives.
Algorithms are everywhere in the ever-growing world of the internet and are slowly shaping the way we live. An algorithm can be best described as a systematic, self-contained set of operations to be performed or a set of rules that defines a sequence of operations. To simplify, an algorithm is “a set of guidelines that describe how to perform a task” (Brogan, 2016). We all have an individual algorithmic identity made up of certain elements such as:
- The user’s Geolocation
- Computing platform
- Profile information
- Friends/Followers
- Status updates and posts
- Links followed on the site
- Time spent on the site
- Activities on other sites
Algorithms are hidden and black-boxed – they are an invisible part of technology. They can be considered similar to computer coding, however, instead of a set of instructions continuously repeating themselves, algorithms rewrite themselves as they work. This can be a frightening thought for many people, as it makes it sound as though algorithms are alive and that they are constantly monitoring what we do.
Subsequently, they have the power to shape our online identities and are able to influence some of our personal views and decisions we make in our everyday lives. Sociologist Steven Lukes states that power comes in three varieties: the ability to stop people from doing what they want to do, the ability to compel them to do things they do not want to do and the ability to shape the way that they think (Naughton, 2012). Algorithms have the potential to do all of those things.
Algorithms are recipes for the internet and “are aimed at optimizing everything. They can save lives, make things easier and conquer chaos” (Rainie & Anderson, 2017, p. 2). There are many different debatable pros and cons to algorithms. Firstly, they manage our interactions on social networking sites, like Facebook and Twitter for example, as they highlight what they think we want to see, based on algorithmic processes. This can be considered a positive as they filter out the content that user’s generally would not be interested in. They also help us to make decisions that are more rational based on “evidence, wisdom and mathematically verified steps” (Tranberg, 2017), making our lives much easier, without us even realising. Algorithms affect even the simplest of decisions within our daily lives such as what Netflix movies we choose to watch or even what music we listen to. Algorithms can “help us connect with the unfamiliar – and the unforgotten” (Brogan, 2016).
Nonetheless, algorithms do have their disadvantages. “Most algorithms today are written to optimize efficiency and profitability without much thought about possible societal impacts” (Tranberg, 2017). Algorithms collect large quantities of our data without us realising, to provide content that suits our needs. We cannot fully understand the implications of the algorithms programmed into our everyday actions and decisions, which means we are being brainwashed by technology. This could also suggest that algorithms are killing our intelligence, as they make it almost too easy for us to make decisions, and our interests and hobbies stem from these algorithms, which ultimately destroys a sense of individuality.
Some companies use algorithms to hire employees more effectively and efficiently, and there are both pros and cons to this method of recruitment. Algorithmic hiring is the process of using a computer algorithm to access people’s applications (Hinde, 2019). The algorithm uses data collected from the individual’s CV, cover letter, online application etc. to ultimately decide whether the candidate is suitable for the job role they are applying for.
This advanced technology can provide some obvious benefits to companies. The first would be efficiency. Companies would be able to reduce the amount of time that they spend sorting through applications, and would be able to identify likely candidates a lot quicker. It would also help to improve the company as a whole in terms of increased intelligence, as an ideal profile supported by data can help companies select specific skills and experience needed for the jobs they advertise. Finally, it would allow companies to respond faster to applicants.
The first disadvantage of algorithmic hiring is that it can be time consuming to generate, and if algorithmic errors occur, companies could end up hiring the wrong people. Data accuracy is also something that companies would need to manage, as the algorithm will be based on past data. There is also potential for bias when developing an algorithm, interpreting the data and how it is analysed.
To conclude this assignment, it is evident that algorithms are a huge part of the ever-growing world of the internet and technology, and that they have both advantages and disadvantages. They are ultimately in place to make our lives easier, however they are slowly destroying the way we think for ourselves, especially with the choices we make online. The module has allowed me to understand how to develop a mobile application and what it needs to include, and why algorithms are an important part, and how they can shape our views and make decisions on our behalves.
Bibliography
Brogan, J. (2016, February 2). What’s the Deal With Algorithms? Retrieved from Slate: https://slate.com/technology/2016/02/whats-the-deal-with-algorithms.html
Hinde, G. (2019, February 15). Algorithmic Hiring: Assessing the Pros and Cons. Retrieved from IQ PARTNERS: https://www.iqpartners.com/blog/algorithmic-hiring-assessing-the-pros-and-cons/
Naughton, J. (2012, December 16). How algorithms secretly shape the way we behave. Retrieved from The Guardian: https://www.theguardian.com/technology/2012/dec/16/networker-algorithms-john-naughton
Rainie, L., & Anderson, J. (2017). Code-Dependent: Pros and Cons of the Algorithm Age. Pew Research Center , 1-86.
Tranberg, P. (2017, February 18). Experts On The Pros & Cons of Algorithms. Retrieved from DataEthics: https://dataethics.eu/prosconsai/