Blog Post 11/20
Short Answer Quiz #3
1. Determine what kind of social media site you are creating. Then answer the following questions, explaining your decisions.
The social media site I would be creating an ethical algorithm model for is a microblogging social media platform called Vines Connected. A social media platform on which registered users who are minorities in higher education/academia, can share posts publicly on their journey through higher education. This platform will be dedicated to inspire, support and promote diversity in higher education. This site will aim towards creating a community among minorities reaching higher education through sharing of experiences in academia, sharing of tips among other fellow students and sharing of academia memes.
2. What will you measure?
I will measure the age of users as older users can provide great input and advice for the younger users who are about to begin higher education. I will also measure the field of study users belong to since there are many fields within academia and each have their own adversities. Additionally, I will measure the amount of likes and comments discussion posts are circulating to spotlight the popular post of the week that may provide useful information or just make someone laugh. Measuring the amount of likes and comments will allow users to connect and relate with one another.
3. How will you weigh these factors?
The most important factor is the comment as it allows for building a community. If there are no comments, there is no engagement. Likes would be the least important factor as it does not provide any form of communication. Likes provide the least of engagement besides acceptance and reassurance for users.
4. What factors will not be measured?
I will not measure the location/region of the users for safety reasons. I also do not think it is a necessary factor to help build a community among minorities in higher education.
5. How will the model learn or adapt to new information?
The model will learn and adapt to new information by displaying newer posts at the top of the page as the user logs into the site. Additionally, users will be able to translate posts to their preferred language.
6. What biases will be built into the model? How will this change the algorithm’s outcome?
Biases that will be built into the model will be the block and reporting feature, where users can block an individual or report a post. Additionally, other biases that will be built into the model are moderators that control what post to flag and delete that are deemed as inappropriate and offensive to users.
7. How will the model live out the (un)ethical practices we have discussed?
The model will live out unethical practices we have discussed through users discussing their experiences in these predominantly white institutions. This model will amplify the voices of minorities in higher education. This social media platform will act as a virtual homeplace for users. Additionally, users can provide resources and credible information to each other.















