Week 13 Short-Answer Quiz #3 Due 11/20 :)
1. Determine what kind of social media site you are creating.
The type of social media site I would like to create would be similar to Twitter because many people get their news from Twitter and use it for engagement. I recently started using Twitter at the beginning of this year. During the 2020 election, I saw many articles about voter fraud, Covid-19, proclaimed president, etc., and tweets being flagged with unreliable information. Users also claimed that their post and source of information were trustworthy and it sparked a lot of discussion and arguments which made it confusing to understand what information was actually trustworthy and reliable. I think this is important to look into and create a model for people to share articles, news, and posts about issues. Implementing algorithms can help determine what information is reliable and where these articles and news are coming from such as Wikipedia or popular news websites.
2. What will you measure?
The thing that will be measured would be the top shared articles, news, and posts because many people will look into these to get their information and form opinions. Another thing my ethical model would measure is which articles and posts are heavenly filled with inaccurate, sarcastic, and racist remarks so users can avoid getting news from those.
3. How will you weigh these factors?
The factors that will be weighed would be the number of errors such as spelling and misleading information made within the shared article or post. Furthermore, it will identify the amount of offensive words used. The top shared posts and article links would also be recorded because it will help give an overview of where users are getting their information from and what is frequently popping up on the user’s feed.
4. What factors will not be measured?
The factors that will not be measured would be “trolls” making up articles and posts just for the fun of things. These types of information being put out with ironic and sarcastic comments can be seen as harmful and the user can face punishments such as being suspended.
5. How will the model learn or adapt to new information?
The model will learn to adapt new information by checking and verifying if the content being shared and posted is not filled with false information. This can be with scanning specific misinformation and offensive words used. Unreliable information can be flagged or deleted so users can avoid it or look into it to see why it is not trustworthy. This can be very useful because users will be able to determine fake news. The model can also block posts or links of hate speech and online harassment posts in order to provide a safe platform for the users.
6. What biases will be built into the model? How will this change the algorithm’s outcome?
The biases that will be built into the model will allow users to block and make posts invisible to them (similar to Instagram and Twitter). This will change the algorithm’s outcome because the user will not be able to see that certain type of information in their feed from other users. This could potentially lead to bias because the user will only see what they want to see. Furthermore, the model can store information about current issues and events and will block or mark offensive, false, and inappropriate content that is posted. Improvements of the algorithm can still be made through updates and revisions in order to identify key information that is crucial for information being verified and checked as trustworthy.
7. How will the model live out the (un)ethical practices we have discussed?
The algorithm will help promote trustworthy information that users can access while marking, deleting, or flagging false and inappropriate information. The algorithm will also prevent any harmful views (hate speech or online harassment). Users are part of the participatory culture in which they are invited to actively participate in the creation and circulation of new content. This can be seen by sharing common ideas and sharing various information and expose others to new ideas and perspectives. Users can use the platform to propose or speak about certain issues that are happening around the world and making a change to it. However, there will always be biases or errors made by algorithms such as Instagram’s method of blocking information and claiming it to be false. The manipulation of viewing certain information can also hinder users’ knowledge about issues and concerns.











