Readings AI Ethics and Society Homework Project 1 Intro Chapter 1 Weapons of Math Destruction What is a Model M Kosinski D Stillwell T Graepel Private traits and attributes are predictable from digital records of human behavior Proceedings of the National Academy of Sciences Apr 2013 110 15 5802 5805 DOI 10 1073 pnas 1218772110 http www pnas org content 110 15 5802 In this basic assignment you ll begin the process of discovering how data from a user s social media profile is used by various organizations You ll accomplish this task by examining your own data profile on social media You are allowed to use any social media platform for this assignment but you must be able to extract similar data Steps 1 7 that companies can use to target you Facebook is provided as an example in the steps below but you can choose any other social media platform as long as you can complete the steps Step 1 Research how to download a copy of your personal data from your selected social media o For Facebook Information on how to download a copy of your data can be found at https www facebook com help 1701730696756992 Step 2 Download the stored data associated with your social media profile that can be used to target you For the purpose of this assignment targeted information is defined as any data that is collected and can be used to profile you Targeted information can include for example data you ve provided or is inferred by the social network like your interests or list of advertisers that may have already expressed interest in you typically based on third party data brokers your profiled interests or your browsing history platform o For Facebook This information is found in the categories listed below on Facebook s Download Your Information page two formats are available html and json 1 Ads Information The downloaded data includes the files advertisers you ve interacted with html ads that you have interacted with and advertisers using your activity or information html advertisers that are using your information 2 Other Logged Information The downloaded data includes the files ads interests html keywords used to target you Step 3 Based on the data associated with your targeted information categorize the data into no less than 5 categories and no more than 10 categories o For Facebook I ve selected the targeted advertiser list advertisers who uploaded a contact list with your information html as an illustrative example in the next set of steps Step 4 Create a data flow graph e g using http sankeymatic com build that associates your categories with three types of data buckets Relevant Not Relevant Way Off Feel free to be creative in the naming and interpretation of your buckets but you will need to define all three data buckets Step 5 Compute basic statistical measures on the data per each data bucket Count Accuracy Relevant and Rubbish Way Off Identify which category was the most accurate and which was the least Step 6 Identify which data items could be associated with a regulated domain in law as defined in the lectures Credit Education Employment Housing and Public Accommodation For each of these regulated domains list how many fall within each and provide a sample of the associated data items Step 7 Turn in a report documenting your findings including social media platform number of data items number of categories name of categories data buckets identified script code to create data flow graphic data flow graphic statistical measures regulated domain data item list The report should be submitted in JDF format Reports that are not neat and well organized will receive up to a 10 point deduction The file name for submission is GTuserName Assignment 1 for example Joyner03 Assignment 1 Below is an example report not in JDF format associated with my advertiser data for reference Prof Ayanna Howard Social Media Platform Facebook Number of Advertisers 1700 Categories Identified 5 Car Companies e g International Autos Mercedes Benz Social Impact e g The National Association for the Education of Young Children Shopping e g Tiffany Co Interest Groups e g AARP Entertainment e g Applebee s Grill Bar Data Buckets Yes No U Got To Be Kidding My script on sankeymatic com FB Advertisers 680 Car Companies FB Advertisers 340 Social Impact FB Advertisers 170 Shopping FB Advertisers 340 Interest Groups FB Advertisers 170 Entertainment Car Companies 85 Yes Car Companies 595 No Social Impact 340 Yes Shopping 84 No Shopping 86 U Got to be Kidding Interest Groups 170 Yes Interest Groups 170 No Entertainment 85 Yes Entertainment 85 No My data flow graphic Table Summary Statistics Note Partial Example for One Category Category Shopping Data Bucket Count Accuracy Rubbish U Got to be Kidding No Yes Total Count 86 84 0 170 0 51 My most accurate category Social Impact My least accurate category i e rubbish Shopping Table Regulated Domain Information Regulated Domain Credit Education Employment Housing Number of Items Advertiser Sample 230 100 0 2 Alliant Credit Union Anchor Capital Baylor College of Medicine Daniels College of Business Georgia State University Ashton Woods Homes Echo Fine Properties