[SOLVED] CS8803 Module 1

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  • Intro & Chapter 1: Weapons of Math Destruction (What is a Model?)
  • Kosinski, D. Stillwell, T. Graepel, Digital records of behavior expose personal traits,

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, youll begin the process of discovering how data from a users social media profile is used by various organizations. Youll accomplish this task by examining your own data profile on social media. We will focus on Facebook for this assignment (see the note below if youd like to choose another social media platform).

  • Step 1: Information on how to download a coy of your data can be found at:

https://www.facebook.com/help/1701730696756992

  • Step 2: Download your data associated with the Select Ads category (two formats are available:

html and json).

  • Step 3: Based on the data file html, categorize advertisers into (no less than) 5 categories and (no more than) 10 categories.
  • Step 4: Create a data flow graph (using http://sankeymatic.com/build/) that associates your advertiser categories with three types of data buckets: Relevant, Not Relevant, Way Off. Feel free to be creative in the naming of your buckets.
  • Step 5: Compute basic statistical measures on the data (per category): count, mean, accuracy (= %Relevant), and rubbish (%Way Off). Identify which category was the most accurate and which was the least.
  • Step 6: Identify which advertisers are associated with a regulated domain in law (i.e. Credit,

Education, Employment, Housing and Public Accommodation). For each regulated domain, list how many fall within and the associated advertiser.

  • Step 7: Turn in a report documenting your findings, including number of advertisers, categories identified, script (if using sankeymatic) and data flow graphic, statistical measures, regulated domain/advertiser list. As an example, heres the report associated with my data:

Number of Advertisers: 1700

Categories Identified (5):

Car Companies (e.g. International Autos Mercedes Benz)

Table: Summary Statistics Count (Partial Example for One Category)

Variable Ordinal Categories Count Mean Accuracy Rubbish Meter
Shopping -1. U Got to be Kidding 85
0. No 85
1. Yes 0
Total 170 -0.5 0% 50%

My most accurate category: Social ImpactMy least accurate category (i.e. rubbish): ShoppingAdvertisers and Associated Regulated Domains in Law:Credit (2):Alliant Credit UnionAnchor Capital Education (3):Baylor College of MedicineDaniels College of BusinessGeorgia State UniversityEmployment (0)Housing (2):Ashton Woods HomesEcho Fine Properties

Note: If choose to use another social media platform, you are allowed to do so for this assignment, but you must deliver similar information to the advertiser list provided by Facebook.

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[SOLVED] CS8803 Module 1
$25