Editing HCDS (Fall 2017)/Assignments
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The goal of this assignment is to explore the concept of 'bias' through data on Wikipedia articles - specifically, articles on political figures from a variety of countries. For this assignment, you will combine a dataset of Wikipedia articles with a dataset of country populations, and use a machine learning service called ORES to estimate the quality of each article. | The goal of this assignment is to explore the concept of 'bias' through data on Wikipedia articles - specifically, articles on political figures from a variety of countries. For this assignment, you will combine a dataset of Wikipedia articles with a dataset of country populations, and use a machine learning service called ORES to estimate the quality of each article. | ||
You are expected to perform an analysis of how the ''coverage'' of politicians on Wikipedia and the ''quality'' of articles about politicians varies between countries. Your analysis will consist of a series of | You are expected to perform an analysis of how the ''coverage'' of politicians on Wikipedia and the ''quality'' of articles about politicians varies between countries. Your analysis will consist of a series of visualizations that show: | ||
# the countries with the greatest and least coverage of politicians on Wikipedia compared to their population. Β | # the countries with the greatest and least coverage of politicians on Wikipedia compared to their population. Β | ||
# the countries with the highest and lowest proportion of high quality articles about politicians. | # the countries with the highest and lowest proportion of high quality articles about politicians. |