By Greg Coppola | 25 July 2019
MEDIUM — I have been suspended from my job at Google for saying in an interview that I believe News and Search results have a political bias. I want to explore this question in a series of posts, using data science, with only publicly available information and tools.
We begin by replicating and extending an experiment run originally by Paula Boylard. I scraped Google News, searching for the query “donald trump”, once a minute, 5000 times. A scrape had 105 stories on average.
Power-Law Distribution Over Sites
We begin by looking at the distribution of publications (or web-sites) that make up our new Google/Trump corpus. In particular, we look at the probability that a randomly selected story comes from each given news site. […]
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