Technology Question & Answer Chaper 2 and chapter 3 disscuss book “everybody lies”
answer each question in 1 paragraph.
1.According to the author, Big Data allows us to zoom in on small subsets of people. Propose a study using Big Data that would zoom in on a small subset of people. What would you expect to learn if you conducted this study?
2.In social science, we have to be careful not to mistake correlations for causes. The author thinks that Big Data can help with this. Do you agree with him? Why or why not?
3.Google found a better type of data, which enabled them to dominate the search engine industry. What was wrong with the type of data that the other search engines were using at the time? Why didn’t this type of data produce result equivalent to Google’s?
4.A table appears in this chapter that includes two columns: Phrases Used Far More by Democrats and Phrases Used Far More by Republicans. Take two pairs of terms from this table ( E.g., “Poor people” and “Government spending” would be a possible pair) and use Google Ngram Viewer (https://books.google.com/ngrams) (Links to an external site.)Links to an external site. to graph the two terms for the time period from 1915 to 2015. Can you tell which party was most influential at what time? When were the Democrats strong? How about the Republicans?
5.The table you used above was created from the Congressional Record for 2005. The Google Ngrams Viewer uses a library of digitized books published in English as its source. Apart from looking at a longer span of time, what differences in these two data sources would you need to consider in interpreting the results?
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