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A researcher wants to systematically study the potential problems that Eli Pariser calls the "filter bubble." To empirically examine Pariser's argument, she will need to include in her study:_______.a. measures of what people have clicked on in previous internet sessions.
b. measures of how people believe stories based on the graphics included.
c. measures of which times of day people are spending the most time online.
d. measures of whether people are filtering their own feeds with various app.

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Answer: measures of what people have clicked on in previous internet sessions.

Explanation: The 'filter bubble' is a term proposed by Eli pariser which explains how softwares and web algorithm perceives and decides the content included in the feed of an internet user or what is seen based on user information such as location, preferences or history. Usually filter bubble concept places greater emphasis on first click and what is been displayed or seen is based on the algorithms logic which probably might not be what we need to see at that instant or moment.

Generally, filter bubbles applies user information and history in making recommendation and personalizing what is seen by different users which can be really amazing.