You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.

Google allows their users to control the types of advertisements they see across the web, based on gender, interests and age. But an alarming study has discovered that these settings can skew what people see to the point where discrimination against certain groups arises. During one experiment, researchers spotted that men were shown significantly more adverts for higher-paid, executive job sites than women. To test Google’s Ads Setting service, researchers led by Amit Datta from Carnegie Mellon University built a tool called AdFisher. It is an automated tool that explores how user behaviours, Google’s ads, and Ad Settings interact.Researchers edited gender and interests using Google’s Ads Setting toolThis tool controlled which adverts they were shown on selected sitesStudy found that females were shown fewer high-paid job adverts than menIn fact, the difference was substantial - 1,852 ads compared to just 318 
 Questions:_ showed adverts for a career coaching service for ‘$200k+’ executive positions 1,852 times to the male group but just 318 times to the female group. (A) Google (B) Amit Datta (C) Carnegie Mellon University (D) AdFisher (E) Ad Settings
Output:
(A)