Moira Burke

From Wikipedia, the free encyclopedia

Moira Burke is an American computer scientist working in the field of human-computer interaction. She currently works as a data scientist for Facebook.[1]

Education[edit]

Burke received her bachelor's degree from the University of Oregon in 2001 and her PhD from Carnegie Mellon University in 2011 under the supervision of Robert E. Kraut.[2]

Research[edit]

While at Carnegie Mellon, Burke published a study which found that talking to close friends on Facebook was associated with improved well-being.[3] In 2013, Burke and Kraut published a study which found that Facebook users who contacted close friends about job opportunities were more likely to find employment than were those who contacted acquaintances.[4] In 2014, Burke and Kraut published a study which found that interaction with other users on Facebook increases closeness, regardless of how much effort this interaction takes.[1] In 2020, Burke with two other Facebook researchers published a study examining how use of social media contributed to social comparison bias. The study found that teens experienced more social comparison than adults.[5]

References[edit]

  1. ^ a b Koyfman, Steph (17 July 2014). "The Upvote Friendship". Slate.
  2. ^ "Moira Burke". Carnegie Mellon University. Retrieved 15 February 2015.
  3. ^ Neighmond, Patti (9 January 2014). "Many Younger Facebook Users 'Unfriend' The Network". NPR.
  4. ^ Lafferty, Justin (14 March 2013). "Study: How Do Facebook Friends Affect The Job Hunt?". Adweek.
  5. ^ "Facebook Publishes Study on the Mental Health Impact of Social Comparison". Search Engine Journal. 2020-04-27.