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Social Media Filter Bubble or "Algorithmic Editing"
• These Methods work by joining a group that limits what information can be seen within a certain group. In 2016 Facebook came under criticism[1] for doing this, showing users posts that reflect with what they already believe and agree with. Speculation arose that Facebook was polarizing users for the 2016 United States presidential election, and was further developing their bias towards their preconceived beliefs.
• Most importantly found through Self-verification and self-enhancement. People are less likely to remember information that conflicts their beliefs or appears negative to what they expect.[2]
Communal Reinforcement
- Repeated assertion within a group about a belief that the group takes for truth. Often times this is done without fully researching the subject or gathering supporting evidence.[3]
Echo Chamber • The members within a group who obtain information only from within their group. While a Filter Bubble is created by algorithms online, echo chambers are created by purposely choosing who you associate with and from whom you receive your information. American psychology professor Nicholas DiFonzo found that when Republicans and Democrats were separated and asked to discuss rumors about the other party, they would polarize. However, as the groups were mixed, polarization was significantly decreased.[4]
- ^ Kartik Hosanagar (2016) "Blame the Echo Chamber on Facebook. But Blame Yourself, Too"
- ^ Story, Amber L. (1998), "Self-Esteem and Memory for Favorable and Unfavorable Personality Feedback", Personality and Social Psychology Bulletin, 24 (1): 51–64, doi:10.1177/0146167298241004, ISSN 1552-7433
- ^ The Skeptic's Dictionary: A Collection of Strange Beliefs, Amusing Deceptions, and Dangerous Delusions, p. 80, at Google Books
- ^ Nicholas DiFonzo (2011) "The Echo-Chamber Effect"