Algorithm aversion: Difference between revisions

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==== Age ====
[[Digital natives]] are younger and have known technology their whole lives, while digital immigrants have not. Age is a commonly-cited factor hypothesized to affect whether or not people accept algorithmic recommendations. For example, one study found that trust in an algorithmic financial advisor was lower among older people compared with younger study participants.<ref>{{Cite journal|date=2020-02-01|title=Whose Algorithm Says So: The Relationships Between Type of Firm, Perceptions of Trust and Expertise, and the Acceptance of Financial Robo-Advice|url=https://www.sciencedirect.com/science/article/pii/S1094996819301112|journal=Journal of Interactive Marketing|language=en|volume=49|pages=107–124|doi=10.1016/j.intmar.2019.10.003|issn=1094-9968|hdl=1765/123799|hdl-access=free}}</ref> However, other research has found that algorithm aversion does not vary with age.<ref name=":1" /> The effect of age on response to algorithms may differ by context, and may change in the future as everyone will have known technology their whole life.
 
== Proposed methods to overcome algorithm aversion ==