Dissertation
RISE UP EYES UP WISE UP: EXPLORING TECHNIQUES TO DEBIAS DECISION MAKING AND RESIST FAKE NEWS
Doctor of Philosophy (PhD), Washington State University
01/2020
Handle:
https://hdl.handle.net/2376/118440
Abstract
A popular general model of decision making, dual process models, theorizes that decision making biases arise from an imbalance between a two-track system, where one track is rational and analytic, and the other is illogical and intuitive. However, recent work supports the notion of a three-pronged model of decision making with two paths to illogical/intuitive decisions and one path to rational/analytic decisions. Within this new three-pronged model, it is unclear how people might improve, or debias, their decision making. The goals of this dissertation were to 1) replicate past findings regarding a specific kind of bias, base rate biases, and the three-pronged model of decision making 2) examine how debiasing might occur and 3) extend the model to incorporate a more real-world model of decision making biases, fake news headlines. Findings from Study 1 replicated past findings on base-rate neglect and showed that providing participants with feedback on their decisions can help reduce bias. This debiasing finding was not present in Study 2, which involved more complex decision making problems involving fake news headlines. These findings suggest that debiasing techniques are not one-size-fits-all and the decision making context should be considered.
Metrics
58 File views/ downloads
27 Record Views
Details
- Title
- RISE UP EYES UP WISE UP: EXPLORING TECHNIQUES TO DEBIAS DECISION MAKING AND RESIST FAKE NEWS
- Creators
- Amy Therese Nusbaum
- Contributors
- Paul Whitney (Advisor)John Hinson (Advisor)Carrie Cuttler (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- Psychology, Department of
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Number of pages
- 62
- Identifiers
- 99900581613501842
- Language
- English
- Resource Type
- Dissertation