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A Digital Nudge to Counter Confirmation Bias
Calum Thornhill1, Quentin Meeus1, Jeroen Peperkamp1
1Department of Computer Science, KU Leuven, Leuven, Belgium.
Frontiers in Big Data
|March 11, 2021
Summary
This study introduces nudges to encourage online news fact-checking, rather than detecting fake news. An initial study suggests information-based nudges can foster informed news reading behaviors among users.
Area of Science:
- Social Computing
- Human-Computer Interaction
- Information Science
Background:
- Fake news and misinformation are significant challenges on social media platforms.
- Existing approaches often focus on misinformation detection rather than user behavior modification.
Purpose of the Study:
- To propose and evaluate nudging strategies to encourage users to fact-check online news.
- To introduce BalancedView, a tool demonstrating nudging by information.
Main Methods:
- Discussed two nudging strategies: by presentation and by information.
- Developed BalancedView, a proof-of-concept tool using natural language processing and search to find relevant, diverse news articles.
- Conducted an initial user study to assess the impact of nudging.
Main Results:
- BalancedView successfully presented users with alternative news perspectives.
- Results indicate that nudging by information may effectively shift user behavior towards more informed news consumption.
Conclusions:
- Nudging strategies, particularly by information, show promise in promoting critical evaluation of online news.
- The BalancedView tool provides a practical demonstration of how to implement such nudging interventions.
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