Literature DB >> 33693334

A Digital Nudge to Counter Confirmation Bias.

Calum Thornhill1, Quentin Meeus1, Jeroen Peperkamp1, Bettina Berendt1.   

Abstract

Fake news is increasingly an issue on social media platforms. In this work, rather than detect misinformation, we propose the use of nudges to help steer internet users into fact checking the news they read online. We discuss two types of nudging strategies, by presentation and by information. We present the tool BalancedView, a proof-of-concept that shows news stories relevant to a tweet. The method presents the user with a selection of articles from a range of reputable news sources providing alternative opinions from the whole political spectrum, with these alternative articles identified as matching the original one by a combination of natural language processing and search. The results of an initial user study of BalancedView suggest that nudging by information may change the behavior of users towards that of informed news readers.
Copyright © 2019 Thornhill, Meeus, Peperkamp and Berendt.

Entities:  

Keywords:  NLP (natural language processing); Twitter; confirmation bias; digital nudging; fake news

Year:  2019        PMID: 33693334      PMCID: PMC7931917          DOI: 10.3389/fdata.2019.00011

Source DB:  PubMed          Journal:  Front Big Data        ISSN: 2624-909X


  2 in total

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