2019/06/06 by Calum Thornhill, Quentin Meeus, Jeroen Peperkamp +1 · 55 citations
Computer Science · Psychology · Social Sciences · #Artificial intelligence #Computer science #Computer security #Fake news #Hate Speech and Cyberbullying Detection #Internet privacy #Matching (statistics) #Misinformation #Misinformation and Its Impacts #Nudge theory #Presentation (obstetrics) #Psychology #Selection (genetic algorithm) #Social media #Social psychology #Spam and Phishing Detection #The Internet #World Wide Web
paper · doi:10.3389/fdata.2019.00011
published in Frontiers in Big Data 2, 11 (Frontiers Media)
openalex publication_date 2019/06/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23
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.