Title
Nudging Users to Slow Down the Spread of Fake News in Social Media
Abstract
The success of fake news spreading on social media is to a large extent because of normal users unknowingly parroting or sharing such content. Educational interventions such as information campaigns or revised curricula aim to raise users’ awareness and critical thinking skills. However, these are long-term efforts with an uncertain outcome. In this paper, we present ShareAware, our prototype for nudging users into a more conscious posting and sharing behavior. ShareAware uses linguistic analyses to infer the factuality of content and credibility of sources before being posted or shared. The results provide users with immediate feedback to discourage the dissemination of questionable content. We demonstrate the benefits of our approach using a series of simulations.
Year
DOI
Venue
2020
10.1109/ICMEW46912.2020.9106003
2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Keywords
DocType
ISSN
fake news,social media,user nudging
Conference
2330-7927
ISBN
Citations 
PageRank 
978-1-7281-1486-6
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Christian von der Weth133.42
Jithin Vachery200.34
Mohan S. Kankanhalli3102.61