Paper Info
Title
Augmenting Media Literacy with Automatic Characterization of News along Pragmatic Dimensions.
Abstract
Media literacy allows individuals to better interpret the information they need to absorb to contribute to our democratic, knowledge-based society. I propose that by automatically notifying readers of an article's problematic pragmatic characteristics, an application could augment their media literacy. I describe two characteristics for which I have been building automatic classifiers -- factiness and tropes as narrative frames -- and discuss the status of each project.
Year
DOI
Venue
2017
10.1145/3022198.3024948
CSCW Companion
Keywords
Field
DocType
Computational journalism, information retrieval, machine learning, natural language processing
World Wide Web,Media literacy,Computational journalism,Computer science,Narrative
Conference
Citations 
PageRank 
References 
1
0.41
4
Authors
1
Name
Order
Citations
PageRank
Miriam L. Boon110.75