Augmenting Media Literacy with Automatic Characterization of News along Pragmatic Dimensions

Autor:	Miriam Boon
Rok vydání:	2017
Předmět:	World Wide Web 0508 media and communications Multimedia Computer science 05 social sciences 050602 political science & public administration Computational journalism Media literacy 050801 communication & media studies Narrative computer.software_genre computer 0506 political science
Zdroj:	CSCW Companion
DOI:	10.1145/3022198.3024948
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e179effbaa32976d450eeed80383a57b https://doi.org/10.1145/3022198.3024948 Zobrazit plný text záznamu