Deciding What’s News: News-ness As an Audience Concept for the Hybrid Media Environment
Stephanie Edgerly, Emily K. Vraga
Abstract
Stephanie Edgerly, Emily K. Vraga
Abstract
A by-product of today’s hybrid media system is that genres—once uniformly defined and enforced—are now murky and contested. We develop the concept of news-ness, defined as the extent to which audiences characterize specific content as news, to capture how audiences understand and process media messages. In this article, we (a) ground the concept of news-ness within research on media genres, journalism practices, and audience studies, (b) develop a theoretical model that identifies the factors that influence news-ness and its outcomes, and (c) situate news-ness within discussions about fake news, partisan motivated reasoning, and comparative studies of media systems.
OpenAlex reports 152 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A by-product of today’s hybrid media system is that genres—once uniformly defined and enforced—are now murky and contested. We develop the concept of news-ness, defined as the extent to which audiences characterize specific content as news, to capture how audiences understand and process media messages. In this article, we (a) ground the concept of news-ness within research on media genres, journalism practices, and audience studies, (b) develop a theoretical model that identifies the factors that influence news-ness and its outcomes, and (c) situate news-ness within discussions about fake news, partisan motivated reasoning, and comparative studies of media systems.
Key concepts: Journalism, News media, News values, Media relations, Sociology, Process (computing), Advertising, Political science