The Anarchy of Events and the Anxiety of Story Telling
Bibliographic Data
| ID | 6333993 |
|---|---|
| Authors | M Schudson (0000-0002-0086-0743, Columbia University, corresponding author) |
| Year | 2007 |
| Volume | 24 |
| Issue | 3 |
| Pages | 253-257 |
| Publication date | 2007-08-06 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Political Communication (JOURNAL) |
| Journal identifiers | ISSN: 1058-4609 • E-ISSN: 1091-7675 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10584600701471534 |
| OpenAlex | W2028516120 |
| Language | EN |
| Citations received | 13 |
Although news is a social construction that narrates events in the world by assimilating them to existing cultural categories, there are many cultural categories from which to choose. How do journalists determine whether an event calls for a melodramatic frame or an ironic frame or some other narrative convention? Reviewing two recent studies—of news coverage of 9/11 and news coverage in the early 1990s of an accidental killing of a Japanese exchange student in New Orleans—this article argues that the character of "the events themselves" helps limit what narrative frames journalists select
Art · Character (mathematics · Convention · Event (particle physics · Frame (networking · Literature · Media studies · Narrative · Political science · Sociology · Computational and Text Analysis Methods · Computer Science · History · Law · Media Studies and Communication · Psychology · Rhetoric and Communication Studies · Social Psychology
Digital Media and the Diversification of Professionalism
The role of events in ICT adoption
Stories of Jack
Heroic Identifications
From ‘civilian power’ to ‘civilizing power’
Journalism Studies Beyond Journalism
Crafting Resonance in a Sports Media Event
The Dailies in Revolts
Journalistic Role Performance in Australia During the Covid-19 Pandemic
Journalistic Autonomy
The augmented newsbeat
Artificial Intelligence
News Analysis of the Fukushima Accident
| Unique citing works | 13 |
|---|---|
| Citations per year | 0,72 |
| Citation span | 2008 - 2024 (17) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 13 |