Agenda divergence in a developing conflict
Quantitative evidence from Ukrainian and Russian TV newsfeeds
Datos Bibliográficos
| ID | 12904809 |
|---|---|
| Autores | Olessia Koltsova (0000-0002-2669-3154, National Research University Higher School of Economics, autor de correspondencia), Sergei Pashakhin (0000-0003-0361-2064, National Research University Higher School of Economics) |
| Año | 2019 |
| Volumen | 13 |
| Número | 3 |
| Páginas | 237-257 |
| Fecha de publicación | 2019-02-21 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Media War & Conflict (JOURNAL) |
| Identificadores de la revista | ISSN: 1750-6352 • E-ISSN: 1750-6360 |
| Editorial | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/1750635219829876 |
| OpenAlex | W2780548801 |
| Idioma | EN |
| Citas recibidas | 16 |
| Referencias citadas | 51 |
Although conflict representation in media has been widely studied, few attempts have been made to perform large-scale comparisons of agendas in the media of conflicting parties, especially for armed country-level confrontations. In this article, the authors introduce quantitative evidence of agenda divergence between the media of conflicting parties in the course of the Ukrainian crisis 2013–2014. Using 45,000 messages from the online newsfeeds of a Russian and a Ukrainian TV channel, they perform topic modelling coupled with qualitative analysis to reveal crisis-related topics, assess their salience and map evolution of attention of both channels to each of those topics. They find that the two channels produce fundamentally different agenda sequences. Based on the Ukrainian case, they offer a typology of conflict media coverage stages
Divergence (linguistics · Linguistics · Political economy · Political science · Representation (politics · Salience (neuroscience · Sociology · Typology · Ukrainian · Computer Science · Electoral Systems and Political Participation · Law · Media Studies and Communication · Social Media and Politics · Artificial Intelligence
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| Obras citantes distintas | 16 |
|---|---|
| Citas por año | 3,2 |
| Intervalo de citas | 2021 - 2026 (6) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 16 |