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This data was used in the following publications: 1. Koltsova, O., & Pashakhin, S. (2019). Agenda divergence in a developing conflict: Quantitative evidence from Ukrainian and Russian TV newsfeeds. Media, War & Conflict, 1750635 21982987. https://doi.org/10.1177/1750635219829876 2.Pashakhin S. Topic Modeling for Frame Analysis of News Media // Proceedings of the AINL FRUCT 2016. С. 103-105 – URL: http://fruct.org/publications/abstract-AINL-FRUCT-2016/files/Pas.pdf The dataset contains 45,009 news messages collected from official websites of a Russian (Channel One) and a Ukrainian (Channel 5) TV channels. Ukrainian news items were translated into Russian. The dataset has six variables: text -- a news item; channel -- a source of an item ('first' -- Russian TV channel, 'five' -- Ukrainian TV channel); date -- the date of publishing; url -- links to original news messages.
{"references": ["Koltsova, O., & Pashakhin, S. (2019). Agenda divergence in a developing conflict: Quantitative evidence from Ukrainian and Russian TV newsfeeds. Media, War & Conflict. https://doi.org/10.1177/1750635219829876"]}
Ukrainian crisis, news, Ukraine, Russia
Ukrainian crisis, news, Ukraine, Russia
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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