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The corresponding paper for this dataset "Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis" has been published in the ACM Web Conference 2023 (WWW'23), and can be accessed here: https://doi.org/10.1145/3543507.3583442 . Please cite this when using the dataset. Twitter dataset of European news and replies to investigate public stance on refugees/migrants around the Ukrainian Crisis. September 2021 to August 2022. Countries: France Germany Italy Poland Spain Dataset contains: Usernames of news outlet accounts on Twitter Tweet IDs of these news accounts during the mentioned period filtered for the migration topic + respective replies from the public Tweet IDs of stance annotated replies 8,242 tweet/reply pairs labeled with the stance (positive / negative / neutral) on migrants/refugees (on request) Dataset overview by the numbers Country News Outlets News Tweets Replies Stance Annotated France 37 2,020 32,839 500 Germany 72 3,752 55,317 500 Italy 21 1,305 9,892 500 Poland 35 3,138 27,892 6,242 Spain 35 1,263 20,771 500 200 11,478 146,711 8,242 Please note: Stance labels are not included and are only available on request.
twitter, news, migration, stance
Twitter Data
twitter, news, migration, stance
Twitter Data
| 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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