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Cited by 76 publications
(66 citation statements)
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“…We evaluate different classifiers that predict frames for unlabeled tweets in Golovchenko et al (2018)'s dataset, in order to increase the number of polarized edges in the retweet network derived from the data. This is challenging due to a skewed data distribution and the small amount of training data for the pro-Russian class.…”
Section: Contributionsmentioning
confidence: 99%
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“…We evaluate different classifiers that predict frames for unlabeled tweets in Golovchenko et al (2018)'s dataset, in order to increase the number of polarized edges in the retweet network derived from the data. This is challenging due to a skewed data distribution and the small amount of training data for the pro-Russian class.…”
Section: Contributionsmentioning
confidence: 99%
“…It contains tweets collected based on keyword search 5 that were posted between July 17, 2014 (the day of the plane crash) and December 9, 2016. Golovchenko et al (2018) provide annotations for a subset of the English tweets contained in the dataset. A tweet is annotated with one of three classes that indicate the framing of the tweet with respect to responsibility for the plane crash.…”
Section: Datasetmentioning
confidence: 99%
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