Abstract
In this paper, we investigate the problem of the rumor detection for Russian language. For experiments, we collected messages in Twitter in Russian. We implemented a set of features and trained a neural network on the dataset about three thousand tweets, collected and annotated by us. 40% of this collection contains rumors of three events. The software for rumor detection in tweets was developed. We used SVM to filter tweets by type of speech act. An experiment was conducted to check the tweet for rumor with a calculation of accuracy, precision and recall values. F1 measure reached the value 0.91.
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CITATION STYLE
Chernyaev, A., Spryiskov, A., Ivashko, A., & Bidulya, Y. (2020). A Rumor Detection in Russian Tweets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12335 LNAI, pp. 108–118). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60276-5_11
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