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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Chernyaev, A., Spryiskov, A., Ivashko, A., Bidulya, Y. (2020). A Rumor Detection in Russian Tweets. In: Karpov, A., Potapova, R. (eds) Speech and Computer. SPECOM 2020. Lecture Notes in Computer Science(), vol 12335. Springer, Cham. https://doi.org/10.1007/978-3-030-60276-5_11
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DOI: https://doi.org/10.1007/978-3-030-60276-5_11
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