TY - GEN
T1 - Propaganda Detection in Russian Telegram Posts in the Scope of the Russian Invasion of Ukraine
AU - Vanetik, Natalia
AU - Litvak, Marina
AU - Reviakin, Egor
AU - Tyamanova, Margarita
N1 - Publisher Copyright:
© 2023 Incoma Ltd. All rights reserved.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - The emergence of social media has made it more difficult to recognize and analyze misinformation efforts. Popular messaging software Telegram (Durov, 2013) has developed into a medium for disseminating political messages and misinformation, particularly in light of the conflict in Ukraine (Wikipedia contributors, 2023). In this paper, we introduce a sizable corpus of Telegram posts containing pro-Russian propaganda and benign political texts. We evaluate the corpus by applying natural language processing (NLP) techniques to the task of text classification in this corpus. Our findings indicate that, with an overall accuracy of over 96% for confirmed sources as propagandists and oppositions and 92% for unconfirmed sources, our method can successfully identify and categorize pro-Russian propaganda posts. We highlight the consequences of our research for comprehending political communications and propaganda on social media.
AB - The emergence of social media has made it more difficult to recognize and analyze misinformation efforts. Popular messaging software Telegram (Durov, 2013) has developed into a medium for disseminating political messages and misinformation, particularly in light of the conflict in Ukraine (Wikipedia contributors, 2023). In this paper, we introduce a sizable corpus of Telegram posts containing pro-Russian propaganda and benign political texts. We evaluate the corpus by applying natural language processing (NLP) techniques to the task of text classification in this corpus. Our findings indicate that, with an overall accuracy of over 96% for confirmed sources as propagandists and oppositions and 92% for unconfirmed sources, our method can successfully identify and categorize pro-Russian propaganda posts. We highlight the consequences of our research for comprehending political communications and propaganda on social media.
UR - http://www.scopus.com/inward/record.url?scp=85179180265&partnerID=8YFLogxK
U2 - 10.26615/978-954-452-092-2_123
DO - 10.26615/978-954-452-092-2_123
M3 - Conference contribution
AN - SCOPUS:85179180265
T3 - International Conference Recent Advances in Natural Language Processing, RANLP
SP - 1162
EP - 1170
BT - International Conference Recent Advances in Natural Language Processing, RANLP 2023
A2 - Angelova, Galia
A2 - Kunilovskaya, Maria
A2 - Mitkov, Ruslan
PB - Incoma Ltd
T2 - 2023 International Conference Recent Advances in Natural Language Processing: Large Language Models for Natural Language Processing, RANLP 2023
Y2 - 4 September 2023 through 6 September 2023
ER -