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DOI: 10.46698/VNC.2024.27.20.008 LIFESPAN OF INFORMATION ON THE NETWORK: ANALYSIS OF NEWS STORIES IN DAGESTAN TELEGRAM CHANNELS
Gabaraeva, Marina R.
Kavkaz Forum. 2024. Issue 20.
Abstract:
Social networks are a storage of big data and allow researchers to explore various forms of social interactions between users, user groups, and large communities. The high speed of data exchange in social networks allows information to spread instantly around the world. The study of the dissemination of information online is usually done in two ways – in space and in time. The first case considers the actors transmitting information and the connections between them, while the second one considers the lifetime of information. This article offers an analysis of 5 news stories in the Dagestan segment of the Telegram messenger. In the future, it is necessary to confirm this data by analyzing the online space of other regions of the North Caucasus Federal District, but preliminary conclusions can be drawn based on this study. The lifespans of events of different topics in Telegram channels were identified. A comparison was made of calls for protests against mobilization in Makhachkala in September 2022 and 4 resonant news items. The analysis showed that the lifespan of information online depends little on its topic and ranges from 5 to 10 days. The main difference with protest is the presence of preliminary preparation necessary to create discontent: the number of publications starts small and then reaches peak values on the day of the protest. In the case of ordinary news stories, the number of publications is maximum on the day of the event with a gradual decrease to zero.
Keywords: content analysis, information dissemination, social networks, Dagestan, Telegram channels, news item.
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For citation: Gabaraeva, M.R. Lifespan of information on the network: analysis of news stories in Dagestan Telegram channels. KAVKAZ-FORUM. 2024, iss. 20 (27), pp. 113-122 (In Russian). DOI 10.46698/VNC.2024.27.20.008 ← Contents of issue |
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