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Conflict Prevention in Internet during Spread of Coronavirus Infection (Survey Results)

Dados Bibliográficos

ID22040115
AutoresOlga Gukosyants (0000-0001-7879-8436, Pyatigorsk State University, autor correspondente)
Ano2024
Volume13
Fascículo1
Páginas141-158
Data de publicação2024-01-30
Open AccessSim
TipoARTICLE
PeriódicoNauchnyi Dialog (JOURNAL)
Identificadores do periódicoISSN: 2225-756X • E-ISSN: 2227-1295
EditoraOOO Centr naucnyh i obrazovatelnyh proektov (PUBLISHER)
DOI10.24224/2227-1295-2024-13-1-141-158
OpenAlexW4391644640
IdiomaEN
Citações recebidas1
Referências citadas4

The article presents the results of a survey of respondents, one of the tasks of which was to propose a response to a conflict-provoking message in such a way as to avoid escalation of the conflict and continue communication with the aggressor. The survey participants were 115 respondents (22% male and 78% female) aged 20 to 35, with incomplete higher or higher education. The respondents were presented with 15 texts, which were real comments on posts in LiveJournal, containing markers of conflict-provoking intention by the sender and published during the COVID-19 pandemic. The study of the respondents’ responses was conducted using methods of linguostylistic, contextual, and statistical analysis. Data analysis identified four speech strategies used by the respondents to prevent conflictual interaction, as well as tactics through which these strategies were implemented: self-defense strategy (distancing tactic, pluralism accentuation tactic, topic change tactic), politeness strategy (gratitude tactic, advice tactic, apology tactic, offer of help tactic), submission strategy (concession tactic, reinforcement of aggressor’s authority tactic), persuasion strategy (reasoning tactic, argumentation tactic)

Gratitude · Persuasion · Politeness · Political science · Digital Communication and Language · Discourse Analysis and Cultural Communication · Language, Discourse, Communication Strategies · Psychology · Social Psychology

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    Open Access•M N Latu, N A Knyazev•Nauchnyi Dialog•2024

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    Open Access•Henna Paakki, Heidi Vepsäläinen et al.•Computer Supported Cooperative…•2021

Citações por ano0,5
Intervalo de citações2024 - 2024 (1)
Altamente citadoNão

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Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae