"NEW SINCERITY" IN SOCIAL MEDIA TEXTS: INTENTIONS, EFFECTS AND SPEECH FEATURES

被引:0
|
作者
Kaminskaya, Tatyana L. [1 ,2 ]
机构
[1] Financial Univ Govt Russian Federat, Dept Mass Commun & Media Business, Prosp Leningradsky 49, Moscow 125993, Russia
[2] Yaroslav Wise Novgorod State Univ, Dept Journalism, Sankt Petersburgskaya St 41, Veliky Novgorod 173003, Russia
关键词
new sincerity; social networks; feminist media discourse; VKontakte; author's intention;
D O I
10.15688/jvolsu2.2024.2.4
中图分类号
H [语言、文字];
学科分类号
05 ;
摘要
The article presents the results of a study on the phenomenon of "new sincerity" examined on the material of posts on social networks (about 2 thousand contexts in total). It has been noticed that while in registered media the phenomenon mainly exists as initiated by the journalist (in the genres of interviews with famous people), in social media it acts as an initiative of the author. The object of the study was the intentions of the authors of the posts, manifested in their speech, as well as the feedback that the authors received in response to their confession. The discursive approach used in the study has demonstrated the correlation between the topics of confessional posts and the general tasks of public social networks, between author's intentions and word usage. Thus, feminist public accounts are created specifically to demonstrate those aspects of women's life in society that have not been publicly discussed before. Borrowed vocabulary is widely used in such cases, as well as words that belong to the field of psychotherapy. Confessional posts on the authors' personal accounts are much rarer, more varied in topic, most often aimed at creative self-expression and focused on a circle of familiar people. The types of addressees' reactions to confessional posts are characterized: from distrust of what has been said to support with a demonstration of their similar experience and advice. The research contributes to the development of communication studies in general and media text linguistics in particular.
引用
收藏
页码:46 / 56
页数:11
相关论文
共 50 条
  • [31] Measuring Similarity for Short Texts on Social Media
    Duong, Phuc H.
    Nguyen, Hien T.
    Ngoc-Tu Huynh
    COMPUTATIONAL SOCIAL NETWORKS, CSONET 2016, 2016, 9795 : 249 - 259
  • [32] Convergence of Public Relations Texts in Social Media
    Balakhonskaya, Liudmila, V
    Balakhonsky, Vitaly V.
    Sagiyeva, Aelita T.
    PROCEEDINGS OF THE 2021 COMMUNICATION STRATEGIES IN DIGITAL SOCIETY SEMINAR (2021 COMSDS), 2021, : 63 - 68
  • [33] GRAMMATICAL SPECIFIC FEATURES OF SOCIAL AND POLITICAL TEXTS
    Subbotina, Victoria
    INTED2012: INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE, 2012, : 92 - 98
  • [34] The impacts of fans' sincerity perceptions and social media usage on attitude toward sponsor
    Demirel, Abdullah
    Erdogmus, Irem
    SPORT BUSINESS AND MANAGEMENT-AN INTERNATIONAL JOURNAL, 2016, 6 (01) : 36 - 54
  • [35] IMPLICIT SPEECH AGGRESSION IN THE TEXTS OF THE CONTEMPORARY BRITISH MASS MEDIA
    Maevskiy, Vladimir M.
    VESTNIK VOLGOGRADSKOGO GOSUDARSTVENNOGO UNIVERSITETA-SERIYA 2-YAZYKOZNANIE, 2022, 21 (04): : 111 - 122
  • [36] Sentiment Classification of Anxiety-Related Texts in Social Media via Fuzing Linguistic and Semantic Features
    Zhu, Jianghong
    Zhang, Zhenwen
    Guo, Zhihua
    Li, Zepeng
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, : 6819 - 6829
  • [37] Victim Impact Statements, New Media Technologies, and the Classical Rhetoric of Sincerity
    Butler, Todd
    UNIVERSITY OF TORONTO QUARTERLY, 2013, 82 (04) : 841 - 863
  • [38] CREOLIZATION FEATURES OF MEDIA TEXTS IN THE NEWS PUBLICS OF THE VKONTAKTE SOCIAL NETWORK (A CASE STUDY OF THE REPUBLIC OF MORDOVIA)
    Dementieva, Kseniya, V
    VESTNIK MOSKOVSKOGO UNIVERSITETA. SERIYA 10. ZHURNALISTIKA, 2020, (04): : 170 - 196
  • [39] Suppressing Atrocity Speech on Social Media
    Irving, Emma
    AJIL UNBOUND, 2019, 113 : 256 - 261
  • [40] The Virality of Hate Speech on Social Media
    Maarouf A.
    Pröllochs N.
    Feuerriegel S.
    Proceedings of the ACM on Human-Computer Interaction, 2024, 8 (CSCW1)