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Lexico-Semantical Indices of “Deprivation – Aggression” Modality Correlation in Social Network Discourse

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Speech and Computer (SPECOM 2017)

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Abstract

The article analyzes the social network discourse (SND) with elements of speech aggression actualized by communicants, whose emotional state is caused by various deprivation factors. The analysis of 398 statements from men and women revealed the frequency use of these statements the stylistic modality of which relates to the aggressive type, while actualizing topics in the speech communication associated with facts of social-cognitive deprivation. The dominant type of speech activity in the analyzed SNDs is an aggressive speech response of the SND-communicant (SND-addressee) to the speech provocation of another communicant (SND-sender). Previously it was revealed that, as a rule, a major role is played by the gender factor: compared to women, men feel more at ease in using statements of the aggressive type, both for speech provocation and for aggressive speech response.

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Notes

  1. 1.

    See the concept details in [15, 16, 18].

  2. 2.

    More on the principles of database on semantic field “aggression” formation and development of annotated corpuses on this subject, see in [20,21,22, 24].

  3. 3.

    One statement equals to one publication of a particular SND-communicant.

  4. 4.

    See details in [10].

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Acknowledgments

The research is being carried out with the support of Russian Science Foundation (RSF) in the framework of the project №14-18-01059 “Basic research of the typology of verbal and paraverbal determinants of emotional and modal behavior of communicants in conditions of multi-factor deprivation (with respect to electronic media sources, social networks and Internet telephony Skype)” at Moscow State Linguistic University.

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Potapova, R., Komalova, L. (2017). Lexico-Semantical Indices of “Deprivation – Aggression” Modality Correlation in Social Network Discourse. In: Karpov, A., Potapova, R., Mporas, I. (eds) Speech and Computer. SPECOM 2017. Lecture Notes in Computer Science(), vol 10458. Springer, Cham. https://doi.org/10.1007/978-3-319-66429-3_49

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  • DOI: https://doi.org/10.1007/978-3-319-66429-3_49

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