The Research Basis of Linguistic Forensics and the Features of Profiling a “Digital Personality”

Мұқаба

Дәйексөз келтіру

Аннотация

The article is devoted to the ways of determining the profiling to a digital personality. In the context of digital communication, counteracting crime is possible by means and methods of applied and experimental linguistics through the author relation text expertise. The main factors that characterize social network discourse presented in the specifics of the texts generated in its process and which are considered as the result of the newest type of Internet-mediated communication. The paper provides a linguistic analysis of a text containing signs of imitation of the interferential influence of another language system, considers traditional and the newest approaches to estimating the key linguistic parameters that would allow to solve profiling issues on the basis of Russian speech.

Авторлар туралы

Rodmonga Potapova

Moscow State Linguistic University

Хат алмасуға жауапты Автор.
Email: RKPotapova@yandex.ru

D.Sc., Professor, Member of the International Academy of Informatization, Director of Institute of Applied and Mathematical Linguistics

Ресей

Irina Kuryanova

Moscow State Linguistic University; Moscow State Budget Institution «Moscow research center»

Email: ivkuryanova@mail.ru

PhD (philological science), Head of the experimental phonetic laboratory of criminalistics for speech translation at the Institute of Applied and Mathematical Linguistics of the Moscow State Linguistic University; Head of the Department of forensic linguistics of the Moscow State Budget Institution «Moscow research center» of the Department of Regional Security and Anti-Corruption of Moscow 

Ресей

Әдебиет тізімі

  1. Potapova, R. K., Kuryanova, I. V. (2021). Features of text research in the age of internet-mediated communication. Science Journal of VolSU. Linguistics, 20(2), 5–15. https://doi.org/10.15688/jvolsu2.2021.2.1
  2. Potapova, R. K., Potapov, V.V. (2006). Yazyk, rech’, lichnost’ = Language, Speech, Personality. Moscow, Publishing House languages of Slavic culture. (In Russ.)
  3. Potapova, R. K. (2016). Rechevaya kommunikatsiya v informatsionnom prostranstve = Speech Communication in the Information Space. Moscow, Publishing House LENAND. (In Russ.)
  4. Savel’ev, D. Chto takoe viral’nyj kontent? = What Is Virtual Content? URL: https://texterra.ru/blog/ chto-takoeviralnyy-kontent-infografika.html. (In Russ.)
  5. Sergeev, O.V., Tereshchenko, O.V. (2017). Novye media: sotsial’naya teoriya i metodologiya issledovanij: slov.- sprav. = New Media: Social Theory and Research Methodology. Reference Dictionary. St Petersburg, Publishing House Aleteya. (In Russ.)
  6. P’ege-Gro, N. (2008). Vvedenie v teoriyu intertekstual’nosti = Introduction to the Theory of Intertextuality. Moscow, Publishing House LKI. (In Russ.)
  7. Appel, M. (2020). Die Psychologie des Postfaktischen: Über Fake News, „Lügenpresse”, Clickbait und Co. Würzburg: Springer.
  8. Potapova, R. K., Potapov, V. V., Lebedeva, N. N., Agibalova, T. V. (2015). Mezhdistsiplinarnost’ v issledovanii rechevoj poliinformativnosti = Interdisciplinarity in the study of speech polyinformativity. Moscow: Publishing House languages of Slavic culture. (In Russ.)
  9. Potapova, R. K., Potapov, V. V. (2017). Fundamentals of multi-versatile voice and speech of the “electronic personality” on the basis of voice and speech on the intonation and communication Internet medium. Hum. Being Image Essence Humanitarian Aspects 1–2 (28–29), 87–111.
  10. Potapova, R., Potapov, V. (2016). On individual polyinformativity of speech and voice regarding, speakers auditive attribution (forensic phonetic aspect). In: Ronzhin, A., Potapova, R., Németh, G. (eds.), SPECOM’2016, Cham LNCS (LNAI), 9811, 507–514. Springer.

Қосымша файлдар

Қосымша файлдар
Әрекет
1. JATS XML


Creative Commons License
Бұл мақала лицензия бойынша қолжетімді Creative Commons Attribution 4.0 International License.

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).