The dominant features of the internet linguistics

Bibliographic Data

ID19576096
AuthorsValentyna Zaiets (0000-0003-1370-697X, Borys Grinchenko Kyiv Metropolitan University), Nataliia Zadorizhna (0000-0001-7727-8447, Taras Shevchenko National University of Kyiv), Iryna Ilchenko (0000-0003-0454-1106, National University Zaporizhzhia Polytechnic), Svitlana Sablina (0000-0001-7040-6258, National University Zaporizhzhia Polytechnic), Hanna Udovichenko (0000-0003-3731-0857, Donetsk National University of Economics and Trade named after Mykhailo Tugan-Baranovsky), Liudmyla Zahorodnia (0000-0002-2217-1041, Oleksandr Dovzhenko Hlukhiv National Pedagogical University)
Year2021
Pagese021115
Publication date2021-12-17
Open AccessYes
TypeARTICLE
VenueRevista EntreLinguas (JOURNAL)
Journal identifiersISSN: 2447-3529 • E-ISSN: 2447-4045
PublisherRevista EntreLinguas (PUBLISHER)
DOI10.29051/el.v7i00.15954
OpenAlexW4205565636
LanguageEN
Citations received1
References cited5

This research aims at the modern Internet linguistics features by carrying out linguistic analysis using descriptive statistics of students in distance learning. A linguistic analysis found that most students used lexical, orthographic, paralinguistic, and graphic features when communicating in an online classroom. A total of 452 messages, containing a corpus of 6,340 words, were analyzed and found that only 23.72% of the total corpus was found with lexical, spelling, paralinguistic and graphical features at the Massachusetts Institute of Technology, 22.63% at Stanford University, 21.78% at Harvard University, 24.58% at the California Institute of Technology and 22.76% at Oxford University

Corpus linguistics · Linguistics · Paralanguage · Spelling · The Internet · World Wide Web · Computer Science · Digital Communication and Language · Artificial Intelligence