The conceptualisation of lie in contemporary English texts
Datos Bibliográficos
| ID | 21574493 |
|---|---|
| Autores | Irena Snukiškienė (0000-0003-0228-9955, autor de correspondencia) |
| Año | 2022 |
| Volumen | 34 |
| Páginas | 287 |
| Fecha de publicación | 2022-09-30 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Etnolingwistyka Problemy Języka i Kultury (JOURNAL) |
| Identificadores de la revista | ISSN: 0860-8032 • E-ISSN: 2449-8335 |
| Editorial | Maria Curie-Sklodowska University (PUBLISHER) |
| DOI | 10.17951/et.2022.34.287 |
| OpenAlex | W4303940585 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 3 |
The study aims to reconstruct the linguistic-cultural image of the cultural concept of lie entrenched in contemporary English texts. The research is conducted within the S-Q-T methodology proposed by the Ethnolinguistic School of Lublin. The analysis was carried out by distinguishing semantic aspects of the concept of lie in textual data, interpreting them, and grouping them into semantic profiles. The data consist of the contexts selected from the British National Corpus (BNC), the media corpus News on the Web (NOW), and independently selected texts retrieved from the press and the Internet. The research shows that lie in contemporary English texts is primarily seen from the political perspective where it is closely associated with post-truth. The texts also reveal numerous profiles of lie and its ambiguous axiological assessment. Although in general it is considered unethical, morally unacceptable and axiologically negative, lying is also seen as a necessary element of social life and an integral aspect of politics
Lie detection · Linguistics · Lying · Political science · Politics · Sociology · The Internet · World Wide Web · Computer Science · Language, Discourse, Communication Strategies · Law · Philosophy · Psychology · Social Psychology · Swearing, Euphemism, Multilingualism · Artificial Intelligence
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2025 - 2025 (1) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |