Opis

• Tytuł:
  Female identity discourse in automobile advertisements
• Twórca:
  López Díaz, Montserrat;
  Kacprzak, Alicja
• Opis:
  The article analyzes the way in which the modern car-advertisement defines the identity of women as potential purchasers – to whom it is designed to get through. The research includes language and iconic instruments by which this type of advertisement aims to create a feminized market of products formerly recognized as traditionally masculine. The identification of the addressee of each publicity material might be subsumed under a set of stereotypes, thus enabling advertisers to get across their message using the code of addressee’s own values. The present paper concentrates on the linguistic specifity of the ads for high-tech goods (automobiles) targeting the feminine public and eventually points out their high degree of markedness according to the sex of addressees. Discourse analysis and a closer look at linguistic means appearing in French, Spanish and Polish automotive commercials both reveals a stereotyped woman’s image and shows how they happen to perpetutate it.
• Dostępność obiektu:
  Dostęp otwarty
• Prawa:
  Prawa autorskie (c) 2015 Montserrat López Díaz, Alicja Kacprzak
• Data:
  2012.01.01
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion;
  Artykuł naukowy
• Język:
  francuski
• Źródło:
  Studia Romanica Posnaniensia; Vol. 39 No. 4 (2012): Interfaces de la syntaxe et de la sémantique lexicale. Synchronie & diachronie; 71-83;
  Studia Romanica Posnaniensia; Tom 39 Nr 4 (2012): Interfaces de la syntaxe et de la sémantique lexicale. Synchronie & diachronie; 71-83;
  2084-4158;
  0137-2475
• Format:
  application/pdf
• Wydawca:
  Adam Mickiewicz University Poznan
• Relacja: http://pressto.amu.edu.pl/index.php/srp/article/view/3021/3007
• Temat i słowa kluczowe:
  discourse analysis;
  automobile advertisement;
  gender stereotypes;
  female identity;
  persuasion
• Identyfikator: http://pressto.amu.edu.pl/index.php/srp/article/view/3021
• Dostawca danych:
  Platforma Otwartych Czasopism Naukowych UAM
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