Understanding Direct Mail Letters as a genre
Dados Bibliográficos
| ID | 12621531 |
|---|---|
| Autores | Thomas A Upton (0009-0001-7300-2926, Indiana University Indianapolis, autor correspondente) |
| Ano | 2002 |
| Volume | 7 |
| Fascículo | 1 |
| Páginas | 65-85 |
| Data de publicação | 2002-10-18 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | International Journal of Corpus Linguistics (JOURNAL) |
| Identificadores do periódico | ISSN: 1384-6655 • E-ISSN: 1569-9811 |
| Editora | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/ijcl.7.1.04upt |
| OpenAlex | W2016990176 |
| Idioma | EN |
| Citações recebidas | 22 |
| Referências citadas | 1 |
What makes non-profit, philanthropic discourse so persuasive has not been well explored to date. Using a specialized corpus of direct-mail letters from philanthropic organizations in five different fields, this study seeks to combine the tools of corpus analysis with the specificity of genre analysis in a way that has not been done before to provide a new perspective on a genre that is not well understood. The underlying goal is to look for a methodology that will provide much of the qualitative detail that is common to genre analysis, while at the same time providing the reliability that is best assured by the quantitative power of computerized corpus analysis. Using Bhatia's approach to genre analysis (1993) and his exploratory efforts in investigating fundraising discourse (1997, 1998) as a foundation, key patterns in the rhetorical structure of direct-mail letters revealed through a large-scale corpus analysis are presented
Corpus linguistics · Data science · Discourse analysis · Exploratory analysis · Exploratory research · Genre analysis · Key (lock · Linguistics · Natural language processing · Perspective (graphical · Qualitative analysis · Qualitative research · Rhetorical question · Social science · Sociology · Computer Science · Discourse Analysis in Language Studies · Publishing and Scholarly Communication · Wikis in Education and Collaboration · Artificial Intelligence
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| Obras citantes distintas | 22 |
|---|---|
| Citações por ano | 1,1 |
| Intervalo de citações | 2006 - 2024 (19) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 22 |