Attitude Subsystem in Recounts Told by Persian Male and Female Webloggers

Abstract

Appraisal theory has provided researchers with a powerful analytical tool to explore how language users express their feelings, attitude and judgments in texts. The present study was conducted to explore the use of appraisals in Persian recounts with a focus on the attitude subsystem. Forty-eight online recounts were selected (22 female writers and 26 male writers). The analysis was conducted two times at a one-week interval using the UAM corpus tool software. The results indicated that women generally used more attitude resources in their recounts compared to men and they also used more affect than men, both men and women encoded their evaluation more explicitly rather than implicitly, and in both types of recounts, attitude subsystems appeared in a special order in terms of frequency. In conclusion, predominant use of attitude in Persian recounts can be considered as evidence of effectiveness and applicability of the appraisal theory.