Banca de DEFESA: ÍTALA LISANDRA DE OLIVEIRA LIMA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : ÍTALA LISANDRA DE OLIVEIRA LIMA
DATE: 08/03/2023
TIME: 09:00
LOCAL: Google Meet
TITLE:


Analysis of tweets in the light of the Attitude Subsystem - Women and contraception


KEY WORDS:

Evaluativity; Attitude Subsystem; Tweets; Women; Contraception.


PAGES: 100
BIG AREA: Lingüística, Letras e Artes
AREA: Lingüística
SUMMARY:

This work aims to contribute to the studies between society and language and focuses on the analysis of tweets written by women on contraception based on Systemic-Functional Linguistics (LSF) (HALLIDAY 1999; HALLIDAY & MATHISSIESSEN 2014. This theory conceives language as a semiotic potential in meeting the needs of the society in which it is used. The objective of the research is to verify marks of Evaluativity in the tweets in order to recognize the impacts of these marks in the construction of the message from the categories of the Subsystem of Attitude, such as of sociocultural behaviors and values (objects/beings). The specific theoretical framework on Evaluativity is based on the studies of Martin and White (2005), researchers who created and disseminated this theory from Halliday’s studies on LSF. The methodological cut was given by the collection of tweets in January 2021, in order to analyze how, after one year of the beginning of COVID-19, the impacts on the health and reproductive life of Brazilian women would manifest in the writings. It is proposed to study the opinions of women regarding contraception, since there is a great social responsibility about them about the use of contraceptives, even in pandemic times in which health difficulties were aggravated. As a result, it was observed that the Assessment was the category most used by the users, with 124 evaluative items, and the hypothesis that women have a more negative view regarding contraception and contraceptive methods was confirmed, by analyzing the linguistic resources chosen by them to publish the tweets.


COMMITTEE MEMBERS:
Interna - 1767200 - MARIA MEDIANEIRA DE SOUZA
Externa à Instituição - ANA LARISSA ADORNO MARCIOTTO OLIVEIRA - UFMG
Externo à Instituição - WELLINGTON VIEIRA MENDES - UERN
Notícia cadastrada em: 15/02/2023 11:40
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