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description Journal article public Martabat

Kata Netizen Tentang Kesetaraan Gender dalam Sentimen Warganet Twitter

Azka Al Azkiya, Iliana Patricia Vega, M. Iqbal, Zahra Nurul Fatimah, Utami Dyah Syafitri
Published 2021

Abstract

Gender equality is one of the goals in the Sustainable Development Goals. However, until now Indonesia is still having difficulties in achieving this goal. According to the United Nations Development Program (UNDP) data, Indonesia's Gender Inequality Index (GII) is ranked 107 out of 189 countries. In addition, according to The Global Gender Gap Index 2021 data by the World Economic Forum (WEF), Indonesia is ranked 105th out of 153 countries. This shows that Indonesia is still lagging behind in terms of gender equality. Therefore, this study aims to analyze the sentiments of Indonesian twitter netizens regarding gender equality in 2018-2021 and its accuracy. Data was collected from primary data, scraping twitter data with the keywords #kesetaraan and #gender in Indonesian. The method used is Lexicon-based Sentiment Analysis with AFINN-111 dictionary translated into Indonesian. The results obtained are that the percentage of positive sentiments tends to decrease from year to year except for 2021. On the contrary, the negative sentiments of Twitter tend to increase. This is due to controversial articles in RKUHP, RUU Cipta Kerja, Covid-19 pandemic, and the online gender-based violence. This shows that the gender equality in Indonesia is still minimal and needs to be improved. Keywords: AFINN-111, gender equality, lexicon-based sentiment analysis, text mining, twitter

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