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LEXICAL SEMANTIC AND THEMATIC FIELD OF WORDS DENOTING POSITIVE EMOTIONS ... : ЛЕКСИЧЕСКОЕ СЕМАНТИЧЕСКОЕ И ТЕМАТИЧЕСКОЕ ПОЛЕ СЛОВ, ОБОЗНАЧАЮЩИХ ПОЛОЖИТЕЛЬНЫЕ ЭМОЦИИ ...
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A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
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A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
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ОСОБЕННОСТИ ВЫРАЖЕНИЯ РЕЧЕВОГО АКТА В РУССКОЙ ЛИНГВИСТИКЕ ...
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Students’ Attitudes and Competences in Modeling Using 3D Cartoon Toy Design Maker
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In: Sustainability; Volume 14; Issue 4; Pages: 2176 (2022)
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How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1822 (2022)
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Abstract:
The rise of cyberbullying has been of great concern for the general public. This study aims to explore public attitudes towards cyberbullying on Chinese social media. Cognition and emotion are important components of attitude, and this study innovatively used text analysis to extract the cognition and emotion of the posts. We used a web crawler to collect 53,526 posts related to cyberbullying in Chinese on Sina Weibo in a month, where emotions were detected using the software “Text Mind”, a Chinese linguistic psychological text analysis system, and the content analysis was performed using the Latent Dirichlet Allocation topic model. Sentiment analysis showed the frequency of negative emotion words was the highest in the posts; the frequency of anger, anxiety, and sadness words decreased in turn. The topic model analysis identified three common topics about cyberbullying: critiques on cyberbullying and support for its victims, rational expressions of anger and celebrity worship, and calls for further control. In summary, this study quantitatively reveals the negative attitudes of the Chinese public toward cyberbullying and conveys specific public concerns via three common topics. This will help us to better understand the demands of the Chinese public so that targeted support can be proposed to curb cyberbullying.
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Keyword:
attitude; cyberbullying; sentiment analysis; social media; text analysis; topic model
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URL: https://doi.org/10.3390/ijerph19031822
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Discurso de odio y aceptación social hacia migrantes en Europa: Análisis de tuits con geolocalización
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 71, 2022 (Ejemplar dedicado a: Discursos de odio en comunicación: Investigaciones y propuestas), pags. 21-35 (2022)
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Enseignement du créole dans la Caraïbe et l'ocan Indien : an update = Creole teaching in the Caribbean and in the Indian Ocean
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Belaise, Max (Herausgeber). - La Courneuve : Scitep éditions, 2021
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UB Frankfurt Linguistik
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