Pandemic Fatigue: An Analysis of Twitter Users’ Sentiments Against the COVID-19 in Indonesia
Indonesian society is undergoing a shift of behavioral patterns towards the coronavirus (COVID) 19 indicating the symptoms of the pandemic fatigue phenomenon. Pandemic fatigue is defined as a gradual demotivation to adhere to recommended protective behaviors. Pandemic fatigue might reduce the effect...
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| Format: | Article |
| Language: | Indonesian |
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Universitas Gadjah Mada
2022-08-01
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| Series: | Jurnal Psikologi |
| Subjects: | |
| Online Access: | https://jurnal.ugm.ac.id/jpsi/article/view/71979 |
| _version_ | 1811281308782952448 |
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| author | Dina Arifka Muhammad Naufal Hakim Adib Siddhi Adhipta Ketut Shri Satya Yogananda Rania Salsabila Ridi Ferdiana |
| author_facet | Dina Arifka Muhammad Naufal Hakim Adib Siddhi Adhipta Ketut Shri Satya Yogananda Rania Salsabila Ridi Ferdiana |
| author_sort | Dina Arifka |
| collection | DOAJ |
| description | Indonesian society is undergoing a shift of behavioral patterns towards the coronavirus (COVID) 19 indicating the symptoms of the pandemic fatigue phenomenon. Pandemic fatigue is defined as a gradual demotivation to adhere to recommended protective behaviors. Pandemic fatigue might reduce the effectiveness of health protocols and accelerate the spread of the virus. This study aims to examine the pandemic fatigue sentiment of Indonesian twitter-users chronologically and the factors causing the development of pandemic fatigue sentiment. The method of this study includes digital ethnographic theory using sentiment analysis based on the Valence Aware Dictionary for Sentiment Reasoning (VADER) algorithm and topic modelling using Latent Dirichlet Allocation (LDA) analysis. The results showed a pattern of sentiment degression towards health protocols indicating the pandemic fatigue phenomenon. The factors causing the sentiment degression were influenced by three themes: (1) public criticism of the government's efforts to handle the spread of COVID-19, (2) experience in implementing health protocols, and (3) statements that against the government’s efforts to handle the spread of COVID-19. Based on the results of sentiment analysis and topic modelling, this study presents a public policy design referencing the World Health Organization (WHO) framework for community reinvigoration in the midst of pandemic fatigue that could be used for the government to undertake broader reforms to public health and social care for Indonesian society. |
| first_indexed | 2024-04-13T01:30:15Z |
| format | Article |
| id | doaj.art-cc74ae33d6514bd3a44b22042d217864 |
| institution | Directory Open Access Journal |
| issn | 0215-8884 2460-867X |
| language | Indonesian |
| last_indexed | 2024-04-13T01:30:15Z |
| publishDate | 2022-08-01 |
| publisher | Universitas Gadjah Mada |
| record_format | Article |
| series | Jurnal Psikologi |
| spelling | doaj.art-cc74ae33d6514bd3a44b22042d2178642022-12-22T03:08:31ZindUniversitas Gadjah MadaJurnal Psikologi0215-88842460-867X2022-08-0149218219410.22146/jpsi.7197932304Pandemic Fatigue: An Analysis of Twitter Users’ Sentiments Against the COVID-19 in IndonesiaDina Arifka0Muhammad Naufal Hakim1Adib Siddhi Adhipta2Ketut Shri Satya Yogananda3Rania Salsabila4Ridi Ferdiana5Faculty of Psychology, Universitas Gadjah MadaFaculty of Engineering, Universitas Gadjah Mada, Indonesia,Faculty of Engineering, Universitas Gadjah Mada, Indonesia,Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada,Faculty of Cultural Sciences, Universitas Gadjah MadaFaculty of Engineering, Universitas Gadjah MadaIndonesian society is undergoing a shift of behavioral patterns towards the coronavirus (COVID) 19 indicating the symptoms of the pandemic fatigue phenomenon. Pandemic fatigue is defined as a gradual demotivation to adhere to recommended protective behaviors. Pandemic fatigue might reduce the effectiveness of health protocols and accelerate the spread of the virus. This study aims to examine the pandemic fatigue sentiment of Indonesian twitter-users chronologically and the factors causing the development of pandemic fatigue sentiment. The method of this study includes digital ethnographic theory using sentiment analysis based on the Valence Aware Dictionary for Sentiment Reasoning (VADER) algorithm and topic modelling using Latent Dirichlet Allocation (LDA) analysis. The results showed a pattern of sentiment degression towards health protocols indicating the pandemic fatigue phenomenon. The factors causing the sentiment degression were influenced by three themes: (1) public criticism of the government's efforts to handle the spread of COVID-19, (2) experience in implementing health protocols, and (3) statements that against the government’s efforts to handle the spread of COVID-19. Based on the results of sentiment analysis and topic modelling, this study presents a public policy design referencing the World Health Organization (WHO) framework for community reinvigoration in the midst of pandemic fatigue that could be used for the government to undertake broader reforms to public health and social care for Indonesian society.https://jurnal.ugm.ac.id/jpsi/article/view/71979pandemic fatiguetwitteretnografi digital |
| spellingShingle | Dina Arifka Muhammad Naufal Hakim Adib Siddhi Adhipta Ketut Shri Satya Yogananda Rania Salsabila Ridi Ferdiana Pandemic Fatigue: An Analysis of Twitter Users’ Sentiments Against the COVID-19 in Indonesia Jurnal Psikologi pandemic fatigue etnografi digital |
| title | Pandemic Fatigue: An Analysis of Twitter Users’ Sentiments Against the COVID-19 in Indonesia |
| title_full | Pandemic Fatigue: An Analysis of Twitter Users’ Sentiments Against the COVID-19 in Indonesia |
| title_fullStr | Pandemic Fatigue: An Analysis of Twitter Users’ Sentiments Against the COVID-19 in Indonesia |
| title_full_unstemmed | Pandemic Fatigue: An Analysis of Twitter Users’ Sentiments Against the COVID-19 in Indonesia |
| title_short | Pandemic Fatigue: An Analysis of Twitter Users’ Sentiments Against the COVID-19 in Indonesia |
| title_sort | pandemic fatigue an analysis of twitter users sentiments against the covid 19 in indonesia |
| topic | pandemic fatigue etnografi digital |
| url | https://jurnal.ugm.ac.id/jpsi/article/view/71979 |
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