Content analysis of social and economic issues in Indonesia during the COVID-19 pandemic

Gandasari, Dyah; Dwidienawati, Diena

doi:10.1016/j.heliyon.2020.e05599

Cited by 75 publications

(58 citation statements)

References 2 publications

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“…The results also show that the Indonesian government's inconsistent stance in implementing policies has contributed to the emergence of public emotions such as fear and sadness. The Indonesian media may have played a role in this, as concerns about socioeconomic uncertainty, LSSR, social distancing violations, and economic downturn in all sectors were widely reported in the media from March to early April 2020 [36]. In the earlier phase of the pandemic, negative media reports on issues such as insufficient government response, patient care, and burial of the deceased also caused agitation among the Indonesian public [37].…”

Section: Principal Findingsmentioning

confidence: 99%

Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media

Sakti¹,

Mohamad²

2021

J Med Internet Res

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Background One of the successful measures to curb COVID-19 spread in large populations is the implementation of a movement restriction order. Globally, it was observed that countries implementing strict movement control were more successful in controlling the spread of the virus as compared with those with less stringent measures. Society’s adherence to the movement control order has helped expedite the process to flatten the pandemic curve as seen in countries such as China and Malaysia. At the same time, there are countries facing challenges with society’s nonconformity toward movement restriction orders due to various claims such as human rights violations as well as sociocultural and economic issues. In Indonesia, society’s adherence to its large-scale social restrictions (LSSRs) order is also a challenge to achieve. Indonesia is regarded as among the worst in Southeast Asian countries in terms of managing the spread of COVID-19. It is proven by the increased number of daily confirmed cases and the total number of deaths, which was more than 6.21% (1351/21,745) of total active cases as of May 2020. Objective The aim of this study was to explore public sentiments and emotions toward the LSSR and identify issues, fear, and reluctance to observe this restriction among the Indonesian public. Methods This study adopts a sentiment analysis method with a supervised machine learning approach on COVID-19-related posts on selected media platforms (Twitter, Facebook, Instagram, and YouTube). The analysis was also performed on COVID-19-related news contained in more than 500 online news platforms recognized by the Indonesian Press Council. Social media posts and news originating from Indonesian online media between March 31 and May 31, 2020, were analyzed. Emotion analysis on Twitter platform was also performed to identify collective public emotions toward the LSSR. Results The study found that positive sentiment surpasses other sentiment categories by 51.84% (n=1,002,947) of the total data (N=1,934,596) collected via the search engine. Negative sentiment was recorded at 35.51% (686,892/1,934,596) and neutral sentiment at 12.65% (244,757/1,934,596). The analysis of Twitter posts also showed that the majority of public have the emotion of “trust” toward the LSSR. Conclusions Public sentiment toward the LSSR appeared to be positive despite doubts on government consistency in executing the LSSR. The emotion analysis also concluded that the majority of people believe in LSSR as the best method to break the chain of COVID-19 transmission. Overall, Indonesians showed trust and expressed hope toward the government’s ability to manage this current global health crisis and win against COVID-19.

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Section: Principal Findingsmentioning

confidence: 99%

Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media

Sakti¹,

Mohamad²

2021

J Med Internet Res

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“…Content analysis is a popular method of data analysis that supports building theoretical framework. Content analysis is viewed simply as a systematic tool that examines communicated texts, current and historical data, and presented graphs either in hard or electronic format (Eriyanto, 2011, cited in [25] The purpose of content analysis to reduce the volume and the complexity of the available data and enable the researcher to identify themes, elicit an understanding, and draw valuable conclusions from the presented data [26,27].…”

Section: Methodsmentioning

confidence: 99%

Global Analysis of Potential COVID 19 Transmission and Enabling Factors

Magd

Karyamsetty

2021

GJEID

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Background: Coronavirus disease has caused global turmoil especially causing huge impact on human life all over the world. Current reports states more than 3 million people have lost life and more than 160 million people are known to be suspected with the SARS-CoV-2. Transmission and disease incidence rates are indicators to assess the seriousness of COVID-19 pandemic and studies to understand the factors that aid in this direction are very vital to curb the disease. Methods:The study intends to discover the relationship by performing statistical analysis using correlation and multiple linear regression analysis between the variable's population density, temperature, relative humidity, and active time of virus and find out the parameters that predict the cases reported per million population in 83 countries. Results: Analysis indicates active time of virus in days is very positively associated with the COVID -19 cases in all the countries r = .604, p < .01. Active time of virus shows strong negative correlation with temperature r = -.930, p < .01 revealing that rise in temperature will reduce the virus activity in the population. Together, these variables will account for 36.2% variance in the cases per million population with no significant prediction estimated from any factor. Conclusion: The study outcomes clearly state that population density alone is insufficient to estimate the extent of influence on COVID -19 cases as the number of persons living per sq. km of land is a dynamic quantity tend to fluctuate over time and space due to migration of population. In conjunction to the previous studies reported on the environmental and climatic factors influencing the cases reported, population dynamics does not show much significance on the disease spread and incidence. Contribution: The rise in confirmed cases and the high incidence rate reported in countries can be attributed to the active time of virus life expectancy as there is a positive correlation observed between the COVID-19 cases reported and the virus active time in the examined countries. Also, environment and climatic factors play a role in modulating the infection and transmission rate with less significant influence of population density on the COVID-19.

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“…The articles sampled were processed using the NVivo software, as part of the Computer-Aided Text Analysis (CATA) process, due to its ability to process critical quantitative data with high reliability. Like research by Hasan and Dauda [11] and Gandasari and Dwidienawati [41] on the Malay and Indonesian media, respectively, NVivo is suitable to process substantial amounts of textual data and an intuitive approach in content analysis coding. The focus of Islamic journalism's reporting was quantified through the 50 most frequent keywords, aside from conjunctions and prepositions.…”

Section: Methodsmentioning

confidence: 99%

Islamic Journalism reporting of the 2019 Indonesian presidential election

Suhenda¹,

Anom²

2021

Proceedings of the 1st International Seminar on Teacher Training and Education, ISTED 2021, 17-18 July 2021, Purwokerto, Indone

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This research analyzed 50 keywords using the aid of NVIVO, sampled from two Indonesian media sites practicing Islamic journalism, to study the relationship between the focus of reporting on the 2019 Indonesian presidential election and its politically oriented journalistic roles. One of the media, voa-islam.com, has been involved in polarizing voters by their faith using an 'us and them' frame. Through content analysis, this research has quantified the political function of the media in question to be rooted in the promotion of one candidate more closely related with hardline Islamic groups; over the other. On the other hand, the more mainstream media, Republika, has proven itself more impartial and objective, although still denominating issues to an Islamic perspective for its Muslim majority audience. Consequently, this research suggests that there needs to be greater policing of journalistic frames applied in the media.

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Content analysis of social and economic issues in Indonesia during the COVID-19 pandemic

Cited by 75 publications

References 2 publications

Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media

Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media

Global Analysis of Potential COVID 19 Transmission and Enabling Factors

Islamic Journalism reporting of the 2019 Indonesian presidential election

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