Twitter Usage in Indonesia

Carley, Kathleen M.; Malik, Momin M.; Kowalchuck, Mike; Landwehr, Peter M.

doi:10.2139/ssrn.2720332

Cited by 32 publications

(19 citation statements)

References 56 publications

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“…The current study revealed that in our population, Twitter were correlated to higher odds of IA. This result could be explained by the fact that Indonesia has an enormous active Twitter userbase ( 55 ). In the current pandemic, Indonesia was also the second-highest based on the number of posts regarding COVID-19 topic on Twitter among Asia-Pacific countries ( 56 ).…”

Section: Discussionmentioning

confidence: 99%

The Impact of Physical Distancing and Associated Factors Towards Internet Addiction Among Adults in Indonesia During COVID-19 Pandemic: A Nationwide Web-Based Study

et al. 2020

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Introduction Physical distancing has encouraged the public to utilize the Internet for virtually all daily activities during the COVID-19 pandemic. This study aimed to assess the impact of COVID-19 on Internet addiction (IA) prevalence and analyzed the correlated factors during quarantine and pandemic. Methods An online survey was generated, comprising of a sociodemographic section, Internet Addiction Diagnostic Questionnaire (KDAI), Symptoms Checklist-90, and Pittsburgh Sleep Quality Index. The hyperlink was disseminated through social media, companies, and universities. Overall, 4,734 adults, (mean age 31.84 ± 7.73 years old and 55.2% males) representing all 34 provinces of Indonesia, gave valid responses. Results Point prevalence of IA during the COVID-19 pandemic was 14.4% in Indonesian adults. Online duration increased by 52% compared to before the pandemic. Physical distancing was not established as a risk of IA. Increased daily online duration, specific motivations, types of application, and having confirmed/suspected COVID-19 cases within the household were predictive of IA. All subscales of SCL-90 and PSQI were higher in the group with positive/suspect cases of COVID-19 within households and were correlated to higher scores of IA. Discussion Physical distancing alone was not associated with an increased risk of IA. The prevalence of IA during COVID-19 was higher than the previously proposed rate among Indonesian adults, which might be related to digital activities associated with COVID-19 and the popularity of virtual socializing. Furthermore, psychopathologies and sleep disruptions were related to IA occurrences and especially prevalent in groups with proximity to COVID-19. Fear of COVID-19 contraction and rampant misinformation of COVID-19 probably contributed to these factors, which potentially harbor long-term consequences. Conclusion The current study demonstrated a high point prevalence of IA and identified several preventable factors predictive of IA during home-quarantine and COVID-19, especially in adults with confirmed/suspected COVID-19 cases within the household. However, physical distancing did not increase the odds of IA. Public health agencies should maintain physical distancing advisory while providing adaptive psychiatric education and service.

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Section: Discussionmentioning

confidence: 99%

The Impact of Physical Distancing and Associated Factors Towards Internet Addiction Among Adults in Indonesia During COVID-19 Pandemic: A Nationwide Web-Based Study

et al. 2020

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“…With simple features, short, and interactive comments, Twitter attracts many users to join in their network. In 2010, Indonesia categorized as the highest Twitter penetration, and ranked as the most tweeting country in 2014 [13]. This is due to the fact that, there are many cases convicted unprecedented numbers of citizens in Indonesia who interacting in the cyberspace.…”

Section: Literature Reviewmentioning

confidence: 99%

Text Mining of UU-ITE Implementation in Indonesia

Hakim

Kusumasari

Lubis

2018

J. Phys.: Conf. Ser.

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Abstract.At present, social med ia and networks act as one of the main platforms for sharing informat ion, idea, thought and opinions. Many people share their knowledge and express their views on the specific topics or current hot issues that interest them. The social media texts have rich information about the complaints, comments, recommendation and suggestion as the automatic react ion or respond to government in itiat ive or policy in order to overco me certain issues.This study examines the sentiment fro m netizensas part of citizen who has vocal sound about the imp lementation of UU ITE as the first cyberlaw in Indonesia as a means to identify the current tendency of citizen perception. To perform text min ing techniques, this study used Twitter Rest API while R programming was utilized for the purpose of classification analysis based on hierarchical cluster.

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“…Since people who live closer to a hotspot will be affected by haze than ones who live farther, we use a simple model that considers the distance from tweets to their nearest hotspot and analyse the corresponding or nearest hotspot of each tweet. Let us say that, given a hotspot h, its popularity 12 Mark Kibanov et al Figure 5 shows the frequency of popularity(H') where H' is a set of hotspots satisfying popularity(h) ≥ 1.The figure shows that (a) there are highly referenced hotspots from haze-general and haze-hashtag, such as 700-800 tweets per hotspot in some instances, while many other hotspots are referred to by only a small number of tweets from the two datasets, and (b) haze-impact and haze-health do not display as skewed distributions as the other two datasets but they still contain such characteristics.…”

Section: Spatial Characteristics Of Different Topical Conversationsmentioning

confidence: 99%

Mining social media to inform peatland fire and haze disaster management

Kibanov

Stumme

Amin³

et al. 2017

Soc. Netw. Anal. Min.

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Peatland fires and haze events are disasters with national, regional, and international implications. The phenomena lead to direct damage to local assets, as well as broader economic and environmental losses. Satellite imagery is still the main and often the only available source of information for disaster management. In this article, we test the potential of social media to assist disaster management. To this end, we compare insights from two datasets: fire hotspots detected via NASA satellite imagery and almost all GPS-stamped tweets from Sumatra Island, Indonesia, posted during 2014. Sumatra Island is chosen as it regularly experiences a significant number of haze events, which affect citizens in Indonesia as well as in nearby countries including Malaysia and Singapore. We analyse temporal correlations between the datasets and their geo-spatial interdependence. Furthermore, we show how Twitter data reveals changes in users' behavior during severe haze events. Overall, we demonstrate that social media are a valuable source of complementary and supplementary information for haze disaster management. Based on our methodology and findings, an analytics tool to improve peatland fire and haze disaster management by the Indonesian authorities is under development.2 Mark Kibanov et al.

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Twitter Usage in Indonesia

Cited by 32 publications

References 56 publications

The Impact of Physical Distancing and Associated Factors Towards Internet Addiction Among Adults in Indonesia During COVID-19 Pandemic: A Nationwide Web-Based Study

The Impact of Physical Distancing and Associated Factors Towards Internet Addiction Among Adults in Indonesia During COVID-19 Pandemic: A Nationwide Web-Based Study

Text Mining of UU-ITE Implementation in Indonesia

Mining social media to inform peatland fire and haze disaster management

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