This dataset was generated as part of a research project titled "Exploring Social Media Research Trends in Malaysia Using Bibliometric Analysis and Topic Modelling." It contains 18 entries, each representing a distinct topic identified through topic modelling. The dataset includes the following key components:

Topic: A numerical identifier assigned to each topic. Count: The number of documents associated with each topic. Name: A descriptive label for each topic, highlighting the key terms. Representation: A list of the most representative keywords for each topic. Representative_Docs: Sample abstracts that best represent the content of each topic. Themes: GPT generated themes based on the abstracts associated within each topic Summary: GPT summarisation to provide insights into the significance and context of each topic

This dataset is integral to analysing and understanding the evolving research focus on social media within the Malaysian context.

The wos.bib file is a bibliographic data file that contains references exported from Web Of Science (WoS) database in BibTeX Format. This file includes detailed citation for academic articles such as authors, titles, abstract, publication year, journal name, volume, issue, page numbers and digital object identifiers.

The number of internet users in Malaysia was forecast to continuously increase between 2024 and 2029 by in total two million users (+5.74 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 36.82 million users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find further information concerning Singapore and Thailand.

This data set contains data on Malaysians’ health status, internet and social media usage, mental health and protective behaviors during the COVID-19 Pandemic.

This is a processed social media dataset (data has gone through several pre-processing steps) used to analyze the sentiment of Malaysians during COVID-19. The data was collected manually using X (formerly Twitter) Advanced Search Function. Most of the texts are written using multiple languages: Malay and English. This dataset is only a portion of the original data used to evaluate M-RuleScore and MySentScore sentiment analysis algorithms.

The population share with internet access in Malaysia was forecast to remain on a similar level in 2029 as compared to 2024 with 98 percent. According to this forecast, the internet penetration will stay nearly the same over the forecast period. Notably, the population share with internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via any means. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find further information concerning Singapore and Thailand.

A dataset comprises the respondents feedback based on the questionnaire distributed through social media platform in examine the determinants that affect the adoption of E-wallet in Malaysia during the Covid-19 pandemic.

BackgroundGlobally, 390 million dengue virus infections occur per year. In Malaysia, migrant workers are particularly vulnerable to dengue fever (DF) due to mosquito breeding sites exposure and poor health literacy. Therefore, this study aimed to (i) assess the current DF knowledge, attitudes and practices (KAP), and (ii) identify strategies to promote DF awareness, among migrant workers in Klang Valley.MethodA survey was conducted with 403 Nepali, Filipino and Indonesian migrant workers through phone interviews and online self-administered questionnaires. Piecewise structural equation modelling was applied to identify predictor variables for DF KAP.ResultsMost respondents were male, working in the services industry, had completed high school, aged between 30–39 years and with less than ten years work experience in Malaysia. Overall, respondents’ knowledge was positively correlated with attitude but negatively with practices. Older respondents, who had completed higher education, obtained higher knowledge scores. Similarly, those with working experience of >20 years in Malaysia obtained higher attitude scores. Respondents with a previous history of DF strongly considered the removal of mosquito breeding sites as their own responsibility, hence tended to frequently practise DF preventive measures. Respondents’ knowledge was also positively correlated to their understanding of DF information sourced from social media platforms.ConclusionThese findings highlighted: (i) the need for targeted DF educational intervention among younger and newly arrived workers with lower levels of education and (ii) maximising the usage of social media platforms to improve DF public awareness.

Data on Malaysia COVID-19 (coronavirus) vaccinations

All data are collected from JKJAV Social Media and updated daily.

Population Data

The population data are calculated from the daily registration infographic percentage, and rounded to the nearest number.

Registered Data

The registered data consists of daily registered data, starting 7 March 2021.

Vaccination Data

The vaccination data consists of daily vaccination data, starting 3 March 2021. Every states has two column, namely `dose1_

High blood pressure is a worldwide problem and major global health burden. Whether alone or combined with other metabolic diseases, high blood pressure increases the risk of cardiovascular disease. This study is a secondary data analysis from the National Health and Morbidity Survey 2015, a population-based study that was conducted nationwide in Malaysia using a multi-stage stratified cluster sampling design. A total of 15,738 adults ≥18-years-old were recruited into the study, which reports the prevalence of hypertension stages among adults in Malaysia using the JNC7 criteria and determinants of its severity. The overall prevalence of raised blood pressure was 66.8%, with 45.8% having prehypertension, 15.1% having Stage 1 hypertension, and 5.9% having Stage 2 hypertension. In the multivariate analysis, a higher likelihood of having prehypertension was observed among respondents with advancing age, males (OR = 2.74, 95% CI: 2.41–3.12), Malay ethnicity (OR = 1.21, 95% CI: 1.02–1.44), lower socioeconomic status, and excessive weight. The factors associated with clinical hypertension (Stages 1 and 2) were older age, rural residency (Stage 1 OR = 1.22, Stage 2 OR = 1.28), Malay ethnicity (Stage 2 OR = 1.64), diabetes (Stage 2 OR = 1.47), hypercholesterolemia (Stage 1 OR = 1.34, Stage 2 OR = 1.82), being overweight (Stage 1 OR = 2.86, Stage 2 OR = 3.44), obesity (Stage 1 OR = 9.01, Stage 2 OR = 13.72), and lower socioeconomic status. Almost 70% of Malaysian adults are at a risk of elevated blood pressure. The highest prevalence was in the prehypertension group, which clearly predicts a future incurable burden of the disease. Public health awareness, campaigns through mass and social media, and intervention in the work place should be a priority to control this epidemic.

The data recorded the consumers' perception and attitude towards online food delivery services (OFDS) among Malaysians during and post COVID-19 pandemic. A primary dataset of 307 respondents was collected. The questionnaire was adopted from previous studies and responses were collected through an online survey and invitation through email and social media over 4 weeks from March 2021 to April 2021. It studies the influences of convenience motivation, perceived ease of use, time-saving orientation and price-saving orientation on the attitude and behavioural intention towards using OFDS continuingly after the pandemic

According to a survey on e-commerce and online shopping in Malaysia, as of January 2023, around ** percent of the respondents indicated they relied on websites' reviews as their main source of information when buying products online. Meanwhile, social media outlets came second with around ** percent share of the survey participants.