Ekstravert, Keterbukaan, dan Aktivisme Digital Prokes Di Instagram

Penelitian ini bertujuan untuk mengetahui hubungan antara kepribadian ekstravert dan terbuka dengan hal-hal baru dengan partisipasi mahasiswa dalam aktivisme protokol kesehatan COVID-19 di media sosial Instagram. Subjek penelitian ini adalah 284 mahasiswa perguruan tinggi di Indonesia pengguna Instagram (253 perempuan, 24 laki-laki, dan 7 tidak teridentifikasi) dengan rentang usia 18-24 tahun menggunakan teknik accidental sampling. Penelitian ini menggunakan metode survei dengan pendekatakan korelasional dan teknik pengumpulan data melalui kuesioner daring google form. Kepribadian dan partisipasi dalam aktivisme digital diukur dengan skala Big 5 Personality Traits dan perilaku aktivisme daring. Hasil analisis menunjukkan bahwa terdapat hubungan positif antara kepribadian ekstravert dengan partisipasi dalam aktivisme digital protokol kesehatan dengan nilai r=0,171 dan p=0,004 (p<0,05). Selain itu, terdapat hubungan positif antara kepribadian terbuka dengan hal-hal baru dengan partisipasi dalam aktivisme digital dengan nilai r=0,186 dan p=0,002 (p<0,05). Hal ini menunjukkan bahwa semakin tinggi ekstravert dan keterbukaan dengan hal-hal baru individu, maka semakin tinggi kemungkinan individu tersebut untuk berpartisipasi dalam aktivisme protokol kesehatan COVID-19 di media sosial Instagram. Penelitian ini merupakan masukan bagi pelaku kampanye sehingga pesan dapat lebih tepat sasaran. &nbsp

Crime and Social media

Purpose-The study complements the scant macroeconomic literature on the development outcomes of social media by examining the relationship between Facebook penetration and violent crime levels in a cross-section of 148 countries for the year 2012. Design/methodology/approach-The empirical evidence is based on Ordinary Least Squares (OLS), Tobit and Quantile regressions. In order to respond to policy concerns on the limited evidence on the consequences of social media in developing countries, the dataset is disaggregated into regions and income levels. The decomposition by income levels included: low income, lower middle income, upper middle income and high income. The corresponding regions include: Europe and Central Asia, East Asia and the Pacific, Middle East and North Africa, Sub-Saharan Africa and Latin America. Findings-From OLS and Tobit regressions, there is a negative relationship between Facebook penetration and crime. However, Quantile regressions reveal that the established negative relationship is noticeable exclusively in the 90th crime decile. Further, when the dataset is decomposed into regions and income levels, the negative relationship is evident in the Middle East and North Africa (MENA) while a positive relationship is confirmed for sub-Saharan Africa. Policy implications are discussed. Originality/value- Studies on the development outcomes of social media are sparse because of a lack of reliable macroeconomic data on social media. This study primarily complemented three existing studies that have leveraged on a newly available dataset on Facebook

#BlackLivesMatter and Racism in Life Expectancy, Poverty, Educational Attainment, and Race Compositions: State Analysis of 2020 Tweets in the USA

The year 2020 was a challenging year known mainly as the pandemic year. However, the notable event of George Floyd's killing broke many humans' hearts and made them protest on social media and the streets as well. In this research, we studied the hashtag "BlackLivesMatter," and some of its adversary contentions regarding George Floyd's demise in 2020 on Twitter. Based on the extensive aftermath of protests in the United States, we considered an area analysis to compare tweet rates in different groups to some previously studied statistics. The purpose is to investigate how racism content is correlated with life expectancy, poverty, and education. Findings revealed a significant relationship between online color-based contents and some physical world indicators

J Adolesc Health

Purpose:Rates of suicide are increasing rapidly among youth. Social media messages and online games promoting suicide are a concern for parents and clinicians. We examined the timing and location of social media posts about one alleged youth suicide game to better understand the degree to which social media data can provide earlier public health awareness.Methods:We conducted a search of all public social media posts and news articles on the Blue Whale Challenge (BWC), an alleged suicide game, from January 1, 2013, through June 30, 2017. Data were retrieved through multiple keyword search; sources included social media platforms Twitter, YouTube, Reddit, Tumblr, as well as blogs, forums, and news articles. Posts were classified into three categories: individual \u201cpro\u201d-BWC posts (support for game), individual \u201canti\u201d-BWC posts (opposition to game), and media reports. Timing and location of posts were assessed.Results:Overall, 95,555 social media posts and articles about the BWC were collected. In total, over one-quarter (28.3%) were \u201cpro\u201d-BWC. The first U.S. news article related to the BWC was published approximately 4 months after the first English language U.S. social media post about the BWC and 9 months after the first U.S. social media post in any language. By the close of the study period, \u201cpro\u201d-BWC posts had spread to 127 countries.Conclusions:Novel online risks to mental health, such as prosuicide games or messages, can spread rapidly and globally. Better understanding social media and Web data may allow for detection of such threats earlier than is currently possible.CC999999/ImCDC/Intramural CDC HHS/United States2020-07-01T00:00:00Z30819581PMC71646767915vault:3530

Mental health care services in rural South Africa: A human capabilities approach

It is estimated that a significant proportion of people living in South Africa have a mental illness and do not have access to mental health services. This relates to barriers that contribute to help-seeking behavior. Semi-structured interviewers were conducted with a sample of 11 stakeholders and 35 parents. Data were thematically analyzed and results revealed that participants had limited knowledge of what mental health is. Also highlighted was the lack of structural and human mental health care resources, and stigmatization. Addressing the issues related to mental health care services could contribute to ensuring that people have access to good health

A data-driven social network intervention for improving organ donation awareness among minorities: analysis and optimization of a cross-sectional study

This is the author accepted manuscriptBACKGROUND: Increasing the number of organ donors may enhance organ transplantation, and past health interventions have shown the potential to generate both large-scale and sustainable changes, particularly among minorities. OBJECTIVE: This study aimed to propose a conceptual data-driven framework that tracks digital markers of public organ donation awareness using Twitter and delivers an optimized social network intervention (SNI) to targeted audiences using Facebook. METHODS: We monitored digital markers of organ donation awareness across the United States over a 1-year period using Twitter and examined their association with organ donation registration. We delivered this SNI on Facebook with and without optimized awareness content (ie, educational content with a weblink to an online donor registration website) to low-income Hispanics in Los Angeles over a 1-month period and measured the daily number of impressions (ie, exposure to information) and clicks (ie, engagement) among the target audience. RESULTS: Digital markers of organ donation awareness on Twitter are associated with donation registration (beta=.0032; P<.001) such that 10 additional organ-related tweets are associated with a 3.20% (33,933/1,060,403) increase in the number of organ donor registrations at the city level. In addition, our SNI on Facebook effectively reached 1 million users, and the use of optimization significantly increased the rate of clicks per impression (beta=.0213; P<.004). CONCLUSIONS: Our framework can provide a real-time characterization of organ donation awareness while effectively delivering tailored interventions to minority communities. It can complement past approaches to create large-scale, sustainable interventions that are capable of raising awareness and effectively mitigate disparities in organ donation.Rosenfeld Heart Foundatio

Maternal mental health monitoring in an online community: a natural language processing approach

Digital maternity support communities are increasingly popular. The communities are often based on discussion forums called ‘birth clubs’, to which users are assigned according to their estimated due months. Distinguishing between support-seeking and non-support-seeking posts submitted to these ‘birth clubs’ is a crucial first step for monitoring maternal mental health. This study utilised natural language processing (NLP) techniques on 52,558 posts collected from one of the largest online maternity communities in China, employing machine learning algorithms trained for post classification with a randomly selected and manually labelled subset of 3000 posts. The results validated the properties of information similarity and time sensitivity within the post data, and demonstrated the feasibility of employing simple algorithms and small training sets for effective maternal mental health monitoring

Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data

Background: Infectious disease outbreaks have the potential to cause a high number of fatalities and are a very serious public health risk. Objectives: Our aim was to utilise an indepth method to study a period of time where the H1N1 Pandemic of 2009 was at its peak. Methods: A data set of n = 214 784 tweets was retrieved and filtered, and the method of thematic analysis was used to analyse the data. Results: Eight key themes emerged from the analysis of data: emotion and feeling, health related information, general commentary and resources, media and health organisations, politics, country of origin, food, and humour and/or sarcasm. Discussion: A major novel finding was that due to the name 'swine flu', Twitter users had the belief that pigs and pork could host and/or transmit the virus. Our paper also considered the methodological implications for the wider field of library and information science as well as specific implications for health information and library workers. Conclusions: Novel insights were derived on how users communicate about disease outbreaks on social media platforms. Our study also provides an innovative methodological contribution because it was found that by utilising an indepth method it was possible to extract greater insight into user communication