scholarly journals Shifting moods on Sina Weibo: The first 12 weeks of COVID-19 in Wuhan

2021 ◽  
pp. 146144482110588
Author(s):  
Peng Zheng ◽  
Paul C Adams ◽  
Jiejie Wang
Keyword(s):  
Social Media ◽  
Social Life ◽  
Mining System ◽  
Theoretical Understanding ◽  
Policy Makers ◽  
Sina Weibo ◽  
University Of Technology ◽  
Content Mining ◽  
Novel Coronavirus ◽  
Relative Prevalence

Better understanding of social media uses in crisis situations can help improve disaster management by policy-makers, organizations, businesses, and members of the public. It can also build theoretical understanding of how social life and citizenship incorporate social media usage. This study tracks the evolution of public sentiment in Wuhan, China, during the first 12 weeks after the identification of COVID-19 on the Chinese microblogging platform Sina Weibo. Data consist of 133,079 original Sina Weibo posts dealing with the novel coronavirus. The relative prevalence of eight different emotion groups is traced longitudinally using the ROST Content Mining System and the Emotion Vocabulary of Dalian University of Technology. The study finds a progression from confusion/fear, to disappointment/frustration, to depression/anxiety, then finally to happiness/gratitude. It argues that this progression indexes the changing affective energies of digital medical citizenship, which in turn indicates the context for intervention in future crises.

scholarly journals The social life of COVID-19: Early insights from social media monitoring data collected in Poland

2020 ◽  
Vol 26 (4) ◽  
pp. 3056-3065
Author(s):  
Joanna Burzyńska ◽  
Anna Bartosiewicz ◽  
Magdalena Rękas
Keyword(s):  
Social Media ◽  
Social Life ◽  
Global Pandemic ◽  
The Social ◽  
Social Media Platforms ◽  
Social Media Monitoring ◽  
Media Monitoring ◽  
Novel Coronavirus ◽  
Online Conversation ◽  
Media Data

Research has revealed that social media data may be promising in many health threats and help to understand how people respond to them. As the outbreak of a novel coronavirus disease (COVID-19) is a global pandemic, a real-time social media monitoring is needed to know the scale of this phenomenon. We have reported the frequency, reach and impact of online mentions about the COVID-19 illness taken from social media platforms: Facebook, Instagram, Twitter, blogs, forums, and news portals to highlight and better understand the scope of coronavirus discussion in Poland. We used SentiOne social listening tool to gather the data and perform the monitoring between 24 February 2020 to 25 March 2020. We found a total of 1,415,750 mentions related to COVID-19 which gives the average 47,192 mentions per day. 95.36% (1,350,059) of mentions were people’s updates and expressions, 4.64% (65,691) mentions were articles from news portals and social media. Males have dominated the online conversation about COVID-19 (65.32% vs 34.68% females). At the same time, women were more likely to discuss the topic on social media platforms such as: Facebook, Twitter, and Instagram. We concluded with theoretical and practical implications.

Influence of social networks on business processes’ development

2020 ◽  
Vol 19 (12) ◽  
pp. 2225-2252
Author(s):  
E.V. Popov ◽  
V.L. Simonova ◽  
O.V. Komarova ◽  
S.S. Kaigorodova
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Business Models ◽  
Business Processes ◽  
Digital Economy ◽  
Theoretical Understanding ◽  
Sales Channels ◽  
A Value ◽  
The Impact

Subject. The emergence of new ways of interaction between sellers and buyers, the formation of new sales channels and product promotion based on the use of digital economy tools is at the heart of improving the business processes. Social networks became a tool for development; their rapid growth necessitates theoretical understanding and identification of potential application in enterprise's business process digitalization. Objectives. We explore the role of social media in the digitalization of business processes, systematize the impact of social networks on business processes of enterprises in the digital economy. Methods. The theoretical and methodological analysis of social networks as a tool for digitalization of company's business processes rests on the content analysis of domestic and foreign scientific studies, comparison, generalization and systematization. Results. We highlight the key effects of the impact of social networks on the business processes of the company; show that the digitalization of business processes should be considered in the context of a value-based approach, aimed at creating a value through the algorithmization of company operations. We determine that social networks are one of the most important tools for digitalization of company's business processes, as they have a high organizational and management potential. We also systematize the effects of social media on company's business processes. Conclusions. We present theoretical provisions of the impact of social networks on business processes of enterprises, which will enable to model and organize ideas about the development of digital ecosystems and the formation of business models.

scholarly journals Plurality in the Measurement of Social Media Use and Mental Health: An Exploratory Study Among Adolescents and Young Adults

2021 ◽  
Vol 7 (3) ◽  
pp. 205630512110353
Author(s):  
Diamantis Petropoulos Petalas ◽  
Elly A. Konijn ◽  
Benjamin K. Johnson ◽  
Jolanda Veldhuis ◽  
Nadia A. J. D. Bij de Vaate ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Young Adults ◽  
Media Effects ◽  
Exploratory Study ◽  
Social Life ◽  
Media Use ◽  
Quadratic Functions ◽  
Adolescents And Young Adults ◽  
Social Media Use

On a daily basis, individuals between 12 and 25 years of age engage with their mobile devices for many hours. Social Media Use (SMU) has important implications for the social life of younger individuals in particular. However, measuring SMU and its effects often poses challenges to researchers. In this exploratory study, we focus on some of these challenges, by addressing how plurality in the measurement and age-specific characteristics of SMU can influence its relationship with measures of subjective mental health (MH). We conducted a survey among a nationally representative sample of Dutch adolescents and young adults ( N = 3,669). Using these data, we show that measures of SMU show little similarity with each other, and that age-group differences underlie SMU. Similar to the small associations previously shown in social media-effects research, we also find some evidence that greater SMU associates to drops and to increases in MH. Albeit nuanced, associations between SMU and MH were found to be characterized by both linear and quadratic functions. These findings bear implications for the level of association between different measures of SMU and its theorized relationship with other dependent variables of interest in media-effects research.

scholarly journals EXPRESS: “Get a £10 Free Bet Every Week!” – Gambling Advertising on Twitter: Volume, Content, Followers, Engagement and Regulatory Compliance

2021 ◽  
pp. 074391562199967
Author(s):  
Raffaello Rossi ◽  
Agnes Nairn ◽  
Josh Smith ◽  
Christopher Inskip
Keyword(s):  
Social Media ◽  
Big Data ◽  
Content Analysis ◽  
Volume Content ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Regulatory Compliance ◽  
The Internet ◽  
Policy Recommendations ◽  
Policy Makers

The internet raises substantial challenges for policy makers in regulating gambling harm. The proliferation of gambling advertising on Twitter is one such challenge. However, the sheer scale renders it extremely hard to investigate using conventional techniques. In this paper the authors present three UK Twitter gambling advertising studies using both Big Data analytics and manual content analysis to explore the volume and content of gambling adverts, the age and engagement of followers, and compliance with UK advertising regulations. They analyse 890k organic adverts from 417 accounts along with data on 620k followers and 457k engagements (replies and retweets). They find that around 41,000 UK children follow Twitter gambling accounts, and that two-thirds of gambling advertising Tweets fail to fully comply with regulations. Adverts for eSports gambling are markedly different from those for traditional gambling (e.g. on soccer, casinos and lotteries) and appear to have strong appeal for children, with 28% of engagements with eSports gambling ads from under 16s. The authors make six policy recommendations: spotlight eSports gambling advertising; create new social-media-specific regulations; revise regulation on content appealing to children; use technology to block under-18s from seeing gambling ads; require ad-labelling of organic gambling Tweets; and deploy better enforcement.

scholarly journals The Lifestyle of Saudi Medical Students

2021 ◽  
Vol 18 (15) ◽  
pp. 7869
Author(s):  
Khalid A. Bin Abdulrahman ◽  
Ahmad M. Khalaf ◽  
Fahad B. Bin Abbas ◽  
Omran T. Alanezi
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Saudi Arabia ◽  
Medical Students ◽  
Fast Food ◽  
Social Life ◽  
Well Being ◽  
Male Students ◽  
Drinking Patterns ◽  
Cross Sectional

This study was conducted to investigate medical students’ lifestyle habits, including sleep quality, eating and drinking patterns, physical activity, and social status. Method: This research project is part two of a multi-institutional cross-sectional observational study conducted among medical students from six medical colleges in Saudi Arabia between September and December 2019. Results: 675 medical students were enrolled electively into the lifestyle study. About half of this number were male students and the majority were aged 18–24 years. Most students (87.6%) slept between 4–8 h a day and over 44% were dissatisfied with their sleep. Only 28.1% had three meals a day; about 40% of them usually or always skipped breakfast. A total of 44% usually or always ate fast food and 44.7% drank 2 L of water per day. Moreover, male students were significantly consuming more fast food than females, p < 0.001. The majority (63.3%) revealed they usually or always drink black coffee daily. Females were significantly more inclined to regular coffee consumption than males, p < 0.001. Only 4.3% exercised for 30 min or more daily. The majority (65%) of the students were introverted; they had few close friends. Yet, 81% were somewhat satisfied or satisfied with their social life. Male students were significantly more satisfied with their social life than females, p = 0.001. Only 4.6% smoked cigarettes daily whereas 7.1% smoked e-cigarettes daily. In contrast, only 0.3% used shisha (hookah) daily. Male medical students were substantially more inclined to e-cigarette use than females (p < 0.001). The top five leisure activities of a medical student were surfing social media (75.9%), watching movies (61.3%), hanging out with friends (58.1%), spending time with their family (55.4%), and browsing the Internet (53.6%). Female medical students were significantly more inclined to surf social media than male medical students, p = 0.022; also, watching movies was preferred for females compared to males, p = 0.006. Conclusion: This study revealed that the majority of these medical students in Saudi Arabia exhibited healthy lifestyles to some extent, and these health-promoting behaviors differed based on sex, especially concerning physical activity and eating patterns. The findings of this study provide relevant information for future actions that will be geared towards effectively decreasing the occurrence of chronic illnesses and improving future doctors’ well-being.

Gratifications for using social media

2016 ◽  
Vol 34 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Chunmei Gan
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Data Analysis ◽  
University Students ◽  
Factor Structure ◽  
T Test ◽  
Sina Weibo ◽  
Chinese University ◽  
Valid Data ◽  
Paired T Test

The purpose of this paper is to examine the general and specific gratifications that drive users’ choice of different social media. Sina Weibo and WeChat in China were selected for the current study. Two separate empirical surveys were conducted and 368 valid data were collected from Chinese university students experienced in using Sina Weibo or WeChat. Exploratory factor analysis, paired t test and independent-samples t test were employed for data analysis. The results identify four general gratifications for using different social media: hedonic gratification, affection gratification, information gratification and social gratification. In addition, factor structure of information gratification is different for different social media. Furthermore, the strength of each gratification differs to varying degrees across the use of different social media. Information gratification plays the most salient role in using Sina Weibo, whereas affection gratification is the most important motive for the use of WeChat. Also, the use of Sina Weibo can better fulfill individuals’ information and hedonic gratifications, while individuals prefer to use WeChat for achieving gratifications of social and affection.

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