scholarly journals Tracking private WhatsApp discourse about COVID-19: A longitudinal infodemiology study in Singapore (Preprint)

2021 ◽  
Author(s):  
Edina YQ Tan ◽  
Russell RE Wee ◽  
Young Ern Saw ◽  
Kylie JQ Heng ◽  
Joseph WE Chin ◽  
...  
Keyword(s):  
Social Media ◽  
Risk Communication ◽  
Sampling Method ◽  
Communication Strategies ◽  
Experience Sampling Method ◽  
High Volume ◽  
Well Being ◽  
Usage Patterns ◽  
Social Media Platforms ◽  
Data Points

BACKGROUND Worldwide, social media traffic increased following the onset of the coronavirus disease (COVID-19) pandemic. Although the spread of COVID-19 content has been described for several social media platforms (e.g., Twitter, Facebook), little is known about how content is spread via private messaging platforms such as WhatsApp. OBJECTIVE In this study, we documented: (i) how WhatsApp is used to transmit COVID-19 content; (ii) the characteristics of WhatsApp users based on their usage patterns; and(iii) how usage patterns link to well-being. METHODS We used the experience sampling method to track day-to-day WhatsApp usage during the COVID-19 pandemic. For one week, participants reported each day the extent to which they had received, forwarded, or discussed COVID-19 content. The final dataset comprised of 924 data points collected from 151 participants. RESULTS During the week-long monitoring, most participants (143/151, 95%) reported at least one COVID-19-related use of WhatsApp. When a taxonomy was generated based on usage patterns, 1 in 10 participants (21/151, 14%) were found to have received and shared a high volume of forwarded COVID-19 content – akin to ‘super spreaders’ identified on other social media platforms. Finally, those who engaged with more COVID-19 content in their personal chats were more likely to report having COVID-19 thoughts throughout the day. CONCLUSIONS These findings provide a rare window into discourse on private messenger platforms. In turn, this can inform risk communication strategies during the pandemic. CLINICALTRIAL ClinicalTrials.gov NCT04367363

scholarly journals Tracking WhatsApp behaviors during a crisis: A longitudinal observation of messaging activities during the COVID-19 pandemic

2020 ◽  
Author(s):  
Edina YQ Tan ◽  
Russell RE Wee ◽  
Young Ern Saw ◽  
Kylie JQ Heng ◽  
Joseph WE Chin ◽  
...  
Keyword(s):  
Risk Communication ◽  
Case Studies ◽  
Large Scale ◽  
Sampling Method ◽  
High Volume ◽  
Well Being ◽  
Policy Makers ◽  
Related Information ◽  
Longitudinal Observation ◽  
Usage Patterns

During a crisis, the messaging platform WhatsApp allows crisis-related information to be disseminated quickly. Although case studies have documented how WhatsApp has shaped crisis outcomes in both beneficial and harmful ways, little is known about: (i) how crisis-related content is spread; (ii) characteristics of users based on usage patterns; or (iii) how usage patterns link to well-being. During the coronavirus disease 2019 (COVID-19) crisis, this study used the experience sampling method to track the daily WhatsApp usage of 151 adults throughout one week (capturing a total of 924 days of crisis-related communication). Each day, participants reported the extent to which they had received, forwarded, or discussed COVID-19- related content. During the week-long monitoring, most participants (94.7%) reported at least one COVID-19 related use of WhatsApp. Those who engaged with more COVID-19 content in personal chats were more likely to report having COVID-19 thoughts throughout the day. We further observed that around 1 in 10 individuals (14%) were chronic users who received and shared forwarded COVID-19 messages at a high volume; this group may represent everyday "super spreaders" of crisis-related content. Together, these findings provide an empirical base for policy makers to manage risk communication during large-scale crises.

The effects of social media usage on loneliness and well-being: analysing friendship connections of Facebook, Twitter and Instagram

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shaoyu Ye ◽  
Kevin K.W. Ho ◽  
Andre Zerbe
Keyword(s):  
Social Media ◽  
University Students ◽  
Design Methodology ◽  
Well Being ◽  
Self Report ◽  
Access Time ◽  
Content Type ◽  
Media Usage ◽  
Usage Patterns ◽  
Social Media Platforms

Purpose This study aims to clarify the effects of different patterns of Facebook, Twitter and Instagram usage on user loneliness and well-being in Japan. Design/methodology/approach Based on responses to a self-report questionnaire in Japan, 155 university students were separated into 4 groups: users of Twitter only, users of Twitter and Facebook, users of Twitter and Instagram and users of all three social media. The effects of social media usage on loneliness and well-being for each group were analysed. Findings No social media usage effects on loneliness or well-being were detected for those who used only Twitter or both Twitter and Instagram. For those using both Twitter and Facebook, loneliness was reduced when users accessed Twitter and Facebook more frequently but was increased when they posted more tweets. Users of all three social media were lonelier and had lower levels of well-being when they accessed Facebook via PC longer; whereas their their access time of Facebook via smartphones helped them decrease loneliness and improve their levels of well-being. Originality/value The findings reported here provide possible explanations for the conflicting results reported in previous research by exploring why users choose different social media platforms to communicate with different groups of friends or acquaintances and different usage patterns that affect their loneliness and well-being.

Revolutionizing Mental Health with Social Media

2019 ◽  
pp. 259-284
Author(s):  
Munmun De Choudhury
Keyword(s):  
Social Media ◽  
Well Being ◽  
Linguistic Expression ◽  
Ethical Considerations ◽  
Self Disclosure ◽  
Vulnerable Communities ◽  
Tailored Interventions ◽  
Challenges And Opportunities ◽  
Social Media Platforms

Social media platforms have emerged as rich repositories of information relating to people’s activities, emotions, and linguistic expression. This chapter highlights how these data may be harnessed to reason about human mental and psychological well-being. It also discusses the emergent role of social media in providing a platform of self-disclosure and support to distressed and vulnerable communities. It reflects on how this new line of research bears potential for informing the design of timely and tailored interventions, provisions for improved personal and societal well-being assessment, privacy and ethical considerations, and the challenges and opportunities of the increasing ubiquity of social media.

Social Media and Emotional Well-being: Pursuit of Happiness or Pleasure

2021 ◽  
pp. 1326365X2110037
Author(s):  
D. Guna Graciyal ◽  
Deepa Viswam
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Virtual World ◽  
Mixed Methods Research ◽  
Well Being ◽  
Pursuit Of Happiness ◽  
Social Dysfunction ◽  
Combining Data ◽  
Social Media Platforms ◽  
Depth Interviews

Virtual engagement of lives has been made possible with the advent of social media. Almost 80% of the day are spent virtually on Facebook, Instagram, Twitter, YouTube, Snapchat, etc. Usage of social media to connect to and communicate with the ones we care about is always healthy, termed as social networking. Social dysfunction occurs when the constant communication leads to the point where our real or offline life gets replaced by virtual or online life. There is a slight boundary between social networking and social dysfunction. When social networking is advantageous, social dysfunction affects emotional well-being. When emotional well-being is affected, many users experience a compulsion to dissociate from the real world as they find virtual world, full of fantasy and enjoyment. When the Internet was created, perhaps no one was aware of its potential. More than the convenience for sharing of information it has brought the world so close to crumbling the geographical boundaries. The more people-to-people communication is, the more is the strengthening of relationships, bonds grow stronger with ‘more’ social media platforms. Being on ‘more’ social media platforms has become a benchmark for living amidst the younger generation. Either as an activity of happiness or as an activity of pleasure, users tend to use social media at varying levels. This paper aims to conceptualize the the intricacies of social media in young lives and to discern whether their association is happiness or pleasure activity. The research method of this paper has a mixed-methods research design combining data from structured survey with information outputs from in-depth interviews.

scholarly journals Embed2Detect: temporally clustered embedded words for event detection in social media

2021 ◽  
Author(s):  
Hansi Hettiarachchi ◽  
Mariam Adedoyin-Olowe ◽  
Jagdev Bhogal ◽  
Mohamed Medhat Gaber
Keyword(s):  
Social Media ◽  
Event Detection ◽  
High Volume ◽  
Detection Methods ◽  
Word Embeddings ◽  
Agglomerative Clustering ◽  
Data Set ◽  
Social Media Data ◽  
Social Media Platforms ◽  
Media Data

AbstractSocial media is becoming a primary medium to discuss what is happening around the world. Therefore, the data generated by social media platforms contain rich information which describes the ongoing events. Further, the timeliness associated with these data is capable of facilitating immediate insights. However, considering the dynamic nature and high volume of data production in social media data streams, it is impractical to filter the events manually and therefore, automated event detection mechanisms are invaluable to the community. Apart from a few notable exceptions, most previous research on automated event detection have focused only on statistical and syntactical features in data and lacked the involvement of underlying semantics which are important for effective information retrieval from text since they represent the connections between words and their meanings. In this paper, we propose a novel method termed Embed2Detect for event detection in social media by combining the characteristics in word embeddings and hierarchical agglomerative clustering. The adoption of word embeddings gives Embed2Detect the capability to incorporate powerful semantical features into event detection and overcome a major limitation inherent in previous approaches. We experimented our method on two recent real social media data sets which represent the sports and political domain and also compared the results to several state-of-the-art methods. The obtained results show that Embed2Detect is capable of effective and efficient event detection and it outperforms the recent event detection methods. For the sports data set, Embed2Detect achieved 27% higher F-measure than the best-performed baseline and for the political data set, it was an increase of 29%.

Older adults’ philanthropic crafting of face masks during COVID-19

2021 ◽  
Vol 12 (2) ◽  
pp. 223-245 ◽  
Author(s):  
Christine Guy Schnittka
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Social Media ◽  
Virtual Community ◽  
Well Being ◽  
Moral Values ◽  
Lessons Learned ◽  
Front Line ◽  
Social Media Platforms ◽  
Front Line Workers

During the early months of the COVID-19 pandemic, people of all ages began sewing fabric face masks. Organized through separate grassroots movements, oftentimes using social media platforms, people pooled their resources to make masks for front line workers and others in desperate need. While some people sold these face masks, many participated in philanthropic crafting, donating them to hospitals and other health care centres. Older adults were identified early on as being particularly vulnerable to the effects of the virus, and so their response to mitigate the impacts of the pandemic through crafting was salient. This study investigated the experience of philanthropic hand crafting by older adults who were living through the COVID-19 pandemic. Twenty-seven older adults of age 60–87 who sewed masks for others were interviewed. A comprehensive data analysis of these interviews yielded 39 descriptive codes that were collapsed into eight themes: emotions, engagement, meaning, relationships, accomplishment, intellect, moral values and agency. One finding was that there were psychological, relational and existential benefits for the crafters. Making masks allowed participants to help other people, and it gave the participants a feeling of value, worthiness and purpose. Additionally, participants felt more in control in a chaotic world as they made masks to protect themselves, their loved ones, as well as strangers. The philanthropic crafting enhanced older adults’ well-being in many ways, and lessons learned from this study could be extended into ‘normal times’. For example, more older adults would be able to participate in craft-based philanthropy if they had access to the tools and materials. They would be more motivated if they received thank you notes and pictures of the recipients using their handmade gifts, and if they could express their creativity more. Finally, creating a physical or virtual community for older adults around craft philanthropy would help older adults feel more connected to and supported by their peers, and the community at large.

scholarly journals Multi-Platform Social Media Use: Little Evidence of Impacts on Adult Well-Being

2020 ◽  
Author(s):  
Sophie Lohmann ◽  
Emilio Zagheni
Keyword(s):  
Social Media ◽  
Media Use ◽  
Scientific Evidence ◽  
General Social Survey ◽  
Well Being ◽  
Young Female ◽  
Social Media Use ◽  
Social Media Platforms ◽  
Data Source ◽  
Using Data

Social media have become a near-ubiquitous part of our lives. The growing concern that their use may alter our well-being has been met with elusive scientific evidence. Existing literature often simplifies social media use as a homogeneous process. In reality, social media use and functions vary widely depending on platform and demographic characteristics of users, and there may be qualitative differences between using few versus many different social media platforms. Using data from the General Social Survey, an underanalyzed data source for this purpose, we characterize intensive social media users and examine how differential platform use impacts well-being. We document substantial heterogeneity in the demography of users and show that intensive users tend to be young, female, more likely to be Black than Hispanic, from high SES backgrounds, from more religious backgrounds, and from families with migration background, compared to both non-users and moderate users. The intensity of social media use seemed largely unrelated to well-being in both unadjusted models and in propensity-score models that adjusted for selection bias and demographic factors. Among middle-aged and older adults, however, intensive social media use may be slightly associated with depressive symptoms. Our findings indicate that although mediums of communication have changed with the advent of social media, these new mediums are not necessarily detrimental to well-being.

scholarly journals How changing API terms changed Instagram's domain? A bibliometric analysis

2021 ◽  
Author(s):  
Richard Hartman ◽  
Tereza Simova
Keyword(s):  
Social Media ◽  
Well Being ◽  
Body Image Dissatisfaction ◽  
Research Area ◽  
Before And After ◽  
Social Media Platforms ◽  
Application Programming ◽  
Key Topics ◽  
Media Research ◽  
Social Media Research

In 2018 Facebook blocked a public Application Programming Interfaces (API) that could be used to download data from Facebook and Instagram. Much uncertainty still exists about the effect on social media research due to changes in Instagram API conditions. The presented paper provides an overview of the Instagram domain in terms of a research area. The main focus of this research is on the comparison of the key topics before and after the change of the Instagram API terms (comparing Instagram's research domain before and after 2018). A partial goal was to find out how the change in the conditions of the Instagram API has changed the number of social media research itself. We used a bibliometric approach to map the domain of Instagram. The paper has identified key topics in the domain of Instagram. Between the years 2010 and 2018 the key topics were gender, behavior on social media, dissemination of information, and platform selection. After the change of Instagram API conditions, after 2018, the key topics were gratifications, body image, dissatisfaction, and basic Instagram topics. The paper has found that generally, there was no change in research topics, nor the number of papers published after the Instagram API condition. Further study should focus on establish the relationships between Instagram use and psychological well-being; investigate the motives for Instagram use a study the effect of Instagram API on research with the use of different methods; gaining a better understanding of social media consumer activity; establish whatever our key topics are relevant to other social media platforms (Facebook, Twitter or Tiktok); study Instagram domain on different citation databases (e.g., in Scopus). This paper has also raised important questions about whether the Instagram API should be or should not be open for research purposes.

Evolving In Step or Poles Apart?

2015 ◽  
pp. 1307-1330
Author(s):  
Karolina Koc-Michalska ◽  
Darren G. Lilleker
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Comparative Studies ◽  
Communication Strategies ◽  
Online Communication ◽  
Parliamentary Elections ◽  
Sales Strategy ◽  
Social Media Platforms ◽  
Online Strategies ◽  
Web Cartography

Comparative studies are rare in the study of online communication campaigning. The authors chose two cases, Poland and France, to describe the two campaigns for the Parliamentary elections. Content analysis allowed the authors to detect online communication strategies and parties' attempt to reach different audiences. Web-cartography illustrates the parties' network connections. The authors find strong cross-country and resource-based differences for the more interactive and engaging features (Web 2.0), which are not that powerful for explaining audience-targeting strategies. Overall a sales strategy and a focus on marketing dominated over e-representation (exhibiting the parties' political record). In both countries social media platforms are well incorporated into online strategies. Facebook dominates in Poland, Twitter in France. Web cartography gives a counterintuitive picture of the Polish parties' network being much more personalized but also of more ghettoing within the supporting environment.

The Intersection of Social Media and Customer Retention in the Luxury Beauty Industry

2017 ◽  
pp. 1305-1328
Author(s):  
Ellen Stokinger ◽  
Wilson Ozuem
Keyword(s):  
Social Media ◽  
Market Share ◽  
Communication Strategies ◽  
Customer Retention ◽  
Marketing Communication ◽  
Luxury Brands ◽  
Effective Application ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
Ontological Relationship

Debates regarding the ontological relationship between Social Media and customer retention have attracted considerable attention, particularly in the luxury beauty industry. The use of Social Media in the luxury beauty industry has caused many heated debates as it is seen as a form of interference in the exclusivity of luxury brands by limiting the physical and sensual contact between brand and customer. The purpose of this chapter is to provide some insights into how social media impacts on the cosmetics industry. Further, we provide evidence that the effective application of social media in the luxury beauty industry could lead to wider market share, and customer retention. The chapter concludes with some strategies that practitioners and researchers can adopt to develop effective marketing communication strategies, using social media platforms.

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