scholarly journals A Qualitative Study on the Behavioral Impact of TikTok’s Platform Mechanics on Economically Driven Content Creators

2021 ◽  
pp. 146-150
Author(s):  
Markus Rach ◽  
Keyword(s):  
Social Media ◽  
Qualitative Study ◽  
Conceptual Model ◽  
Behavioral Change ◽  
Qualitative Interviews ◽  
Change Model ◽  
Social Media Platforms ◽  
Almost All ◽  
Behavioral Impact ◽  
User Content

The aim of this paper is to analyze the behavioral impact of TikTok’s platform mechanics and actions on economically driven, thus objective oriented content creators on the platform. Since almost all social media platforms monetize user content, platform objectives were related to exhibited platform mechanics to propose a conceptual model for the behavioral altercation potential of TikTok. The underlying data and insights were collected via qualitative interviews of economically driven content creators. Gained insights were contrasted against intrinsically motivated content creators on the basis of a behavioral change model.

scholarly journals Quantified Nostalgia: Social Media, Metrics, and Memory

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110088
Author(s):  
Benjamin N. Jacobsen ◽  
David Beer
Keyword(s):  
Social Media ◽  
Focus Group ◽  
Qualitative Interviews ◽  
The Past ◽  
Group Data ◽  
Focus Group Data ◽  
Social Media Platforms ◽  
Memory Practices ◽  
The Relationship

As social media platforms have developed over the past decade, they are no longer simply sites for interactions and networked sociality; they also now facilitate backwards glances to previous times, moments, and events. Users’ past content is turned into definable objects that can be scored, rated, and resurfaced as “memories.” There is, then, a need to understand how metrics have come to shape digital and social media memory practices, and how the relationship between memory, data, and metrics can be further understood. This article seeks to outline some of the relations between social media, metrics, and memory. It examines how metrics shape remembrance of the past within social media. Drawing on qualitative interviews as well as focus group data, the article examines the ways in which metrics are implicated in memory making and memory practices. This article explores the effect of social media “likes” on people’s memory attachments and emotional associations with the past. The article then examines how memory features incentivize users to keep remembering through accumulation. It also examines how numerating engagements leads to a sense of competition in how the digital past is approached and experienced. Finally, the article explores the tensions that arise in quantifying people’s engagements with their memories. This article proposes the notion of quantified nostalgia in order to examine how metrics are variously performative in memory making, and how regimes of ordinary measures can figure in the engagement and reconstruction of the digital past in multiple ways.

Understanding the Experiences of Anger in the Onset and Progression of Psoriasis: A Qualitative Study Using Social Media (Preprint)

2021 ◽  
Author(s):  
Olivia Hughes ◽  
Rachael Hunter
Keyword(s):  
Social Media ◽  
Qualitative Interviews ◽  
Psychosocial Interventions ◽  
Skin Condition ◽  
Future Research ◽  
Social Media Platforms ◽  
Chronic Skin ◽  
Skin Conditions ◽  
The Impact

BACKGROUND Psoriasis is a chronic inflammatory skin condition, which can be affected by stress. Living with psoriasis can trigger negative emotions, which may influence quality of life. OBJECTIVE This study explored the experiences of people with psoriasis with attention to the potential role of anger in the onset and progression of the chronic skin condition. METHODS Semi-structured qualitative interviews were conducted with twelve participants (n=5 females, n=7 males) recruited online from an advert on a patient charity’s social media platforms. Data were transcribed and analysed using thematic analysis. RESULTS Four key themes were identified: (1) ‘I get really angry with the whole situation:’ anger at the self and others, (2) the impact of anger on psoriasis: angry skin, (3) shared experiences of distress, and (4) moving past anger to affirmation. CONCLUSIONS Findings suggest that anger can have a perceived impact on psoriasis through contributing to sensory symptoms and unhelpful coping cycles and point to a need for enhanced treatment with more psychological support. The findings also highlight the continued stigma which exists for people living with skin conditions and how this may contribute to, and sustain, anger for those individuals. Future research could usefully focus on developing targeted psychosocial interventions to promote healthy emotional coping with psoriasis.

scholarly journals Using Social Media to Enable Staff Knowledge Sharing in Higher Education Institutions

2018 ◽  
Vol 22 ◽  
Author(s):  
Niall Corcoran ◽  
Aidan Duane
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Knowledge Sharing ◽  
Conceptual Model ◽  
Higher Education Institutions ◽  
Action Research Project ◽  
Barriers To Participation ◽  
Enterprise Social Networks ◽  
Social Media Platforms ◽  
Knowledge Intensive

Higher education institutions (HEIs) are knowledge intensive environments by nature. However, the management of organisational knowledge and the promotion of staff knowledge sharing is largely neglected in these institutions. This study examines how enterprise social networks can enable staff knowledge sharing in communities of practice in that context. The study is framed as an Action Research project, covering three cycles over a 12 month period. A conceptual model was developed for empirical testing and data was collected through focus groups and interviews, supplemented by reflective journaling and content analysis. The findings support the conceptual model and provide insight into the antecedents necessary for the creation of an enterprise social network enabled knowledge sharing environment, the motivators for and barriers to participation, and the perceived organisational and individual benefits of increased staff knowledge sharing activity. The findings indicate that the barriers to participation are influenced by the prevalent organisation structure and culture, and a divide between faculty and other staff. However, individual benefits that accrue from participation may influence greater participation, and organisational benefits that accrue may influence organisational strategies that drive change in structure and culture to promote the development of the knowledge sharing environment. A number of findings have practical implications for the management of higher education institutions, such as the evidence of a divide between faculty and other staff, and the perceived existence of an organisational culture that inhibits staff communication, interaction and collaboration. In general, the study findings provide an opportunity for educationalists to better understand the scope and impact of employing social media platforms for knowledge sharing. This study adds to the growing body of work on organisational implementations of social media, and should be of interest to practitioners and researchers undertaking similar projects.

One size doesn’t fit all: a uses and gratifications analysis of social media platforms

2020 ◽  
Vol 14 (2) ◽  
pp. 269-284 ◽  
Author(s):  
Mark J. Pelletier ◽  
Alexandra Krallman ◽  
Frank G. Adams ◽  
Tyler Hancock
Keyword(s):  
Social Media ◽  
Multivariate Analysis ◽  
Qualitative Study ◽  
Design Methodology ◽  
Research Study ◽  
Analysis Of Covariance ◽  
Main Study ◽  
Content Type ◽  
Value Propositions ◽  
Social Media Platforms

Purpose This research study aims to investigate consumer usage motivations for three of the top social media platforms today: Facebook, Twitter and Instagram. Additionally, through understanding various platform distinctions, firms can understand which social media platforms consumers prefer to use to co-create with brands online. Design/methodology/approach An exploratory qualitative study is first conducted to understand consumer motivations for using different social media platforms. The main study tests five hypotheses related to consumer usage intentions and social media co-creation behavior across three social media platforms. A survey is conducted with 1,050 social media users with a comparison of mean responses using multivariate analysis of covariance. Findings Results support significant differences between platforms in terms of use and co-creation behaviors. For informational purposes, consumers gravitate toward Twitter. For social purposes, Twitter and Instagram are preferred. Instagram is the primary platform for entertainment motivation as well as co-creating with brands via social media. Surprisingly, Facebook shows the lowest usage intentions and co-creation despite being the largest platform and network most widely used by marketers. Originality/value To the best of the authors’ knowledge, this is one of the first studies to take a multi-platform approach to understanding consumer social media use and co-creation with brands. The results highlight that marketing academics and practitioners must segment the various social media platforms as each offers unique value propositions to consumers.

What’s a Threat on Social Media? How Black and Latino Chicago Young Men Define and Navigate Threats Online

2017 ◽  
Vol 51 (6) ◽  
pp. 756-772 ◽  
Author(s):  
Desmond Upton Patton ◽  
Patrick Leonard ◽  
Caitlin Elaesser ◽  
Robert D. Eschmann ◽  
Sadiq Patel ◽  
...  
Keyword(s):  
Social Media ◽  
Violence Prevention ◽  
Youth Violence ◽  
Qualitative Interviews ◽  
Young Men ◽  
Urban Neighborhoods ◽  
Urban Street ◽  
Or Groups ◽  
Social Media Platforms ◽  
Black And Latino

Youth living in violent urban neighborhoods increasingly post messages online from urban street corners. The decline of the digital divide and the proliferation of social media platforms connect youth to peer communities who may share experiences with neighborhood stress and trauma. Social media can also be used for targeted retribution when threats and insults are directed at individuals or groups. Recent research suggests that gang-involved youth may use social media to brag, post fight videos, insult, and threaten—a phenomenon termed Internet banging. In this article, we leverage “code of the digital street” to understand how and in what ways social media facilitates urban-based youth violence. We utilize qualitative interviews from 33 Black and Latino young men who frequent violence prevention programs and live in violent neighborhoods in Chicago. Emerging themes describe how and why online threats are conceptualized on social media. Implications for violence prevention and criminal investigations are discussed.

scholarly journals Fine-Grained Sentiment Analysis of Arabic COVID-19 Tweets Using BERT-Based Transformers and Dynamically Weighted Loss Function

2021 ◽  
Vol 11 (22) ◽  
pp. 10694
Author(s):  
Nora Alturayeif ◽  
Hamzah Luqman
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Loss Function ◽  
Psychological Effects ◽  
Fine Grained ◽  
Current Events ◽  
Social Media Platforms ◽  
Sentiment Detection ◽  
Textual Representation ◽  
Almost All

The outbreak of coronavirus disease (COVID-19) has affected almost all of the countries of the world, and has had significant social and psychological effects on the population. Nowadays, social media platforms are being used for emotional self-expression towards current events, including the COVID-19 pandemic. The study of people’s emotions in social media is vital to understand the effect of this pandemic on mental health, in order to protect societies. This work aims to investigate to what extent deep learning models can assist in understanding society’s attitude in social media toward COVID-19 pandemic. We employ two transformer-based models for fine-grained sentiment detection of Arabic tweets, considering that more than one emotion can co-exist in the same tweet. We also show how the textual representation of emojis can boost the performance of sentiment analysis. In addition, we propose a dynamically weighted loss function (DWLF) to handle the issue of imbalanced datasets. The proposed approach has been evaluated on two datasets and the attained results demonstrate that the proposed BERT-based models with emojis replacement and DWLF technique can improve the sentiment detection of multi-dialect Arabic tweets with an F1-Micro score of 0.72.

scholarly journals Perceptions of Alerts Issued by Social Media Platforms in Response to Self-injury Posts Among Latinx Adolescents: Qualitative Analysis

10.2196/28931 ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. e28931
Author(s):  
Linnea I Laestadius ◽  
Katherine A Craig ◽  
Celeste Campos-Castillo
Keyword(s):  
Social Media ◽  
Health Informatics ◽  
Emergency Services ◽  
Personal Information ◽  
Qualitative Interviews ◽  
Framework Analysis ◽  
Ethical Concerns ◽  
Self Injury ◽  
Social Media Platforms ◽  
Latinx Adolescents

Background There is growing interest in using social media data to detect and address nonsuicidal self-injury (NSSI) among adolescents. Adolescents often do not seek clinical help for NSSI and may adopt strategies to obscure detection; therefore, social media platforms may be able to facilitate early detection and treatment by using machine learning models to screen posts for harmful content and subsequently alert adults. However, such efforts have raised privacy and ethical concerns among health researchers. Little is currently known about how adolescents perceive these efforts. Objective The aim of this study is to examine perceptions of automated alerts for NSSI posts on social media among Latinx adolescents, who are at risk for NSSI yet are underrepresented in both NSSI and health informatics research. In addition, we considered their perspectives on preferred recipients of automated alerts. Methods We conducted semistructured, qualitative interviews with 42 Latinx adolescents between the ages of 13 and 17 years who were recruited from a nonprofit organization serving the Latinx community in Milwaukee, Wisconsin. The Latinx population in Milwaukee is largely of Mexican descent. All interviews were conducted between June and July 2019. Transcripts were analyzed using framework analysis to discern their perceptions of automated alerts sent by social media platforms and potential alert recipients. Results Participants felt that automated alerts would make adolescents safer and expedite aid before the situation escalated. However, some worried that hyperbolic statements would generate false alerts and instigate conflicts. Interviews revealed strong opinions about ideal alert recipients. Parents were most commonly endorsed, but support was conditional on perceptions that the parent would respond appropriately. Emergency services were judged as safer but inappropriate for situations considered lower risk. Alerts sent to school staff generated the strongest privacy concerns. Altogether, the preferred alert recipients varied by individual adolescents and perceived risks in the situation. None raised ethical concerns about the collection, analysis, or storage of personal information regarding their mental health status. Conclusions Overall, Latinx adolescents expressed broad support for automated alerts for NSSI on social media, which indicates opportunities to address NSSI. However, these efforts should be co-constructed with adolescents to ensure that preferences and needs are met, as well as embedded within broader approaches for addressing structural and cultural barriers to care.

scholarly journals Perceptions of Alerts Issued by Social Media Platforms in Response to Self-injury Posts Among Latinx Adolescents: Qualitative Analysis (Preprint)

2021 ◽  
Author(s):  
Linnea I Laestadius ◽  
Katherine A Craig ◽  
Celeste Campos-Castillo
Keyword(s):  
Social Media ◽  
Health Informatics ◽  
Emergency Services ◽  
Personal Information ◽  
Qualitative Interviews ◽  
Framework Analysis ◽  
Ethical Concerns ◽  
Self Injury ◽  
Social Media Platforms ◽  
Latinx Adolescents

BACKGROUND There is growing interest in using social media data to detect and address nonsuicidal self-injury (NSSI) among adolescents. Adolescents often do not seek clinical help for NSSI and may adopt strategies to obscure detection; therefore, social media platforms may be able to facilitate early detection and treatment by using machine learning models to screen posts for harmful content and subsequently alert adults. However, such efforts have raised privacy and ethical concerns among health researchers. Little is currently known about how adolescents perceive these efforts. OBJECTIVE The aim of this study is to examine perceptions of automated alerts for NSSI posts on social media among Latinx adolescents, who are at risk for NSSI yet are underrepresented in both NSSI and health informatics research. In addition, we considered their perspectives on preferred recipients of automated alerts. METHODS We conducted semistructured, qualitative interviews with 42 Latinx adolescents between the ages of 13 and 17 years who were recruited from a nonprofit organization serving the Latinx community in Milwaukee, Wisconsin. The Latinx population in Milwaukee is largely of Mexican descent. All interviews were conducted between June and July 2019. Transcripts were analyzed using framework analysis to discern their perceptions of automated alerts sent by social media platforms and potential alert recipients. RESULTS Participants felt that automated alerts would make adolescents safer and expedite aid before the situation escalated. However, some worried that hyperbolic statements would generate false alerts and instigate conflicts. Interviews revealed strong opinions about ideal alert recipients. Parents were most commonly endorsed, but support was conditional on perceptions that the parent would respond appropriately. Emergency services were judged as safer but inappropriate for situations considered lower risk. Alerts sent to school staff generated the strongest privacy concerns. Altogether, the preferred alert recipients varied by individual adolescents and perceived risks in the situation. None raised ethical concerns about the collection, analysis, or storage of personal information regarding their mental health status. CONCLUSIONS Overall, Latinx adolescents expressed broad support for automated alerts for NSSI on social media, which indicates opportunities to address NSSI. However, these efforts should be co-constructed with adolescents to ensure that preferences and needs are met, as well as embedded within broader approaches for addressing structural and cultural barriers to care. CLINICALTRIAL

scholarly journals The Footy Girls of Tumblr: How Women Found Their Niche in the Online Football Fandom

2019 ◽  
pp. 216747951986007 ◽  
Author(s):  
Jessica Kunert
Keyword(s):  
Social Media ◽  
Qualitative Interviews ◽  
Safe Space ◽  
Social Media Platform ◽  
Sports Fandom ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform ◽  
Soccer Fans ◽  
Communication Culture

This study examines how female football (soccer) fans use the social media platform Tumblr to interact and talk about their fandom, what purposes Tumblr serves for them, and why they prefer it to other social media platforms. As women are often marginalised in offline and online sports discourse, Tumblr’s football fandom was chosen to investigate how women experience their fandom on a platform with a mostly female and young user population. The results of 14 in-depth qualitative interviews with heavily invested female Tumblr users show that the fandom’s communication culture allows fans to interact in a variety of creative ways that involve the use of a specialist vocabulary. This Tumblr fandom is overwhelmingly female, which makes the interviewees feel that they can talk freely about football. Thus, Tumblr has the potential to serve as a safe space for female fans. Yet, its highly opinionated discussions and rivalries mirror those in the traditional football fandom. This study contributes to the literature that explores how women express their sports fandom online and demonstrates how they have found a niche in which to discuss their favourite sport on their own terms.

Towards a Model of Social Media Impacts on Cybersecurity Knowledge Transfer

2018 ◽  
pp. 521-543
Author(s):  
Nainika Patnayakuni ◽  
Ravi Patnayakuni ◽  
Jatinder N. D. Gupta
Keyword(s):  
Social Media ◽  
Information Security ◽  
Knowledge Transfer ◽  
Conceptual Model ◽  
Individual Learning ◽  
The Other ◽  
Social Media Platforms ◽  
Threat Avoidance ◽  
Technical Solutions ◽  
The Impact

Technical solutions to security have been suggested but found lacking and it has been recognized that security is a people issue as well, and behavioral research on information security is critical. Individual learning about cybersecurity is not formal and linear, but complex and network based. In this paper we develop a model of how social media characteristics impact cybersecurity knowledge transfer using technology threat avoidance theory. In developing the conceptual model we seek to answer the following questions. How do users discover cybersecurity knowledge on social media platforms? What are the platform and interaction characteristics that enable them to find cybersecurity knowledge and share this knowledge with others? In doing so we consider the impact of the threat and protection context on cybersecurity knowledge transfer which is different from knowledge transfer in the other contexts.

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