scholarly journals Fake News and Disinformation in Health Care- Challenges and Technology Tools

2021 ◽  
Author(s):  
Maria Tsirintani
Keyword(s):  
Health Care ◽  
Qualitative Research ◽  
Social Media ◽  
Global Health ◽  
Well Being ◽  
Structured Interview ◽  
Fake News ◽  
The Social ◽  
Use Of Internet ◽  
Health And Well Being

The aim of this study is to define and analyze the phenomenon of fake news and disinformation from social media in healthcare ecosystem. Social media and web platforms can be used to spread misinformation, which produces harmful consequences to global health and well-being. A qualitative research was carried out by using semi structured interview with experts for collecting the data investigating the social, legal and technical environment that promote this phenomenon. In order to shed some light, software tools and web platforms are suggested to those in charge of educating users on their best use of internet for this purpose.

scholarly journals Loodus tuleb tagasi: delfiinid ja saurused. Libauudistest, photoshop-muistenditest ja meemidest koroonakarantiini ajal

Mäetagused ◽  
2021 ◽  
Vol 79 ◽  
pp. 167-184
Author(s):  
Eda Kalmre ◽  
Keyword(s):  
Social Media ◽  
Coping Strategies ◽  
Well Being ◽  
Point Of View ◽  
Human Existence ◽  
The Other ◽  
Fake News ◽  
The Social ◽  
Truth Value ◽  
Positive Effect

The article follows the narrative trend initiated by the social media posts and fake news during the first months of the corona quarantine, which claims that the decrease of contamination due to the quarantine has a positive effect on the environment and nature recovery. The author describes the context of the topic and follows the changes in the rhetoric through different genres, discussing the ways in which a picture can tell a truthful story. What is the relation between the context, truth, and rhetoric? This material spread globally, yet it was also readily “translated” into the Estonian context, and – what is very characteristic of the entire pandemic material – when approaching this material, truthful and fabricated texts, photos, and videos were combined. From the folkloristic point of view, these rumours in the form of fake news, first presented in the function of a tall tale and further following the sliding truth scale of legends, constitute a part of coping strategies, so-called crisis humour, yet, on the other hand, also a belief story presenting positive imagery, which surrounds the mainly apocalyptically perceived pandemic period and interprets the human existence on a wider scale. Even if these fake news and memes have no truth value, they communicate an idea – nature recovers – and definitely offer hope and a feeling of well-being.

scholarly journals Case Studies in the Culture of Professional Football Players and Mental Welfare and Wellbeing

2020 ◽  
pp. 325-329
Author(s):  
Michael Bennett
Keyword(s):  
Mental Health ◽  
Qualitative Research ◽  
Lived Experience ◽  
Cultural Values ◽  
Personal Experience ◽  
Well Being ◽  
Football Players ◽  
Professional Football ◽  
The Social ◽  
Health And Well Being

AbstractThis chapter draws on the author’s personal experience together with the findings from his qualitative research, to explore the cultural values driving problems of mental health and well-being among professional footballers. The study makes explicit the way in which players are expected to hide their experiences of being objectified—of being subject to gendered, racialised and other forms of dehumanisation—and denied a legitimate lived experience, an authentic heard voice. The chapter illustrates the importance in values-based practice of knowledge of values gained as in this instance by way of qualitative methods from the social sciences being used to fill out knowledge derived from individual personal experience.

scholarly journals The Social Media Response From Athletes and Sport Organizations to COVID-19: An Altruistic Tone

2020 ◽  
Vol 13 (3) ◽  
pp. 474-483
Author(s):  
Stirling Sharpe ◽  
Charles Mountifield ◽  
Kevin Filo
Keyword(s):  
Social Media ◽  
Well Being ◽  
Sport Organizations ◽  
High Profile ◽  
Spare Time ◽  
The Social ◽  
Sport Events ◽  
Government Legislation ◽  
Health And Well Being

The global coronavirus (COVID-19) pandemic has resulted in restrictions on gatherings of large crowds, the suspension of live sport events across the globe, and the relegation of topical televised sport to broadcasts of past events and competitions. Consequently, there has been a shift in focus from the entertainment aspect of sport to the health and well-being aspects of sport. As athletes, teams, and sport organizations have become subject to government legislation concerning physical distancing, self-isolation, and lockdowns, the resultant spare time has presented the opportunity for individual athletes and sport organizations to pursue an approach to social media that includes viral challenges, fundraising, and socializing online. This paper provides a commentary on select high-profile athletes’ and sport organizations’ social media behavior during the COVID-19 pandemic, which has adopted an altruistic tone.

Representasi Feminisme dalam Video Klip ‘Nightmare’ oleh Halsey

Koneksi ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 338
Author(s):  
Faiz Zulia Maharany ◽  
Ahmad Junaidi
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Data Collection ◽  
Mass Communication ◽  
Video Clip ◽  
Charles Sanders Peirce ◽  
Patriarchal Culture ◽  
The Social ◽  
Social Media Platforms ◽  
Barrier Wall

'Nightmare' is the title of a video clip belonging to a singer and singer called Halsey, in which the video clip is explained about the figure of women who struggle against patriarchal culture which has been a barrier wall for women to get their rights, welfare and the equality needed they get. This research uses descriptive qualitative research methods. Data collection techniques are done through documentation, observation and study of literature. Then, analyzed using Charles Sanders Peirce's semiotics technique. The results of this study show the fact that signs, symbols or messages representing feminism in the video, 'Nightmare' clips are presented through scenes that present women's actions in opposing domination over men and sarcastic sentences contained in the lyrics of the song to discuss with patriarchy. Youtube as one of the social media platforms where the 'Nightmare' video clip is uploaded is very effective for mass communication and for conveying the message contained in the video clip to the viewing public.‘Nightmare’ adalah judul video klip milik musisi sekaligus penyanyi yang bernama Halsey, dimana pada Video klipnya tersebut menceritakan tentang figur perempuan-perempuan yang berusaha melawan budaya patriarki yang selama ini telah menjadi dinding penghalang bagi perempuan untuk mendapatkan hak-haknya, keadilan dan kesetaraan yang seharusnya mereka dapatkan. Penelitian ini menggunakan metode penelitian kualitatif deskriptif. Teknik pengumpulan data dilakukan melalui dokumentasi, observasi dan studi kepustakaan. Kemudian, dianalisis menggunakan teknik semiotika milik Charles Sanders Peirce. Hasil penelitian ini menunjukan bahwa terdapat tanda-tanda, simbol atau pesan yang merepresentasikan feminisme di dalam video klip ‘Nightmare’ yang dihadirkan melalui adegan-adegan yang menyajikan aksi perempuan dalam menolak dominasi atas laki-laki dan kalimat-kalimat sarkas yang terkandung dalam lirik lagunya untuk ditujukan kepada patriarki. Youtube sebagai salah satu platform media sosial dimana video klip ‘Nightmare’ diunggah sangat efektif untuk melakukan komunikasi massa dan untuk menyampaikan pesan yang terkandung di dalam video klip tersebut kepada masyarakat yang menonton.

The social value of Participatory Ergonomics from a practitioner’s perspective

2020 ◽  
Vol 64 (1) ◽  
pp. 919-923
Author(s):  
Kátia M. Costa-Black ◽  
Chris Arteberry
Keyword(s):  
Human Performance ◽  
Well Being ◽  
Participatory Approach ◽  
Performance Outcomes ◽  
Participatory Ergonomics ◽  
Worker Health ◽  
Healthy Working ◽  
The Social ◽  
Health And Well Being ◽  
Total Worker Health

Ergonomics applies a set of ambitious frameworks and robust body of evidence for integrating different practices to optimize worker health and well-being. One recognized framework is the participatory approach, which delves into sociotechnical workplace actions – developed from the ground up – to achieve improved human performance outcomes and acceptability across the organization. Much of what is known about the value of participatory ergonomics centers on return-on-investment analyses related to injury prevention. Outside this spectrum, little has been discussed. This paper imparts how a participatory approach can lead to various positive impacts beyond financial gains, mainly by focusing on continuous improvements at the management systems level and on proactively motivating people and organizations to embrace healthy working conditions and behaviors. Issues such as the social-ethical value of involving workers in work design and return-to-work solutions are discussed to illustrate the holistic value of participatory ergonomics in the context of Total Worker Health.

scholarly journals “At Least until the Second Wave Comes…”: A Twitter Analysis of the NHS and COVID-19 between March and June 2020

2021 ◽  
Vol 18 (8) ◽  
pp. 3943
Author(s):  
Kathy McKay ◽  
Sarah Wayland ◽  
David Ferguson ◽  
Jane Petty ◽  
Eilis Kennedy
Keyword(s):  
Health Care ◽  
Social Media ◽  
Content Analysis ◽  
Well Being ◽  
Profound Impact ◽  
Time Period ◽  
Twitter Analysis ◽  
The Uk ◽  
Media Narratives ◽  
Second Wave

In the UK, tweets around COVID-19 and health care have primarily focused on the NHS. Recent research has identified that the psychological well-being of NHS staff has been adversely impacted as a result of the COVID-19 pandemic. The aim of this study was to investigate narratives relating to the NHS and COVID-19 during the first lockdown (26 March–4 July 2020). A total of 123,880 tweets were collated and downloaded bound to the time period of the first lockdown in order to analyse the real-time discourse around COVID-19 and the NHS. Content analysis was undertaken and tweets were coded to positive and negative sentiments. Five main themes were identified: (1) the dichotomies of ‘clap for carers’; (2) problems with PPE and testing; (3) peaks of anger; (4) issues around hero worship; and (5) hints of a normality. Further research exploring and documenting social media narratives around COVID-19 and the NHS, in this and subsequent lockdowns, should help in tailoring suitable support for staff in the future and acknowledging the profound impact that the pandemic has had.

scholarly journals Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

2021 ◽  
Author(s):  
Giandomenico Di Domenico ◽  
Annamaria Tuan ◽  
Marco Visentin
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
New Technologies ◽  
Fake News ◽  
Conspiracy Theories ◽  
Social Media Platform ◽  
The Social ◽  
Media Platform ◽  
Textual Cues ◽  
Twitter Users

AbstractIn the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.

scholarly journals Automated Classification of Fake News Spreaders to Break the Misinformation Chain

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 248
Author(s):  
Simone Leonardi ◽  
Giuseppe Rizzo ◽  
Maurizio Morisio
Keyword(s):  
Social Media ◽  
Network Architecture ◽  
Diffusion Mechanism ◽  
Automated Classification ◽  
Fake News ◽  
Neural Network Architecture ◽  
User Classification ◽  
The Social ◽  
Network Topologies

In social media, users are spreading misinformation easily and without fact checking. In principle, they do not have a malicious intent, but their sharing leads to a socially dangerous diffusion mechanism. The motivations behind this behavior have been linked to a wide variety of social and personal outcomes, but these users are not easily identified. The existing solutions show how the analysis of linguistic signals in social media posts combined with the exploration of network topologies are effective in this field. These applications have some limitations such as focusing solely on the fake news shared and not understanding the typology of the user spreading them. In this paper, we propose a computational approach to extract features from the social media posts of these users to recognize who is a fake news spreader for a given topic. Thanks to the CoAID dataset, we start the analysis with 300 K users engaged on an online micro-blogging platform; then, we enriched the dataset by extending it to a collection of more than 1 M share actions and their associated posts on the platform. The proposed approach processes a batch of Twitter posts authored by users of the CoAID dataset and turns them into a high-dimensional matrix of features, which are then exploited by a deep neural network architecture based on transformers to perform user classification. We prove the effectiveness of our work by comparing the precision, recall, and f1 score of our model with different configurations and with a baseline classifier. We obtained an f1 score of 0.8076, obtaining an improvement from the state-of-the-art by 4%.

Sign in / Sign up

Export Citation Format

Share Document