Four Stages in Social Media Network Analysis—Building Blocks for Health-Related Digital Autonomy in Artificial Intelligence, Social Media, and Depression

2021 ◽  
Vol 21 (7) ◽  
pp. 38-40
Author(s):  
Carol G. Gu ◽  
Elizabeth Lerner Papautsky ◽  
Andrew D. Boyd ◽  
John Zulueta
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Network Analysis ◽  
Building Blocks ◽  
Health Related ◽  
Social Media Network

Artificial Intelligence, Social Media and Depression. ‘Patient’ Autonomy Revisited

2021 ◽  
Vol 66 (Special Issue) ◽  
pp. 133-133
Author(s):  
Regina Mueller ◽  
◽  
Sebastian Laacke ◽  
Georg Schomerus ◽  
Sabine Salloch ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Mental Disorders ◽  
Patient Autonomy ◽  
Ethical Challenges ◽  
Traditional Concept ◽  
Ethical Implications ◽  
Health Related ◽  
Twitter Users ◽  
Using Data

"Artificial Intelligence (AI) systems are increasingly being developed and various applications are already used in medical practice. This development promises improvements in prediction, diagnostics and treatment decisions. As one example, in the field of psychiatry, AI systems can already successfully detect markers of mental disorders such as depression. By using data from social media (e.g. Instagram or Twitter), users who are at risk of mental disorders can be identified. This potential of AI-based depression detectors (AIDD) opens chances, such as quick and inexpensive diagnoses, but also leads to ethical challenges especially regarding users’ autonomy. The focus of the presentation is on autonomy-related ethical implications of AI systems using social media data to identify users with a high risk of suffering from depression. First, technical examples and potential usage scenarios of AIDD are introduced. Second, it is demonstrated that the traditional concept of patient autonomy according to Beauchamp and Childress does not fully account for the ethical implications associated with AIDD. Third, an extended concept of “Health-Related Digital Autonomy” (HRDA) is presented. Conceptual aspects and normative criteria of HRDA are discussed. As a result, HRDA covers the elusive area between social media users and patients. "

scholarly journals Conversing or Diffusing Information?

2021 ◽  
Vol 5 (2) ◽  
pp. 27
Author(s):  
Lauren Bayliss ◽  
Yuner Zhu ◽  
King-Wa Fu ◽  
Lindsay A. Mullican ◽  
Ferdous Ahmed ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Network Analysis ◽  
Public Interest ◽  
Information Diffusion ◽  
Dialogic Communication ◽  
Health Related ◽  
The One

This study examines the one-way information diffusion and two-way dialogic engagement present in public health Twitter chats. Network analysis assessed whether Twitter chats adhere to one of the key principles for online dialogic communication, the dialogic loop (Kent & Taylor, 1998) for four public health-related chats hosted by CDC Twitter accounts. The features of the most retweeted accounts and the most retweeted tweets also were examined. The results indicate that very little dialogic engagement took place. Moreover, the chats seemed to function as pseudoevents primarily used by organizations as opportunities for creating content. However, events such as #PublicHealthChat may serve as important opportunities for gaining attention for issues on social media. Implications for using social media in public interest communications are discussed.

Hacking in to the social media network of bacteria: The antiquorum sensing properties of herbs and spices

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381 ◽  
Author(s):  
S Cosa ◽  
AM Viljoen ◽  
SK Chaudhary ◽  
W Chen
Keyword(s):  
Social Media ◽  
Sensing Properties ◽  
The Social ◽  
Social Media Network ◽  
Herbs And Spices

Web-Based Financial Reporting: An Interpretative Model for Corporate Communications on Social Media

2017 ◽  
pp. 79-112
Author(s):  
Paola Ramassa ◽  
Costanza Di Fabio
Keyword(s):  
Social Media ◽  
Financial Reporting ◽  
Building Blocks ◽  
Corporate Communications ◽  
Distinctive Features ◽  
Financial Communication ◽  
Use Of Social Media ◽  
Key Aspects ◽  
And Diffusion ◽  
Interpretative Model

This paper aims at contributing to financial reporting literature by proposing a conceptual interpretative model to analyse the corporate use of social media for financial communication purposes. In this perspective, the FIRE model provides a framework to study social media shifting the focus on the distinctive features that might enhance web investor relations. The model highlights these features through four building blocks: (i) firm identity (F); (ii) information posting (I); (iii) reputation (R); and (iv) exchange and diffusion (E). They represent key aspects to explore corporate communication activities and might offer a framework to interpret to what degree corporate web financial reporting exploits the potential of social media. Accordingly, the paper proposes metrics based on this model aimed at capturing the interactivity of corporate communications via social media, with a particular focus on web financial reporting. It tries to show the potential of this model by illustrating an exploratory empirical analysis investigating to what extent companies use social media for financial reporting purposes and whether firms are taking advantage of Twitter distinctive features of interaction and diffusion.

Trend of Parental Refusal or Delay of Childhood Vaccinations

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Meagan Marie Daoust
Keyword(s):  
Public Health ◽  
Social Media ◽  
Healthcare System ◽  
Educational Context ◽  
Health Consequences ◽  
Missed Opportunities ◽  
The Public ◽  
Health Related ◽  
Parental Refusal

The healthcare trend of parental refusal or delay of childhood vaccinations will be investigated through a complex Cynefin Framework component in an economic and educational context, allowing patterns to emerge that suggest recommendations of change for the RN role and healthcare system. As a major contributing factor adding complexity to this trend, social media is heavily used for health related knowledge, making it is difficult to determine which information is most trustworthy. Missed opportunities for immunization can result, leading to economic and health consequences for the healthcare system and population. Through analysis of the powerful impact social media has on this evolving trend and public health, an upstream recommendation for RNs to respond with is to utilize reliable social media to the parents’ advantage within practice. The healthcare system should focus on incorporating vaccine-related education into existing programs and classes offered to parents, and implementing new vaccine classes for the public.

ANALISIS PERINGKAT TOP BRAND OJEK ONLINE MENGGUNAKAN JEJARING SOSIAL PERCAKAPAN TWITTER

2019 ◽  
Vol 24 (2) ◽  
pp. 88-104
Author(s):  
Ilham Aminudin ◽  
Dyah Anggraini
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Path Length ◽  
Average Path Length ◽  
Average Degree ◽  
Clustering Coefficient ◽  
R Programming

Banyak bisnis mulai muncul dengan melibatkan pengembangan teknologi internet. Salah satunya adalah bisnis di aplikasi berbasis penyedia layanan di bidang moda transportasi berbasis online yang ternyata dapat memberikan solusi dan menjawab berbagai kekhawatiran publik tentang layanan transportasi umum. Kemacetan lalu lintas di kota-kota besar dan ketegangan publik dengan keamanan transportasi umum diselesaikan dengan adanya aplikasi transportasi online seperti Grab dan Gojek yang memberikan kemudahan dan kenyamanan bagi penggunanya Penelitian ini dilakukan untuk menganalisa keaktifan percakapan brand jasa transportasi online di jejaring sosial Twitter berdasarkan properti jaringan. Penelitian dilakukan dengan dengan mengambil data dari percakapan pengguna di social media Twitter dengan cara crawling menggunakan Bahasa pemrograman R programming dan software R Studio dan pembuatan model jaringan dengan software Gephy. Setelah itu data dianalisis menggunakan metode social network analysis yang terdiri berdasarkan properti jaringan yaitu size, density, modularity, diameter, average degree, average path length, dan clustering coefficient dan nantinya hasil analisis akan dibandingkan dari setiap properti jaringan kedua brand jasa transportasi Online dan ditentukan strategi dalam meningkatkan dan mempertahankan keaktifan serta tingkat kehadiran brand jasa transportasi online, Grab dan Gojek.

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