scholarly journals Artificial Intelligence, Social Media, and Suicide Prevention: Principle of Beneficence Besides Respect for Autonomy

2021 ◽  
Vol 21 (7) ◽  
pp. 43-45
Author(s):  
Hui Zhang ◽  
Yuming Wang ◽  
Zhenxiang Zhang ◽  
Fangxia Guan ◽  
Hongmei Zhang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Suicide Prevention ◽  
Respect For Autonomy

scholarly journals Body dysmorphic disorder in children and young people

2021 ◽  
Vol 30 (3) ◽  
pp. 160-164
Author(s):  
Chloe Watson ◽  
Sasha Ban
Keyword(s):  
Social Media ◽  
Body Image ◽  
Young People ◽  
Suicide Prevention ◽  
Adolescent Development ◽  
Body Dysmorphic Disorder ◽  
Children And Young People ◽  
Surgical Interventions ◽  
Positive Body Image

The incidence of body dysmorphic disorder (BDD) in young people is increasing. Causes of BDD are related to the prevalence of social media and adolescent development, especially the role that brain neuroplasticity has on influencing perception. There are long-term impacts of BDD, including depression and suicide. Prevention and promotion of positive body image are part of the nurse's role; treatment can prevent unnecessary aesthetic surgical interventions.

Disinformation is a rising security threat to the West

2021 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
The United States ◽  
Step Change ◽  
Media Discourse ◽  
Security Threat ◽  
The West ◽  
Content Type ◽  
Synthetic Media ◽  
Victims Of Bullying

Significance Articles containing the bogus quotes were shared across social media globally. The case illustrates how disinformation is created and spread for malign influence, and its ease of entry into social media discourse, which makes it so difficult to untangle and counter. Impacts Political polarisation within the United States is impeding a 'whole of society' response. Russian and Chinese disinformation campaigns will claim the two nations are falsely accused victims of bullying by envious foes. Artificial intelligence-created synthetic media such as deepfakes will enable a step-change in the sophistication of 'infowars'.

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 A SEGMENT STUDY OF MORAL CRISIS ON SOCIAL MEDIA AND ONLINE USING THE ARTIFICIAL INTELLIGENCE APPLICATION: A WAKE-UP CALL

2021 ◽  
Vol 6 (22) ◽  
pp. 36-44
Author(s):  
Nor ‘Adha Ab Hamid ◽  
Azizah Mat Rashid ◽  
Mohd Farok Mat Nor
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Criminal Behavior ◽  
Human Life ◽  
Personal Data ◽  
Human Beings ◽  
Legal Provisions ◽  
Qualitative Approaches ◽  
Moral Crisis ◽  
Use Of Social Media

The development of science and technology is always ahead and has no point and seems limitless. Although human beings are the agents who started this development but eventually faced with a bitter situation which can sacrifice human moral, right and interest of our future. Shariah criminal offenses nowadays can not only occur or be witnessed by a person in a meeting physically with the perpetrator. As a result of technological developments, such behavior can occur and can be witnessed in general by larger groups. Although the illegal treatment which is not in accordance with sharia law and the moral crisis issues happening surrounding us and is rampant on social media, no enforcement is done on perpetrators who use social media medium. According to sharia principles, something that is wrong should be prevented and it is the responsibility of all Muslim individuals. But what is happening today, some Shariah criminal behavior, especially in relation to ethics, can occur easily using facilities technology driven by technological ingenuity. If the application of existing legal provisions is limited and has obstacles for enforcement purposes, then the problem needs to be overcome due to development the law should be in line with current developments. The study aims to identify a segment and cases of the moral crisis on social media and online using the artificial intelligence (AI) application and to identify the needs for shariah prevention. This thesis uses qualitative approaches, adopts library-based research, and, by content analysis of documents, applies the literature review approach. The findings show that the use of social media and AI technology has had an impact on various issues such as moral crisis, security, misuse, an intrusion of personal data, and the construction of AI beyond human control. Thus, the involvement and cooperation of various parties are needed in regulating and addressing issues that arise as a result of the use of social media and AI technology in human life.

scholarly journals Learning Social Media Content Optimization: How Can SMEs Draw the Users' Attention on Official WeChat Accounts?

2022 ◽  
Vol 12 ◽  
Author(s):  
Xueyun Zeng ◽  
Xuening Xu ◽  
Yenchun Jim Wu
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Psychological Needs ◽  
Media Content ◽  
Media Usage ◽  
Knowledge Based ◽  
Related Information ◽  
Artificial Intelligence Technology ◽  
Positive Effect ◽  
Content Optimization

Application of artificial intelligence is accelerating the digital transformation of enterprises, and digital content optimization is crucial to take the users' attention in social media usage. The purpose of this work is to demonstrate how social media content reaches and impresses more users. Using a sample of 345 articles released by Chinese small and medium-sized enterprises (SMEs) on their official WeChat accounts, we employ the self-determination theory to analyze the effects of content optimization strategies on social media visibility. It is found that articles with enterprise-related information optimized for content related to users' psychological needs (heart-based content optimization, mind-based content optimization, and knowledge-based content optimization) achieved higher visibility than that of sheer enterprise-related information, whereas the enterprise-related information embedded with material incentive (benefits-based content optimization) brings lower visibility. The results confirm the positive effect of psychological needs on the diffusion of enterprise-related information, and provide guidance for SMEs to apply artificial intelligence technology to social media practice.

scholarly journals Artificial intelligence applications in social media for depression screening: A systematic review protocol for content validity processes

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259499
Author(s):  
Priscilla N. Owusu ◽  
Ulrich Reininghaus ◽  
Georgia Koppe ◽  
Irene Dankwa-Mullan ◽  
Till Bärnighausen
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Social Media ◽  
Content Validity ◽  
Machine Learning Techniques ◽  
Measurement Instruments ◽  
Normative Judgment ◽  
Current Application ◽  
Randomized Controlled Studies ◽  
Secondary Outcomes

Background The popularization of social media has led to the coalescing of user groups around mental health conditions; in particular, depression. Social media offers a rich environment for contextualizing and predicting users’ self-reported burden of depression. Modern artificial intelligence (AI) methods are commonly employed in analyzing user-generated sentiment on social media. In the forthcoming systematic review, we will examine the content validity of these computer-based health surveillance models with respect to standard diagnostic frameworks. Drawing from a clinical perspective, we will attempt to establish a normative judgment about the strengths of these modern AI applications in the detection of depression. Methods We will perform a systematic review of English and German language publications from 2010 to 2020 in PubMed, APA PsychInfo, Science Direct, EMBASE Psych, Google Scholar, and Web of Science. The inclusion criteria span cohort, case-control, cross-sectional studies, randomized controlled studies, in addition to reports on conference proceedings. The systematic review will exclude some gray source materials, specifically editorials, newspaper articles, and blog posts. Our primary outcome is self-reported depression, as expressed on social media. Secondary outcomes will be the types of AI methods used for social media depression screen, and the clinical validation procedures accompanying these methods. In a second step, we will utilize the evidence-strengthening Population, Intervention, Comparison, Outcomes, Study type (PICOS) tool to refine our inclusion and exclusion criteria. Following the independent assessment of the evidence sources by two authors for the risk of bias, the data extraction process will culminate in a thematic synthesis of reviewed studies. Discussion We present the protocol for a systematic review which will consider all existing literature from peer reviewed publication sources relevant to the primary and secondary outcomes. The completed review will discuss depression as a self-reported health outcome in social media material. We will examine the computational methods, including AI and machine learning techniques which are commonly used for online depression surveillance. Furthermore, we will focus on standard clinical assessments, as indicating content validity, in the design of the algorithms. The methodological quality of the clinical construct of the algorithms will be evaluated with the COnsensus-based Standards for the selection of health status Measurement Instruments (COSMIN) framework. We conclude the study with a normative judgment about the current application of AI to screen for depression on social media. Systematic review registration International Prospective Register of Systematic Reviews PROSPERO (registration number CRD42020187874).

scholarly journals Artificial Intelligence-enabled analysis of social media data to understand public perceptions of COVID-19 contact tracing apps (Preprint)

10.2196/26618 ◽  
2020 ◽  
Author(s):  
Kathrin Cresswell ◽  
Ahsen Tahir ◽  
Zakariya Sheikh ◽  
Zain Hussain ◽  
Andrés Domínguez Hernández ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Public Perceptions ◽  
Contact Tracing ◽  
Social Media Data ◽  
Media Data

scholarly journals Role of Artificial Intelligence in Social Media Marketing

2019 ◽  
Vol 8 (4S3) ◽  
pp. 66-69
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Review Paper ◽  
Social Media Marketing ◽  
Business Organisation ◽  
The Social

This presented review paper encompasses all the ongoing trends of the Artificial Intelligence. This review evaluates the possibilities of Artificial Intelligence (AI) in social media marketing. This review paper aims to study the potential of AI in the social media marketing. This review paper fulfils the objectives of simulation of AI in the business organisations to enhance marketing which will in return increase sales. The paper aims examines the possibilities and strengths of AI. This review paper will explore the intervention of AI into marketing arena. The review flows from the general to specific. It evaluates the effect of AI on both the society as a whole and also specifically on the business organisation. It assesses the effect of AI on both the Social media and the business.

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