Misinformed users: improving informed decision-making on social media.

Transpl Int

Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX, USA.

Published: June 2016


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://dx.doi.org/10.1111/tri.12778DOI Listing

Publication Analysis

Top Keywords

misinformed users
4
users improving
4
improving informed
4
informed decision-making
4
decision-making social
4
social media
4
misinformed
1
improving
1
informed
1
decision-making
1

Similar Publications

Posttraumatic Stress Disorder Content on TikTok: Cross-Sectional Analysis of Popular #PTSD Posts.

Online J Public Health Inform

September 2025

Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, United States, 1 (352) 273-6617.

Background: TikTok became an increasingly popular platform for mental health discussions during a major global stressor (COVID-19 pandemic). On TikTok, content assumed to promote user engagement is delivered in a hyperindividually curated manner through a proprietary algorithm. Mental health providers have raised concerns about TikTok's potential role in promoting inaccurate self-diagnoses, pathologizing normal behaviors, and fostering new-onset symptoms after exposure to illness-related content, such as tic-like movements linked to conversion or factitious disorders.

View Article and Find Full Text PDF

In 6G mobile communication systems, various AI-based network functions and applications have been standardized. Federated learning (FL) is adopted as the core learning architecture for 6G systems to avoid privacy leakage from mobile user data. However, in FL, users with non-independent and identically distributed (non-IID) datasets can deteriorate the performance of the global model because the convergence direction of the gradient for each dataset is different, thereby inducing a weight divergence problem.

View Article and Find Full Text PDF

Background: Over the past decade, the proportion of the world's population aged ≥65 years has grown exponentially, presenting significant challenges, such as social isolation and loneliness among this population. Assistive technologies have shown potential in enhancing the quality of life for older adults by improving their physical, cognitive, and communication abilities. Research has shown that smart televisions are user-friendly and commonly used among older adults.

View Article and Find Full Text PDF

Communication skills training alone has shown limited impact on improving the frequency and quality of serious illness conversations (SICs). Implementing structured support strategies may enhance both adoption and sustained use in clinical practice. Retrospective review of the impact of Serious Illness Care Program (SICP) training and implementation in outpatient and inpatient settings at a single academic center.

View Article and Find Full Text PDF

Toward Human-Centered Artificial Intelligence for Users' Digital Well-Being: Systematic Review, Synthesis, and Future Directions.

JMIR Hum Factors

September 2025

Seidenberg School of Computer Science and Information Systems, Pace University, New York City, NY, United States.

Background: As information and communication technologies and artificial intelligence (AI) become deeply integrated into daily life, the focus on users' digital well-being has grown across academic and industrial fields. However, fragmented perspectives and approaches to digital well-being in AI-powered systems hinder a holistic understanding, leaving researchers and practitioners struggling to design truly human-centered AI systems.

Objective: This paper aims to address the fragmentation by synthesizing diverse perspectives and approaches to digital well-being through a systematic literature review.

View Article and Find Full Text PDF