AIMC Topic: Social Media

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Pharmacovigilance in the digital age: gaining insight from social media data.

Experimental biology and medicine (Maywood, N.J.)
Pharmacovigilance is essential for protecting patient health by monitoring and managing medication-related risks. Traditional methods like spontaneous reporting systems and clinical trials are valuable for identifying adverse drug events, but face de...

Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study.

Journal of medical Internet research
BACKGROUND: The COVID-19 pandemic has inflicted global devastation, infecting over 750 million and causing 6 million deaths. In an effort to control the spread of the virus, governments around the world implemented a variety of measures, including st...

Co-designing an online educational resource to help adolescents improve their digital health literacy.

BMC public health
BACKGROUND: Digital media is ubiquitous in adolescents' lives and provides many opportunities to engage with health information. However, there is an increased risk of engaging with inaccurate or biased health information on the internet, resulting i...

Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data.

Journal of medical Internet research
BACKGROUND: Social media platforms have witnessed a substantial increase in mental health-related discussions, with particular attention focused on attention-deficit/hyperactivity disorder (ADHD) and autism. This heightened interest coincides with gr...

Using the Language of elite athletes to predict their personality and on court transgressions.

Scientific reports
Personality is predictive of many behaviors, but personality questionnaires cannot be readily administered to persons of interest. The language people use to express themselves can often predict personality and so should, in theory, provide a surroga...

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse.

Journal of medical Internet research
BACKGROUND: Patients with end-stage kidney disease undergoing dialysis face significant physical, psychological, and social challenges that impact their quality of life. Social media platforms such as X (formerly known as Twitter) have become importa...

Technology-Based Solutions for Combating Loneliness and Isolation in Geriatric Care: A Narrative Review.

Clinics in geriatric medicine
This narrative review evaluates the potential of technology-based solutions to address loneliness and isolation among older adults and their caregivers. It examines the benefits and limitations of interventions such as videoconferencing, social media...

Detection of Negative Emotions in Short Texts Using Deep Neural Networks.

Cyberpsychology, behavior and social networking
Emotion detection is crucial in various domains, including psychology, health, social sciences, and marketing. Specifically, in psychology, identifying negative emotions in short Spanish texts, such as tweets, is vital for understanding individuals' ...

CLAAF: Multimodal fake information detection based on contrastive learning and adaptive Agg-modality fusion.

PloS one
The widespread disinformation on social media platforms has created significant challenges in verifying the authenticity of content, especially in multimodal contexts. However, simple modality fusion can introduce much noise due to the differences in...

Digital health tools in juvenile idiopathic arthritis: a systematic literature review.

Pediatric rheumatology online journal
BACKGROUND: Nowadays, digital health technologies, including mobile apps, wearable technologies, social media, websites, electronic medical records, and artificial intelligence, are impacting disease management and outcomes. We aimed to analyse the c...