AIMC Topic: Social Media

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Fast Distributed Dynamics of Semantic Networks via Social Media.

Computational intelligence and neuroscience
We investigate the dynamics of semantic organization using social media, a collective expression of human thought. We propose a novel, time-dependent semantic similarity measure (TSS), based on the social network Twitter. We show that TSS is consiste...

A global optimization approach to multi-polarity sentiment analysis.

PloS one
Following the rapid development of social media, sentiment analysis has become an important social media mining technique. The performance of automatic sentiment analysis primarily depends on feature selection and sentiment classification. While info...

Using support vector machine ensembles for target audience classification on Twitter.

PloS one
The vast amount and diversity of the content shared on social media can pose a challenge for any business wanting to use it to identify potential customers. In this paper, our aim is to investigate the use of both unsupervised and supervised learning...

Screening Internet forum participants for depression symptoms by assembling and enhancing multiple NLP methods.

Computer methods and programs in biomedicine
Depression is a disease that can dramatically lower quality of life. Symptoms of depression can range from temporary sadness to suicide. Embarrassment, shyness, and the stigma of depression are some of the factors preventing people from getting help ...

Multi-scale compositionality: identifying the compositional structures of social dynamics using deep learning.

PloS one
OBJECTIVE: Social media exhibit rich yet distinct temporal dynamics which cover a wide range of different scales. In order to study this complex dynamics, two fundamental questions revolve around (1) the signatures of social dynamics at different tim...

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Social media is becoming increasingly popular as a platform for sharing personal health-related information. This information can be utilized for public health monitoring tasks, particularly for pharmacovigilance, via the use of natural la...

Artificial intelligence in tobacco control: A systematic scoping review of applications, challenges, and ethical implications.

International journal of medical informatics
BACKGROUND: Tobacco use remains a significant global health challenge, contributing substantially to preventable morbidity and mortality. Despite established interventions, outcomes vary due to scalability issues, resource constraints, and limited re...

VaxPulse: Active Global Vaccine Infodemic Risk Assessment.

Studies in health technology and informatics
Vaccine infodemics, driven by misinformation, disinformation, and inauthentic online behaviours, pose significant threats to global public health. This paper presents our response to this challenge, demonstrating how we developed VaxPulse Vaccine Inf...

Monitoring Over-The-Counter Drug Misuse in Japanese User-Generated Data.

Studies in health technology and informatics
INTRODUCTION: The misuse of over-the-counter (OTC) drugs poses a significant global public health challenge. This study proposes a system for detecting and visualizing inappropriate OTC drug use in social media data.

Can Generative LLMs Help Classify Imbalanced Real-World Data? Exploring Rare Diseases on Social Media.

Studies in health technology and informatics
Developmental and Epileptic Encephalopathies (DEEs) are rare, severe conditions often discussed by families on social media, offering valuable insights into their experiences. Identifying these messages amidst unrelated content is crucial but challen...