AIMC Topic: Social Media

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Sentiment Analysis of Tweets on Menu Labeling Regulations in the US.

Nutrients Oct 6, 2023
Menu labeling regulations in the United States mandate chain restaurants to display calorie information for standard menu items, intending to facilitate healthy dietary choices and address obesity concerns. For this study, we utilized machine learnin...
Humans Social Media Public Opinion Sentiment Analysis Machine Learning United States
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Social Listening for Product Design Requirement Analysis and Segmentation: A Graph Analysis Approach with User Comments Mining.

Big data Sep 4, 2023
This study investigates customers' product design requirements through online comments from social media, and quickly translates these needs into product design specifications. First, the exponential discriminative snowball sampling method was propos...
Consumer Behavior Natural Language Processing Data Mining Deep Learning Cluster Analysis Humans Smartphone Social Media
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A visual-language foundation model for pathology image analysis using medical Twitter.

Nature medicine Aug 17, 2023
The lack of annotated publicly available medical images is a major barrier for computational research and education innovations. At the same time, many de-identified images and much knowledge are shared by clinicians on public forums such as medical ...
Humans Artificial Intelligence Language Knowledge Image Processing, Computer-Assisted Social Media
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Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron.

PloS one Aug 1, 2023
Topic modelling with innovative deep learning methods has gained interest for a wide range of applications that includes COVID-19. It can provide, psychological, social and cultural insights for understanding human behaviour in extreme events such as...
Deep Learning COVID-19 Humans Social Media SARS-CoV-2 Pandemics
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Hybrid Recommender System for Mental Illness Detection in Social Media Using Deep Learning Techniques.

Computational intelligence and neuroscience Jul 8, 2023
Recommender systems are chiefly renowned for their applicability in e-commerce sites and social media. For system optimization, this work introduces a method of behaviour pattern mining to analyze the person's mental stability. With the utilization o...
Social Media Data Mining Humans Algorithms Machine Learning Deep Learning
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On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19.

Scientific reports Jul 2, 2023
According to data from the U.S. Center for Disease Control and Prevention, as of June 2020, a significant number of African Americans had been infected with the coronavirus disease, experiencing disproportionately higher death rates compared to other...
United States Social Media Pandemics COVID-19 Black or African American Sentiment Analysis Humans
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AI model GPT-3 (dis)informs us better than humans.

Science advances Jun 28, 2023
Artificial intelligence (AI) is changing the way we create and evaluate information, and this is happening during an infodemic, which has been having marked effects on global health. Here, we evaluate whether recruited individuals can distinguish dis...
Humans Social Media Artificial Intelligence
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Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination: Unsupervised Deep Learning of Twitter Posts from 2017 to 2022.

Cyberpsychology, behavior and social networking Jun 26, 2023
Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are seeing new heights of vaccine hesitancy or refusal, and are experiencing a resurgence of measles infections as a consequence. With the use of novel machine lea...
Attitude Social Media Vaccines Deep Learning Vaccination Humans COVID-19
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Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning.

Journal of medical Internet research Jun 6, 2023
BACKGROUND: Shortly after the worst of the COVID-19 pandemic, an outbreak of mpox introduced another critical public health emergency. Like the COVID-19 pandemic, the mpox outbreak was characterized by a rising prevalence of public health misinformat...
Social Media Mpox, Monkeypox Homosexuality, Male Health Communication Sexual and Gender Minorities Disease Outbreaks Deep Learning Pandemics COVID-19 Humans Male Adult Public Health
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Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022.

Journal of medical Internet research Jun 2, 2023
BACKGROUND: Social media platforms have been increasingly used to express suicidal thoughts, feelings, and acts, raising public concerns over time. A large body of literature has explored the suicide risks identified by people's expressions on social...
Humans Japan Time Factors Deep Learning Social Media Suicide
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