AIMC Topic: Social Media

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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...
Disease Outbreaks Deep Learning Male Public Health Social Media Humans Mpox, Monkeypox Pandemics Homosexuality, Male Health Communication COVID-19 Sexual and Gender Minorities Adult
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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 Deep Learning Social Media Japan Suicide Time Factors
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Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation.

PloS one Apr 27, 2023
BACKGROUND: Public satisfaction is the ultimate goal and an important determinant of China's urban regeneration plan. This study is the first to use massive data to perform sentiment analysis of public comments on China's urban regeneration.
Attitude Humans Regeneration Sentiment Analysis China Hong Kong Social Media
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Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy.

Computers in biology and medicine Apr 5, 2023
The paper proposes a methodology based on Natural Language Processing (NLP) and Sentiment Analysis (SA) to get insights into sentiments and opinions toward COVID-19 vaccination in Italy. The studied dataset consists of vaccine-related tweets publishe...
COVID-19 Vaccines Social Media Humans COVID-19 Sentiment Analysis Italy Attitude
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A Deep Learning Framework for News Readers' Emotion Prediction Based on Features From News Article and Pseudo Comments.

IEEE transactions on cybernetics Mar 16, 2023
With the rapid development of the Internet, readers tend to share their views and emotions about news events. Predicting these emotions provides a vital role in social media applications (e.g., sentiment retrieval, opinion summary, and election predi...
Humans Deep Learning Emotions Social Media
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Qualitative and Artificial Intelligence-based Sentiment Analyses of Anti-LGBTI+ Hate Speech on Twitter in Turkey.

Issues in mental health nursing Jan 20, 2023
The aim of this study was to evaluate hate speech in Turkish LGBTI+-related tweets during a one-month period of artificial intelligence-based sentiment analyses. Turkish tweets related to LGBTI+, were retrieved using Python library Tweepy and were ev...
Hate Sentiment Analysis Social Media Turkey Artificial Intelligence Humans Speech
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A Sentiment Analysis Anomaly Detection System for Cyber Intelligence.

International journal of neural systems Dec 31, 2022
Considering the 2030 United Nations intent of world connection, Cyber Intelligence becomes the main area of the human dimension able of inflicting changes in geopolitical dynamics. In cyberspace, the new battlefield is the mind of people including ne...
Humans Sentiment Analysis Social Media Intention Intelligence Attitude
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A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media.

Sensors (Basel, Switzerland) Dec 15, 2022
Hashtags have been an integral element of social media platforms over the years and are widely used by users to promote, organize and connect users. Despite the intensive use of hashtags, there is no basis for using congruous tags, which causes the c...
Humans Deep Learning Social Media
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Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data.

Sensors (Basel, Switzerland) Dec 13, 2022
In today's world, mental health diseases have become highly prevalent, and depression is one of the mental health problems that has become widespread. According to WHO reports, depression is the second-leading cause of the global burden of diseases. ...
Humans Mental Disorders Depression Social Media Male Semantics Female Deep Learning Mental Health
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Public perception of metaverse and mental health on Twitter: A sentiment analysis.

Progress in cardiovascular diseases Nov 26, 2022
Sentiment Analysis Social Media Humans Public Opinion Mental Health
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