AIMC Topic: Social Media

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Explaining mobile government social media continuance from the valence perspective: A SEM-NN approach.

PloS one Feb 4, 2021
Different from many previous studies explain mobile social media usage from a technical-center perspective, the present study investigates the factors that influence citizens' mobile government social media (GSM) continuance based on the valence fram...
Neural Networks, Computer China Social Media
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Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning.

PloS one Feb 3, 2021
With all the recent attention focused on big data, it is easy to overlook that basic vital statistics remain difficult to obtain in most of the world. What makes this frustrating is that private companies hold potentially useful data, but it is not a...
Kenya City Planning Humans Accidents, Traffic Motorcycles Machine Learning Social Media
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Leveraging digital media data for pharmacovigilance.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
The development of novel drugs in response to changing clinical requirements is a complex and costly method with uncertain outcomes. Postmarket pharmacovigilance is essential as drugs often have under-reported side effects. This study intends to use ...
Humans Social Media Diagnostic Tests, Routine Internet Machine Learning Drug-Related Side Effects and Adverse Reactions Pharmacovigilance
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Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set.

Journal of medical Internet research Jan 22, 2021
BACKGROUND: In the United States, the rapidly evolving COVID-19 outbreak, the shortage of available testing, and the delay of test results present challenges for actively monitoring its spread based on testing alone.
Longitudinal Studies Social Media Natural Language Processing Speech United States Datasets as Topic Self Report Humans SARS-CoV-2 Disease Outbreaks COVID-19
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Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic.

Emergency radiology Jan 18, 2021
PURPOSE: The purpose of this study was to develop an automated process to analyze multimedia content on Twitter during the COVID-19 outbreak and classify content for radiological significance using deep learning (DL).
Pneumonia, Viral SARS-CoV-2 Deep Learning Social Media Pandemics COVID-19 Humans Software
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Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study.

Journal of medical Internet research Jan 6, 2021
BACKGROUND: Artificial intelligence (AI)-driven chatbots are increasingly being used in health care, but most chatbots are designed for a specific population and evaluated in controlled settings. There is little research documenting how health consum...
Artificial Intelligence Research Design Female Humans Social Media Adult Telemedicine Male
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A Novel Machine Learning Framework for Comparison of Viral COVID-19-Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis.

Journal of medical Internet research Jan 6, 2021
BACKGROUND: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and compare...
Pandemics Social Media COVID-19 SARS-CoV-2 Workflow Cluster Analysis Politics Humans Health Policy Machine Learning Health Communication
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Artificial Intelligence, Social Media and Depression. A New Concept of Health-Related Digital Autonomy.

The American journal of bioethics : AJOB Jan 4, 2021
The development of artificial intelligence (AI) in medicine raises fundamental ethical issues. As one example, AI systems in the field of mental health successfully detect signs of mental disorders, such as depression, by using data from social media...
Artificial Intelligence Delivery of Health Care Depression Mental Health Humans Social Media
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Utilizing deep learning and graph mining to identify drug use on Twitter data.

BMC medical informatics and decision making Dec 30, 2020
BACKGROUND: The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of a collected set of Twitter data, a model will be developed for predict...
Pharmaceutical Preparations Deep Learning Social Media Humans
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Subjective Well-Being of Chinese Sina Weibo Users in Residential Lockdown During the COVID-19 Pandemic: Machine Learning Analysis.

Journal of medical Internet research Dec 17, 2020
BACKGROUND: During the COVID-19 pandemic, residential lockdowns were implemented in numerous cities in China to contain the rapid spread of the disease. Although these stringent regulations effectively slowed the spread of COVID-19, they may have pos...
Social Media Quarantine Machine Learning Social Isolation Pandemics Asian People COVID-19 Middle Aged Humans China Aged Adult Algorithms Public Health Surveillance Aged, 80 and over Female Male Young Adult
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