AIMC Topic: Social Media

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Comparative Analysis of Deepfake Image Detection Method Using Convolutional Neural Network.

Computational intelligence and neuroscience Dec 16, 2021
Generation Z is a data-driven generation. Everyone has the entirety of humanity's knowledge in their hands. The technological possibilities are endless. However, we use and misuse this blessing to face swap using deepfake. Deepfake is an emerging sub...
Machine Learning Humans ROC Curve Neural Networks, Computer Social Media Artificial Intelligence
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Twitter sentiment analysis from Iran about COVID 19 vaccine.

Diabetes & metabolic syndrome Dec 13, 2021
BACKGROUND AND AIMS: The development of vaccines against COVID-19 has been a global purpose since the World Health Organization declared the pandemic. People usually use social media, especially Twitter, to transfer knowledge and beliefs on global co...
SARS-CoV-2 COVID-19 Vaccines Vaccination Social Media Humans Pandemics COVID-19 Vaccination Hesitancy Iran Federal Government Attitude to Health Public Opinion International Cooperation Sentiment Analysis
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Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data.

Computational and mathematical methods in medicine Dec 2, 2021
The COVID-19 pandemic has had a devastating effect on many people, creating severe anxiety, fear, and complicated feelings or emotions. After the initiation of vaccinations against coronavirus, people's feelings have become more diverse and complex. ...
Humans Social Media Sentiment Analysis COVID-19 Vaccines Neural Networks, Computer Reproducibility of Results Attitude Vaccination COVID-19 Deep Learning Models, Statistical Public Opinion Attitude to Health Databases, Factual Language
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Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data.

Computational and mathematical methods in medicine Nov 30, 2021
The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstra...
Travel Geographic Information Systems Social Networking Spatio-Temporal Analysis Humans Social Media China Machine Learning Seasons Cities Big Data Data Mining Computational Biology Decision Trees
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Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.

Journal of medical Internet research Nov 29, 2021
BACKGROUND: There is a limited amount of data on the safety profile of the COVID-19 vector vaccine Gam-COVID-Vac (Sputnik V). Previous infodemiology studies showed that social media discourse could be analyzed to assess the most concerning adverse ev...
Aged Male Deep Learning Vaccines Russia COVID-19 Vaccines Humans Social Media Female COVID-19 SARS-CoV-2
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Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches.

Computational and mathematical methods in medicine Nov 15, 2021
A vast amount of data is generated every second for microblogs, content sharing via social media sites, and social networking. Twitter is an essential popular microblog where people voice their opinions about daily issues. Recently, analyzing these o...
Humans Algorithms Databases, Factual Neural Networks, Computer COVID-19 Decision Trees Social Media Natural Language Processing Computational Biology Logistic Models Bayes Theorem SARS-CoV-2 Support Vector Machine Social Networking Disinformation Models, Statistical Deep Learning
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A clinical specific BERT developed using a huge Japanese clinical text corpus.

PloS one Nov 9, 2021
Generalized language models that are pre-trained with a large corpus have achieved great performance on natural language tasks. While many pre-trained transformers for English are published, few models are available for Japanese text, especially in c...
Datasets as Topic Language Social Media Hospitals Natural Language Processing Japan
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Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes.

Journal of medical Internet research Sep 15, 2021
BACKGROUND: Many social media studies have explored the ability of thematic structures, such as hashtags and subreddits, to identify information related to a wide variety of mental health disorders. However, studies and models trained on specific the...
Deep Learning Adolescent United States Ethanol Humans Social Media Natural Language Processing Alcohol Drinking
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COVID-19 sentiment analysis via deep learning during the rise of novel cases.

PloS one Aug 19, 2021
Social scientists and psychologists take interest in understanding how people express emotions and sentiments when dealing with catastrophic events such as natural disasters, political unrest, and terrorism. The COVID-19 pandemic is a catastrophic ev...
COVID-19 SARS-CoV-2 Deep Learning Models, Biological Models, Psychological India Social Media Humans Pandemics
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Dynamic graph convolutional networks with attention mechanism for rumor detection on social media.

PloS one Aug 18, 2021
Social media has become an ideal platform for the propagation of rumors, fake news, and misinformation. Rumors on social media not only mislead online users but also affect the real world immensely. Thus, detecting the rumors and preventing their spr...
Disinformation Models, Theoretical Social Media Information Dissemination Humans Neural Networks, Computer Communication Human Activities Recognition, Psychology
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