Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets
The COVID-19 pandemic has led to the emergence of social media platforms as crucial
channels for the dissemination of information and public opinion. Comprehending the …
channels for the dissemination of information and public opinion. Comprehending the …
Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations
The emergence of an AI-powered chatbot that can generate human-like sentences and write
coherent essays has caught the world's attention. This paper discusses the historical …
coherent essays has caught the world's attention. This paper discusses the historical …
Ethical implications of text generation in the age of artificial intelligence
We are at a turning point in the debate on the ethics of Artificial Intelligence (AI) because we
are witnessing the rise of general‐purpose AI text agents such as GPT‐3 that can generate …
are witnessing the rise of general‐purpose AI text agents such as GPT‐3 that can generate …
Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations
The advent of artificial intelligence-empowered chatbots capable of constructing human-like
sentences and articulating cohesive essays has captivated global interest. This paper …
sentences and articulating cohesive essays has captivated global interest. This paper …
Contrastive domain adaptation for early misinformation detection: A case study on covid-19
Despite recent progress in improving the performance of misinformation detection systems,
classifying misinformation in an unseen domain remains an elusive challenge. To address …
classifying misinformation in an unseen domain remains an elusive challenge. To address …
Reinforcement learning-based counter-misinformation response generation: a case study of COVID-19 vaccine misinformation
The spread of online misinformation threatens public health, democracy, and the broader
society. While professional fact-checkers form the first line of defense by fact-checking …
society. While professional fact-checkers form the first line of defense by fact-checking …
[PDF][PDF] Ethical Implications of Generative AI in Art and the Media
B Vyas - … Journal for Multidisciplinary Research (IJFMR), E-ISSN, 2024 - researchgate.net
With the emergence of the use of Artificial Intelligence (AI), ethics in Art and the Media has
become more of a concern. The debate on the use of AI in Art and Media has reached its …
become more of a concern. The debate on the use of AI in Art and Media has reached its …
An exploratory study of tweets about the SARS-CoV-2 Omicron variant: Insights from sentiment analysis, language interpretation, source tracking, type classification …
N Thakur, CY Han - COVID, 2022 - mdpi.com
This paper presents the findings of an exploratory study on the continuously generating Big
Data on Twitter related to the sharing of information, news, views, opinions, ideas …
Data on Twitter related to the sharing of information, news, views, opinions, ideas …
MetaAdapt: Domain adaptive few-shot misinformation detection via meta learning
With emerging topics (eg, COVID-19) on social media as a source for the spreading
misinformation, overcoming the distributional shifts between the original training domain (ie …
misinformation, overcoming the distributional shifts between the original training domain (ie …