Machine learning applications for COVID-19 outbreak management

A Heidari, N Jafari Navimipour, M Unal… - Neural Computing and …, 2022 - Springer
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 …

BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets

JH Joloudari, S Hussain, MA Nematollahi… - Social Network Analysis …, 2023 - Springer
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 …

Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations

S Shahriar, K Hayawi - arxiv preprint arxiv:2302.13817, 2023 - arxiv.org
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 …

Ethical implications of text generation in the age of artificial intelligence

L Illia, E Colleoni… - Business Ethics, the …, 2023 - Wiley Online Library
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 …

Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations

S Shahriar, K Hayawi - Artificial Intelligence and Applications, 2024 - ojs.bonviewpress.com
The advent of artificial intelligence-empowered chatbots capable of constructing human-like
sentences and articulating cohesive essays has captivated global interest. This paper …

Contrastive domain adaptation for early misinformation detection: A case study on covid-19

Z Yue, H Zeng, Z Kou, L Shang, D Wang - Proceedings of the 31st ACM …, 2022 - dl.acm.org
Despite recent progress in improving the performance of misinformation detection systems,
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

B He, M Ahamad, S Kumar - Proceedings of the ACM Web Conference …, 2023 - dl.acm.org
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 …

[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 …

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 …

MetaAdapt: Domain adaptive few-shot misinformation detection via meta learning

Z Yue, H Zeng, Y Zhang, L Shang, D Wang - arxiv preprint arxiv …, 2023 - arxiv.org
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 …