Understanding patterns of COVID infodemic: A systematic and pragmatic approach to curb fake news

A Gupta, H Li, A Farnoush, W Jiang - Journal of business research, 2022 - Elsevier
Amid the flood of fake news on Coronavirus disease of 2019 (COVID-19), now referred to as
COVID-19 infodemic, it is critical to understand the nature and characteristics of COVID-19 …

[HTML][HTML] Fusing domain knowledge with machine learning: A public sector perspective

L Sundberg, J Holmström - The Journal of Strategic Information Systems, 2024 - Elsevier
Abstract Machine learning (ML) offers widely-recognized, but complex, opportunities for both
public and private sector organizations to generate value from data. A key requirement is …

Smart cities and the IoT: An in-depth analysis of global research trends and future directions

V Bhardwaj, A Anooja, LS Vermani, Sunita… - Discover Internet of …, 2024 - Springer
Extensive scientific investigation is necessary because every government wants to construct
smart cities. This is why examining how researchers approach this area of study is critical …

Shades of fake news: How fallacies influence consumers' perception

S Beisecker, C Schlereth, S Hein - European Journal of Information …, 2024 - Taylor & Francis
So far, fake news has been mostly associated with fabricated content that intends to
manipulate or shape opinions. In this manuscript, we aim to establish that the perception of …

[PDF][PDF] Achieving Sustainability with Artificial Intelligence-A Survey of Information Systems Research.

T Schoormann, G Strobel, F Möller, D Petrik - ICIS, 2021 - researchgate.net
Understanding the role of Artificial Intelligence (AI) is crucial to contribute to sustainable
development including the most fundamental challenges of our society, such as climate …

Responsible natural language processing: A principlist framework for social benefits

RK Behera, PK Bala, NP Rana, Z Irani - Technological Forecasting and …, 2023 - Elsevier
Businesses harness the power of natural language processing (NLP) to automate processes
and make data-driven decisions. However, NLP raises concerns on a number of fronts due …

Recent advances in applications of machine learning in reward crowdfunding success forecasting

GDC Cavalcanti, W Mendes-Da-Silva… - Neural Computing and …, 2024 - Springer
Entrepreneurs and small businesses have increasingly used reward-based crowdfunding to
raise capital for their creative projects, whose success is central to this industry. Thus …

Data driven identification of international cutting edge science and technologies using SpaCy

C Hu, H Gong, Y He - Plos one, 2022 - journals.plos.org
Difficulties in collecting, processing, and identifying massive data have slowed research on
cutting-edge science and technology hotspots. Promoting these technologies will not be …

Examining the dimensions of adopting natural language processing and big data analytics applications in firms

S Chatterjee, R Chaudhuri… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Big data analytics (BDA) is an advanced analytic technique used with very large and diverse
sets of data from different sources. Natural language processing (NLP) is a technology that …

Automated use case diagram generator using NLP and ML

RP Dias, CSL Vidanapathirana, R Weerasinghe… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper presents a novel approach to generate a use case diagram by analyzing the
given user story using NLP and ML. Use case diagrams play a major role in the designing …