Results 61 to 70 of about 1,354 (119)
Asia-Pacific Journal of Financial Studies, EarlyView.Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley +1 more source
International Journal of Management Reviews, EarlyView.Abstract The present article presents an integrative review related to stewardship in all the business and management disciplines, from its initial development in 1980 to the present. Specifically, we applied a latent Dirichlet allocation‐based topic modelling analysis to almost 1200 articles, seeking to creatively synthesize the concept of stewardship
Debora Casoli +3 more
wiley +1 more source
Information Systems Journal, EarlyView.ABSTRACT This study draws on Instagram‐related data to examine how and why the equity and equality principles of fairness govern police communication with socially disadvantaged neighbourhoods on social media. Using the computationally intensive theory construction methodology and drawing on institutional theory and the framework for the interplay of ...
Nataliya Berbyuk Lindström +2 more
wiley +1 more source
The Narrative Continent: Discursive Recognition and the EU's Technological Actorness
JCMS: Journal of Common Market Studies, EarlyView.Abstract Recognition in global politics is not only earned through institutions or capabilities; it is narrated into being. This article investigates how the European Union (EU) is framed as a technological actor in global discourse, focusing on the symbolic dynamics of discursive recognition.
Mahmoud Javadi
wiley +1 more source
Exploring Players’ Perspectives: A Comprehensive Topic Modeling Case Study on Elden Ring
InformationGame reviews heavily influence public perception. User feedback is crucial for developers, offering valuable insights to enhance game quality. In this research, Metacritic game reviews for Elden Ring were analyzed for topic modeling using Latent ...
Fatemeh Dehghani, Loutfouz Zaman
doaj +1 more source
Green Bond Paper Topics, Journal Metrics and Post‐publication Diffusion
Journal of Economic Surveys, EarlyView.ABSTRACT Green bonds are important financial instruments in sustainable finance, generating a rapidly expanding academic literature. This paper identifies the topics analyzed in green bond academic research and examines how these topics are associated with journal and post‐publication diffusion metrics. Using 1048 paper abstracts published between 2015
Paraic McGee, Tom Egan, Sheila O'Donohoe
wiley +1 more source
Frontiers in EndocrinologyBackgroundArtificial intelligence (AI) has rapidly integrated into thyroid nodule ultrasound diagnosis and malignant risk stratification, fostering a fast-growing interdisciplinary domain encompassing endocrinology, medical imaging, and computational ...
Xinxin Li +5 more
doaj +1 more source
The Racialisation of Rape: A Far‐Right Tool for Boundary‐Creation Across Borders
Nations and Nationalism, EarlyView.ABSTRACT Far‐right parties and movements have increasingly come to incorporate ideas of gender equality into their political agendas. While seemingly out of concern for women's rights and safety, these issues are in reality seldom more than a veil to further the stigmatisation of Muslim men.
Mathilda Åkerlund
wiley +1 more source
Governing Credit in the Digital Age: Public Perceptions and Engagement in China's Credit Systems
Regulation &Governance, EarlyView.ABSTRACT There is a global trend toward embedding personal credit systems and their scoring mechanisms within broader governance infrastructures. A prominent and controversial example is China's Social Credit System (SCS), which plays a central role in the country's data‐driven financial and social governance.
Mo Chen +2 more
wiley +1 more source
Improving optimal prompt learning through multilayer fusion and latent dirichlet allocation
Frontiers in Robotics and AIRecent advances in few-shot learning have demonstrated the potential of prompt-based techniques with pre-trained models, eliminating the need for extensive fine-tuning. However, challenges such as obtaining optimal prompts and addressing data scarcity in
Qinghua Chen +6 more
doaj +1 more source