Results 211 to 220 of about 44,932 (315)

Media Coverage of European Funds and Public Sentiment: A Topic Modelling Approach

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT We study the coverage of European funds by the mass media and the relationship between media sentiment and public sentiment. We analyze 31,570 media articles published across all European Union (EU) countries between January 1, 2020, and December 31, 2023 — a period significantly shaped by the COVID‐19 pandemic and major EU funding initiatives
Iván Pastor Sanz   +1 more
wiley   +1 more source

Evaluating language policy implementation in South African higher education - three decades of progress and challenges: A scoping review protocol. [PDF]

open access: yesPLoS One
Ngcobo SJ   +8 more
europepmc   +1 more source

Examining the Impact of ESG News Sentiment on Corporate Performance: A Comprehensive Analysis by News Topic and Industry

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT This study examines the relationship between ESG news sentiment and corporate performance through the lens of stakeholder theory. While ESG ratings face significant limitations, including measurement inconsistencies and time lags, news sentiment analysis offers insights into internal and external stakeholder responses to ESG activities.
Jeong‐Ji Han   +2 more
wiley   +1 more source

A topological exploration of convergence/divergence of human‐mediated and algorithmically mediated pedagogy

open access: yesBritish Journal of Educational Technology, EarlyView.
We explore a topological model that situates teachers' agency as a constituent element within the convergent and divergent dynamics at the intersection of human‐mediated and algorithmically mediated pedagogies. Ubiquitous AI in education is designed to simulate, emulate and automate human processes and behaviours through datafication.
Keith Turvey, Norbert Pachler
wiley   +1 more source

Assessing novelty, feasibility and value of creative ideas with an unsupervised approach using GPT‐4

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Creativity is defined by three key factors: novelty, feasibility and value. While many creativity tests focus primarily on novelty, they often neglect feasibility and value, thereby limiting their reflection of real‐world creativity. In this study, we employ GPT‐4, a large language model, to assess these three dimensions in a Japanese‐language
Felix B. Kern   +2 more
wiley   +1 more source

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