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The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
As a digital social medium, blogs have transformed into arenas where individuals can express their perspectives, concepts, and feelings. This...
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The meaningfulness gap in AI ethics: a guide on how to think through a complex challenge
Technological outsourcing is increasingly prevalent, with AI systems taking over many tasks once performed by humans. This shift has led to various...
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Swayed by leading questions
The use of leading questions as part of interrogation techniques and the factors associated with the witness suggestibility are well researched in...
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An effective computational and simulation study for population mean estimation on current occasion
In general, successive sampling is the procedure to study the effect of the change in a characteristic on different occasions. We have suggested a...
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Extending El-Hadri-Sahli-Hanafi procedure for path analysis with non standardized variables
Path analysis is a powerful statistical technique for studying both the direct and indirect causal relationships among observed variables. The...
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Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern classification
Using biased data to train Artificial Intelligence (AI) algorithms will lead to biased decisions, discriminating against certain groups or...
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Strategies for surveying platform workers: lessons from a Belgian case study
Job quality among platform workers has been high on labour market researchers’ agendas. Nevertheless, many report difficulties in collecting data for...
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Social Systems Theory and Family Business: A Perspective Article
This perspective article highlights the significance of systems-theoretical approaches within family business research. Extant systems-theoretical...
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Risk and artificial general intelligence
Artificial General Intelligence (AGI) is said to pose many risks, be they catastrophic, existential and otherwise. This paper discusses whether the...
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Unveiling AI in the courtroom: exploring ChatGPT’s impact on judicial decision-making through a pilot Colombian case study
This article examines the impact of ChatGPT on judicial reasoning, focusing on a recent Colombian case where the judge utilized ChatGPT in the...
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The work of art in the age of AI reproducibility
Walter Benjamin wrote his prophetic essay, “The Work of Art in the Age of Mechanical Reproduction,” almost a century ago, yet it is still pertinent...
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Decoding the black box: LIME-assisted understanding of Convolutional Neural Network (CNN) in classification of social media tweets
The rise of social media has brought both opportunities and challenges to the digital age, including the proliferation of online trolls that have...
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Optimized Skin Lesion Segmentation: Analysing DeepLabV3+ and ASSP Against Generative AI-Based Deep Learning Approach
Accurate skin lesion segmentation is an important task in dermatology for facilitating early diagnosis and treatment planning. The challenges in skin...
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Principal components-based quantification of hierarchical k-core assortativity
Hierarchical networks typically get rated to be not assortative on the basis of the degrees of the end vertices of the edges. However, degree...
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Extending a Model Language to Handle Entangled Concepts in Artificial Intelligence
In quantum information and computation, entanglement is a resource. When combining concepts, the application of entanglement outside of...
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Autonomous military systems beyond human control: putting an empirical perspective on value trade-offs for autonomous systems design in the military
The question of human control is a key concern in autonomous military systems debates. Our research qualitatively and quantitatively investigates...
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Intentionality gap and preter-intentionality in generative artificial intelligence
The emergence of generative artificial intelligence, such as large language models and text-to-image models, has had a profound impact on society....