This study demonstrates the transformative power of art-based approaches in understanding and preserving cultural heritage. By fostering dialogue, empowering Indigenous voices, and creating new connections between past and present, art can play a vital role in reclaiming and revitalizing cultural traditions.
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In today’s fiercely competitive academic landscape, scholars must take active steps to increase their visibility in order to enhance professional recognition, attract collaborative opportunities, and secure career advancement. Universities striving for higher Webometrics rankings often overlook that an institution’s prestige is largely a reflection of its scholars’ individual growth and visibility. For an institution to ascend to global prominence, its scholars must excel in online presence, boosting their impact factor and h-index. This article outlines strategic approaches to increasing a scholar’s visibility, impact factor, and h-index, ultimately aiming for global recognition, including prestigious achievements such as the Nobel Prize.
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Since the launch of advanced Artificial Intelligence (AI) chatbots like OpenAI’s ChatGPT-3 in late 2022, these conversational tools have quickly become integral to our daily lives. They can answer questions, assist with tasks, and engage in friendly conversations—all in natural language, similar to chatting with a real person. However, this growing use of chatbots raises a significant concern: user privacy. This article explores the importance of user privacy when interacting with AI chatbots, what current research reveals about these concerns, and how future regulations might create a more secure digital environment.
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Our study aims to provide valuable insights that can help shape the future of scientific research and its role in society. By advocating for the recognition of diverse approaches to research, we hope to foster innovation and collaboration across fields, ultimately enhancing the societal relevance of scientific discoveries. The call to reevaluate how we assess scientific impact feels timely, especially as we face challenges such as climate change, health crises, and social inequality.
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The adoption of advanced technologies has become a crucial factor in the pedagogical transformation of today’s educational environment. As tertiary institutions strive to enhance lecture delivery mechanisms, artificial intelligence (AI) presents a revolutionary paradigm that extends beyond traditional instructional methods. The increasing reliance on digital tools necessitates a fresh examination of how AI can optimise the learning experience by offering personalised content and real-time feedback to facilitate deeper engagement.
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An old adage, often attributed to French writer Anaïs Nin, suggests we don’t see things as they are we see things as we are. Using deceptively simple words, the saying suggests that seeing is not just a process where wavelengths are converted to electric impulses that are then processed by the brain in mysterious ways to create what we then believe to see but rather that seeing, to some significant extent, is also a socially shaped and conditioned process, which is why it is relevant to information behavior research.
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One of the concerns is that Generative AI’s output in response to user prompts often draws from copyrighted works, eliciting a question nowadays: Can the content created by Generative AI qualify for copyright protection itself? Here, we strive to extend our insights into the question.
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The enduring human quest to understand if we are alone in the universe has driven the development of the Search for Extraterrestrial Intelligence (SETI) programs. These programs employ a diverse toolkit of techniques aimed at detecting potential technosignatures, or signals indicative of technological activity beyond Earth. Despite these advancements, traditional methods face inherent limitations, particularly regarding the selection of appropriate models to interpret experimental data. Traditional model selection methods often rely on researcher intuition and experience, introducing subjectivity and potential biases. To address these limitations, the Finite Information Quantity (FIQ) approach is presented as an objective solution for model selection. FIQ acknowledges the inherent constraints in information processing capacity within physical systems, providing objective criteria for evaluating different models. By considering comparative uncertainty, FIQ minimizes bias and promotes a more comprehensive understanding of phenomena.
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Being an expert in information should surely facilitate professional information practices. Librarians are often thought of as experts in searching for information for others, but what about their own ways of finding things out? Given their extensive education in information-related fields, such as information searching and assessment, one might question whether librarians consistently adhere to systematic and planned approaches in their information-seeking, as taught in library schools. Accordingly, we asked 800 Swedish public librarians questions revolving around the kind of information seeking and use they do in their daily work for their own or their work team’s sake.
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Living with other species isn’t just about companionship; it involves deep informational connections. Love plays a central role, helping humans and non-human animals understand and care for each other. It helps create meaningful information through daily interactions. Misunderstanding these connections can lead to problems, especially for the animals who have less power in this relationship.
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