Translation - Information Matters

In recent years, the growing demand for modeling complex systems has brought heterogeneous graph neural networks (HGNNs) into the spotlight. However, existing methods often suffer from fixed inference processes and spurious correlations, limiting their interpretability and generalization ability. To address these challenges, this study proposes a novel heterogeneous graph learning framework that simulates human perception and decision-making processes, enhancing both predictive performance and interpretability.

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December 5, 2024 Md Anwarul Islam

Exploring Women’s Health Information Literacy with AI: A South Asian Study

The relationship between AI and people’s health information is increasingly significant, and AI chatbot provides significantly more accurate answers to patients. However, while technology can help, it is up to people to decide how they want to use it. Even an AI tool like ChatGPT says “ChatGPT can make mistakes. Consider checking important information.” Using AI tools to make health-related decisions requires a good understanding of the information these tools provide. The project “AI and Health Information Literacy: A study exploring the perceived usefulness, and readiness among women in South Asia” aims to address the questions like “How do women in South Asia (SA) perceive the usefulness of AI in enhancing health information literacy?” and “What factors influence their readiness to adopt AI-driven health information technologies?”

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December 4, 2024 Jette Seiden Hyldegård

Information Avoidance: Out of the Shadow of Information Seeking

Up till now our understanding of information avoidance has remained fragmentary. Researchers have been unable to give a single coherent definition of what IA actually is. With our critical conceptual review of IA, we sought to address this oversight by theorizing IA as an instance of human information practice—distinct from, but co-existing dynamically with information seeking.

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November 21, 2024 Isto Huvila

Difficult to Know If You Can Rely on Or Use Your Data? Look for Paradata to Understand Better

These days, everything from the every day choices we make to major scientific discoveries is increasingly relying on data. But how often do we stop and ask: Can we trust this data? How was it created? Who has changed it and how? Why should—or should not—we rely on it?

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November 14, 2024 Madelyn Sanfilippo

Governing Misinformation

This translation of the authors’ recent ARIST review, “Sociotechnical Governance of Misinformation,” highlights the urgency and importance of empirical research on misinformation governance to inform decision-making and policy-making in support of a healthier information environment.

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November 5, 2024 Angel Ford

A New Critical Lens to Examine Factors Influencing Differences in Global Scholarly Communication Experiences

If scholars’ research outputs are high quality and add to knowledge in a field of scientific study, why should their geographical location or any aspect of their identity matter? Evidence demonstrates that cognitive and ideological differences are beneficial to research. Unfortunately, experience and the literature show differences between scholars’ geographical locations or their identities and their ability to obtain, produce, and distribute research outputs. The disparities can be described by focusing on geopolitical positions, such as low- and middle-income countries compared to high-income countries, or differences can be examined through a racial or ethnic lens, or any number of ways we identify individuals or groups of people.

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October 21, 2024 Jelina Haines

Reclaiming Cultural Heritage: An Art-Based Exploration of Indigenous Artifacts and Their Meanings

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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October 17, 2024 Azeez Adeoye

Unlocking Global Recognition: Strategies for 21st-Century Scholars to Boost Visibility, Impact Factor, and h-Index from Local to Nobel Laureate

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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October 16, 2024 Ece Gumusel

Are Chatbots Safe? A Look at User Privacy Concerns

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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October 9, 2024 Alex J. Yang

Can Disruptive Science Impact Technology and Society?

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.