Translation - Information Matters

In an era where digital platforms dominate the exchange of ideas and services, knowledge influencers have emerged as a distinct phenomenon, blending expertise with online engagement to create and monetize knowledge-intensive content. Unlike conventional influencers who primarily endorse consumer goods, knowledge influencers focus on delivering value through educational and professional insights, shaping user behaviors and driving subscriptions to self-created knowledge products.

Translation

January 8, 2025 Wenqi Li

Curating Chinese Ancient Book Catalogs through Interdisciplinary Collaboration

Chinese scholars have consistently built upon past knowledge to create new intellectual works. Over the centuries, these efforts have yielded a vast sea of literature spanning classics, histories, and literary compositions. Consequently, bibliography or book catalogs has long been regarded as a critical discipline—“the entry point to scholarship.” Ancient scholars relied on catalogs to locate texts and delve into learning. Today, as we explore the world of ancient Chinese books, catalogs remain indispensable guides.

Translation

January 7, 2025 Björn Ekström

Can the Exposition of Paradata Lead to Participant Diversity in Biodiversity Citizen Science?

Newcomers to voluntary environmental monitoring tend to struggle with continued engagement as current research indicates that young participants’ pace of reporting species slows down over time. Arguably, disclosing paradata—simply put, descriptions of data, information and knowledge processes—in information systems for reporting sightings can foster continued learning and mitigate a possible lack of motivation among participants.

Featured Translation

December 11, 2024 Zhuoren Jiang

Towards human-like perception: Learning structural causal model in heterogeneous graph

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.

Translation

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?”

Translation

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.

Featured Translation

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?

Featured Translation

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.

Featured Translation

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.

Featured Translation

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.