Citizens act as co-creators who should collaborate with archivists to enrich AI-generated archival descriptions, by highlighting the symbolic and emotional aspects conveyed by these records. This role is complemented by that of citizens who serve as auditors, verifying the quality of the outputs generated by disruptive technologies.
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Translation: Turning Research into Impacts
Insiders and Outsiders in Science: A Framework Distinguishing Investigating and Investigated Countries in International Research Collaboration
For decades, discussions about international scientific collaboration have focused on questions such as: How many countries participate? How large are research teams? How diverse are collaborations? But a more fundamental question remains underexplored: Who is studying whom?
Reversing the Perspective: Sustainable Digital Heritage Practice Is Global Digital Future in the Making
Digital technologies are reshaping heritage practice at an unprecedented pace. Yet the promise of digital heritage — greater access, richer data, more durable preservation — remains unrealised due to fragmented infrastructure, absent standards culture, and a persistent mismatch between the logic of digital systems and the inherent complexity of heritage…
Trust and Generative AI in Organizational Communication and Culture
Written communication promotes understanding, conveys authority, and inspires action. In organizations, emails often serve as a proxy for leadership presence by setting a tone, articulating expectations, and reinforcing organizational culture. Increasingly, however, this communication is no longer written solely by the sender. With a simple prompt, generative AI can instantly…
The Chatbot Will See You Now: When Access Isn’t Enough
Digital healthcare can increase convenience, reduce travel time, and make services available to more people, more quickly. Patients can access test results, book appointments, renew prescriptions, and, in many countries, read their medical records online. Yet as healthcare becomes increasingly digital, I find myself asking a different question: who is…
When AI Output Becomes “Good Enough”: Not Everyone Evaluates AI the Same Way
Even when people use the same AI system, they do not evaluate AI-generated information in the same way. For example, imagine two students using Gemini or other generative AI tools for the same assignment and both receive nearly identical answers. One student quickly accepts the response and moves on. The…
Frontiers: Reaching Beyond Human Knowledge
AI, Information Shock, and a New Information Science
We are living in the early stages of an Information Shock caused by generative AI. Information Shocks are rare, but historically transformative. This one will require a reinvention of information science itself.
An Attempt at an Evolutionary Information Behavior Perspective on Social Media Overuse
Social media overuse and social media addiction are increasingly recognized as health concerns (Cherney 2020). We all have some idea what social media means and why it is so easy to lose time when doomscrolling but pinning down why social media platforms succeed at keeping us engaged is harder than…
Governance as Code: How AI is Enforcing Information Policies Directly in the Tech Stack
Traditional governance models, reliant on static documents and manual reviews, are fundamentally incompatible with the velocity and complexity of modern AI and software development. This paper examines the paradigm of “Governance as Code” (GaC), a transformative approach that embeds information policies, ethical guidelines, and compliance controls directly into the technology…
Opinion: Scholarly Ideas, Scientific Curiosity, Bold Propositions
Why Teach Strategic Foresight in Library and Information Science Now?
As the information environment continues to change through artificial intelligence, geopolitical shifts, demographic transformation, climate pressures, and economic uncertainty, strategic foresight can complement the knowledge and skills already central to LIS education. By helping future information professionals recognize emerging change, question assumptions, explore possibilities, and consider different futures, foresight offers…
Warrant After the Document: A Reply to Lankes’s Information Shock
R. David Lankes has written here and posted a preprint, submitted to the Journal of Documentation, arguing that generative AI is causing an “Information Shock”: a disruption so deep that it dissolves the document — the field’s organizing unit — and demands a new information science. It is the best…
Information Literacy: A Discipline for the Future
This special issue of Information Matters explores how the discipline of Information Literacy (IL) can develop: in the future, and for the future. The argument that IL is a subject of research and practice in its own right has been gaining ground, in particular with the formation in 2021 of…
Education: Bring Learning and Enlightenment to your Life
Reading for Pleasure and the School Library in India: A Review of the Evidence
This review asks what the current evidence says about reading for pleasure and the school library in India specifically, and draws on UK and international research only where it clarifies what is distinctive, or missing, in the Indian case.
Invisible Achievers No More: A Library Initiative for Building Belonging Among Distance Learners
Young and old, those seeking learning opportunities beyond traditional paths find Open Distance Learning (ODL) opportunities as their best resort. Distance learning open doors for a vast and diverse community to education yet leaves the student in isolation. Isolation in ODL is the physical and psychological disconnection a student experience…
When a Foreigner Shows Us Home: Filipino Provincial Culture as Public Knowledge on YouTube
This article explores how Jessica Lee’s Probinsya series transforms YouTube travel vlogging into a form of public knowledge production. Viewed through a foreigner’s perspective, familiar places are reintroduced with renewed curiosity and appreciation, encouraging Filipinos to see their own communities in a different light. By documenting provincial life and circulating…
Distorted Memory In the Digital World: The Vulnerability of Online Public Memory in the Philippines
Journalism is, by design, factual yet subjective to its meaning. Individuals favor the truth when it speaks for their personal interests—a quiet authority influencing what the public comes to accept as the truth. Set against the backdrop of political media in the Philippines, the public themselves maneuvers the normalities within…
Preparing the U.S. Workforce to Work Beside AI: The Skills That Will Matter Most
What skills will matter most when humans work beside machines? A look at what the research and US labor data tell us about preparing the next generation workforce.
Parents Want Help with Clearing Information Landmines: Information Literacy Programs for Parents of Children Under Twelve
Considering the ubiquity of devices available to children and content created for them, parents of children 12 and younger should be targeted as a specific group for new information literacy programs. A May 2025 Pew Research Center survey reported that parents of children 12 and younger allow their children to…
Spanish: Contenido en español
¿Qué significa ser inteligente?
En las últimas dos décadas, la IA ha avanzado a pasos agigantados hasta el punto de que estamos hablando seriamente de que es tan inteligente como los humanos o incluso que los supera. Pero antes de dejarnos llevar demasiado por esa emoción o ese miedo, es importante que miremos hacia…
Obsesión con los Robots Asesinos como Autorreflexión
Robots asesinos. Inteligencia artificial distópica. Rebeliones de máquinas. ¿Por qué nos fascina tanto la idea de que nuestros aparatos se vuelvan contra nosotros? En este artículo, desentraño nuestra obsesión con el ascenso de las máquinas y demuestro que gran parte de su atractivo es en realidad la proyección de nuestros…
Desarrollo de competencias de búsqueda de información en línea en escolares
las competencias para la investigación en línea de los estudiantes en Chile, no necesariamente están suficientemente desarrolladas para abordar sus tareas escolares.
Chinese Content
像人类一样感知：异构图中的结构因果模型学习
近年来，随着复杂系统建模需求的增长，异构图神经网络逐渐成为研究热点。然而，现有方法通常存在固定推理流程和虚假相关性等问题，限制了模型的可解释性和泛化能力。为此，我们提出了一种新颖的异构图学习框架，通过模拟人类感知与决策过程，增强对任务的预测性能与结果解释能力。 核心研究思路 我们提出的方法基于以下关键步骤： 1.语义变量构建：通过图模式与元路径提取出易于人类理解的语义变量，例如论文、作者和会议等。2.因果关系挖掘：采用结构方程模型，自动发现变量之间的因果关系，并利用学习到的因果关系进行预测。3.目标任务预测：通过逆推算法，将语义变量的因果关系转化为目标任务的预测结果。 数据集与实验验证 研究在三个公开数据集（DBLP、ACM和IMDB）上进行了验证，这些数据集涵盖学术、社交和电影推荐等多种场景： DBLP：预测作者的研究领域。ACM：预测论文的学术类别。IMDB：预测电影的类型。 通过引入三种偏差（同质性、度分布、特征分布），验证了模型在不同数据分布下的泛化能力。实验表明，提出的模型在所有设置下表现稳定，泛化能力显著优于现有方法。 主要研究成果 1.泛化性：模型在不同偏差条件下保持较高的预测性能，表现出卓越的适应能力。 2.可解释性：通过因果关系图清晰展示变量间的影响逻辑。例如，作者研究领域与发表论文的会议密切相关，模型捕捉到这一直观规律，并验证了因果推理结果与专家经验的一致性。 实际应用前景 该框架在技术挖掘、金融分析、政策评估等领域具有广泛应用潜力。例如，通过因果关系图辅助技术创新决策，或在金融分析中解释影响因素以提升透明度。此外，其高度可解释性为改进模型逻辑、提升可信度提供了可能性。 总结 异构图学习正在为复杂系统建模与分析带来新的可能性。本研究通过结合因果推理技术与异构图神经网络，不仅实现了对复杂任务的准确预测，还增强了对模型推理过程的理解，为人工智能在实际问题中的应用提供了新的视角。 本文基于以下成果写作完成： Lin, T., Song, K., Jiang, Z., Kang, Y., Yuan, W., Li, X., … & Liu, X. (2024). Towards human-like perception: Learning structural causal model in heterogeneous graph. Information Processing & Management, 61(2), 103600. APA引用格式： Jiang, Z.
跨学科协作下的文化传承：历代古籍目录的数据管护
自先秦诸子开宗立派、传授学说以来，历代学者承袭旧学，开辟新篇，所著经史辞章，累若山海。因此，目录之学成为“学中第一紧要事”，古代读书人从目录中获得“即类求书，因书究学”的治学要领；今天要进入古籍的世界，我们更需要问途于目录。
