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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Not everyone has the time and money to book a flight across the world to look at an artifact in person, so how do researchers with limited funding access one-of-a-kind resources? The Internet is a godsend for collaboration, letting us share photos of ancient pottery fragments, 3D scans of mummified tissue, and create virtual tours of ancient Egyptian tombs. However, sharing becomes a little more complicated when that artifact contains thousands of individual pages in 61 diaries, handwritten by a steamship clerk living in nineteenth-century Iraq. The Svoboda Diaries Project (SDP) focuses on exactly that. For nearly two decades, this project has used new and exciting digital preservation methods and extensive collaboration to make these diaries accessible to everyone.
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Tinnitus can affect concentration, sleep, communication and result in heightened stress, anxiety, and depression, but an effective treatment remains elusive. A promising treatment option, one that has the support of experts from various domains, is that of smartphone applications for mitigating tinnitus-related symptoms. To work around the shortcomings of the existing tinnitus apps, we propose implementing improvements from an information science perspective to enhance user experience.
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Critical data modeling uses tools from data modeling and systems analysis to analyze information systems, connecting social critiques to the structure of digital information systems and data objects.
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The Open Access movement is the movement to make available or publish scholarly literature on the internet to readers free of charge and free of unnecessary licensing restrictions.
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Some people use social media, cookbooks, food media, and so on to plan their menus or learn to cook. Here, we pay attention to the intersections between consumers who live alone, their approaches to seeking food preparation information, and variations in their search practices.
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In a recent paper published in Computers in Human Behaviour, we explored user engagement and disengagement, uncovering common misconceptions.
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Listen to this episode of the fireside chat series, InfoFire by Information Matters, with Professor Mike Eisenberg, dean emeritus, University of Washington Information School.
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We are giving up more and more agency and control to AI systems as we build more trust in them. But there are dangers to doing so—both for the users and the systems. We need a better understanding of this trust and the inner workings of the systems to create a sustainable future.
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We are addicted to online information access, devices, and services. Breaking away from this addiction is not going to be easy, but we can learn some lessons from how we changed our tobacco consumption behavior over decades.
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