Translation - Information Matters

Information science is well-positioned to lead and critically inform the development of theoretical and technological frameworks that support information integrity and academic integrity. If we agree with the argument that generative AI tools and technologies share such high-level facets as people, information, data, technology, and their interaction with information science, then it is our responsibility to embrace the opportunities and address the emerging informational, social, ethical, and cultural challenges.

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September 21, 2023 Jutta Haider

What Is Infrastructural Meaning-Making and Why Do We Need It?

Not only is it becoming increasingly difficult to distinguish fact from opinion, but also to understand why certain content ends up in our feeds, recommendations or search results in the first place. Yet it’s more important than ever to understand it. This is where infrastructural meaning-making comes into play, and it’s something that the datafied society needs to understand.

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September 12, 2023 Nicole A. Cooke

The Colors of Disinformation

If we think about phrases, cliches, or old adages in the English language, many of them are rooted in a color, or the lack thereof. Many of these phrases also speak to the phenomenon of disinformation, its spread, and its entrenchment in our daily lives. This short essay will introduce several such colorful phrases.

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September 6, 2023 Boris Menin

Converging Horizons: Melding Bekenstein’s Bound and Landauer’s Principle

The integration of the Bekenstein bound and Landauer’s principle represents a milestone in comprehending the limits and principles governing information and energy. By weaving these concepts together, we illuminate pathways that span various disciplines, enriching our comprehension of the natural world’s intricacies.

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August 31, 2023 Anton Berg

Is the World Different Depending on Whose AI Is Looking at It? Comparing Image Recognition Services for Social Science Research

We examined the reliability of image recognition services by conducting a cross-comparison across three popular image recognition services: Google Vision AI, Microsoft Azure Computer Vision and AWS Rekognition.

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July 20, 2023 Boris Menin

The Comparative Uncertainty Criterion: A New Approach to Assessing Model Accuracy

The scientific community is currently grappling with a reproducibility crisis, marked by an alarming increase in the number of published articles that have been retracted due to errors or fraudulent practices. This crisis can be attributed to various factors, including the intense pressure to publish, insufficient training in research methods, and flaws in the peer review process.

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July 13, 2023 Anuoluwa Akinsola

Behavioral Economics in the Epoch of Technology: Decision-Making Processes

In the digital age, understanding decision-making processes has become increasingly vital. It is germane for individuals, businesses and managers to understand the complexities of overloaded data to navigate the information era properly and make intelligent decisions. The availability of information and the quick speed of technological improvements have substantially altered how decisions are made.