Modern AI advancements are full of hopes and hypes and some horrors. The question is – can we address those horrors enough? Or is there a choice to make between autonomy and authority? How will that choice play out in a real world scenario?
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New, paradigm-changing technologies like ChatGPT provide us with a good opportunity to consider our professional identity and how we can grow as professionals.
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Despite the convenience and speed of online resources, school libraries continue to hold a significant place in fostering learning, critical thinking, and personal growth among students.
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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grappling with a reproducibility crisis, marked by an alarming increase in the number of published articles that have been retracted due to errors or fraudulent practices.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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Formulating a well-defined search query is one of the prominent success factors in getting relevant search results on any search system. However, no latest review or survey exists in the literature that studies query formulation from the perspective of book retrieval. The authors fill this literary gap by studying query formulation in light of research publications from 2007-22.
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Sentiment analysis provides insights that guide investment decisions by analysing and interpreting sentiment from textual data sources such as news articles, social media posts, and financial reports. However, using sentiment analysis to make financial decisions has its own set of issues and constraints.
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The concept that information possesses mass carries significant implications for our understanding of the universe. It suggests that the universe is even more enriched with information than previously believed, as the energy required to store information is directly proportional to its mass. This realization expands our perspective on the nature of information and its role in shaping the fabric of reality. Moreover, it has practical implications for future technologies, particularly in the domain of quantum computing.
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When it comes to translating data as evidence into compelling and memorable arguments, many people need some guidance about how to approach crafting a story. There is great potential for toolkits that would provide such guidance, giving advocates and data analysts tools for communicating data in story form. Data Storytelling is an emerging area in the information sciences, and the term as used here means any form of communication of data that uses narrative strategies or story structures.
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To date, the selection of AI tools has lagged behind work on other software-specific aspects of modern learning platform development. We designed a novel technology relevance assessment methodology based on an expert Delphi survey and multicriteria analysis. Then, we applied the results to plan further development of the prototype platform and to build its exploitation strategy. The lessons learned while planning and developing this platform can be applied to a large class of similar systems.
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The pragmatic value of data science for solving business problems has made it a rival or replacement for information science from an industry perspective. I reviewed numerous data science projects and interviewed numerous data science experts to understand the factors that make projects successful, but this work also revealed—by counterfactual reasoning and some confessions from the experts—why some data science projects fail. I identified seven causes of failure and I explain here how “information science thinking” can prevent or lessen these problems in data science projects.
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