This article attends to tensions and negotiations surrounding the introduction and development of a news-ranking algorithm in a Swedish daily. Approaching algorithms as culture, being composed of collective human prac...
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This article attends to tensions and negotiations surrounding the introduction and development of a news-ranking algorithm in a Swedish daily. Approaching algorithms as culture, being composed of collective human practices, the study emphasizes socio-institutional dynamics in the everyday life of the algorithm. The focus on tensions and negotiations is justified from an institutional perspective and operationalized through an analytical framework of logics. Empirically the study is based on interviews with 14 different in-house workers at the daily, journalists as well as programmers and market actors. The study shows that logics connected to both journalism and programming co-developed the news-ranking algorithm. Tensions and their negotiations around these logics contributed to its very development. One example is labeling of the algorithm as editor-led, allowing journalists to oversee some of its parameters. Social practices in the newsroom, such as algorithm-Coffee, was also important for its development. In other words, different actors, tensions between them and how these were negotiated, co-constituted by the algorithm itself.
Based on the Modality-Agency-Interactivity-Navigability model and the anthropomorphism theory, this study examines whether embedding human-like characteristics in algorithms increases the persuasiveness of algorithm-w...
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Based on the Modality-Agency-Interactivity-Navigability model and the anthropomorphism theory, this study examines whether embedding human-like characteristics in algorithms increases the persuasiveness of algorithm-written news. This study further investigates how different types of relationships (servant or friend) that human writers form with algorithms determine the persuasiveness of algorithm-generated news. Experiment 1 demonstrated that participants who read the human- and humanized algorithm-written news showed greater emotional involvement in the stories and liked the articles more than those who read the algorithm-written news. The participants also reported that news written by humans, humanized algorithms, and algorithms, had equal news credibility. Experiment 2 further showed that the participants perceived the news as more credible and experienced greater degrees of emotional involvement when human writers formed a partner-to-friend relationship with humanized algorithms while generating news rather than a servant-to-master relationship.
Modeling methods and algorithms for analog-to-digital conversion of information in control systems are significant components in the development and design of devices for analog signals digitizing. This process involv...
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There are some problems about slope cutting and building, just like much risk areas in the research area, much difficulties in field investigation, and urgent risk warning. This paper based on LIDAR point cloud, intro...
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The Coronavirus Disease 2019 (COVID-19) epidemic is causing once-in-a-century upheavals in global civilization. Payment systems have advanced lately, from simple cash or credit card transactions to various forms of mo...
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The Coronavirus Disease 2019 (COVID-19) epidemic is causing once-in-a-century upheavals in global civilization. Payment systems have advanced lately, from simple cash or credit card transactions to various forms of mobile payment systems. This transformation is occurred due to COVID 19 and shifts in the economy, the growth of social networks, technical advancements on the Internet, and the increased usage of mobile devices. Throughout COVID19, this article offers a unique approach to the payment scheduling issue, which seeks out a timetable that enhances the project's stakeholders' benefit. Both the sponsor and the contractor in a project want to have a strong payment plan on their own. To create an equal schedule between the sponsor and the development team, the timing of payments and the completion periods of project activities are decided concurrently. The Harris hawks optimization method is designed to tackle the problem because of its high NP-hardness. Harris hawks optimization is a novel meta-heuristic nature-inspired optimizer inspired by how Harris hawks hunt food in nature. By comparing the suggested Harris hawks optimization optimizer to existing nature-inspired methods, the efficacy of the suggested Harris hawks optimization optimizer is determined. The Harris hawks optimization algorithm appears to be highly promising based on the statistical findings and comparisons. The MATLAB simulator's simulation findings confirm the algorithm's superiority over earlier efforts regarding energy, cost, delay time, and net value.
Background: Tibial malunion and nonunion are complications that may follow the repair of traumatic tibial shaft fractures. Management may sometime require osteotomy and bone transport. In recent years, there has been ...
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Sorting algorithms are essential for organizing data in a specific order, making them a critical component of computing processes. Due to their significance, many researchers have developed various sorting techniques ...
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Proximal humerus fractures are a common injury with increasing incidence. The current S1 guideline "Fracture of the humeral head" of the German Trauma Society (DGU), which is the lead organization, states th...
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Proximal humerus fractures are a common injury with increasing incidence. The current S1 guideline "Fracture of the humeral head" of the German Trauma Society (DGU), which is the lead organization, states that the majority of these fractures can be treated conservatively. However, the question arises as to how exactly this conservative treatment can be managed. National and international differences in treatment underline inconsistent management and the lack of consensus in the treatment of this very common injury. The following article provides insight into the authors' experience and presents a possible decision aid suitable for everyday use, with which this steadily increasing type of injury can be successfully treated conservatively. The experience is based on a patient flow of more than 200 patients per year at a level 1 trauma center, of which between 01/2016 and 09/2021 about 80% could be successfully treated conservatively each year and were systematically followed up in a prospective observational study, the Hannover Humerus Registry (*** Identifier: NCT03060876).
Current few-shot image classification algorithm cannot sufficiently extract features, the generalization ability of the model is weak, and the classification accuracy is low. In response to this problem, a few-shot im...
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ISBN:
(纸本)9798350310801
Current few-shot image classification algorithm cannot sufficiently extract features, the generalization ability of the model is weak, and the classification accuracy is low. In response to this problem, a few-shot image classification algorithm was proposed with multi-scale attention and residual connection based on Relation Network in this paper. The introduction of multi-scale attention can extract more important image features, and the residual connection in the model can transfer the shallow feature information to the deep, thereby enhancing the generalization ability of the model. Compared with Relation Network, the image classification accuracy of our method was significantly improved on the MiniImageNet and Omniglot dataset. Experimental results show that the introduction of multi-scale attention and residual connection can effectively improve the accuracy of few-shot image classification.
Background and objective: Acute aortic syndrome (AAS) is uncommon and difficult to diagnose, with great variability in clinical presentation. To develop a computerized algorithm, or clinical decision support system (C...
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Background and objective: Acute aortic syndrome (AAS) is uncommon and difficult to diagnose, with great variability in clinical presentation. To develop a computerized algorithm, or clinical decision support system (CDSS), for managing and requesting imaging in the emergency department, specifically computerized tomography of the aorta (CTA), when there is suspicion of AAS, and to determine the effect of implementing this system. To determine the factors associated with a positive radiological diagnosis that improve the predictive capacity of CTA findings. Materials and methods: After developing and implementing an evidence-based algorithm, we studied suspected cases of AAS. Chi-squared test was used to analyze the association between the variables included in the algorithm and radiological diagnosis, with 3 categories: no relevant findings, positive for AAS, and alternative diagnoses. Results: 130 requests were identified;19 (14.6%) had AAS and 34 (26.2%) had a different acute pathology. Of the 19 with AAS, 15 had been stratified as high risk and 4 as intermediate risk. The probability of AAS was 3.4 times higher in patients with known aortic aneurysm (P = .021, 95% CI 1.2-9.6) and 5.1 times higher in patients with a new aortic regurgitation murmur (P = .019, 95% CI 1.3-20.1). The probability of having an alternative severe acute pathology was 3.2 times higher in patients with hypotension or shock (P = .02, 95% CI 1.2-8.5). Conclusion: The use of a CDSS in the emergency department can help optimize AAS diagnosis. The presence of a known aortic aneurysm and new-onset aortic regurgitation were shown to significantly increase the probability of AAS. Further studies are needed to establish a clinical prediction rule. (c) 2022 SERAM. Published by Elsevier Espana, S.L.U. All rights reserved.
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