Spreadsheets, Software, Storytelling, Visualization, Lifelong Learning: Essential Data Skills for Journalism and Strategic Communication Students

Bobkowski, Piotr S.; Etheridge, Christopher E.

doi:10.1177/10755470221147887

Cited by 4 publications

(1 citation statement)

References 40 publications

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“…The visualization of data journalism means that the information content contains a variety of visual elements, such as text, images, and colors, which makes the content of the text more graphic and allows it to be dynamically displayed in front of the audience [4][5][6]. Data news further expands the spatial scope of news dissemination and enhances people's perception of news [7]. After the visualization operation, data news uses the self-media platform to obtain readers' personalized needs so as to customize news information and realize news value [8].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the visual communication path of data news in the context of the Internet

Cao

2023

Applied Mathematics and Nonlinear Sciences

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Visual news belongs to a kind of data news, which uses emerging technology to bring users a new reading experience and improve the news dissemination effect. In this paper, we utilize the self-attention mechanism and BiLSTM model to extract the content of data news documents and select and classify the audio features of data news by the AdaBoost algorithm. ResNet50 is used as the backbone network, combined with multiple residual unit modules for news multi-scale image feature extraction, and the text, audio and image features of the data news are fused by constructing a multimodal feature adaptive fusion model to further optimize the visual display of the data news. This paper verifies the model’s effectiveness for the data news visualization technique through multiple perspectives, including training loss curve, performance comparison, and ablation experiment. The results show that the loss value of the model based on the Self-Attention-BiLSTM model for news text feature extraction is 0.211 after 150 iterations. The AdaBoost-based news audio feature classification method has an average classification accuracy of 97.56% for the positive diagonal when the noise is raised from 0dB to 30 dB. By adding the residual unit module to the ResNet50 backbone network, the accuracy of the multi-scale image feature extraction model has been improved by 2.77% compared to the single backbone network. The information age requires the full integration of technology and news and combining the corresponding Internet platform for the visual display of data news in order to promote the expansion of the visual communication path of data news.

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Section: Introductionmentioning

confidence: 99%

Optimization of the visual communication path of data news in the context of the Internet

Cao

2023

Applied Mathematics and Nonlinear Sciences

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A data-centric approach for ethical and trustworthy AI in journalism

Dierickx,

Opdahl,

Khan

et al. 2024

Ethics Inf Technol

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AI-driven journalism refers to various methods and tools for gathering, verifying, producing, and distributing news information. Their potential is to extend human capabilities and create new forms of augmented journalism. Although scholars agreed on the necessity to embed journalistic values in these systems to make AI systems accountable, less attention was paid to data quality, while the results’ accuracy and efficiency depend on high-quality data in any machine learning task. Assessing data quality in the context of AI-driven journalism requires a broader and interdisciplinary approach, relying on the challenges of data quality in machine learning and the ethical challenges of using machine learning in journalism. To better identify these, we propose a data quality assessment framework to support the collection and pre-processing stages in machine learning. It relies on three of the core principles of ethical journalism—accuracy, fairness, and transparency—and participates in the shift from model-centric to data-centric AI, by focusing on data quality to reduce reliance on large datasets with errors, making data labelling consistent, and better integrating journalistic knowledge.

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Awareness, application, augmentation: An approach to data literacy education in academic libraries

Clemons,

Gross,

Young

et al. 2024

Public Services Quarterly

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Spreadsheets, Software, Storytelling, Visualization, Lifelong Learning: Essential Data Skills for Journalism and Strategic Communication Students

Cited by 4 publications

References 40 publications

Optimization of the visual communication path of data news in the context of the Internet

Optimization of the visual communication path of data news in the context of the Internet

A data-centric approach for ethical and trustworthy AI in journalism

Awareness, application, augmentation: An approach to data literacy education in academic libraries

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