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    Area of Science:

    • Data Visualization
    • Human-Computer Interaction
    • Digital Journalism

    Background:

    • Online news increasingly uses data journalism, incorporating visualizations into article thumbnail images.
    • Limited research exists on the design rationale behind these visualization thumbnails, including modifications like resizing, cropping, simplifying, and embellishing.
    • Understanding these design choices is crucial for creating engaging and interpretable thumbnails.

    Purpose of the Study:

    • To understand the design rationale for visualization thumbnails in online news.
    • To determine the factors that make visualization thumbnails inviting and interpretable.
    • To provide structured guidance for designing effective visualization thumbnails for data-rich news articles.

    Main Methods:

    • Surveyed existing visualization thumbnails from online news sources.
    • Conducted discussions with data journalists and news graphics designers on thumbnail practices.
    • Defined a design space for visualization thumbnails and performed a user study with four derived thumbnail types.

    Main Results:

    • Different chart components significantly impact reader attention and understandability of thumbnails.
    • Identified effective thumbnail design strategies, such as combining data summaries with highlights and labels.
    • Found that incorporating visual legends with text labels and Human Recognizable Objects (HROs) enhances thumbnail effectiveness.

    Conclusions:

    • Specific chart components and design strategies are vital for creating compelling visualization thumbnails.
    • The study offers design implications for creating effective thumbnails that attract readers and improve comprehension.
    • This research provides a foundational step towards structured guidance for data story thumbnails.