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Gen4DS: Workshop on Data Storytelling in an Era of Generative AI

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arxiv 2404.01622 v2 pith:YOK5KVUY submitted 2024-04-02 cs.HC cs.AIcs.GR

classification cs.HCcs.AIcs.GR
keywords datastorytellinggenerativequestionsworkshopbeencreationdiscuss
verification ladder T0 review T1 audit T2 compute T3 formal
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Storytelling is an ancient and precious human ability that has been rejuvenated in the digital age. Over the last decade, there has been a notable surge in the recognition and application of data storytelling, both in academia and industry. Recently, the rapid development of generative AI has brought new opportunities and challenges to this field, sparking numerous new questions. These questions may not necessarily be quickly transformed into papers, but we believe it is necessary to promptly discuss them to help the community better clarify important issues and research agendas for the future. We thus invite you to join our workshop (Gen4DS) to discuss questions such as: How can generative AI facilitate the creation of data stories? How might generative AI alter the workflow of data storytellers? What are the pitfalls and risks of incorporating AI in storytelling? We have designed both paper presentations and interactive activities (including hands-on creation, group discussion pods, and debates on controversial issues) for the workshop. We hope that participants will learn about the latest advances and pioneering work in data storytelling, engage in critical conversations with each other, and have an enjoyable, unforgettable, and meaningful experience at the event.

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  1. MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model

    cs.CL 2025-01 reject novelty 4.0 of 10

    MDSF is an LLM-based framework for automated data insight ranking and storytelling that, by its own reported results, does not outperform GPT-4 on ranking and most narrative metrics.

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