# Reflection on Data Storytelling Tools in the Generative AI Era from the Human-AI Collaboration Perspective

arXiv: https://arxiv.org/abs/2503.02631 · HTML: https://mlsanity.com/paper/2503.02631/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 40 of its 76 references that are in the map.
- First posted on arXiv 4 Mar 2025.

## Builds on (most cited first, 30 of 40)

- [Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena](https://mlsanity.com/paper/2306.05685/) (2023)
- [LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models](https://mlsanity.com/paper/2303.02927/) (2023)
- [AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization](https://mlsanity.com/paper/2102.01330/) (2021)
- [Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements](https://mlsanity.com/paper/1907.09091/) (2019)
- [Calliope: Automatic Visual Data Story Generation from a Spreadsheet](https://mlsanity.com/paper/2010.09975/) (2020)
- [DataTales: Investigating the use of Large Language Models for Authoring Data-Driven Articles](https://mlsanity.com/paper/2308.04076/) (2023)
- [LEVA: Using Large Language Models to Enhance Visual Analytics](https://mlsanity.com/paper/2403.05816/) (2024)
- [Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Design](https://mlsanity.com/paper/2401.07312/) (2024)
- [Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model](https://mlsanity.com/paper/2304.14630/) (2023)
- [From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems](https://mlsanity.com/paper/2408.03876/) (2024)
- [Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics](https://mlsanity.com/paper/2008.01177/) (2020)
- [Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay](https://mlsanity.com/paper/2308.04703/) (2023)
- [Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration](https://mlsanity.com/paper/2309.15723/) (2023)
- [InkSight: Leveraging Sketch Interaction for Documenting Chart Findings in Computational Notebooks](https://mlsanity.com/paper/2307.07922/) (2023)
- [Leveraging Foundation Models for Crafting Narrative Visualization: A Survey](https://mlsanity.com/paper/2401.14010/) (2024)
- [Narrative Player: Reviving Data Narratives with Visuals](https://mlsanity.com/paper/2410.03268/) (2024)
- [Reviving Static Charts into Live Charts](https://mlsanity.com/paper/2309.02967/) (2023)
- [Sportify: Question Answering with Embedded Visualizations and Personified Narratives for Sports Video](https://mlsanity.com/paper/2408.05123/) (2024)
- [The Stories We Tell About Data: Media Types for Data-Driven Storytelling](https://mlsanity.com/paper/2202.00047/) (2022)
- [How Does Automation Shape the Process of Narrative Visualization: A Survey of Tools](https://mlsanity.com/paper/2206.12118/) (2022)
- [Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks](https://mlsanity.com/paper/2303.04059/) (2023)
- [Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling](https://mlsanity.com/paper/2304.08366/) (2023)
- [WonderFlow: Narration-Centric Design of Animated Data Videos](https://mlsanity.com/paper/2308.04040/) (2023)
- [Data Analysis in the Era of Generative AI](https://mlsanity.com/paper/2409.18475/) (2024)
- [Data Playwright: Authoring Data Videos with Annotated Narration](https://mlsanity.com/paper/2410.03093/) (2024)
- [Reflecting on Design Paradigms of Animated Data Video Tools](https://mlsanity.com/paper/2502.04801/) (2025)
- [MetaGlyph: Automatic Generation of Metaphoric Glyph-based Visualization](https://mlsanity.com/paper/2209.05739/) (2022)
- [Beyond Numbers: Creating Analogies to Enhance Data Comprehension and Communication with Generative AI](https://mlsanity.com/paper/2401.17856/) (2024)
- [A Deixis-Centered Approach for Documenting Remote Synchronous Communication around Data Visualizations](https://mlsanity.com/paper/2408.04041/) (2024)
- [Augmented Chironomia for Presenting Data to Remote Audiences](https://mlsanity.com/paper/2208.04451/) (2022)

## Built on by (most cited first, 1 of 1)

- [EvidenceLens: A Claim-Evidence Matrix for Auditing Financial Question Answering](https://mlsanity.com/paper/2606.23724/) (2026)

## Abstract (arXiv)

Human-AI collaborative tools attract attentions from the data storytelling community to lower the expertise barrier and streamline the workflow. The recent advance in large-scale generative AI techniques, e.g., large language models (LLMs) and text-to-image models, has the potential to enhance data storytelling with their power in visual and narration generation. After two years since these techniques were publicly available, it is important to reflect our progress of applying them and have an outlook for future opportunities. To achieve the goal, we compare the collaboration patterns of the latest tools with those of earlier ones using a dedicated framework for understanding human-AI collaboration in data storytelling. Through comparison, we identify consistently widely studied patterns, e.g., human-creator + AI-assistant, and newly explored or emerging ones, e.g., AI-creator + human-reviewer. The benefits of these AI techniques and implications to human-AI collaboration are also revealed. We further propose future directions to hopefully ignite innovations.