mlsanityData to 7 Oct 2026

DataTales: Investigating the use of Large Language Models for Authoring Data-Driven Articles

arXiv 2308.04076 ↗First posted 8 Aug 2023cs.HC cs.CLcited by 24

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Abstract (arXiv)

Authoring data-driven articles is a complex process requiring authors to not only analyze data for insights but also craft a cohesive narrative that effectively communicates the insights. Text generation capabilities of contemporary large language models (LLMs) present an opportunity to assist the authoring of data-driven articles and expedite the writing process. In this work, we investigate the feasibility and perceived value of leveraging LLMs to support authors of data-driven articles. We designed a prototype system, DataTales, that leverages a LLM to generate textual narratives accompanying a given chart. Using DataTales as a design probe, we conducted a qualitative study with 11 professionals to evaluate the concept, from which we distilled affordances and opportunities to further integrate LLMs as valuable data-driven article authoring assistants.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Builds on 19 of its 42 references that are in the map. First posted on arXiv 8 Aug 2023.

Builds on

19 of 42 references.

References · 19

  1. 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 612
  2. 2022Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionalscited by 191
  3. 2023A Categorical Archive of ChatGPT Failurescited by 167
  4. 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulnesscited by 130
  5. 2021Sparks: Inspiration for Science Writing using Language Modelscited by 80
  6. 2020Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Modelcited by 77
  7. 2020NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queriescited by 73
  8. 2021Towards Natural Language Interfaces for Data Visualization: A Surveycited by 58
  9. 2022Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summariescited by 47
  10. 2023VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototypingcited by 46
  11. 2021Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Contentcited by 38
  12. 2023Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Promptingcited by 36
7 more
  1. 2020Calliope: Automatic Visual Data Story Generation from a Spreadsheetcited by 30
  2. 2023Interpretable Unified Language Checkingcited by 26
  3. 2022Towards Natural Language-Based Visualization Authoringcited by 22
  4. 2022Erato: Cooperative Data Story Editing via Fact Interpolationcited by 11
  5. 2021Kori: Interactive Synthesis of Text and Charts in Data Documentscited by 10
  6. 2023Notable: On-the-fly Assistant for Data Storytelling in Computational Notebookscited by 7
  7. 2023Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytellingcited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 7; 2025: 11; 2026: 4.

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  1. 2023Foundation Models Meet Visualizations: Challenges and Opportunitiescited by 31
  2. 2025A Survey of Data Agents: Emerging Paradigm or Overstated Hype?cited by 30
  3. 2024DataNarrative: Automated Data-Driven Storytelling with Visualizations and Textscited by 25
  4. 2025Benchmarking Visual Language Models on Standardized Visualization Literacy Testscited by 20
  5. 2023Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaborationcited by 13
  6. 2024Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinioncited by 13
  7. 2025InterChat: Enhancing Generative Visual Analytics using Multimodal Interactionscited by 13
  8. 2025ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Datasetcited by 9
  9. 2025Probing the Visualization Literacy of Vision Language Models: the Good, the Bad, and the Uglycited by 9
  10. 2024LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answeringcited by 6
  11. 2024Natural Language Generation for Visualizations: State of the Art, Challenges and Future Directionscited by 5
  12. 2025DATAWEAVER: Authoring Data-Driven Narratives through the Integrated Composition of Visualization and Textcited by 4
12 more
  1. 2024V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestionscited by 3
  2. 2025Attribution Gradients: Incrementally Unfolding Citations for Critical Examination of Attributed AI Answerscited by 3
  3. 2024LLM-Assisted Visual Analytics: Opportunities and Challengescited by 2
  4. 2025ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMscited by 2
  5. 2026ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Modelscited by 2
  6. 2025FactFlow: Automatic Fact Sheet Generation and Customization from Tabular Dataset via AI Chain Design & Implementationcited by 1
  7. 2025Reflection on Data Storytelling Tools in the Generative AI Era from the Human-AI Collaboration Perspectivecited by 1
  8. 2026Beyond Description: A Multimodal Agent Framework for Insightful Chart Summarizationcited by 1
  9. 2024"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysiscited by 0
  10. 2025The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflowscited by 0
  11. 2026Explorable Theorems: Making Written Theorems Explorable by Grounding Them in Formal Representationscited by 0
  12. 2026From Binary Groundedness to Support Relations: Towards a Reader-Centred Taxonomy for Comprehension of AI Outputcited by 0