The agent links generated claims directly to the source data.
can AI write engaging news that people can trust?
introducing ✨Data2Story: a data journalist agent. give it raw data, it generate a verifiable, multimodal article.
🔍verifiable: every claim is evidence-grounded, traces back to data, code, or a cited source. 🔮multimodal: the article is a generative UI — images, videos, audio, interactive charts.
not just readable, but trustworthy and playable. 🧵1/N
Many users praised the Data2Story AI Agent for converting raw data into verifiable multimodal stories, thanking the team and calling the work great.
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Data Journalist Agent
Transforming Data into Verifiable Multimodal Stories
can AI write engaging news that people can trust?
introducing ✨Data2Story: a data journalist agent. give it raw data, it generate a verifiable, multimodal article.
🔍verifiable: every claim is evidence-grounded, traces back to data, code, or a cited source. 🔮multimodal: the article is a generative UI — images, videos, audio, interactive charts.
not just readable, but trustworthy and playable. 🧵1/N
paper: https://huggingface.co/papers/2606.11176
Data Journalist Agent
Transforming Data into Verifiable Multimodal Stories
Data doesn't tell stories by itself.
Meet the Virtual Newsroom: AI agents that turn data into compelling visual stories, w/ every claim verifiable.
Example: This World Cup stretches from Vancouver to Houston. How much could climate affect performance?https://data2story.github.io/new/fifa26_schedule/blog_opus47_0525_1345/viewer.html
Great job @KevinQHLin leading this project!
can AI write engaging news that people can trust?
introducing ✨Data2Story: a data journalist agent. give it raw data, it generate a verifiable, multimodal article.
🔍verifiable: every claim is evidence-grounded, traces back to data, code, or a cited source. 🔮multimodal: the article is a generative UI — images, videos, audio, interactive charts.
not just readable, but trustworthy and playable. 🧵1/N
@KevinQHLin Yes it can: https://alignednews.com/ai
Mine reads 30,000 posts a day here on X to write the essay it writes.
Will try Data2Story.
explore our story here👇 🌐 Website: http://data2story.github.io 💻 Code: http://github.com/QinghongLin/data2story-skill 🤗 Huggingface: https://huggingface.co/papers/2606.11176 📄 Paper: http://arxiv.org/abs/2606.11176
collaborate w/ @elb4tu @SilasYHShi @lupantech advised by @philiptorr @james_y_zou
How it works👇
🧵3/N why is this hard?
data doesn’t speak for itself. this CSV just records 1,354 people naming a playing card.
but why did half pick the same few cards? The answer involves royal tax stamps, a hanged counterfeiter, and Vietnam War psy-ops.
Context, stats, angle, design: a newsroom spends weeks per piece.
🧵7/N 👨💻reader as judge: 53 human studies assessed 18 paired articles (across Economist, Pudding, TidyTuesday)
Data2Story scores higher on all 5 dimensions, notably transparency +1.49 (the Inspector at work).
analytical pieces (Economist, TidyTuesday) strongly favour the agent. Pudding's long-form scrollytelling is a statistical tie - weeks of human design is valuable.
overall comparison: 43% prefer agents, 19% prefer human, 2% equivalent.
@KevinQHLin Great work Kevin!!!!
@KevinQHLin Nice work @KevinQHLin !!
🧵4/N Data2Story is a virtual newsroom of 7 specialised agents:
🕵️ detective gathers context 📊 analyst runs the stats (in code) ✍️ editor frames the angle 🎨 designer builds the visuals 💻 programmer ships the article (generative UI) 🔧 auditor reviews & debug it
each role hands off to the next, like a real newsroom.
notably, we introduce 🔍inspector
it links every claim in the final article back to its origin: the raw data, the exact lines of code that computed it, or a cited source.
🧵5/N can Data2Story discover findings on underexplored data?
we ran it on fresh 2026 datasets, covering sport, science, and society.
(a) FIFA 2026 schedule. https://data2story.github.io/new/fifa26_schedule/blog_opus47_0525_1345/viewer.html Data2Story reads it as a climate document, not a simple sports calendar: extreme weather, not air temperature, drives the worst penalties.
(b) arXiv submissions through June 2026. https://data2story.github.io/new/arxiv/blog_opus47_0525_1802/viewer.html Data2Story finds a tipping point: computer science crossed 50% of all posts in May 2025, then LLM “slop” forced new rejection protocols.
(c) Time-use diaries across six decades. https://data2story.github.io/new/mtus/blog_opus47_0525_1248/viewer.html Data2Story frames the day as a fairness ledger: women do more unpaid work, and the gap barely moves — only its composition shifts.
these angles exist in the data. Data2Story serves as an alternative way for newsrooms to surface them.
🧵6/N research question: how to evaluate agent and human article?
we assess along 4 axes: 💭 angle coverage: humans and agents, whose angles cover whose?
👥 reader as judge: human studies with 5-dimension rubric across {visual design, narrative pacing, data transparency, claim-data alignment, insight value}.
🖱️ computer-use agent: a cost-saving proxy that reads the page like a user (clicking, scrolling)
✅ verifiability: use another cross-family agent re-execute every claim against the data
@Scobleizer Hi Robert thanks for sharing this! alignednews looks quite good,
we believe data2story will offer a different new experience(verifiable+multimodal)!
🧵8/N ✅the key verifiability test: a cross-family verifier (OpenAI Codex) re-executes every claim against the raw data or re-fetches the cited source.
data2Story articles: 93% of claims carry machine-checkable provenance. this is enabled by the Inspector 🔍 which traces every output back to its source. verifiability by construction, not by randomness.
thanks @_akhaliq for sharing our Data2Story!
🔮Turn the ‘Humanity's Last Exam’ dataset into a generative blog.
Explore more agent-generated stories here https://data2story.github.io
Data Journalist Agent
Transforming Data into Verifiable Multimodal Stories
@sean_n_wu Thank you very much Sean!! 🙏
@ZacharyShinnick Thank you Zach! 🥳
@KevinQHLin Hey are you interested in crowdsourcing for your project? We noticed @DonJohnsonSays gave you a follow -- assuming you two have been in touch
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