Data · dataset · 2026
Predictive Research On Misinformation & Propagation Trajectories (PROMPT) Codebook
Listed in Riga Stradins University dataverse
The PROMPT Codebook is a comprehensive framework for the systematic analysis of disinformation narratives, techniques, and rhetorical strategies across digital media.
Description
Developed as part of the PROMPT – Predictive Research On Misinformation & Propagation Trajectories project, the codebook provides a detailed categorisation system encompassing 31 code groups and more than 240 specific codes. It integrates interdisciplinary insights from media and communication studies, linguistics, rhetoric, and semantics, enabling both human and AI-assisted detection of disinformation patterns.
The codebook includes categories for narratives, argumentation, verifiability, facticity, manipulation techniques, rhetorical figures, ideological orientation, and linguistic forms. Designed for application across multilingual and multimodal datasets, the PROMPT Codebook supports AI-driven analysis using Large Language Models (LLMs) to identify subtle linguistic and rhetorical markers of disinformation. It serves as a foundation for comparative studies across six European countries (Latvia, Lithuania, Estonia, Romania, Italy, and France) and is intended to enhance research, media literacy, and democratic resilience against information manipulation.
Read the rest (2 more)
The PROMPT Codebook (Short Version) provides a structured framework for analysing disinformation across digital media. It organises 16 main categories and 220 subcategories covering narratives, argumentation patterns, facticity, verifiability, manipulation techniques, rhetorical strategies, ideological cues, and linguistic forms. Developed within the PROMPT project, the codebook integrates insights from media studies, linguistics, and rhetoric to support both human and AI-driven identification of disinformation.
Designed for multilingual and multimodal data, it enables systematic detection of linguistic and rhetorical markers across diverse online environments and supports comparative analysis across multiple European contexts.
Links
Where it is published
- Dataverse dataset page dataverse.rsu.lv/dataset.xhtml?persistentId=doi%3A10.48510%2FFK2%2FHZSU5Z ↗
landing page · from dataverse rsu lv
- DOI doi.org/10.48510/fk2/hzsu5z ↗
DOI / persistent id · from dataverse rsu lv
Catalogue records · 1
- Dataverse API dataverse.rsu.lv/api/datasets/:persistentId/?persistentId=doi%3A10.48510%2FFK2%… ↗
metadata API · from dataverse rsu lv
Topics
- Stated by source
- Social Sciences
- From keywords
- Computer Science & AI · Social Science
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Riga Stradins University dataverse | doi:10.48510/FK2/HZSU5Z | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:social-sciences | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| created_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| description | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /description |
| publication_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| title | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /name |
| updated_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| version_label | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 |