Tech4Humanity AtlasGround ZeroCurrent ThemesFuture ResearchGalleryLive Q&ASearch
THE-03 · TOP-005

Information Quality

Misinformation Detection can materially affect autonomy, safety, public trust, market integrity, community cohesion and institutional decisions. Poorly designed interventions can suppress legitimate speech, entrench bias or create false confidence.

8 canonical Subtopics in this Topic.

Misinformation Detection

Misinformation Detection examines identifying false or materially misleading claims shared without confirmed coordinated intent within the broader domain of the accuracy, evidentia

Disinformation Detection

Disinformation Detection examines identifying intentionally deceptive information operations while separating intent from mere inaccuracy within the broader domain of the accuracy,

Fact Verification

Fact Verification examines testing factual claims against reliable and current evidence within the broader domain of the accuracy, evidential strength, traceability, confidence and

Source Quality Assessment

Source Quality Assessment examines assessing expertise, independence, transparency, track record and evidentiary practice of sources within the broader domain of the accuracy, evid

Knowledge Integrity

Knowledge Integrity examines maintaining consistency, traceability and correction across connected bodies of knowledge within the broader domain of the accuracy, evidential strengt

Evidence Traceability

Evidence Traceability examines linking claims to primary evidence, transformations, reviewers and decision use within the broader domain of the accuracy, evidential strength, trace

Claim Confidence Scoring

Claim Confidence Scoring examines calibrating confidence to evidence quality, uncertainty and disagreement within the broader domain of the accuracy, evidential strength, traceabil

Correction and Retraction Propagation

Correction and Retraction Propagation examines measuring whether corrections and retractions reach the audiences exposed to the original claim within the broader domain of the accu

Stories from Information Quality

Scenario narratives — not empirical findings.

Misinformation Detection

The ward was not short of data. It was short of quiet moments in which somebody could decide what the data meant. Current digital and institutional systems show a material need to address identifying false or materially

Read the full story →

Disinformation Detection

The first customer did not ask Lena for more features. They asked what would happen when the system was wrong. Current digital and institutional systems show a material need to address identifying intentionally deceptive

Read the full story →

Fact Verification

The lesson plan looked personalised on screen. In the classroom, Samira saw that personalisation and understanding were not the same thing. Current digital and institutional systems show a material need to address testin

Read the full story →

Source Quality Assessment

The first customer did not ask Anika for more features. They asked what would happen when the system was wrong. Current digital and institutional systems show a material need to address assessing expertise, independence,

Read the full story →

Knowledge Integrity

The lesson plan looked personalised on screen. In the classroom, Keiko saw that personalisation and understanding were not the same thing. Current digital and institutional systems show a material need to address maintai

Read the full story →

Evidence Traceability

At the remote site, a plausible alert could stop production, while a missed alert could put a life at risk. Current digital and institutional systems show a material need to address linking claims to primary evidence, tr

Read the full story →

Claim Confidence Scoring

The machine fault took eleven minutes to repair. Reconstructing why the system had recommended the wrong sequence took the rest of the shift. Current digital and institutional systems show a material need to address cali

Read the full story →

Correction and Retraction Propagation

The first customer did not ask Samira for more features. They asked what would happen when the system was wrong. Current digital and institutional systems show a material need to address measuring whether corrections and

Read the full story →