Tool profile
Hoaxy
Claim and fact-check diffusion visualization for misinformation research
Claims and corrections are reviewed before public profile changes.
Official-page screenshot
Indiana University Observatory on Social Media
Claim and fact-check diffusion visualization for misinformation research
Best for: Visualizing how claims, rumors, and fact-checking content spread through public social-media signals.
Signal summary
Trust / disclosure
How to read this profile
Editorial line
Editorial judgment and commercial context are kept separate on OSINT4ALL.
Review status
This profile has an editorial review date. Source checking does not mean the tool was hands-on tested.
Claims / submissions
Corrections and claim requests are reviewed before any public change is made.
Commercial context
No commercial relationship is disclosed on this profile.
Editorial verdict
Use case and fit
This is editorial guidance, not vendor copy.
Visualizing how claims, rumors, and fact-checking content spread through public social-media signals.
Useful for journalists and researchers when graph output is described as diffusion context rather than truth scoring.
Best when misinformation researchers need to visualize how claims and fact-checks spread online.
Operational snapshot
Workflow, access, and coverage
Visualizing the timing and network spread of online information
Search Query, Social Post
Diffusion Network, Sharing Timeline
Information Spread Analysis
Official documentation describes Hoaxy2 and changed platform/API access; a working current public interface was not confirmed here. Coverage depends on available posts. Sharing patterns do not establish truth, intent, bot control or coordinated behavior.
Define the claim, run the query, save the time window and graph context, compare with fact-checking sources, then write only the supported diffusion finding.
English-first research interface; claim and platform content may be multilingual depending on coverage.
Limits
Strengths, caveats, and risk
Research-backed origin, clear visualization purpose, and direct fit for misinformation and fact-checking workflows.
Coverage, platform access, and current functionality may shift with social-network data access limits.
Does not decide truth, intent, coordination, or impact by itself; it visualizes spread patterns that still need interpretation.
Misinformation visualizations can be misread as truth labels or influence proof. Avoid overclaiming what a graph demonstrates.
Use public social-media context carefully and avoid identifying private individuals unless publication is necessary and corroborated.
State the query and coverage limits whenever using Hoaxy output in a report.
Maintenance
Source status & suggest an update
Help keep this profile accurate. Update requests are reviewed and logged before publication.
Source checked: 2026-05-07
If something is outdated, please submit a correction or ownership update request. Claim requests are reviewed and do not grant editorial control.
Commercial or sponsorship requests use the separate partner workflow.