Chrome fact checker workflow for misinformation researchers observing first-step evidence seeking.
Start with one ambiguous claim, post, article excerpt, AI-assisted citation, or source trail, then use FactSentinel in Chrome to observe whether the first evidence step points toward original sources, caveats, and manual follow-up.
Frame it as observation, not proof.
FactSentinel can help a researcher or analyst structure first-step evidence-seeking behavior around an ambiguous claim in the browser. The useful question is narrow: can the user move from a claim or generated source list toward original evidence, visible caveats, and a defensible next research action?
1. Preserve the stimulus
Keep the exact post, claim sentence, article excerpt, generated citation, prompt output, source list, and surrounding context.
2. Run FactSentinel
Review verdict, confidence, source links, caveats, reasoning, and model agreement while the participant or analyst remains in the browser context.
3. Observe the next step
Look for whether the evidence trail supports source-seeking behavior, flags uncertainty, or shows where manual research judgment is still required.
Research scenarios worth checking first.
The page is for first-step source-evaluation workflows, not for claiming that FactSentinel has validated an intervention or measured behavior change.
Ambiguous claims
- Posts or article excerpts where the source trail is unclear.
- Claims with statistics, quotes, official-sounding labels, or weak attribution.
- Stimuli where participants need to decide what evidence to open first.
Generated sources
- AI-assisted answers with citations that may be missing or mismatched.
- Reference lists where source existence and support both matter.
- Homework, newsroom, or policy examples used as source-evaluation tasks.
Analyst workflows
- Qualitative review of how evidence is surfaced around a claim.
- Manual coding notes about caveats, source type, and follow-up paths.
- Preliminary triage before deeper expert review or study design.
What the check should give a researcher.
A useful output makes uncertainty and evidence-seeking visible. It should not be treated as a validated behavioral intervention, academic endorsement, or substitute for IRB review, study design, coding protocols, or expert judgment.
Evidence trail
- Source links tied to the exact claim or citation.
- Caveats when source support is missing, weak, or mismatched.
- Reasoning that can be coded, challenged, or ignored by the researcher.
Behavioral observation
- What evidence appears first.
- Whether original sources are reachable.
- Where the participant or analyst still needs manual follow-up.
Guardrailed use
- No claim of research validation.
- No Oxford endorsement.
- No claim of intervention efficacy or user-growth proof.
Related source-aware workflows.
Use the classroom page for teaching workflows, the newsroom page for editorial checks, the source guide for citations, the hallucination guide for AI answers, the news guide for article claims, and the case study for a public fake-sources walkthrough.
Install, then observe one evidence-seeking step.
Open the download page, install the Chrome extension, and run a first-step check on one ambiguous claim, post, generated source, or article excerpt before deeper manual research review.