Iffy Quotient

Iffy Quotient

Iffy Quotient

Founded in 2016

The Iffy Quotient is a web-based tool that uses NewsWhip to query Facebook and Twitter and identify URLs that are known to be biased or to be frequent reporters of false information. The tool then calculates the percentage of URLs on each site that are "iffy," or known for reporting false or misleading information.

Iffy Quotient is not affiliated with RAND. It was selected for this database because it fits our researchers' inclusion criteria.

Tool type
Disinformation tracking
Fully operational
Intended users
General public, Researchers
Tool focus
This tool is content-focused. It directly evaluates information, such as the authenticity of a photo.
Method or technology
Machine learning and AI
Is the tool automated?
Founding organization
University of Michigan
Founder/primary contact
Paul Resnick

How is this tool working to address disinformation?

The tool aims to fight disinformation by alerting users and social media platforms to the prevalence of false or misleading information on these channels. By making this public, developers of the tool hope that it will both make users more savvy and hold social media executives accountable.

Is there a connection with tech platforms?

None found

Who is funding the tool?

University of Michigan's Center of Social Responsibility

Are there external evaluations?

None found

Search for tools that fight disinformation by name, type, or keyword:

examples: Hamilton 2.0, bot detection, fact-checking