AI Source Evaluator for Students
Leila is a 9th-grader writing a paper on social media regulation. She found a statistics-heavy article that supports her argument perfectly. Her teacher tells her the source is not credible, but Leila does not know how to tell the difference between a credible source and a convincing-looking one. Her teacher enters the article in the AI Source Evaluator, and the AI goes through the SIFT method, gives notes on authority, accuracy, currency and bias, says what Leila must look up and check herself, and suggests kinds of sources that could confirm the claims.
The AI Source Evaluator is one of the AI generators of OpenEduCat Tools. It teaches lateral reading, the skill professional fact-checkers use, as a habit, not just a one-off check.
This page fills in a draft from a template. Copy prompt gives you the prompt for any AI chat.
- A judgement with reasons
- 1-10
How it works
From a source to credibility assessment in four steps.
Enter a URL or source description
The teacher enters the title of the source, an optional web link or DOI, and what the source says. The AI uses the source information to begin the SIFT evaluation: Stop (pause before accepting the claim), Investigate the source (who is behind this?), Find better coverage (what do other sources say about this claim?), and Trace claims (where did this claim originally come from?).
AI evaluates authority, accuracy, currency, and bias
The AI evaluates these dimensions of source credibility. Authority: is the author or organization a recognized expert in this field? Accuracy: are the claims supported by evidence, and are sources cited? Currency: is the information recent enough to be relevant? Purpose: is this trying to inform, persuade, sell, or entertain? Bias: what perspective does the author or publication have, and how does it shape the content?
Record your judgement and reasons
The worksheet ends with a judgement: use it, use it with care, or do not use it, and why. Red flags to look for can include "No author named," "Publication has a documented ideological agenda," "Statistic cited with no original study linked," "Domain designed to mimic a credible source."
Look for corroborating sources
For any claim a student wants to use in their research, the worksheet asks which other trusted sources say the same. A student relying on a think tank report might look for the peer-reviewed studies the report summarizes. A student using a news article might look for the government data set the journalist cited. Corroboration is the key skill that separates reliable research from Wikipedia-level citation chains.
The source credibility problem
Stanford researchers studying source evaluation found that even professors and PhD students were significantly outperformed by professional fact-checkers at identifying credible sources, not because of intelligence, but because fact-checkers use lateral reading (checking what others say about a source) while academics tend to read sources carefully and try to evaluate them from the inside. Students who learn lateral reading skills can evaluate sources more accurately and more quickly than those who rely on reading-based judgment alone.
The AI Source Evaluator teaches lateral reading as the primary strategy, not as a supplementary check.
What the source evaluator includes
Every evaluation teaches the student how to make the same judgment independently next time.
SIFT method framework
SIFT (Stop, Investigate the source, Find better coverage, Trace claims) is a lateral reading framework developed by Mike Caulfield. The AI evaluates every source through all four steps and says what the student must look up and check. Students who learn SIFT develop a transferable habit of pausing before accepting claims, which is one of the most important information literacy skills in a high-misinformation environment.
A judgement with reasons
There is no score: the worksheet ends with the student's own judgement and reason. The explanation teaches the student to make the same judgment independently next time.
Red flag identification
Students look for red flags in the source: unnamed authors, sensationalist headline language, missing citations for specific statistics, domain names designed to look credible, publication dates that predate evidence they claim to report, and claims that cannot be traced to an original study. Red flag identification is more useful than a vague "use caution" warning.
Lateral reading guidance
Lateral reading means leaving a source immediately to look at what other sources say about it, rather than reading the source itself more carefully. Professional fact-checkers use lateral reading because it is faster and more reliable than trying to evaluate a source from the inside. The AI teaches this skill by explicitly directing the student to check the source's reputation on independent platforms.
Finding corroborating sources
After checking a source, the worksheet asks which other trusted sources say the same; students decide which databases to search, what search terms to use, and what type of source (peer-reviewed study, government data, independent investigation) would provide the strongest corroboration. Corroboration is not just about finding agreement: students ask whether multiple sources agree because they all reference the same original study or because independent evidence supports the claim.
Bias and purpose analysis
Every source has a purpose and a perspective. A pharmaceutical company's press release about a drug study is not the same as an independent clinical trial. A think tank's policy report reflects its funders' priorities. The worksheet asks who made it, what they gain, and what is left out, so the student knows how to read the source critically.
Who uses the source evaluator
High school teachers use the worksheet with students writing research papers, before they cite any source they found through a general web search. The worksheet is useful for exactly the situation where students are most likely to make a credibility mistake, when they have found a source that confirms their argument and want to use it without checking further.
Social studies and current events teachers use the tool as a classroom media literacy exercise. Students evaluate the same set of sources on printed worksheets and compare their judgements and reasoning. The discussion about why two students rated the same source differently often produces the deepest media literacy learning.
Journalism and communications teachers use the tool as part of teaching reporting workflows. Before citing a statistic or source in a piece, the student works through the worksheet to trace the claim back to the original study or data set.
Librarians and information literacy instructors use the tool as a demonstration platform when teaching database research and source evaluation units. The explainability of the SIFT evaluation makes it suitable for classroom instruction, not just individual use.
- No student accounts.
- No ads.
- Data-processing agreement on request.
What this page does here
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Questions teachers ask
What is the SIFT method and why is it used for source evaluation?
SIFT stands for Stop, Investigate the source, Find better coverage, and Trace claims. It was developed by Mike Caulfield. Research comparing evaluation strategies found that professional fact-checkers use lateral reading (the core skill in SIFT) and evaluate sources far more accurately than historians and scientists who try to evaluate sources by reading them carefully. SIFT is now widely taught in media literacy education.
Does the tool work for non-English sources?
The worksheet can be used for sources in any language, but nothing reads the source or holds data on publisher reputation or bias. For non-English sources, the evaluation focuses on author credentials, publication transparency, citation practices, and the rhetorical structure of the content. Students can look for other trusted sources in the target language where possible.
Can the tool detect AI-generated content?
The tool does not detect AI-generated content, but students can look for signals: unusual fluency without specific evidence, generic claim patterns, no traceable original research, and publication dates from sites with no editorial history. AI content detection is not perfectly reliable, so treat these as signals to investigate rather than definitive conclusions. The SIFT framework is the primary evaluation strategy regardless of whether content is human- or AI-generated.
How is this different from a general Google fact-check?
A general Google search might surface fact-checks for specific viral claims, but it does not evaluate the credibility of the source making the claim. The AI Source Evaluator evaluates the source itself (the publisher, author, publication history, known biases, and citation practices) from what you enter, says what must be looked up, and teaches the student to apply lateral reading, which is the same technique professional fact-checkers use. The tool builds a transferable skill, not just a one-off fact-check.
Can teachers use this tool to teach media literacy as a unit?
Yes. The tool is designed to work as both a research utility and a teaching tool. Teachers can provide students with a set of sources (some credible, some not) and ask students to evaluate them and compare results. Students write their own reasons, so they can discuss why they rated a source the way they did. This makes it suitable for a media literacy unit where the goal is to build the skill of evaluation, not just to identify bad sources.
Related tools
AI with your school's own student and course data is part of OpenEduCat.
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