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Evaluating Information Online

EValuating Information

SIFT is an acronym.

It stands for:

  • Stop
  • Investigate the source
  • Find a better source
  • Trace claim to the original context

Stop

  • Check in with your emotions. The story or headline may be trying to anger or excite you to get you to click on its links and view its ads.
  • Before you read, share, or use the information, first investigate the source’s credibility and objectivity. Make sure that you can trust the author, publisher, publication, or website.
  • If you are unfamiliar with the person or organization providing the information, then go to the next step.

Investigate the source

Navigate away from your information source in order to see what other sources say about the person or organization who is responsible for the information you are evaluating. Here’s how:

  • Look up the author, publisher, publication, or website using a search engine or Wikipedia to find out about them from other sources.
  • Determine the expertise and agenda of the person or organization providing the information.
Search tip

Using a search engine, type wikipedia after the domain name of a site, or after a person’s name, to show the wikipedia article at the top of your search results.

  • Example: https://www.mayoclinic.org wikipedia
  • Example: carla hayden wikipedia

Find a better source

If you have doubts about the quality of claims on the webpage you are viewing, or want to find out whether a certain claim is true or false, use other news sources and fact-checking sites to verify information about the claim.

Use reliable fact-checking sites to verify claims:

Search tip:

Enter the claim you are trying to verify followed by the name of a fact-checking site to see any articles about the claim on the site at the top of your search results.

  • Example: ivermectin sterility in men site:snopes.com
Search tip:

Enter the claim you are trying to verify in the Google search bar and click the News tab of your search results in order to confirm that other news sites are reporting the same story.

  • Example: pesticides harmful to bees
Search tip:

Confirm claims by searching them in large, nationally-known news sources. Free, full-text access to major daily newspapers is available to CCSF students, staff, and faculty through the U.S. Major Dailies database (use your RAM ID), such as:

  • The New York Times
  • Washington Post
  • Los Angeles Times

Trace claims to their original context

  • When verifying a claim or news item, locate the original reporting source for the claim or news. 
  • Phrases such as “According to…” are clues to the original source of information for a story. 
  • Look for quotations from experts and do a web search for their name or for the organization they represent to seek the original source of the claim.

 

Credits: Text adapted from The SIFT Method, Introduction to College Research, by Walter D. Butler, Aloha Sargent, and Kelsey Smith, under a Creative Commons Attribution 4.0 International License. The SIFT Method, or The Four Moves,  is the creation of Mike Caulfield, Director of Blended and Neworked Learning at Washington State University of Vancouver and author of Web Literacy for Student Fact-Checkers, a free online book about evaluating information online.

Often finding information is less of a problem than figuring out whether that information will be appropriate for your project. One way to decide whether a source is “good” for your project or not, is to begin by asking some questions about the source. Remember! Evaluation is a holistic process. One of these questions isn’t enough to determine a source’s usefulness. You need to take them all into consideration.

WHO created the source?

  • What authority does the author/organization have to present on this topic?
  • What are their credentials? Are they connected to the field they are writing about?
  • Are they affiliated with any specific organizations? Could this impact their reliability?
  • Is there contact information for the author or publisher?

WHAT is the purpose of the source?

  • Is it informing? Selling? Entertaining? Persuading?
  • Does the point of view appear to be objective or does it appear to be strongly biased?
  • Is the language emotional pointing to a personal connection to the topic?
  • Are any included images appropriate to the topic and clearly labeled or cited?
  • If on a website: What URL does the site use and what does this suggest about the source?
  • If on a website: Are the ads clearly separated from the information?

WHERE does the information come from?

  • Does the source use evidence to support its claims?
  • Are there any references? If so, are they appropriate to the topic and source?
  • Are there references or works cited lists? If so, what kinds of sources are being cited?
  • Can the information be verified with another source?
  • Is the source presenting fact or opinion?
  • Does the source contain spelling, grammar, or typographical errors?

WHEN was the source published?

  • Has the information been updated or revised if necessary?
  • Does your topic require very recent information, or will older sources be acceptable or even preferred?
  • If on a website: Is a date given for when the information was posted?
  • If on a website: Are there important links that are now dead or overall are they kept up to date?

WHY is this source useful to you?

  • Who is the intended audience?
  • Is the information at an appropriate level for your needs (i.e. not too simplistic/not too advanced)?
  • Does the information help to answer your research question or develop your argument?
  • Does the source add new information or simply repeat or summarize other perspectives?

With the proliferation of AI-generated content, it is crucial that users evaluate every piece of information thoroughly to determine its reliability, trustworthiness, and authority. While there are benefits of using Generative AI, it has several potential issues that users need to keep in mind. Some of the issues include: 

  • Reliability:  Natural language processing tools, language models, or chatbots, are trained on a collection of writing to generate human-like text in response to a prompt, not necessarily to generate truthful or reliable answers.  
  • Transparency:  In the same way that natural language processing tools, language models, or chatbots, are not necessarily generating truthful or reliable answers, they are not specifically created to locate and credit the sources for the responses they generate.
  • Bias:  Since natural language processing tools, language models, or chatbots, are trained on a large body of writing created by humans with human biases the responses generated could reflect and further enforce those same biases.
  • Privacy:  Like any online platform, AI tools accept the input of private information from users who may not be aware of how the platform intends to use that information.
  • Equity:  Many generative AI tools, both text and image-based, were trained on large collections of material taken from the internet without prior approval or involvement from the human authors who created the content.  These same human authors will be forced to compete for their livelihood with an automated system that can work faster.
    • Many AI tools also perpetuate the dominance of English in online spaces, threatening Indigenous languages.
    • Access to powerful, quality, AI tools may require payment and thus divide those who cannot afford to pay for the tools from the advantages enjoyed by those who can pay.

 

Who is the author? Could their view be biased in any way?

Text or images generated by AI tools have no human author, but they are trained on materials created by humans with human biases.  Unlike humans, AI tools cannot reliably distinguish between biased material and unbiased material when using information to construct their responses.

What was the intended audience?

Generative AI tools can be used to generate content for any audience based on the user’s prompt.

What is the intended purpose of the content?  Was it created to inform, to make money, to entertain?   

Generative AI tools can create convincing text and images that can be used to propagate many different ideas without being clear that the information or images could be false.

Where was it published?  Was it in a scholarly publication, a website, or an organization page?

Generative AI has already been used to create content for websites and news outlets. Considering whether the source is scholarly, has a good reputation and has a clear history of providing reliable information is useful for figuring out whether the information you find is useful or misleading.

Does it provide sources for the information?

Articles, news outlets, and websites that provide sources could be an indicator of reliability.  Further assessing the sources by following the links and citations to verify the information will help confirm that the information you find is reliable.

 

Credit: AI Tools and Resources, University of South Florida Libraries