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College Research Skills: Detecting Bias

A guide with information on determining bias in resources.

Detecting Bias

 

bias, noun

prejudice in favor of or against one thing, person or group compared with another, usually in a way considered to be unfair


bias, verb

cause to feel or show inclination or prejudice for or against someone or something


Sources do not often state their own biases, which can make determining whether or not a source is biased more challenging. Any type of source can be biased, so every source should be evaluated for bias - from a social media post to a peer reviewed article.

Beliefs and values can influence bias - these are related to political ideology and agendas, worldviews, financial interests, and more. Bias may not intend to harm, but it can lead to the spread of misinformation, disinformation and fake news.

In Research
  • Conscious and Unconscious Researcher Bias
  • Confirmation Bias
  • Sampling or Selection Bias
  • Design Bias
  • Publication Bias
In Media
  • Gotcha Journalism
  • Clickbait Headlines
  • Ideological or Spin Biases
  • Negativity Bias
  • False Balance Bias
In Social Media
  • Sensationalism
  • Omission or Selection Bias
  • Recency Bias
  • Algorithmic Bias
  • Salience Bias
In Artificial Intelligence (A.I.)
  • Algorithmic Bias
  • Training Data Bias
  • Artificial Hallucinations

Below are some tools that may help guide you in identifying biases in different types of sources:

Allsides.com - Best for Published Media/News Sites
The AllSides Media Bias Ratings™ and AllSides Media Bias Chart™ help make news bias transparent, allowing you to identify different perspectives and political leanings so you can gain a better understanding of the perspectives that influence the journalism.

Rutger's Critical AI Literacies: A Guide for Students - Best for Evaluating AI Material
These guidelines were prepared by Critical AI @ Rutgers as part of DESIGN JUSTICE LABS, an NEH and Rutgers-sponsored initiative for sharing tools for teaching and researching critical AI literacies.

Clark College Libguide-Tools to Use 
A guide for web misinformation designed and created by Clark College Librarians with tools to evaluate news and journalism, political rumors, and urban legends.

Center for News Literacy Resources

Stony Brook University resource list for news consumers educators, including fact-checker websites, reverse image searches, identifying AI, and additional material.

 

Web Sources Featuring Exercises on Bias, Fake News, and Fact Checking:

 

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