One of the key components of evaluating sources for credibility is using critical reading skills. Whether you get your news from a traditional media source or social media, question everything you read while keeping an open mind to learn from trusted sources. Ask questions of the text as you are reading as though you are having a conversation with it. Embrace some skepticism without veering into cynicism.
For every source you find, evaluate and investigate the arguments, evidence given to support arguments, opinions, and biases to determine if this is a source you can reliably trust.
All of us have life experiences and beliefs which shape the way we see the world. As a result, every human has some degree of bias. The key is to be aware of your own bias and understand how it effects your interpretation of information.
Sources are prone to bias simply because they are written by humans. Systemic bias is baked into many of the digital platforms we use, which can devalue some points of view and cause harm to individuals.
Algorithms, which power search engines and social media, use data to make predictions about users. They take into account not only the search terms entered and the assumed relevance of sources related to those terms, but also things like your past searches, personal preferences, and location; what other people have searched for and clicked on; and in some cases if a company has paid for their results to show up sooner. Due to the way they were created, algorithms tend to perpetuate the biases of society at large, referred to as algorithmic bias.
Combined with critical reading skills, the SIFT Method is a process to help you think critically about sources you encounter, specifically those you find on the internet. Developed by Mike Caufield, the four moves of SIFT guide you to verify information from multiple, credible sources and trace original sources of evidence to determine if a source should be trusted, shared, or used.
90 South Henry Street | P 740-368-3271 |
Ohio Wesleyan University | E libraries@owu.edu |
Delaware, OH 43015 |
Chat requires JavaScript
|