Validating internet information
Millions of people contribute to information on the Internet, which is constantly changing, added to and deleted.Use the credibility, accuracy, reasonableness and support (CARS) method of verification when relying on information found on the Internet.
Follow the links provided to verify that the citations in fact support the writer's claims.To submit your questions or ideas, or to simply learn more about It Still Works, contact us.Unlike similar information found in newspapers or television broadcasts, information available on the Internet is not regulated for quality or accuracy; therefore, it is particularly important for the individual Internet user to evaluate the resource or information.Look for at least two other credible citations to support the information.This article was written by the It Still Works team, copy edited and fact checked through a multi-point auditing system, in efforts to ensure our readers only receive the best information.Once you've found some interesting sources to use in your research, it's important that you evaluate each of them. If it’s a piece of research, how did they conduct it? What constitute scholarly sources of information, and how do we choose between them?
This means deciding whether they're trustworthy, reliable and of good enough quality for an academic assignment. Were the method and sample size appropriate and representative? In this, the first of our "Let's get critical" critical reading theme, we get to grips with the principles of evaluating information and work out how to determine their suitability. There's a lot of rubbish published more generally, for that matter.
In what is still a relatively new medium, the codes and signifiers of what constitutes a reputable source are still somewhat muddy, which is in part why fake news stories have been able to outperform mainstream media in terms of Facebook shares.
Medical information and healthcare advice abound on the internet, both genuine, science-based information as well as spurious and fake.
It might even be possible for the algorithms employed to differentiate between valid statements and ironic ones that might, with earlier approaches, be confused. DOI: 10.1504/IJWET.2019.100344 This document is subject to copyright.
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Look for possible bias in the information presented and claims or assertions that seem unreasonable.