A New SPIN on Misinformation

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May 23, 2024

We all stretch the truth from time to time.1 The real problem is when our lies spread to thousands of people, assisted by recent technological advancements such as social media or artificial intelligence.2, 3 This has a real impact on the decisions people make—such as who to vote for or whether to get vaccinated.

You’re probably already familiar with this phenomenon—it’s called misinformation: the dissemination of false or misleading information.4, 5, 6

Our latest research at The Decision Lab identified and organized the different types of misinformation into a taxonomy called Sorting Potentially Inaccurate Narratives (SPIN). We hope this tool can help both individuals and organizations combat misinformation to make the best decisions possible. 

What is a Misinformation Taxonomy?

A taxonomy is a system of classification based on specific guidelines. In particular, misinformation taxonomies attempt to achieve two things:

  1. List all the relevant types of misinformation
  2. Organize misinformation based on criteria

The ultimate goal behind these taxonomies is to guide future interventions to teach participants how to identify and, in turn, combat misinformation.
Most misinformation taxonomies in the past have been tailored to specific fields—such as education or politics—to create solutions that directly address problems within that context.7, 8, 9, 10, 11 In contrast, our goal was for our taxonomy to include as many different types of misinformation out there as possible. This way, we could determine which interventions work in some situations but not others.

References

  1. Sai, L., Shang, S., Tay, C., Liu, X., Sheng, T., Fu, G., ... & Lee, K. (2021). Theory of mind, executive function, and lying in children: a meta‐analysis. Developmental Science, 24(5), e13096.
  2. Kaiser, J., & Rauchfleisch, A. (2018). Unite the right? How YouTube’s recommendation algorithm connects the US far-right. D&S Media Manipulation.
  3. Tufekci, Z. (2018). YouTube, the great radicalizer. The New York Times, 10(3), 2018.Van der Linden, S., Leiserowitz, A., Rosenthal, S., & Maibach, E. (2017). Inoculating the public against misinformation about climate change. Global challenges, 1(2), 1600008.
  4. Lewandowsky, S., Ecker, U. K., Seifert, C. M., Schwarz, N., & Cook, J. (2012). Misinformation and its correction: Continued influence and successful debiasing. Psychological science in the public interest, 13(3), 106-131.
  5. Shao, C., Ciampaglia, G. L., Varol, O., Yang, K. C., Flammini, A., & Menczer, F. (2018). The spread of low-credibility content by social bots. Nature communications, 9(1), 1-9.
  6. Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. science, 359(6380), 1146-1151.
  7. Kapantai, E., Christopoulou, A., Berberidis, C., & Peristeras, V. (2021). A systematic literature review on disinformation: Toward a unified taxonomical framework. New media & society, 23(5), 1301-1326.
  8. Kozyreva, A., Lewandowsky, S., & Hertwig, R. (2020). Citizens versus the internet: Confronting digital challenges with cognitive tools. Psychological Science in the Public Interest, 21(3), 103-156.
  9. Molina M, Sundar S, Le T, et al. (2019) “Fake news” is not simply false information: a concept explication and taxonomy of online content. American Behavioral Scientist. Epub ahead of print 14 October. DOI: 10.1177/0002764219878224.
  10. Rojecki, A., & Meraz, S. (2016). Rumors and factitious informational blends: The role of the web in speculative politics. New Media & Society, 18(1), 25-43.
  11. Wardle, C., & Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policymaking (Vol. 27, pp. 1-107). Strasbourg: Council of Europe.
  12. Roozenbeek, J. (2019). Fake news game confers psychological resistance against online misinformation. Palgrave Communications, 5(1), 1-10. https://doi.org/10.1057/s41599-019-0279-9

About the Authors

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The Decision Lab

The Decision Lab is a Canadian think-tank dedicated to democratizing behavioral science through research and analysis. We apply behavioral science to create social good in the public and private sectors.

About us

We are the leading applied research & innovation consultancy

Our insights are leveraged by the most ambitious organizations

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I was blown away with their application and translation of behavioral science into practice. They took a very complex ecosystem and created a series of interventions using an innovative mix of the latest research and creative client co-creation. I was so impressed at the final product they created, which was hugely comprehensive despite the large scope of the client being of the world's most far-reaching and best known consumer brands. I'm excited to see what we can create together in the future.

Heather McKee

BEHAVIORAL SCIENTIST

GLOBAL COFFEEHOUSE CHAIN PROJECT

OUR CLIENT SUCCESS

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Annual Revenue Increase

By launching a behavioral science practice at the core of the organization, we helped one of the largest insurers in North America realize $30M increase in annual revenue.

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Increase in Monthly Users

By redesigning North America's first national digital platform for mental health, we achieved a 52% lift in monthly users and an 83% improvement on clinical assessment.

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Reduction In Design Time

By designing a new process and getting buy-in from the C-Suite team, we helped one of the largest smartphone manufacturers in the world reduce software design time by 75%.

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By implementing targeted nudges based on proactive interventions, we reduced drop-off rates for 450,000 clients belonging to USA's oldest debt consolidation organizations by 46%

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