Fall Of The House Of Misinformation: Science At Work

On this week's episode of the pod, Jess is joined by Dr. Matthew Facciani, social scientist, to talk about media literacy, misinformation, and polarization. The two kick things off with a conversation about mis- and disinformation and why some people are more susceptible to it. They then shift gears slightly to chat about motivations behind the intentional spread of false information. Next, they share some media literacy tips and ways to spot red flags of misinformation. They bring tech into the conversation and discuss the role of AI in the future of debunking misinformation. We hope you'll walk away from this episode with some techniques to protect against bad information online!

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PLEASE NOTE: The discussion and information provided in this podcast are for general educational, scientific, and informational purposes only and are not intended as, and should not be treated as, medical or other professional advice for any particular individual or individuals. Every person and medical issue is different, and diagnosis and treatment requires consideration of specific facts often unique to the individual. As such, the information contained in this podcast should not be used as a substitute for consultation with and/or treatment by a doctor or other medical professional. If you are experiencing any medical issue or have any medical concern, you should consult with a doctor or other medical professional.

Further, due to the inherent limitations of a podcast such as this as well as ongoing scientific developments, we do not guarantee the completeness or accuracy of the information or analysis provided in this podcast, although, of course we always endeavor to provide comprehensive information and analysis. In no event may Unbiased Science or any of the participants in this podcast be held liable to the listener or anyone else for any decision allegedly made or action allegedly taken or not taken allegedly in reliance on the discussion or information in this podcast or for any damages allegedly resulting from such reliance. The information provided herein do not represent the views of our employers.

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Resources

• Dr. Matthew Facciani | Social Scientist - Website: www.matthewfacciani.com

• https://jimmy-narang.github.io/

• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771845/ 

• https://www.nature.com/articles/s41467-022-34769-6

• https://compass.onlinelibrary.wiley.com/doi/abs/10.1111/spc3.12501

• https://www.nejm.org/doi/full/10.1056/NEJMms2027985

• https://cordis.europa.eu/article/id/442436-building-public-trust-in-science-communication