Filipo Sharevski (DePaul University), Amy Devine (DePaul University), Emma Pieroni (DePaul University), Peter Jachim (DePaul University)

In this paper we investigate what textit{folk models of misinformation} exist on social media with a sample of 235 social media users. Work on social media misinformation does not investigate how ordinary users deal with it; rather, the focus is mostly on the anxiety, tensions, or divisions misinformation creates. Studying only the structural aspects also overlooks how misinformation is internalized by users on social media and thus is quick to prescribe "inoculation" strategies for the presumed lack of immunity to misinformation. How users grapple with social media content to develop "natural immunity" as a precursor to misinformation resilience, however, remains an open question. We have identified at least five textit{folk models} that conceptualize misinformation as either: textit{political (counter)argumentation}, textit{out-of-context narratives}, textit{inherently fallacious information}, textit{external propaganda}, or simply textit{entertainment}. We use the rich conceptualizations embodied in these folk models to uncover how social media users minimize adverse reactions to misinformation encounters in their everyday lives.

View More Papers

Kids, Cats, and Control: Designing Privacy and Security Dashboard...

Jacob Abbott (Indiana University), Jayati Dev (Indiana University), DongInn Kim (Indiana University), Shakthidhar Reddy Gopavaram (Indiana University), Meera Iyer (Indiana...

Read More

Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic...

Meisam Mohammady (Iowa State University), Reza Arablouei (Data61, CSIRO)

Read More

Reminding Drivers of the Stalking Vehicles on the Road

Wei Sun, Kannan Srinivsan (The Ohio State University)

Read More

Adventures in Wonderland: Automotive Cyber beyond the CAN Bus

Michael Westra (In-Vehicle Cyber Security Technical Manager, Ford)

Read More