In progress! More coming soon!
Bridging Language Gaps in Digital Health Access
Clin Lai, Romi Román, Sarah Tran
This project investigates how digital technologies influence access to credible health information among multilingual, non-native English speakers—specifically Spanish and Mandarin-speaking communities in the Northeast U.S. Prior research shows these groups are more vulnerable to health misinformation (Anaya et al., 2021; Jin et al., 2024; Shin et al., 2023), in part due to language and literacy barriers in systems designed primarily for native English speakers. Combining methods from sociolinguistics, media studies, and human-computer interaction, we aim to identify actionable strategies to reduce inequities in digital information access. We use the MAIN Model (Sundar, 2008) and the Internet Skills framework (van Dijk & van Deursen, 2014), to examine how social, linguistic and comprehension barriers intersect with digital skills, shaping users’ ability to find and assess quality information.
Transdisciplinary problems require transdisciplinary approaches and research teams!
Transdisciplinary approach: integration of knowledge and methods from different disciplines, as well as engaging with stakeholders and incorporating societal perspectives. Researchers, experts from different fields, and non-academic participants (like community members, organizations, or policymakers) work together across traditional boundaries to solve complex real-world problems