The role of mis/disinformation in shaping contraceptive health outcomes for gender diverse young people across the US: A national mixed-methods analysis
Contraception
Awarded 2025
Contraceptive misinformation and disinformation
Laura Lindberg, PhD
Rutgers University
$148,991

Reproductive autonomy for adolescents and young adults (AYA, ages 15–29) critically depends on access to accurate, timely contraceptive information. Access to traditional contraceptive information sources has diminished substantially in recent decades, disproportionately impacting marginalized AYA. With gaps in contraceptive information, many AYA increasingly turn to digital spaces like social media and online communities. Young people are especially vulnerable to misinformation and disinformation (MDI), which can influence contraceptive knowledge, attitudes, and behaviors. Increased reliance on digital contraceptive information, which often contains MDI, poses unique challenges for AYA accessing accurate contraceptive information. Additionally, existing contraceptive research has predominantly focused on individuals assigned female at birth, neglecting the role and experiences of those assigned male at birth (AMAB), who influence contraceptive decisions for themselves and their partners. Moreover, the digital “manosphere” has emerged as a significant vector for anti-feminist and misinformation narratives affecting young men’s reproductive health perspectives. However, research systematically documenting endorsement and impacts of contraceptive MDI among gender-diverse AYA is limited, hampered by the lack of effective measurement approaches. This project aims to fill critical gaps by developing novel measures of contraceptive MDI endorsement and assessing its prevalence and impact among gender-diverse AYA through Power to Decide’s nationally representative 2026 YouR HeAlth Survey. We will expand the sample to include AMAB AYA and conduct qualitative interviews with gender-diverse young people to explore how MDI shapes their contraceptive decision-making. This explanatory sequential mixed-methods study will generate nationally generalizable data, illuminate gender differences in MDI susceptibility, and inform interventions to combat contraceptive MDI.