Perceptions of Health Misinformation on Social Media: U.S. Survey Data 2024

7,278 U.S. adults participated in the Health Information National Trends Survey 7 (HINTS 7) in 2024, with 4,741 complete responses analyzed. The dataset, authored by Navreet K. Singh, contains results from a secondary analysis identifying factors associated with perceived health misinformation on social media. It was last updated on May 15, 2026.

Use Cases

• Model predictors of perceived misinformation based on sociodemographic variables mentioned in the description
• Analyze the relationship between trust in the healthcare system and misinformation perception
• Study the effect of social network homogeneity on health misinformation exposure
• Conduct comparative analysis of misinformation perception across racial and ethnic groups
• Investigate the association between income, education levels, and perceived misinformation

Strengths

• Analysis is based on a large national survey of 7,278 U.S. adults
• Results are derived from 4,741 complete responses, providing a substantial sample for analysis
• The dataset includes results from both univariable and multivariable logistic regression models

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The 19.3 KB file size suggests the dataset is a summary document, not the raw survey data

Provenance

Source

Secondary analysis of the Health Information National Trends Survey 7 (HINTS 7).

Collection Method

Survey data collected from U.S. adults 18 years and older.

Time Range

2024

Freshness

Last updated 2026-05-15 04:26:24; freshness should be verified

Geography

United States