2023/05/17 by Ana Aleksandric, Henry Isaac Anderson, Aleksandric, Ana +7 · 1 citation
Medicine · Social Sciences · #Computational and Text Analysis Methods #FOS: Computer and information sciences #Reproductive Health and Contraception #Social and Information Networks (cs.SI)
paper · pdf · doi:10.48550/arxiv.2305.09889
openalex publication_date 2023/05/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Abortion remains one of the most controversial topics, especially after overturning Roe v. Wade ruling in the United States. Previous literature showed that the illegality of abortion could have serious consequences, as women might seek unsafe pregnancy terminations leading to increased maternal mortality rates and negative effects on their reproductive health. Therefore, the stances of the abortion-related Facebook posts were analyzed at the state level in the United States from May 4 until June 30, 2022, right after the Supreme Court's decision was disclosed. In more detail, the pre-trained Transformer architecture-based model was fine-tuned on a manually labeled training set to obtain a stance detection model suitable for the collected dataset. Afterward, we employed appropriate statistical tests to examine the relationships between public opinion regarding abortion, abortion legality, political leaning, and factors measuring the overall population's health, health knowledge, and vulnerability per state. We found that states with a higher number of views against abortion also have higher infant and maternal mortality rates. Furthermore, the stance of social media posts per state is mostly matching with the current abortion laws in these states. While aligned with existing literature, these findings indicate how public opinion, laws, and women's and infants' health are related, and interventions are required to educate and protect women, especially in vulnerable populations.