Knowledge of and Attitudes Toward <i>Roe v. Wade</i> Among US Latinx Adults

Solon, Megan; Kaplan, Alejandra M.; Crawford, Brandon L.; Turner, Ronna C.; Lo, Wen‐Juo

doi:10.1177/07399863221116849

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…Dobbs v. Jackson and subsequent state-level abortion bans have evoked strong reactions from “pro-life” and “pro-choice” groups [ 4 ]. Many studies on attitudes towards Roe v Wade have used surveys [ 10 , 11 ]. However, much of the public reaction to Dobbs v. Jackson has been expressed on social media.…”

Section: Introductionmentioning

confidence: 99%

Examination of the Public’s Reaction on Twitter to the Over-Turning of Roe v Wade and Abortion Bans

Mane

Yue

et al. 2022

Healthcare

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The overturning of Roe v Wade reinvigorated the national debate on abortion. We used Twitter data to examine temporal, geographical and sentiment patterns in the public’s reaction. Using the Twitter API for Academic Research, a random sample of publicly available tweets was collected from 1 May–15 July in 2021 and 2022. Tweets were filtered based on keywords relating to Roe v Wade and abortion (227,161 tweets in 2021 and 504,803 tweets in 2022). These tweets were tagged for sentiment, tracked by state, and indexed over time. Time plots reveal low levels of conversations on these topics until the leaked Supreme Court opinion in early May 2022. Unlike pro-choice tweets which declined, pro-life conversations continued with renewed interest throughout May and increased again following the official overturning of Roe v Wade. Conversations were less prevalent in some these states had abortion trigger laws (Wyoming, North Dakota, South Dakota, Texas, Louisiana, and Mississippi). Collapsing across topic categories, 2022 tweets were more negative and less neutral and positive compared to 2021 tweets. In network analysis, tweets mentioning woman/women, supreme court, and abortion spread faster and reached to more Twitter users than those mentioning Roe Wade and Scotus. Twitter data can provide real-time insights into the experiences and perceptions of people across the United States, which can be used to inform healthcare policies and decision-making.

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Section: Introductionmentioning

confidence: 99%

Examination of the Public’s Reaction on Twitter to the Over-Turning of Roe v Wade and Abortion Bans

Mane

Yue

et al. 2022

Healthcare

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show abstract

“…Also, because Twitter demographic data does not include race, it was not possible to examine how sentiments and topics varied by race/ethnicity which could have been valuable to the findings in this study. Second, this study only used tweets posted in English language thus leaving out a proportion of tweets expressed in other languages (for example, Spanish), especially with the growing population of Latinx population in the US ( 50 ) which would have generated findings relevant to the conclusions in this study. A third limitation is related to the keywords used to retrieve Roe vs. Wade related tweets.…”

Section: Discussionmentioning

confidence: 99%

Examining ethno-racial attitudes of the public in Twitter discourses related to the United States Supreme Court Dobbs vs. Jackson Women's Health Organization ruling: A machine learning approach

Ujah,

Olaore,

Nnorom

et al. 2023

Front. Glob. Womens Health

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BackgroundThe decision of the US Supreme Court to repeal Roe vs. Wade sparked significant media attention. Although primarily related to abortion, opinions are divided about how this decision would impact disparities, especially for Black, Indigenous, and people of color. We used advanced natural language processing (NLP) techniques to examine ethno-racial contents in Twitter discourses related to the overturn of Roe vs. Wade.MethodsWe screened approximately 3 million tweets posted to Roe vs. Wade discussions and identified unique tweets in English-language that had mentions related to race, ethnicity, and racism posted between June 24 and July 10, 2022. We performed lexicon-based sentiment analysis to identify sentiment polarity and the emotions expressed in the Twitter discourse and conducted structural topic modeling to identify and examine latent themes.ResultsOf the tweets retrieved, 0.7% (n = 23,044) had mentions related to race, ethnicity, and racism. The overall sentiment polarity was negative (mean = −0.41, SD = 1.48). Approximately 60.0% (n = 12,092) expressed negative sentiments, while 39.0% (n = 81,45) expressed positive sentiments, and 3.0% (n = 619) expressed neutral sentiments. There were 20 latent themes which emerged from the topic model. The predominant topics in the discourses were related to “racial resentment” (topic 2, 11.3%), “human rights” (topic 2, 7.9%), and “socioeconomic disadvantage” (topic 16, 7.4%).ConclusionsOur study demonstrates wide ranging ethno-racial concerns following the reversal of Roe and supports the need for active surveillance of racial and ethnic disparities in abortion access in the post-Roe era.

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“…Moreover, public attitudes toward abortion are related to a variety of factors, including religion, gender, stigma, political affiliation, and socioeconomic status (Mosley et al 2020;Patev, Hood, and Hall 2019). Recently, some questionnaires and user studies examined attitudes toward Roe v. Wade (Solon et al 2022;Crawford et al 2022). They found that more participants supported Roe v. Wade than opposed it, while greater knowledge about Roe v. Wade was correlated with larger support for maintaining it.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Stance of Facebook Posts on Abortion Considering State-Level Health and Social Compositions

Aleksandric,

Anderson,

Dangal

et al. 2024

ICWSM

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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, a 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 infant mortality rate, political affiliation, abortion rates, and abortion legality are associated with stances toward abortion at the state level in the US. While aligned with existing literature, these findings indicate how public opinion, laws, and women’s and infants’ health are related, as well as how these relationships can be demonstrated by using social media data.

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Knowledge of and Attitudes Toward Roe v. Wade Among US Latinx Adults

Cited by 3 publications

References 25 publications

Examination of the Public’s Reaction on Twitter to the Over-Turning of Roe v Wade and Abortion Bans

Examination of the Public’s Reaction on Twitter to the Over-Turning of Roe v Wade and Abortion Bans

Examining ethno-racial attitudes of the public in Twitter discourses related to the United States Supreme Court Dobbs vs. Jackson Women's Health Organization ruling: A machine learning approach

Analyzing the Stance of Facebook Posts on Abortion Considering State-Level Health and Social Compositions

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