Evidence map›Paper›PMID 36553914›Full record

ArticleHealthcare (Basel, Switzerland)2022

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

Heran Mane, Xiaohe Yue, Weijun Yu, Amara Channell Doig, Hanxue Wei, Nataly Delcid, Afia-Grace Harris, Thu T Nguyen, Quynh C Nguyen

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Heran ManeDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.
Xiaohe YueDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.
Weijun YuDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.ORCID 0000-0002-0771-5581
Amara Channell DoigDepartment of Behavioral and Community Health, University of Maryland School of Public Health, College Park, MD 20742, USA.ORCID 0000-0002-1546-3003
Hanxue WeiDepartment of City and Regional Planning, Cornell University, 921 University Ave, Ithaca, NY 14850, USA.ORCID 0000-0001-6657-4048
Nataly DelcidMcKinney Public High School, 1400 Wilson Creek Pkwy, McKinney, TX 75069, USA.
Afia-Grace HarrisDepartment of Public Health Science, University of Maryland School of Public Health, College Park, MD 20742, USA.
Thu T NguyenDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.
Quynh C NguyenDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.ORCID 0000-0003-4745-6681

Funding

Risk and strength: determining the impact of area-level sentiment and protective factors on birth outcomesR01MD015716 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU · 2021 to 2025
$3.6M
Rosie the Chatbot: Leveraging Automated and Personalized Health Information Communication to Reduce Disparities in Maternal and Child HealthR01MD016037 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU, NORELL, ELIZABETH MARIE · 2021 to 2025
$3.3M
Neighborhood Looking Glass: 360 Degree Automated Characterization of the Built Environment for Neighborhood Effects ResearchR01LM012849 · NLM · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, QUYNH · 2018 to 2021
$1.3M
Place-level discrimination and birth outcomesR00MD012615 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU · 2020 to 2022
$720k
NIH HHS R00MD012615; R01MD015716; R01MD016037; R01LM012849NIMHD NIH HHS R00 MD012615NIMHD NIH HHS R01 MD015716NIMHD NIH HHS R01 MD016037NLM NIH HHS R01 LM012849
6 · The paper itself

Abstract

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.

Indexed as

abortionfamily planningnetwork analysispro-choicepro-lifeRoe v Wadesentiment analysiswomen’s rights

Identifiers

PMID36553914
PMCPMC9777967

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.