IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i9p5617-d1131109.html
   My bibliography  Save this article

Tweets That Matter: Exploring the Solutions to Maternal Mortality in the United States Discussed by Advocacy Organizations on Twitter

Author

Listed:
  • Diane Ezeh Aruah

    (Communication Department, Tennessee State University, Nashville, TN 37209, USA)

  • Yvonne Henshaw

    (Air Liquide, St Ne N20, Calgary, AB T2E 7H7, Canada)

  • Kim Walsh-Childers

    (College of Journalism and Communication, University of Florida, Gainesville, FL 32611, USA)

Abstract

This study investigated maternal mortality solutions mentioned on Twitter by maternal health advocacy organizations in the United States. Using qualitative content analysis, we examined tweets from 20 advocacy organizations and found that the majority of the tweets focused on policy, healthcare, community, and individual solutions. The most tweeted policy solutions include tweets advocating signing birth equity, paid family leave, Medicaid expansion, and reproductive justice bills, whereas the most tweeted community solutions were funding community organizations, hiring community doulas, and building community health centers. The most tweeted individual solutions were storytelling, self-advocacy, and self-care. These findings provide insights into the perspectives and priorities of advocacy organizations working to address maternal mortality in the United States and can inform future efforts to combat this critical public health issue.

Suggested Citation

  • Diane Ezeh Aruah & Yvonne Henshaw & Kim Walsh-Childers, 2023. "Tweets That Matter: Exploring the Solutions to Maternal Mortality in the United States Discussed by Advocacy Organizations on Twitter," IJERPH, MDPI, vol. 20(9), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:9:p:5617-:d:1131109
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/9/5617/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/9/5617/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ana Reyes-Menendez & José Ramón Saura & Cesar Alvarez-Alonso, 2018. "Understanding #WorldEnvironmentDay User Opinions in Twitter: A Topic-Based Sentiment Analysis Approach," IJERPH, MDPI, vol. 15(11), pages 1-18, November.
    2. repec:aph:ajpbhl:10.2105/ajph.2016.303512_4 is not listed on IDEAS
    3. Barnes, M.D. & Hanson, C.L. & Novilla, L.M.B. & Meacham, A.T. & McIntyre, E. & Erickson, B.C., 2008. "Analysis of media agenda setting during and after Hurricane Katrina: Implications for emergency preparedness, disaster response, and disaster policy," American Journal of Public Health, American Public Health Association, vol. 98(4), pages 604-610.
    4. Sinnenberg, L. & Buttenheim, A.M. & Padrez, K. & Mancheno, C. & Ungar, L. & Merchant, R.M., 2017. "Twitter as a tool for health research: A systematic review," American Journal of Public Health, American Public Health Association, vol. 107(1), pages 1-8.
    5. Sophie E. Jordan & Sierra E. Hovet & Isaac Chun-Hai Fung & Hai Liang & King-Wa Fu & Zion Tsz Ho Tse, 2018. "Using Twitter for Public Health Surveillance from Monitoring and Prediction to Public Response," Data, MDPI, vol. 4(1), pages 1-20, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luis-Millán González & José Devís-Devís & Maite Pellicer-Chenoll & Miquel Pans & Alberto Pardo-Ibañez & Xavier García-Massó & Fernanda Peset & Fernanda Garzón-Farinós & Víctor Pérez-Samaniego, 2021. "The Impact of COVID-19 on Sport in Twitter: A Quantitative and Qualitative Content Analysis," IJERPH, MDPI, vol. 18(9), pages 1-20, April.
    2. Brian R. Johnson & Eric Connolly & Timothy S. Carter, 2011. "Corporate social responsibility: the role of Fortune 100 companies in domestic and international natural disasters," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 18(6), pages 352-369, November.
    3. Wang, Zhen & Chu, Erming & Hao, Yukai, 2024. "Towards sustainable development: How does ESG performance promotes corporate green transformation," International Review of Financial Analysis, Elsevier, vol. 91(C).
    4. Muhammad Imran & Umair Qazi & Ferda Ofli, 2022. "TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels," Data, MDPI, vol. 7(1), pages 1-27, January.
    5. Isaac Chun-Hai Fung & Jingjing Yin & Keisha D. Pressley & Carmen H. Duke & Chen Mo & Hai Liang & King-Wa Fu & Zion Tsz Ho Tse & Su-I Hou, 2019. "Pedagogical Demonstration of Twitter Data Analysis: A Case Study of World AIDS Day, 2014," Data, MDPI, vol. 4(2), pages 1-12, June.
    6. Nason Maani Hessari & May CI van Schalkwyk & Sian Thomas & Mark Petticrew, 2019. "Alcohol Industry CSR Organisations: What Can Their Twitter Activity Tell Us about Their Independence and Their Priorities? A Comparative Analysis," IJERPH, MDPI, vol. 16(5), pages 1-12, March.
    7. Sonja I. Garske & Suzanne Elayan & Martin Sykora & Tamar Edry & Linus B. Grabenhenrich & Sandro Galea & Sarah R. Lowe & Oliver Gruebner, 2021. "Space-Time Dependence of Emotions on Twitter after a Natural Disaster," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    8. Stefano Bruzzese & Wasim Ahmed & Simone Blanc & Filippo Brun, 2022. "Ecosystem Services: A Social and Semantic Network Analysis of Public Opinion on Twitter," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    9. Cano-Marin, Enrique & Mora-Cantallops, Marçal & Sanchez-Alonso, Salvador, 2023. "The power of big data analytics over fake news: A scientometric review of Twitter as a predictive system in healthcare," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    10. Javier Jiménez-Cabas & Lizeth Torres & Jorge de J. Lozoya-Santos, 2023. "Twitter Data Mining for the Diagnosis of Leaks in Drinking Water Distribution Networks," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    11. Santoveña-Casal, Sonia & Pérez, Ma Dolores Fernández, 2022. "Relevance of E-Participation in the state health campaign in Spain: #EstoNoEsUnJuego / #ThisIsNotAGame," Technology in Society, Elsevier, vol. 68(C).
    12. Yuxiang Hong & Taesam Lee & Jong-Suk Kim, 2019. "Serial Multiple Mediation Analyses: How to Enhance Individual Public Health Emergency Preparedness and Response to Environmental Disasters," IJERPH, MDPI, vol. 16(2), pages 1-13, January.
    13. Paramveer S. Dhillon & Sinan Aral, 2021. "Modeling Dynamic User Interests: A Neural Matrix Factorization Approach," Marketing Science, INFORMS, vol. 40(6), pages 1059-1080, November.
    14. Weiwei Zhu & Gaorong Zhang & Qi Shen & Chuanhui Liao, 2022. "The Dynamics of Public Attention to Online Disaster Information," International Journal of Social Science Studies, Redfame publishing, vol. 10(3), pages 56-66, May.
    15. James Garnett & Alexander Kouzmin, 2009. "Crisis Communication Post Katrina: What are we Learning?," Public Organization Review, Springer, vol. 9(4), pages 385-398, December.
    16. Meng Hsiu Tsai & Yingfeng Wang, 2021. "Analyzing Twitter Data to Evaluate People’s Attitudes towards Public Health Policies and Events in the Era of COVID-19," IJERPH, MDPI, vol. 18(12), pages 1-14, June.
    17. Gabrielle Turner-McGrievy & Amir Karami & Courtney Monroe & Heather M. Brandt, 2020. "Dietary pattern recognition on Twitter: a case example of before, during, and after four natural disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1035-1049, August.
    18. Ki Woong Cho, 2024. "Home Team Effect and Opinion Network after the Sewol Ferry Disaster: A mixed-method study of the influence of symbol and feedback on liberal versus conservative newspapers’ negative opinions," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-21, December.
    19. Shu Ishida & Takanori Matsui & Chihiro Haga & Keiko Hori & Shizuka Hashimoto & Osamu Saito, 2023. "Twitter Mining for Detecting Interest Trends on Biodiversity: Messages from Seven Language Communities," Sustainability, MDPI, vol. 15(17), pages 1-29, August.
    20. Dan Bumblauskas & Amy Igou & Salil Kalghatgi & Cole Wetzel, 2022. "Public Policy and Broader Applications for the Use of Text Analytics During Pandemics," Interfaces, INFORMS, vol. 52(6), pages 568-581, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:9:p:5617-:d:1131109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.