{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T09:52:17Z","timestamp":1787737937057,"version":"build-2784847793"},"reference-count":61,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,1,8]],"date-time":"2020-01-08T00:00:00Z","timestamp":1578441600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Paediatric Perinatal Epid"],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Experiences typically considered private, such as, miscarriages and preterm births are being discussed publicly on social media and Internet discussion websites. These data can provide timely illustrations of how individuals discuss miscarriages and preterm births, as well as insights into the wellbeing of women who have experienced a miscarriage.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To characterise how users discuss the topic of miscarriage and preterm births on Twitter, analyse trends and drivers, and describe the perceived emotional state of women who have experienced a miscarriage.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We obtained 291\u00a0443 Twitter postings on miscarriages and preterm births from January 2017 through December 2018. Latent Dirichlet Allocation (\n                      <jats:styled-content style=\"fixed-case\">LDA<\/jats:styled-content>\n                      ) was used to identify major topics of discussion. We applied time series decomposition methods to assess temporal trends and identify major drivers of discussion. Furthermore, four coders labelled the emotional content of 7282 personal miscarriage disclosure tweets into the following non\u2010mutually exclusive categories: grief\/sadness\/depression, anger, relief, isolation, annoyance, and neutral.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Topics in our data fell into eight groups: celebrity disclosures, Michelle Obama's disclosure, politics, healthcare, preterm births, loss and anxiety, flu vaccine and ectopic pregnancies. Political discussions around miscarriages were largely due to a misunderstanding between abortions and miscarriages. Grief and annoyance were the most commonly expressed emotions within the miscarriage self\u2010disclosures; 50.6% (95% confidence interval [\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      ] 49.1, 52.2) and 16.2% (95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      15.2, 17.3). Postings increased with celebrity disclosures, pharmacists\u2019 refusal of prescribed medications and outrage over the high rate of preterm births in the United States. Miscarriage disclosures by celebrities also led to disclosures by women who had similar experiences.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study suggests that increase in discussions of miscarriage on social media are associated with several factors, including celebrity disclosures. Additionally, there is a misunderstanding of the potential physical, emotional and psychological impacts on individuals who lose a pregnancy due to a miscarriage.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ppe.12622","type":"journal-article","created":{"date-parts":[[2020,1,8]],"date-time":"2020-01-08T04:25:10Z","timestamp":1578457510000},"page":"544-552","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Discussions of miscarriage and preterm births on Twitter"],"prefix":"10.1111","volume":"34","author":[{"given":"Nina","family":"Cesare","sequence":"first","affiliation":[{"name":"Department of Global Health School of Public Health Boston University Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olubusola","family":"Oladeji","sequence":"additional","affiliation":[{"name":"Department of Global Health School of Public Health Boston University Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kadija","family":"Ferryman","sequence":"additional","affiliation":[{"name":"Department of Technology, Culture, and Society Tandon School of Engineering New York University New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Derry","family":"Wijaya","sequence":"additional","affiliation":[{"name":"Department of Computer Science Boston University Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karen D.","family":"Hendricks\u2010Mu\u00f1oz","sequence":"additional","affiliation":[{"name":"Department of Pediatrics Virginia Commonwealth University School of Medicine Richmond VA USA"},{"name":"Children's Hospital of Richmond Richmond VA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alyssa","family":"Ward","sequence":"additional","affiliation":[{"name":"Children's Hospital of Richmond Richmond VA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9170-8714","authenticated-orcid":false,"given":"Elaine O.","family":"Nsoesie","sequence":"additional","affiliation":[{"name":"Department of Global Health School of Public Health Boston University Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,1,8]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1002616"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.3223"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19656-0_4"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.2196\/publichealth.5869"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2531602.2531675"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2470654.2466447"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-017-0110-z"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.invent.2015.03.005"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858207"},{"key":"e_1_2_7_11_1","unstructured":"CDC.Facts about Stillbirth.https:\/\/www.cdc.gov\/ncbddd\/stillbirth\/facts.html. 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