{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T00:01:45Z","timestamp":1789084905823,"version":"build-2803163510"},"reference-count":52,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T00:00:00Z","timestamp":1717718400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000038","name":"U.S. Food and Drug Administration","doi-asserted-by":"publisher","award":["2U01FD004275-06"],"award-info":[{"award-number":["2U01FD004275-06"]}],"id":[{"id":"10.13039\/100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Production and Operations Management"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:p>\n                    \n                    \n                    Consumers taking prescription drugs have limited ability to ascertain drug quality before taking the drug. After drug use, however, consumers frequently report their personal experiences with prescription drugs on one of the world's largest medical websites: WebMD. Drug reviews on WebMD are a potentially rich source of free-form text that can be utilized to inform firms, consumers, researchers, and the Food and Drug Administration (FDA) about the quality and safety of prescription drugs. Additionally, because men and women communicate in starkly different ways, the gender of the reviewer may play a key role in drug reviews signaling drug quality problems. We examine if drug review textual sentiment is associated with the hazard of a serious drug recall and whether this relationship varies depending on the gender of the reviewer. We analyze textual sentiment on drug reviews from WebMD along with 13 years of drug recall data using several hazard models. We find that the more negative the drug review sentiment, the greater the hazard of a serious recall on that drug. This relationship is completely explained by drug reviews written by females; reviews written by males have no explanatory power. Our findings are confirmed by numerous robustness checks. In post-hoc analysis, we explore possible mechanisms by comparing female and male adverse events on the recalled drugs in our study. Our contributions to gender diversity and drug quality literature lead to implications for the FDA, WebMD, and firms that manufacture prescription drugs.\n                  <\/jats:p>","DOI":"10.1177\/10591478241256644","type":"journal-article","created":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T07:52:30Z","timestamp":1715241150000},"page":"698-710","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["Gender and Serious Drug Recalls: A\u00a0Textual Sentiment Analysis of Drug\u00a0Reviews on WebMD"],"prefix":"10.1177","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2585-0629","authenticated-orcid":false,"given":"George P","family":"Ball","sequence":"first","affiliation":[{"name":"Operations and Decision Technologies Department, Kelley School of Business, Indiana University, Bloomington, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hessam","family":"Bavafa","sequence":"additional","affiliation":[{"name":"Operations &amp; Information Management Department, Wisconsin School of Business, University of Wisconsin-Madison, Madison, WI, USA"},{"name":"School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian C","family":"Blanco","sequence":"additional","affiliation":[{"name":"Operations and Business Analytics, Fisher College of Business, Ohio State University, Columbus, OH, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9818-217X","authenticated-orcid":false,"given":"Hyunwoo","family":"Park","sequence":"additional","affiliation":[{"name":"Graduate School of Data Science, Seoul National University, Seoul, South\u00a0Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3149-152X","authenticated-orcid":false,"given":"Kaitlin D","family":"Wowak","sequence":"additional","affiliation":[{"name":"Department of IT, Analytics, and Operations, Mendoza College of Business, University of Notre Dame, Notre Dame, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,6,7]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"crossref","unstructured":"Alpert AE Evans WN Lieber EM et\u00a0al. 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