{
  "id": 7781,
  "url": "https://doi.org/10.3233/978-1-61499-564-7-761",
  "title": "Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on Twitter",
  "summary": "The manner in which people preferentially interact with others like themselves suggests that information about social connections may be useful in the surveillance of opinions for public health purposes. We examined if social connection information from tweets about human papillomavirus (HPV) vaccines could be used to train classifiers that identify anti-vaccine opinions. From 42,533 tweets posted between October 2013 and March 2014, 2,098 were sampled at random and two investigators independent",
  "authors": "Xujuan Zhou, Enrico Coiera, Guy Tsafnat, Diana Arachi, Ong Mei-Sing, Adam G. Dunn",
  "category": "research",
  "topics": "privacy-surveillance,healthcare,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2015-01-01T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:27.490Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7781",
  "original_url": "https://doi.org/10.3233/978-1-61499-564-7-761",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}