Conference paper Open Access

Correcting health misinformation online: Collaborative crosschecking

Costello, Kaitlin L.


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/e0353e2a-114d-4b82-8a36-4e66a4ba4496/IST_2020_paper_12.pdf"
      }, 
      "checksum": "md5:48a04610e80a9155be077a7b1a37abfe", 
      "bucket": "e0353e2a-114d-4b82-8a36-4e66a4ba4496", 
      "key": "IST_2020_paper_12.pdf", 
      "type": "pdf", 
      "size": 173594
    }
  ], 
  "owners": [
    70597
  ], 
  "doi": "10.5281/zenodo.3885211", 
  "stats": {
    "version_unique_downloads": 26.0, 
    "unique_views": 66.0, 
    "views": 72.0, 
    "version_views": 72.0, 
    "unique_downloads": 26.0, 
    "version_unique_views": 66.0, 
    "volume": 4860632.0, 
    "version_downloads": 28.0, 
    "downloads": 28.0, 
    "version_volume": 4860632.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.3885211", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.3885210", 
    "bucket": "https://zenodo.org/api/files/e0353e2a-114d-4b82-8a36-4e66a4ba4496", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.3885210.svg", 
    "html": "https://zenodo.org/record/3885211", 
    "latest_html": "https://zenodo.org/record/3885211", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.3885211.svg", 
    "latest": "https://zenodo.org/api/records/3885211"
  }, 
  "conceptdoi": "10.5281/zenodo.3885210", 
  "created": "2020-06-08T11:41:49.480029+00:00", 
  "updated": "2020-06-08T22:18:20.770022+00:00", 
  "conceptrecid": "3885210", 
  "revision": 2, 
  "id": 3885211, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.3885211", 
    "description": "<p>Patients, especially those with chronic conditions, increasingly use the Internet to find and<br>\nexchange health information with other patients. Healthcare providers are often concerned that<br>\npatients will find misinformation online, particularly in patient peer support groups; providers<br>\nmay even deter patients from using the Internet as an information source in order to prevent them<br>\nfrom encountering misinformation (Chung, 2013). In online support groups, however, health<br>\nmisinformation is often corrected relatively quickly by other patients (Esquivel et al., 2006). The<br>\npurpose of this paper is to introduce the concept of collaborative crosschecking, which describes<br>\nhow patients teach one another information literacy skills in the process of correcting health<br>\nmisinformation in online support groups.</p>", 
    "language": "eng", 
    "title": "Correcting health misinformation online: Collaborative crosschecking", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "3885210"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "3885211"
          }
        }
      ]
    }, 
    "communities": [
      {
        "id": "information_science_trends"
      }
    ], 
    "keywords": [
      "Health information behavior", 
      "information literacy", 
      "online support groups"
    ], 
    "publication_date": "2020-06-08", 
    "creators": [
      {
        "orcid": "0000-0002-1589-7418", 
        "affiliation": "School of Communication & Information, Rutgers University, New Brunswick, New Jersey, USA", 
        "name": "Costello, Kaitlin L."
      }
    ], 
    "meeting": {
      "dates": "8-10 June 2020", 
      "title": "Information Science Trends: Health Information Behavior", 
      "acronym": "#AECIST20", 
      "url": "https://www.asist.org/2020/04/14/67651/", 
      "session": "2", 
      "place": "online", 
      "session_part": "3 pages"
    }, 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.3885210", 
        "relation": "isVersionOf"
      }
    ]
  }
}
72
28
views
downloads
All versions This version
Views 7272
Downloads 2828
Data volume 4.9 MB4.9 MB
Unique views 6666
Unique downloads 2626

Share

Cite as