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Trends in stigmatizing language about addiction: A longitudinal analysis of multiple public communication channels

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Drug Alcohol Depend
  • Personal Author:
  • Description:
    Introduction:

    Stigma associated with substance use and addiction is a major barrier to overdose prevention. Although stigma reduction is a key goal of federal strategies to prevent overdose, there is limited data to assess progress made in reducing use of stigmatizing language about addiction.

    Methods:

    Using language guidelines published by the federal National Institute on Drug Abuse (NIDA), we examined trends in use of stigmatizing terms about addiction across four popular public communication modalities: news articles, blogs, Twitter, and Reddit. We calculate percent changes in the rates of articles/posts using stigmatizing terms over a five-year period (2017–2021) by fitting a linear trendline and assess statistically significant trends using the Mann-Kendall test.

    Results:

    The rate of articles containing stigmatizing language decreased over the past five years for news articles (–68.2 %, p < 0.001) and blogs (–33.6 %, p < 0.001). Among social media platforms, the rate of posts using stigmatizing language increased (Twitter [43.5 %, p = 0.01]) or remained stable (Reddit [3.1 %, p = 0.29]). In absolute terms, news articles had the highest rate of articles containing stigmatizing terms over the five-year period (324.9 articles per million) compared to 132.3, 18.3, and 138.6 posts per million for blogs, Twitter, and Reddit, respectively.

    Conclusions:

    Use of stigmatizing language about addiction appears to have decreased across more traditional, longer-format communication modalities such as news articles. Additional work is needed to reduce use of stigmatizing language on social media.

  • Subjects:
  • Keywords:
  • Source:
    Drug Alcohol Depend. 245:109807
  • Pubmed ID:
    36801706
  • Pubmed Central ID:
    PMC10901231
  • Document Type:
  • Funding:
  • Volume:
    245
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:bfb50385c6c1aa26c2912f07e2efc6e6b462d312ed87232e50c952ae55e97813
  • Download URL:
  • File Type:
    Filetype[PDF - 417.61 KB ]
File Language:
English
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