Skip to main content
SpringerLink
Log in

Sentiment Analysis on Substance Use Disorder (SUD) Tweets Before and During COVID-19 Pandemic

  • Conference paper
  • First Online:
HCI International 2021 - Posters (HCII 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1421))

Included in the following conference series:

Abstract

This research aims to explore sentiment patterns on substance use disorder (SUD) before and during the COVID-19 pandemic, which has significantly challenged global healthcare systems and resulted in 2.78 million deaths based on CDC news as of March 2021. Because of social isolation, economic hardships, and fear caused by the lockdown orders, substance use has been strikingly increased including the youth. This is alarming because SUD causes long-lasting and permanent damages to human body and brains as significant health consequences. In this project, we extracted ten-month Tweet samples from May 2019 to December 2020 on Twitter related to SUD mentioning substance and consequences before and during the COVID-19, and then identified the sentiment patterns of the tweets mentioning the SUD. We found that the sentiment trends remained negative except in March and April of 2020, when the social restrictions were imposed, much more positive sentiment appeared in SUD-related tweets.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Change history

  • 03 July 2021

    Acknowledgment section of the originally published version of chapter 77 was not complete. Additional acknowledgment and grant number were added in respective section.

References

  1. Jordan, C.J., Andersen, S.L.: Sensitive periods of substance abuse: early risk for the transition to dependence. Dev. Cogn. Neurosci. 25, 29–44 (2017)

    Article  Google Scholar 

  2. Substance Abuse and Mental Health Services Administration [SAMHSA] Report (2012). Results from the 2012 National Survey on Drug Use And Health: Summary of National Findings (NSDUH Series H-46, HHS Publication No. (SMA) 13–4795). Rockville, MD: Substance Abuse and Mental Health Services Administration. https://www.samhsa.gov/data/sites/default/files/NSDUHresults2012/NSDUHresults2012.pdf.

  3. Wu, P., et al.: Alcohol abuse/dependence symptoms among hospital employees exposed to a SARS outbreak. Alcohol. Alcohol. 43(6), 706–712 (2008)

    Article  Google Scholar 

  4. Boscarino, J.A., Kirchner, H.L., Hoffman, S.N., Sarorius, J., Adams, R.E.: PTSD and alcohol use after the World Trade Center attacks: a longitudinal study. J. Trauma. Stress 24, 515–525 (2011)

    Article  Google Scholar 

  5. Volkow, N.D.: Collision of the COVID-19 and addiction epidemics. Ann. Intern. Med. (2020). https://doi.org/10.7326/M20-1212

    Article  Google Scholar 

  6. https://www.statista.com/statistics/217448/seasonally-adjusted-monthly-youth-unemployment-rate-in-the-us/. Accessed 30 Mar 2021

  7. https://www.apa.org/monitor/2021/03/substance-use-pandemic#:~:text=According%20to%20the%20Centers%20for,the%20onset%20of%20the%20pandemic. Accessed 28 Mar 2021

  8. https://www.kff.org/coronavirus-covid-19/issue-brief/the-implications-of-covid-19-for-mental-health-and-substance-use/. Accessed 28 Mar 2021

  9. Grossman, E.R., Benjamin-Neelon, S.E., Sonnenschein, S.: Alcohol consumption during the COVID-19 pandemic: a cross-sectional survey of US adults. Int. J. Environ. Res. Public Health 17(24), 1–10 (2020)

    Article  Google Scholar 

  10. Pollard, M.S., Tucker, J.S., Green, H.D.: Changes in adult alcohol use and consequences during the COVID-19 pandemic in the US. JAMA Netw. Open 3(9), 1–4 (2020)

    Article  Google Scholar 

  11. Coughlan, M., Cronin, P., Ryan, F.: Survey research: process and limitations. Int. J. Ther. Rehabil. 16(1), 9–15 (2013)

    Article  Google Scholar 

  12. https://www.statista.com/statistics/273476/percentage-of-us-population-with-a-social-network-profile/. Accessed 30 Mar 2021

  13. Valdez, D., Thij, M.T., Bathina, K., Rutter, L.A., Bollen, J.: Social media insights into US mental health during the COVID-19 pandemic: longitudinal analysis of Twitter data. J. Med. Internet Res. 22(12), 1–11 (2020)

    Article  Google Scholar 

  14. Li, L., Ma, Z., Lee, H., Lee, S.: Can social media data be used to evaluate the risk of human interactions during the COVID-19 pandemic? Int. J. Dis. Risk Reduc. 56(102142), 1–14 (2021)

    Google Scholar 

  15. Madhu, S.: An approach to analyze suicidal tendency in blogs and tweets using sentiment analysis. Int. J. Sci. Res. Comput. Sci. Eng. 6(4), 34–36 (2018)

    MathSciNet  Google Scholar 

  16. Ramachandran, D., Parvathi, R.: Analysis of Twitter specific preprocessing technique for Tweets. Procedia Comput. Sci. 165, 245–251 (2019)

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the funding support provided by the University of South Carolina, Columbia, SC, USA [Grant No: 80002838], and partial support from the UofSC Big Data Health Science Center, a UofSC excellence initiative program [Grant No: BDHSC-2021-14]. We also would like to thank Dr. Phyllis Raynor for her clinical advice on keyword selections. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29208, USA

    Avineet Kumar Singh

  2. Department of Integrated Information Technology, University of South Carolina, Columbia, SC, 29208, USA

    Dezhi Wu

Authors
  1. Avineet Kumar Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dezhi Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dezhi Wu .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Singh, A.K., Wu, D. (2021). Sentiment Analysis on Substance Use Disorder (SUD) Tweets Before and During COVID-19 Pandemic. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Posters. HCII 2021. Communications in Computer and Information Science, vol 1421. Springer, Cham. https://doi.org/10.1007/978-3-030-78645-8_77

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-78645-8_77

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78644-1

  • Online ISBN: 978-3-030-78645-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation