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#digital hood: Engagement with Risk Content on Social Media among Black and Hispanic Youth

Journal of Urban Health volume 96, pages 74–82 (2019)Cite this article

Abstract

The digital neighborhood is the amalgamation of the spaces online where youth connect with others. Just as Black and Hispanic youth live in neighborhoods that influence their health, they are also influenced by online digital neighborhoods. Youth are exposed to social media content featuring substance use, sexual risk, and violence, yet little is known about the extent to which youth engage with such content. Using a modified venue sampling strategy, we administered CASI surveys to 145 Black and Hispanic youth aged 13–24 living in low-income urban neighborhoods. Across social media platforms, respondents reported high levels of exposure to sexual, alcohol, drug, and violence-related content (65–84%). Users reported lower levels of engagement with risk-related content (on an engagement continuum), ranging from passive exposure to dissemination. While negative risks may be amplified in the digital neighborhood, youth appear to strategically limit their engagement with that content. However, because risk behavior messaging is common in these digital neighborhoods, these spaces provide opportunities for health promotion interventions.

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References

  1. Kwate NO. Take one down, pass it around, 98 alcohol ads on the wall: outdoor advertising in New York City’s black neighbourhoods. Int J Epidemiol. 2007;36:988–90.

    Article  PubMed  Google Scholar 

  2. Kwate NOA, Jernigan M, Lee T. Prevalence, proximity and predictors of alcohol ads in Central Harlem. Alcohol Alcohol. 2007;42:635–40.

    Article  PubMed  Google Scholar 

  3. Ross CE, Mirowsky J. Neighborhood disadvantage, disorder, and health. J Health Soc Behav. 2001;42:258–76.

    Article  PubMed  CAS  Google Scholar 

  4. Browning CR, Leventhal T, Brooks-Gunn J. Neighborhood context and racial differences in early adolescent sexual activity. Demography. 2004;41:697–720.

    Article  PubMed  Google Scholar 

  5. Williams DR, Collins C. Racial residential segregation: a fundamental cause of racial disparities in health. Public Health Rep. 2001;116:404–16.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  6. Bauermeister JA, Zimmerman MA, Caldwell CH. Neighborhood disadvantage and changes in condom use among African American adolescents. J Urban Health. 2011;88:66–83.

    Article  PubMed  Google Scholar 

  7. Baumer EP, South SJ. Community effects on youth sexual activity. J Marriage Fam. 2001;63:540–54.

    Article  Google Scholar 

  8. Bowleg L, Neilands TB, Tabb LP, Burkholder GJ, Malebranche DJ, Tschann JM. Neighborhood context and black heterosexual men’s sexual HIV risk behaviors. AIDS Behav. 2014;18:2207–18.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Elliott DS, Wilson WJ, Huizinga D, et al. The effects of neighborhood disadvantage on adolescent development. J Res Crime Delinq. 1996;33:389–426.

    Article  Google Scholar 

  10. Stevens R, Gilliard-Matthews S, Dunaev J, Woods MK, Brawner BM, et al. The digital hood: social media use among youth in disadvantaged neighborhoods. New Media Soc. 2017;19(6):950–967. https://doi.org/10.1177/1461444815625941.

  11. Lenhart A. Teen, social media and technology overview. Retrieved from Washington, DC. 2015.

  12. Kann L, McManus T, Harris WA, et al. Youth risk behavior surveillance—United States, 2015. Morbidity and mortality weekly report surveillance summaries (Washington, DC : 2002) 2016;65:1–174.

  13. Bleakley A, Hennessy M, Fishbein M, Jordan A. It works both ways: the relationship between exposure to sexual content in the media and adolescent sexual behavior. Media Psychol. 2008;11:443–61.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Brown J, Halpern C, L’Engle K. Mass media as a sexual super peer for early maturing girls. J Adolesc Health. 2005;36:420–7.

    Article  PubMed  Google Scholar 

  15. Anderson P, de Bruijn A, Angus K, Gordon R, Hastings G. Impact of alcohol advertising and media exposure on adolescent alcohol use: a systematic review of longitudinal studies. Alcohol Alcohol. 2009;44:229–43.

    Article  PubMed  Google Scholar 

  16. Farrelly MC, Davis KC, Haviland ML, Messeri P, Healton CG. Evidence of a dose-response relationship between “truth” antismoking ads and youth smoking prevalence. Am J Public Health. 2005;95:425–31.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wong C, Merchant R, Moreno M. Using social media to engage adolescents and young adults with their health. Healthcare: the Journal of Delivery Science and Innovation 2014.

  18. Morgan EM, Snelson C, Elison-Bowers P. Image and video disclosure of substance use on social media websites. Comput Hum Behav. 2010;26:1405–11.

    Article  Google Scholar 

  19. Patton DU, Eschmann RD, Butler DA. Internet banging: new trends in social media, gang violence, masculinity and hip hop. Comput Hum Behav. 2013;29:A54–9.

    Article  Google Scholar 

  20. Allison S, Bauermeister JA, Bull S, Lightfoot M, Mustanski B, Shegog R, et al. The intersection of youth, technology, and new media with sexual health: moving the research agenda forward. J Adolesc Health. 2012;51:207–12.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Guse K, Levine D, Martins S, Lira A, Gaarde J, Westmorland W, et al. Interventions using new digital media to improve adolescent sexual health: a systematic review. J Adolesc Health. 2012;51:535–43.

    Article  PubMed  Google Scholar 

  22. Martins MC, Diaz JE, Valino R, et al. Havens of risks or resources? A study of two Hispanic neighborhoods in New York City. J Urban Health. 2014;91:477–88.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Patton DU, Hong JS, Ranney M, Patel S, Kelley C, Eschmann R, et al. Social media as a vector for youth violence: a review of the literature. Comput Hum Behav. 2014;35:548–53.

    Article  Google Scholar 

  24. Moreno MA, Parks MR, Zimmerman FJ, Brito TE, Christakis DA. Display of health risk behaviors on MySpace by adolescents: prevalence and associations. Arch Pediatr Adolesc Med. 2009;163:27–34.

    PubMed  Google Scholar 

  25. Moreno MA, Christakis DA, Egan KG, Brockman LN, Becker T. Associations between displayed alcohol references on Facebook and problem drinking among college students. Arch Pediatr Adolesc Med. 2012;166:157–63.

    Article  PubMed  Google Scholar 

  26. Boyer CB, Shafer M-A, Wibbelsman CJ, Seeberg D, Teitle E, Lovell N. Associations of sociodemographic, psychosocial, and behavioral factors with sexual risk and sexually transmitted diseases in teen clinic patients. J Adolesc Health. 2000;27:102–11.

    Article  PubMed  CAS  Google Scholar 

  27. Niederdeppe J, Hornik RC, Kelly BJ, Frosch DL, Romantan A, Stevens RS, et al. Examining the dimensions of cancer-related information seeking and scanning behavior. Health Commun. 2007;22:153–67.

    Article  PubMed  Google Scholar 

  28. Census US. American FactFinder - Results. Available at: http://factfinder2.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_12_1YR_S0101&prodType=table files/449/productview.html. Accessed 3 Jan 2018

  29. Muhib FB, Lin LS, Stueve A, Miller RL, Ford WL, Johnson WD, et al. A venue-based method for sampling hard-to-reach populations. Public Health Rep. 2001;116(Suppl 1):216–22.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Van Schuur WH. Mokken scale analysis: between the Guttman scale and parametric item response theory. Polit Anal. 2003;11:139–63.

    Article  Google Scholar 

  31. Moreno M, Briner L, Williams A, et al. A content analysis of displayed alcohol references on a social networking web site. J Adolesc Health. 2010;47:168–75.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Granovetter MS. The strength of weak ties. Am J Sociol. 1973;78:1360–80.

    Article  Google Scholar 

  33. Centola D. The spread of behavior in an online social network experiment. Science. 2010;329:1194–7.

    Article  PubMed  CAS  Google Scholar 

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Acknowledgments

The study was funded, in part, by Rutgers University ‐Camden.

Author information

Authors and Affiliations

  1. University of Pennsylvania School of Nursing, Philadelphia, PA, USA

    Robin Stevens

  2. University of Pennsylvania, Philadelphia, PA, USA

    Amy Bleakley & Michael Hennessy

  3. Rutgers University-Camden, Camden, USA

    Jamie Dunaev & Stacia Gilliard-Matthews

Authors
  1. Robin Stevens
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  2. Amy Bleakley
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  3. Michael Hennessy
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  4. Jamie Dunaev
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  5. Stacia Gilliard-Matthews
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Correspondence to Robin Stevens.

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Stevens, R., Bleakley, A., Hennessy, M. et al. #digital hood: Engagement with Risk Content on Social Media among Black and Hispanic Youth. J Urban Health 96, 74–82 (2019). https://doi.org/10.1007/s11524-018-0314-y

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  • DOI: https://doi.org/10.1007/s11524-018-0314-y

Keywords

  • Social media
  • Youth
  • Sexual health
  • Substance
  • Alcohol
  • Drug
  • Violence