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Anti-immigration sentiment and public opinion on human trafficking

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Abstract

Prior research shows that anti-immigration sentiment affects public opinion about criminal justice problems and solutions. However, we know little about how these sentiments affect public opinion about human trafficking. This paper attempts to fill this gap by examining the role of anti-immigration sentiment in shaping public support for anti-trafficking efforts in the United States. Specifically, this research examines the effect of anti-immigration sentiment on the public’s understanding about vulnerabilities for human trafficking among migrant populations and corresponding support for policies directed at the protection of migrant trafficked persons. This is particularly important because public policies that safeguard migrant trafficked persons have been among the most difficult to pass despite strong support for the governmental prioritization of anti-trafficking efforts overall. Utilizing public opinion data from an original, nationally representative survey experiment of 2000 Americans, this study finds that anti-immigration sentiment (1) is associated with greater recognition of the vulnerability of immigrants to human trafficking victimization; (2) does not impact public support for a general governmental prioritization of human trafficking policies; yet (3) creates less public support for victim services for non-citizen trafficked persons; and (4) stems from differences in political views impacting support for services for immigrant victims. These findings contribute to an understanding of the role of anti-immigration sentiment in public opinion about crime and have implications for policies aimed at improving the identification of and outcomes for migrant trafficked persons.

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Notes

  1. After participants have been recruited and accept the invitation to join KnowledgePanel, they are asked to first complete a brief demographic survey of which the answers are utilized for panel sampling and weighting for specific domain surveys. Next, a simple random sample from the panel is taken for a domain survey. Generally, GfK does not assign more than one survey per week to individual panel members. Participation in any survey is voluntary and GfK provides laptop computers and Internet service connection to any participant who does not already have them. Participants in the survey underlying the current study received a five-dollar compensation.

  2. It was clarified to respondents that the definition of human trafficking under federal law does “not require that a trafficking victim be physically transmitted from one location to another, only that their services be extracted by force, fraud, or coercion (unless the victim is a minor, in which case force, fraud, or coercion is not necessary). The data did not allow for views on immigrant risk to be separated between immigrants victimized in the process of coming to the US versus those victimized after having arrived to the US.

  3. Age was excluded due to an insignificant and negligible contribution to the overall model.

  4. Findings from ordinal logistic regression did not affect substantive interpretation of the results. For purposes of simplicity and comparability across the three models, this study presents the results from OLS techniques for which the cited research has confirmed robust and efficient estimates.

  5. Several sensitivity analyses were conducted to assess the robustness of the findings. Results from fixed-effect linear regression analyses as well as mixed-effects regression models were examined to account for any potential omitted variable bias as a result of economic or cultural variation on state-level. None of these analyses impacted the interpretation of the findings in meaningful ways. Results are available upon request.

References

  1. Applegate, B. K., Cullen, F. T., & Fisher, B. S. (2002). Public views toward crime and correctional policies: Is there a gender gap? Journal of Criminal Justice, 30(2), 89–100.

    Google Scholar 

  2. Aronowitz, A. A. (2009). Human trafficking, human misery: The global trade in human beings. Westport, CT: Greenwood Publishing Group.

    Google Scholar 

  3. Bales, K. (2004). Disposable people. New slavery in the global economy. Berkely. University of California Press.

  4. Barrick, K., & Lattimore, P. K. (2014). Labor Trafficking Victimization among Farmworkers in North Carolina : Role of Demographic Characteristics and Acculturation 1. 2(2), 225–243.

  5. Barrick, K., Lattimore, P. K., Pitts, W., & Zhang, S. X. (2013). Indicators of labor trafficking among North Carolina migrant farmworkers: U.S. Department of Justice.

  6. Beane, J. A. (1993). A middle school curriculum: From rhetoric to reality: National Middle School Association.

  7. Berg, J. A. (2009). White public opinion toward undocumented immigrants: Threat and interpersonal environment. Sociological Perspectives, 52(1), 39–58.

    Google Scholar 

  8. Blinder, S. (2015). Imagined immigration: The impact of different meanings of ‘immigrants’ in public opinion and policy debates in Britain. Political Studies, 63(1), 80–100.

    Google Scholar 

  9. Bouché, V., Farrell, A., & Wittmer, D. (2016). Identifying Effective Counter-Trafficking Programs and Practices in the US: Legislative, Legal, and Public Opinion Strategies that Work. U.S. Department of Justice: NCJRS.

  10. Brader, T., Valentino, N. A., & Suhay, E. (2008). What triggers public opposition to immigration? Anxiety, group cues, and immigration threat. American Journal of Political Science, 52(4), 959–978.

    Google Scholar 

  11. Brayley, H., & Cockbain, E. (2014). British children can be trafficked too: Towards an inclusive definition of internal child sex trafficking. Child Abuse Review, 23(3), 171–184.

    Google Scholar 

  12. Brennan, D. (2014). Life interrupted: Trafficking into forced labor in the United States. Duke University Press.

  13. Carifio, J., & Perla, R. (2008). Resolving the 50-year debate around using and misusing Likert scales. Medical Education, 42(12), 1150–1152.

    Google Scholar 

  14. Chapkis, W. (2003). Trafficking, migration, and the law: Protecting innocents, punishing immigrants. Gender & Society, 17(6), 923–937.

    Google Scholar 

  15. Charnysh, V., Lloyd, P., & Simmons, B. A. (2015). Frames and consensus formation in international relations: The case of trafficking in persons. European Journal of International Relations, 21(2), 323–351. https://doi.org/10.1177/1354066114530173.

    Article  Google Scholar 

  16. Chuang, J. A. (2010). Rescuing trafficking from ideological capture: Prostitution reform and anti-trafficking law and policy. University of Pennsylvania Law Review, 158(6), 1655–1728.

    Google Scholar 

  17. Clawson, H. J., Salomon, A., & Goldblatt Grace, L. (2006). Treating the Hidden Wounds: Trauma Treatment and Mental Health Recovery for Victims of Human Trafficking. Treating the hidden wounds: Trauma treatment and mental health recovery for victims of human trafficking. Washington, DC: Office of the Assistant Secretary for Planning and Evaluation, U.S. Department of, 1–10.

  18. Cockbain, E., Bowers, K., & Dimitrova, G. (2018). Human trafficking for labour exploitation: The results of a two-phase systematic review mapping the European evidence base and synthesising key scientific research evidence. Journal of Experimental Criminology, 1–42.

  19. Cohen, S. (2001). Immigration controls, the family and the welfare state: A handbook of law, theory, politics and practice for local authority, voluntary sector and welfare state workers and legal advisors: Jessica Kingsley Publishers.

  20. Doezema, J. (1998). Forced to choose: Beyond the voluntary v. forced prostitution dichotomy.

  21. Dunaway, J., Branton, R. P., & Abrajano, M. A. (2010). Agenda setting, public opinion, and the issue of immigration reform. Social Science Quarterly, 91(2), 359–378.

    Google Scholar 

  22. Erikson, R. S., McIver, J. P., & Wright, G. C. (1987). State political culture and public opinion. American Political Science Review, 81(3), 797–813.

    Google Scholar 

  23. Erikson, R. S., Wright, G. C., & McIver, J. P. (1989). Political parties, public opinion, and state policy in the United States. American Political Science Review, 83(3), 729–750.

    Google Scholar 

  24. Espenshade, T. J., & Hempstead, K. (1996). Contemporary American attitudes toward U.S. immigration. International Migration Review, 30, 535–570.

    Google Scholar 

  25. Farrell, A., & Fahy, S. (2009). The problem of human trafficking in the US: Public frames and policy responses. Journal of Criminal Justice, 37(6), 617–626. https://doi.org/10.1016/j.jcrimjus.2009.09.010.

    Article  Google Scholar 

  26. Farrell, A., Owens, C., & McDevitt, J. (2014). New laws but few cases: Understanding the challenges to the investigation and prosecution of human trafficking cases. Crime, Law and Social Change, 61(2), 139–168.

    Google Scholar 

  27. Garand, J. C., Xu, P., & Davis, B. C. (2017). Immigration attitudes and support for the welfare state in the American mass public. American Journal of Political Science, 61(1), 146–162.

    Google Scholar 

  28. Gilliam, F. D., Jr., & Iyengar, S. (2000). Prime suspects: The influence of local television news on the viewing public. American Journal of Political Science, 44, 560–573.

    Google Scholar 

  29. Gilliam, F. D., Jr., Iyengar, S., Simon, A., & Wright, O. (1996). Crime in black and white: The violent, scary world of local news. Harvard International Journal of press/politics, 1(3), 6–23.

    Google Scholar 

  30. Gusfield, J. R., & Schwartz, M. (1963). The meanings of occupational prestige: Reconsideration of the NORC scale. American Sociological Review, 28(2), 265–271.

    Google Scholar 

  31. Hagan, J., Levi, R., & Dinovitzer, R. (2008). The symbolic violence of the crime-immigration nexus: Migrant mythologies in the Americas. Criminology & Public Policy, 7(1), 95–112.

    Google Scholar 

  32. Hainmueller, J., & Hopkins, D. J. (2014). Public attitudes toward immigration. Annual Review of Political Science, 17, 225–249.

    Google Scholar 

  33. Harell, A., Soroka, S., & Iyengar, S. (2017). Locus of control and anti-immigrant sentiment in Canada, the United States, and the United Kingdom. Political Psychology, 38(2), 245–260.

    Google Scholar 

  34. Herzog, S. (2008). The lenient social and legal response to trafficking in women: An empirical analysis of public perceptions in Israel. Journal of Contemporary Criminal Justice, 24(3), 314–333.

    Google Scholar 

  35. Ingram, E. M. (2007). A comparison of help seeking between Latino and non-Latino victims of intimate partner violence. Violence Against Women, 13(2), 159–171.

    Google Scholar 

  36. Jahic, G., & Finckenauer, J. O. (2005). Representations and misrepresentations of human trafficking. Trends in Organized Crime, 8(3), 24–40.

    Google Scholar 

  37. Kleemans, E. R. (2007). Organized crime, transit crime, and racketeering. Crime and Justice, 35(1), 163–215.

    Google Scholar 

  38. Kline, R. B. (2005). Principles and practices of structural equation modeling (2nd ed.). New York: Guilford Press.

  39. Koulish, R. (2012). Entering the risk society: A contested terrain for immigration enforcement. Social Control and Justice: Crimmigration in the Age of fear. Haia: Eleven International Publishing, 61–86.

  40. Lee, J., & Bean, F. D. (2010). The diversity paradox: Immigration and the color line in twenty-first century America: Russell Sage Foundation.

  41. MacLeod, L., & Shin, M. (1990). Isolated, afraid and forgotten: The service delivery needs and realities of immigrant and refugee women who are battered: National Clearinghouse on Family Violence, Health and Welfare Canada Ottawa.

  42. Major, B., Blodorn, A., & Major Blascovich, G. (2016). The threat of increasing diversity: Why many white Americans support trump in the 2016 presidential election. Group Processes & Intergroup Relations, 1368430216677304.

  43. Martinez, R., Jr., & Stowell, J. I. (2012). Extending immigration and crime studies: National implications and local settings. The Annals of the American Academy of Political and Social Science, 641(1), 174–191.

    Google Scholar 

  44. McLaren, L., Boomgaarden, H., & Vliegenthart, R. (2017). News coverage and public concern about immigration in Britain. International Journal of Public Opinion Research, edw033.

  45. Murray, J. (2013). Likert data: What to use, parametric or non-parametric? International Journal of Business and Social Science, 4(11).

  46. Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Theory Into Practice, 15(5), 625–632. https://doi.org/10.1007/s10459-010-9222-y.

    Article  Google Scholar 

  47. Raj, A., & Silverman, J. (2002). Violence against immigrant women: The roles of culture, context, and legal immigrant status on intimate partner violence. Violence Against Women, 8(3), 367–398.

    Google Scholar 

  48. RCoreTeam. (2018). R: A language and environment for statistical computing. R Foundation for statistical computing. Vienna, Austria: Retrieved from https://www.R-project.org/.

  49. Rosseel, Y. (2012). An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36.

    Google Scholar 

  50. Rumbaut, R. G., & Ewing, W. A. (2007). The myth of immigrant criminality and the paradox of assimilation: Incarceration rates among native and foreign-born men: Immigration Policy Center, American Immigration Law Foundation.

  51. Sampson, R. J. (2008). Rethinking crime and immigration. Contexts, 7(1), 28–33.

    Google Scholar 

  52. Sayad, A. (2018). The suffering of the immigrant. John Wiley & Sons.

  53. Shapiro, R. Y., & Mahajan, H. (1986). Gender differences in policy preferences: A summary of trends from the 1960s to the 1980s. Public Opinion Quarterly, 50(1), 42–61.

    Google Scholar 

  54. Sides, J., & Citrin, J. (2007). European opinion about immigration: The role of identities, interests and information. British Journal of Political Science, 37(3), 477–504.

    Google Scholar 

  55. Simon, R. J., & Alexander, S. H. (1993). The ambivalent welcome: Print media, public opinion, and immigration: Praeger Publishers.

  56. Sniderman, P. M., Hagendoorn, L., & Prior, M. (2004). Predisposing factors and situational triggers: Exclusionary reactions to immigrant minorities. American Political Science Review, 98(1), 35–49.

    Google Scholar 

  57. Srikantiah, J. (2007). Perfect victims and real survivors: The iconic victim in domestic human trafficking law. Immigr. & Nat'lity L. Rev, 28, 741.

    Google Scholar 

  58. Stolz, B. (2005). Educating policymakers and setting the criminal justice policymaking agenda: Interest groups and the ‘victims of trafficking and violence act of 2000’. Criminal Justice, 5(4), 407–430.

    Google Scholar 

  59. Stumpf, J. (2013). The process is the punishment in crimmigration law. The Borders of punishment: Migration, citizenship, and social exclusion, 58–75.

  60. Van der Leun, J., & van der Woude, M. (2013). A reflection on crimmigration in the Netherlands: On the cultural security complex and the impact of framing. Social control and justice: crimmigration in the age of fear, 41–60.

  61. Wacquant, L. (1999). Suitable enemies' foreigners and immigrants in the prisons of Europe. Punishment & Society, 1(2), 215–222.

    Google Scholar 

  62. Wacquant, L. (2005). Enemies of the wholesome part of the nation. Sociologie, 1, 1.

    Google Scholar 

  63. Wadgave, U., & Khairnar, M. R. (2016). Parametric tests for Likert scale: For and against. Asian Journal of Psychiatry, 24, 67–68.

    Google Scholar 

  64. Watson, B. R., & Riffe, D. (2012). Perceived threat, immigration policy support, and media coverage: Hostile media and presumed influence. International Journal of Public Opinion Research, 25(4), 459–479.

    Google Scholar 

  65. Wittmer, D. E., & Bouché, V. (2013). The limits of gendered leadership: Policy implications of female leadership on “women's issues”. Politics & Gender, 9(3), 245–275. https://doi.org/10.1017/S1743923X1300024X

  66. Zhang, S. X. (2012a). Looking for a hidden population: Trafficking of migrant laborers in San Diego County: United States Department of Justice.

  67. Zhang, S. X. (2012b). Measuring labor trafficking: A research note. Crime, Law and Social Change, 58(4), 469–482. https://doi.org/10.1007/s10611-012-9393-y.

    Article  Google Scholar 

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Acknowledgments

The current study was, in part, funded by a Research Scholar Fellowship of the Violence and Justice Research Laboratory at Northeastern University (2017) awarded to the first two authors of this manuscript. The original research was funded by the National Institute of Justice, Grant #2012-MU-CX-0027.

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de Vries, I., Nickerson, C., Farrell, A. et al. Anti-immigration sentiment and public opinion on human trafficking. Crime Law Soc Change 72, 125–143 (2019). https://doi.org/10.1007/s10611-019-09838-5

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