Development and validation of a measurement of Bystander Intervention on Online Hate Speech towards Immigrants (BIOHS-Immigrants)
DOI:
https://doi.org/10.17575/psicologia.1974Palavras-chave:
Bystander effect, Bystander intervention model, Hate crimes, Online hate speech, ImmigrantsResumo
Online hate speech has profound implications for society, with migrants as primary targets. Underreporting by victims and bystanders obscures the true extent, indirectly legitimizing these crimes. To assess bystander intervention in online hate speech against immigrants, we developed a scale based on the five steps of the bystander intervention model. In Study 1 (N = 294), exploratory and confirmatory factor analyses confirmed the five-factor structure, having, as the final step, different types of actions that bystanders can adhere to when witnessing online hate speech. Structural equation modelling showed that, overall, each step was predicted by the preceding step, as proposed by the bystander intervention model. Study 2 (N = 240) replicated this finding and assessed the scale's criterion-related validity, revealing negative associations with moral disengagement and victim blaming, and positive associations with self-efficacy. We discuss the scale's relevance and applicability in studying bystander behaviour in response to online hate speech.
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Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314-324. https://doi.org/10.1002/hbe2.195
Albayrak‐Aydemir, N., & Gleibs, I. H. (2021). Measuring global bystander intervention and exploring its antecedents for helping refugees. British Journal of Psychology, 112(2), 519-548. https://doi.org/10.1111/bjop.12474
Álvarez-Benjumea, A. (2023). Uncovering hidden opinions: social norms and the expression of xenophobic attitudes. European Sociological Review, 39(3), 449-463. https://doi.org/10.1093/esr/jcac056
Bandura, A. (1998). Personal and collective efficacy in human adaptation and change. In J. G. Adair, D. Bélanger, & K. L. Dion (Eds.), Advances in psychological science, Vol. 1. Social, personal, and cultural aspects (pp. 51–71). Psychology Press/Erlbaum (UK) Taylor & Francis.
Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (1996). Mechanisms of moral disengagement in the exercise of moral agency. Journal of Personality and Social Psychology, 71(2), 364–374. https://doi.org/10.1037/0022-3514.71.2.364
Banyard, V. L. (2008). Measurement and correlates of prosocial bystander behavior: the case of interpersonal violence. Violence & Victims, 23(1), 83–97. https://doi.org/10.1891/0886-6708.23.1.83
Banyard, V. L., Moynihan, M. M., & Plante, E. G. (2007). Sexual violence prevention through bystander education: An experimental evaluation. Journal of Community Psychology, 35(4), 463-481. https://doi.org/10.1002/jcop.20159
Banyard, V. L., Plante, E. G., & Moynihan, M. M. (2005). Rape prevention through bystander education: Bringing a broader community perspective to sexual violence prevention (Final report to NIJ 208701). US Department of Justice. https://www.ojp.gov/pdffiles1/nij/grants/208701.pdf
Barlińska, J., Szuster, A., & Winiewski, M. (2013). Cyberbullying among adolescent bystanders: Role of the communication medium, form of violence, and empathy. Journal of Community & Applied Social Psychology, 23(1), 37-51. https://doi.org/10.1002/casp.2137
Bastiaensens, S., Vandebosch. H., Poels, K., Van Cleemput, K., DeSmet. A., & De Bourdeaudhuij. I. (2014). Cyberbullying on social network sites. An experimental study into bystanders’ behavioural intentions to help the victim or reinforce the bully. Computers in Human Behavior, 31, 259-271. https://doi.org/1.1016/j.chb.2013.1.036
Bennett, S., Banyard, V. L., & Garnhart, L. (2014). To act or not to act, that is the question? Barriers and facilitators of bystander intervention. Journal of Interpersonal Violence, 29(3), 476-496. https://doi.org/10.1177/0886260513505210
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press.
Clark, M., & Bussey, K. (2020). The role of self-efficacy in defending cyberbullying victims. Computers in Human Behavior, 109, 106340. https://doi.org/10.1016/j.chb.2020.106340
Costello, M., Hawdon, J. E., & Cross, A. (2017). Virtually standing up or standing by? Correlates of enacting social control online. International Journal of Criminology and Sociology, 6, 16-28. http://hdl.handle.net/10919/81716
Dreißigacker, A., Müller, P., Isenhardt, A., & Schemmel, J. (2024). Online hate speech victimization: consequences for victims’ feelings of insecurity. Crime Science, 13(1), 4. https://doi.org/10.1186/s40163-024-00204-y
Ferreira, P. C., Simão, A. V., Paiva, A., & Ferreira, A. (2020). Responsive bystander behaviour in cyberbullying: a path through self-efficacy. Behaviour & Information Technology, 39(5), 511-524. https://doi.org/10.1080/0144929X.2019.1602671
FRA (2017). Second European Union Minorities and Discrimination Survey: Technical Report. https://fra.europa.eu/en/publication/2017/second-european-union-minorities-and-discrimination-survey-technical-report
FRA (2021). Encouraging Hate Crime Reporting - The role of Law Enforcement and Other Authorities. https://fra.europa.eu/en/publication/2021/hate-crime-reporting
Gini, G., Thornberg, R., & Pozzoli, T. (2020). Individual moral disengagement and bystander behavior in bullying: The role of moral distress and collective moral disengagement. Psychology of Violence, 10(1), 38–47. https://doi.org/10.1037/vio0000223
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2013). Multivariate data analysis (7th ed.). Pearson Higher Ed.
Hinkin, T. R., Tracey. J. B., & Enz, C. A. (1997). Scale construction: Developing reliable and valid measurement instruments. Journal of Hospitality & Tourism Research, 21(1), 100-120. https://doi.org/10.1177/109634809702100108
Hu, L.-T. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Jubany, O., & Roiha, M. (2016). Backgrounds, experiences and responses to online hate speech: a comparative cross-country analysis. https://sosracismo.eu/wp-content/uploads/2016/07/Backgrounds-Experiences-and-Responses-to-Online-Hate-Speech.pdf
Kettrey, H. H., & Marx, R. A. (2020). Effects of bystander sexual assault prevention programs on promoting intervention skills and combatting the bystander effect: a systematic review and meta-analysis. Journal of Experimental Criminology, 17, 343-367. https://doi.org/10.1007/s11292-020-09417-y
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford publications.
Koehler, C., & Weber, M. (2018). “Do I really need to help?!” Perceived severity of cyberbullying, victim blaming, and bystanders’ willingness to help the victim. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 12(4). https://doi.org/10.5817/CP2018-4-4
Latané, B., & Darley, J. M. (1969). “Bystander Apathy”. American Scientist, 57(2), 244-268. https://doi.org/10.1037/h0026570
Latané, B., & Darley, J. M. (1970). The unresponsive bystander: Why doesn’t he help?. Appleton-Century Crofts.
Latané, B., & Rodin, J. (1969). A lady in distress: Inhibiting effects of friends and strangers on bystander intervention. Journal of Experimental Social Psychology, 5(2), 189-202.
Machackova, H. (2020). Bystander reactions to cyberbullying and cyberaggression: individual, contextual, and social factors. Current opinion in psychology, 36, 130-134. https://doi.org/10.1016/j.copsyc.2020.06.003
Markey, P. M. (2000). Bystander intervention in computer-mediated communication. Computers in Human Behavior, 16(2), 183-188. https://doi.org/10.1016/S0747-5632(99)00056-4
Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First- and higher-order factor models and their invariance across groups. Psychological Bulletin, 97(3), 562–582. https://doi.org/10.1037/0033-2909.97.3.562
Müller, K., & Schwarz, C. (2018, May). Fanning the flames of hate: Social media and hate crime. (Working Paper No. 373). https://warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/373-2018_schwarz.pdf
Murrell, A. J. (2021). Why someone did not stop them? Aversive racism and the responsibility of bystanders. Equality, Diversity and Inclusion, 40(1), pp. 60-73. https://doi.org/10.1108/EDI-07-2020-0191
Nickerson, A. B., Aloe, A. M., Livingston, J. A., & Feeley, T. H. (2014). Measurement of the bystander intervention model for bullying and sexual harassment. Journal of Adolescence, 37(4), 391–400. https://doi.org/10.1016/j.adolescence.2014.03.003
Obermaier, M., Schmuck, D., & Saleem, M. (2021). I’ll be there for you? Effects of Islamophobic online hate speech and counter speech on Muslim in-group bystanders’ intention to intervene. New Media & Society. https://doi.org/10.1177/14614448211017527
Osborne, J. W. (2014). Best Practices in Exploratory Factor Analysis. CreateSpace Independent Publishing. ISBN-13: 978-1500594343, ISBN-10:1500594342.
Palmer, S. B., Cameron, L., Rutland. A., & Blake, B. (2017). Majority and minority ethnic status adolescents' bystander responses to racism in school. Journal of Community & Applied Social Psychology, 27(5), 374-380. https://doi.org/10.1002/casp.2313
Papcunová, J., Martončik, M., Fedáková, D., Kentoš, M., Bozogáňová, M., Srba, I., ... & Adamkovič, M. (2021). Hate speech operationalization: a preliminary examination of hate speech indicators and their structure. Complex & Intelligent Systems, 1-16. https://doi.org/10.1007/s40747-021-00561-0
Pinto, I. R., Carvalho, C. L., Dias, C., Lopes, P., Alves, S., de Carvalho, C., & Marques, J. M. (2020). A path toward inclusive social cohesion: The role of European and national identity on contesting vs. Accepting European migration policies in Portugal. Frontiers in Psychology, 11, Article 1875. https://doi.org/10.3389/fpsyg.2020.01875
Pinto, I. R., Carvalho, C. L., Magalhães, M., Alves, S., Bernardo, M., Lopes, P., Carvalho, C. (2023). Understanding the rise in online hate speech in Portugal and Spain: a gap between occurrence and reporting (Issue Brief). “la Caixa” Foundation. https://oobservatoriosocial.fundacaolacaixa.pt/en/-/compreender-o-crescimento-do-discurso-de-odio-online-em-portugal-e-espanha-um-hiato-entre-a-ocorrencia-e-a-denuncia
Rudnicki, K., Vandebosch, H., Voué, P., & Poels, K. (2022). Systematic review of determinants and consequences of bystander interventions in online hate and cyberbullying among adults. Behaviour & Information Technology, 1-18. https://doi.org/10.1080/0144929X.2022.2027013
SELMA (2019). Hacking Online Hate: Building an Evidence Base for Educators. https://hackinghate.eu/assets/documents/hacking-online-hate-research-report-1.pdf
Siapera, E., Moreo, E., & Zhou, J. (2018). Hate Track: Tracking and Monitoring Online Racist Speech (Technical Report of HateTrack Project). https://www.ihrec.ie/documents/hatetrack-tracking-and-monitoring-racist-hate-speech-online/
Sjögren, B., Thornberg, R., Wänström, L., & Gini, G. (2021). Associations between students’ bystander behavior and individual and classroom collective moral disengagement. Educational Psychology, 41(3), 264-281. https://doi.org/10.1080/01443410.2020.1828832
Stewart, K., Pedersen, A., & Paradies, Y. (2014). It's always good to help when possible, BUT...: Obstacles to bystander anti-prejudice. The International Journal of Diversity in Education, 13(3). 39-53. https://doi.org/10.18848/2327-0020/CGP/v13i03/40045
Suler, J. (2004). The Online Disinhibition Effect. CyberPsychology & Behavior, 7(3), 321–326. https://doi.org/10.1089/1094931041291295
Thornberg, R., Wänström, L., Elmelid, R., Johansson, A., & Mellander, E. (2020). Standing up for the victim or supporting the bully? Bystander responses and their associations with moral disengagement, defender self-efficacy, and collective efficacy. Social Psychology of Education, 23(3), 563-581. https://doi.org/10.1007/s11218-020-09549-z
UK Safer Internet Centre (2016). Creating a better internet for all: Young people’s experiences of online empowerment + online hate. https://childnetsic.s3.amazonaws.com/ufiles/SID2016/Creating%20a%20Better%20Internet%20for%20All.pdf
United Nations (UN, 2019). United Nations Strategy and Plan of Action on Hate Speech. https://www.un.org/en/genocideprevention/documents/advising-and-mobilizing/Action_plan_on_hate_speech_EN.pdf
Vega Macías, D. (2021). The COVID-19 pandemic on anti-immigration and xenophobic discourse in Europe and the United States. Estudios Fronterizos, 22. https://doi.org/10.21670/ref.2103066
Waldron, J. (2012). The harm in hate speech. Harvard University Press. https://doi.org/10.4159/harvard.9780674065086
Walters, M. A., Brown, R., & Wiedlitzka, S. (July 2016). Causes and Motivations of Hate Crime (Research Report 102). Equality and Human Rights Commission Research Report 102 (2016); ISBN 978-1-84206-678-2, Available at SSRN: https://ssrn.com/abstract=2918883
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 209–231). The Guilford Press.
Whittaker, T. A. & Schumacker, R. E. (2022). A beginner’s guide to structural equation modeling (5th ed.). Routledge.
Whittaker, T. A. (2012). Using the modification index and standardized expected parameter change for model modification. The Journal of Experimental Education, 80(1), 26-44. https://doi.org/10.1080/00220973.2010.531299
Yong, A. G., & Pearce, S. (2013). A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutorials in Quantitative Methods for Psychology, 9(2), 79-94. https://doi.org/10.20982/tqmp.09.2.p079
You, L. & Lee, Y.H. (2019). The bystander effect in cyberbullying on social network sites: Anonymity, group size, and intervention intentions. Telematics and Informatics, 45. https://doi.org/10.1016/j.tele.2019.101284
Zapata, J., Sulik, J., von Wulffen, C., & Deroy, O. (2024). Bystanders’ collective responses set the norm against hate speech. Humanities and Social Sciences Communications, 11(1), 1-13. https://doi.org/10.1057/s41599-024-02761-8