Abstract
Adolescents are avid users of social media, offering them both opportunities and threats. One of the threats is cyberbullying or bullying via information and communication technologies, which can be defined as aggressive acts that are performed intentionally and repeatedly over time towards a victim who cannot easily defend themselves (Olweus, 1993; Smith et al., 2008). Cyberbullying can have a substantial impact on the well-being of its victims and bystanders (Kwan et al., 2020). Bystanders can play a crucial role in encouraging or discouraging cyberbullying, for instance by reporting hurtful incidents or showing their disagreement, but often remain passive (Karasavva & Mikami, 2024). Research has indicated reasons why adolescents remain passive when witnessing cyberbullying, including finding it difficult to assess whether something is just a joke or has the intention to really hurt somebody and not knowing how to react (Van Cleemput et al., 2014). Studies on effective interventions stimulating positive online bystander behavior, for instance, by reporting or providing constructive counterspeech, are much needed. The present study wants to contribute to the growing body of research on cyberbullying interventions directed towards bystanders by developing and testing an intervention presented as an interactive narrative. This format has been shown to be an effective intervention strategy (Scholl et al., 2022; Zhou et al., 2020). Therefore, this study sets out to develop and test an interactive narrative intervention to teach and promote positive bystander behavior in the context of cyberbullying. We have developed a role-playing interactive narrative allowing players to adopt the bystander perspective and practice various ways in which they can respond to cyberbullying (e.g., comforting, reporting, non-aggressively confronting the bully). This approach is tested in a cluster-randomized controlled trial in Dutch secondary schools (first and second grade). To test the effectiveness of the interactive narrative, 2 extra intervention conditions were developed: a non-interactive version of the interactive narrative and an expository text with the same information but without the narrative. These three conditions were randomly distributed over different school classes. In each class, the pupils got the same intervention condition. Within the classroom, each pupil participated in the study individually. The DVs in this study were persuasive effects (beliefs, attitudes and intentions regarding cyberbullying and positive bystander behavior) (Moyer‐Gusé & Dale, 2017) and perceived self-efficacy (feeling confident about executing positive bystander behavior) (Sargioti et al., 2023). Other measured variables were outcome expectancies and perceived similarity with the main character (Social Cognitive Theory; Bandura, 1977, 2004), subjective norm (Theory of Planned Behavior: Ajzen, 1991; Pabian & Vandebosch, 2014), narrative experience (identification with and empathy for the main character and transportation to the storyworld; Appel et al., 2015; de Graaf et al., 2012; Fabi et al., 2019; Huang & Fung, 2024), perceived realism of the narrative (Cho et al., 2014), trait empathy (Davis, 1983; Ingoglia et al., 2016) and previous experience with cyberbullying (Pabian et al., 2016). The measurements were done right before the intervention (T0), right after the intervention (T1) and 5-7 weeks after the intervention (T2). In total, approximately 1000 pupils participated in the study divided over 78 classes and 8 schools at nearly all school levels (vmbo kader to vwo). With the T2 data collection still running at the moment, we do not have the final results yet but these will be available at the conference. Preliminary analyses do indicate that the interactive narrative condition outperforms the traditional narrative and the expository text regarding persuasive effects (beliefs and intentions) and self-efficacy. The full results will be presented at the conference. This intervention study will help in optimizing cyberbullying interventions, stimulating positive bystander behavior and ultimately bringing victimization rates down.
References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Appel, M., Gnambs, T., Richter, T., & Green, M. C. (2015). The Transportation Scale–Short Form (TS–SF). Media Psychology, 18(2), 243–266. https://doi.org/10.1080/15213269.2014.987400
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
Bandura, A. (2004). Health Promotion by Social Cognitive Means. Health Education & Behavior, 31(2), 143–164. https://doi.org/10.1177/1090198104263660
Cho, H., Shen, L., & Wilson, K. (2014). Perceived Realism: Dimensions and Roles in Narrative Persuasion. Communication Research, 41(6), 828–851. https://doi.org/10.1177/0093650212450585
Davis, M. H. (1983). Measuring individual differences in empathy: Evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44(1), 113–126. https://doi.org/10.1037/0022-3514.44.1.113
de Graaf, A., Hoeken, H., Sanders, J., & Beentjes, J. W. J. (2012). Identification as a Mechanism of Narrative Persuasion. Communication Research, 39(6), 802–823. https://doi.org/10.1177/0093650211408594
Fabi, S., Weber, L. A., & Leuthold, H. (2019). Empathic concern and personal distress depend on situational but not dispositional factors. PLOS ONE, 14(11), e0225102. https://doi.org/10.1371/journal.pone.0225102
Huang, K. Y., & Fung, H. H. (2024). Measuring identification with narrative characters: The development and validation of a new scale. Current Psychology. https://doi.org/10.1007/s12144-024-06191-2
Ingoglia, S., Lo Coco, A., & Albiero, P. (2016). Development of a Brief Form of the Interpersonal Reactivity Index (B–IRI). Journal of Personality Assessment, 98(5), 461–471. https://doi.org/10.1080/00223891.2016.1149858
Karasavva, V., & Mikami, A. (2024). I’ll be there for you? The bystander intervention model and cyber aggression. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 18(2), Article 1. https://doi.org/10.5817/CP2024-2-1
Kwan, I., Dickson, K., Richardson, M., MacDowall, W., Burchett, H., Stansfield, C., Brunton, G., Sutcliffe, K., & Thomas, J. (2020). Cyberbullying and Children and Young People’s Mental Health: A Systematic Map of Systematic Reviews. Cyberpsychology, Behavior, and Social Networking, 23(2), 72–82. https://doi.org/10.1089/cyber.2019.0370
Moyer‐Gusé, E., & Dale, K. (2017). Narrative Persuasion Theories. In P. Rössler, C. A. Hoffner, & L. Zoonen (Eds.), The International Encyclopedia of Media Effects (1st ed., pp. 1–11). Wiley. https://doi.org/10.1002/9781118783764.wbieme0082
Olweus, D. (1993). Bullying at School: What we know and what we can do. Blackwell.
Pabian, S., & Vandebosch, H. (2014). Using the theory of planned behaviour to understand cyberbullying: The importance of beliefs for developing interventions. European Journal of Developmental Psychology, 11(4), 463–477. https://doi.org/10.1080/17405629.2013.858626
Pabian, S., Vandebosch, H., Poels, K., Van Cleemput, K., & Bastiaensens, S. (2016). Exposure to cyberbullying as a bystander: An investigation of desensitization effects among early adolescents. Computers in Human Behavior, 62, 480–487. https://doi.org/10.1016/j.chb.2016.04.022
Sargioti, A., Kuldas, S., Foody, M., Viejo Otero, P., Kinahan, A., Canning, C., Heaney, D., & O’Higgins Norman, J. (2023). Dublin Anti-Bullying Self-Efficacy Models and Scales: Development and Validation. Journal of Interpersonal Violence, 38(7–8), 5748–5773. https://doi.org/10.1177/08862605221127193
Scholl, J., Pandrea, M., & van Enschot, R. (2022). How to help your depressed friend? The effects of interactive health narratives on cognitive and transformative learning. Frontiers in Communication, 7, 966944. https://doi.org/10.3389/fcomm.2022.966944
Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippet, N. (2008). Cyberbullying: Its nature and impact in secondary school pupils. Journal of Child Psychology and Psychiatry, 49(4), 376–385.
Van Cleemput, K., Vandebosch, H., & Pabian, S. (2014). Personal characteristics and contextual factors that determine "helping," "joining in," and "doing nothing" when witnessing cyberbullying. Aggressive behavior, 40(5), 383–396. https://doi.org/10.1002/ab.21534
Zhou, C., Occa, A., Kim, S., & Morgan, S. (2020). A Meta-analysis of Narrative Game-based Interventions for Promoting Healthy Behaviors. Journal of Health Communication, 25(1), 54–65. https://doi.org/10.1080/10810730.2019.1701586
References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Appel, M., Gnambs, T., Richter, T., & Green, M. C. (2015). The Transportation Scale–Short Form (TS–SF). Media Psychology, 18(2), 243–266. https://doi.org/10.1080/15213269.2014.987400
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
Bandura, A. (2004). Health Promotion by Social Cognitive Means. Health Education & Behavior, 31(2), 143–164. https://doi.org/10.1177/1090198104263660
Cho, H., Shen, L., & Wilson, K. (2014). Perceived Realism: Dimensions and Roles in Narrative Persuasion. Communication Research, 41(6), 828–851. https://doi.org/10.1177/0093650212450585
Davis, M. H. (1983). Measuring individual differences in empathy: Evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44(1), 113–126. https://doi.org/10.1037/0022-3514.44.1.113
de Graaf, A., Hoeken, H., Sanders, J., & Beentjes, J. W. J. (2012). Identification as a Mechanism of Narrative Persuasion. Communication Research, 39(6), 802–823. https://doi.org/10.1177/0093650211408594
Fabi, S., Weber, L. A., & Leuthold, H. (2019). Empathic concern and personal distress depend on situational but not dispositional factors. PLOS ONE, 14(11), e0225102. https://doi.org/10.1371/journal.pone.0225102
Huang, K. Y., & Fung, H. H. (2024). Measuring identification with narrative characters: The development and validation of a new scale. Current Psychology. https://doi.org/10.1007/s12144-024-06191-2
Ingoglia, S., Lo Coco, A., & Albiero, P. (2016). Development of a Brief Form of the Interpersonal Reactivity Index (B–IRI). Journal of Personality Assessment, 98(5), 461–471. https://doi.org/10.1080/00223891.2016.1149858
Karasavva, V., & Mikami, A. (2024). I’ll be there for you? The bystander intervention model and cyber aggression. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 18(2), Article 1. https://doi.org/10.5817/CP2024-2-1
Kwan, I., Dickson, K., Richardson, M., MacDowall, W., Burchett, H., Stansfield, C., Brunton, G., Sutcliffe, K., & Thomas, J. (2020). Cyberbullying and Children and Young People’s Mental Health: A Systematic Map of Systematic Reviews. Cyberpsychology, Behavior, and Social Networking, 23(2), 72–82. https://doi.org/10.1089/cyber.2019.0370
Moyer‐Gusé, E., & Dale, K. (2017). Narrative Persuasion Theories. In P. Rössler, C. A. Hoffner, & L. Zoonen (Eds.), The International Encyclopedia of Media Effects (1st ed., pp. 1–11). Wiley. https://doi.org/10.1002/9781118783764.wbieme0082
Olweus, D. (1993). Bullying at School: What we know and what we can do. Blackwell.
Pabian, S., & Vandebosch, H. (2014). Using the theory of planned behaviour to understand cyberbullying: The importance of beliefs for developing interventions. European Journal of Developmental Psychology, 11(4), 463–477. https://doi.org/10.1080/17405629.2013.858626
Pabian, S., Vandebosch, H., Poels, K., Van Cleemput, K., & Bastiaensens, S. (2016). Exposure to cyberbullying as a bystander: An investigation of desensitization effects among early adolescents. Computers in Human Behavior, 62, 480–487. https://doi.org/10.1016/j.chb.2016.04.022
Sargioti, A., Kuldas, S., Foody, M., Viejo Otero, P., Kinahan, A., Canning, C., Heaney, D., & O’Higgins Norman, J. (2023). Dublin Anti-Bullying Self-Efficacy Models and Scales: Development and Validation. Journal of Interpersonal Violence, 38(7–8), 5748–5773. https://doi.org/10.1177/08862605221127193
Scholl, J., Pandrea, M., & van Enschot, R. (2022). How to help your depressed friend? The effects of interactive health narratives on cognitive and transformative learning. Frontiers in Communication, 7, 966944. https://doi.org/10.3389/fcomm.2022.966944
Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippet, N. (2008). Cyberbullying: Its nature and impact in secondary school pupils. Journal of Child Psychology and Psychiatry, 49(4), 376–385.
Van Cleemput, K., Vandebosch, H., & Pabian, S. (2014). Personal characteristics and contextual factors that determine "helping," "joining in," and "doing nothing" when witnessing cyberbullying. Aggressive behavior, 40(5), 383–396. https://doi.org/10.1002/ab.21534
Zhou, C., Occa, A., Kim, S., & Morgan, S. (2020). A Meta-analysis of Narrative Game-based Interventions for Promoting Healthy Behaviors. Journal of Health Communication, 25(1), 54–65. https://doi.org/10.1080/10810730.2019.1701586
| Original language | English |
|---|---|
| Publication status | Published - 4 Feb 2025 |
| Event | Etmaal van de Communicatiewetenschap 2025 - Brugge, Belgium Duration: 3 Feb 2025 → 4 Feb 2025 https://etmaal2025.org/pre-conferences/ |
Conference
| Conference | Etmaal van de Communicatiewetenschap 2025 |
|---|---|
| Abbreviated title | Etmaal |
| Country/Territory | Belgium |
| Period | 3/02/25 → 4/02/25 |
| Internet address |
Keywords
- interactive narratives
- intervention
- cyberbullying
- education
- self-efficacy
- persuasion