Bully and Cyberbullying: Challenges and Opportunities in Research Peter K Smith Goldsmiths College, University of London, England [email protected] Cordoba, February 2011 Copyright, 1996 © Dale Carnegie & Associates, Inc. Plan of talk What is bullying and cyberbullying? 4 waves of bullying research programme Some research findings so far in cyberbullying Interventions/guidance Definitional and historical challenges Some opportunities for the future DEFINITION: What do we mean by ‘bullying’? Aggression as intent to cause harm A widely accepted definition is that ‘bullying’ refers to repeated aggressive acts against someone who cannot easily defend themselves (Olweus, 1999) A ‘systematic abuse of power’ (Smith & Sharp 1994) Can take various forms: physical, verbal, relational, indirect; and now, cyber. What is cyberbullying? Victimisation using electronic forms ‘The use of ICT to support deliberate, repeated and hostile behavior by an individual or group that is intended to harm others’ (Belsey, 2004) ‘An aggressive, intentional act carried out by a group or individual, using electronic forms of contact, repeatedly and over time against a victim who cannot easily defend him or herself’ (Smith et al., 2008) Four waves of studies in ‘bullying’ research program: (1) 1970s-1988 Origins in school-based bullying: Olweus‘Forskning om skolmobbning’ (1973), translated (1978) as ‘Aggression in Schools: Bullies and Whipping Boys’. Develops self-report questionnaire; school-based intervention program 1983-1985. Definition of bullying in terms of physical and verbal behaviours. Japan – studies on ijime in 1980s. Four waves of studies in ‘bullying’ research program: (2) 1989-mid 1990s Establishing a research program Surveys in other countries beyond Scandinavia; meetings between western and Japanese researchers Peer nominations methodology developed Interventions in other countries – England, Canada, Belgium Inclusion of ‘indirect’ aggression/bullying – Olweus definition expanded Bullying in other contexts e.g. workplace, prisons Four waves of studies in ‘bullying’ research program: (3) mid 1990s - 2004 Now an established international research program. Participant roles developed by Salmivalli Surveys, interventions in many countries, e.g. Smith, Morita,Junger-Tas, Olweus, Catalano & Slee (1999) (eds.), The Nature of School Bullying: A CrossNational Perspective.[21 country reports] Rigby (2002) New Perspectives on Bullying. Espelage & Swearer (eds) (2004) Bullying in American Schools. McGrath & Noble (eds) (2006) Bullying solutions: Evidence-based approaches to bullying in Australian schools. The area becomes a significant contributor to international conferences. Increase over time in studies on bullying – from Farrington & Ttofi (2008) ACHIEVEMENTS of the traditional school bullying program Basic data on incidence, age, gender, where happens, who told, coping strategies Developing participant roles Recognising possible adaptive nature of much bullying (for individual; bullying and theory of mind) Collaboration with school personnel, government departments Interventions have some success, up to around 50% reduction in victimisation rates. LIMITATIONS of the traditional school bullying program (1) Disciplinarity narrowness - mainly by developmental/educational psychologists so focus on individuals (even ‘participant roles’ taken as individual characteristics, until recently) relatively little on school and class level factors little on how group affects individual Generally very quantitative, questionnaire based – few qualitative studies LIMITATIONS of the traditional school bullying program (2) School bullying research programme relatively isolated developmentally and contextually Developmentally – little links to bullying in adults Contextually – little linkage from school to community, or home (‘abuse’) Relatively little use of theory Olweus – opportunity costs and benefits Dodge, Crick – social skills deficits [largely disproved for bullies] Schuster – scapegoat theory for victims - disproved Pellegrini; Salmivalli and others – bullying as a strategy to gain peer group status. Four waves of studies in ‘bullying’ research program: (4) 2004 Cyberbullying: while origins may be before 2000, most press reports and awareness of the issue date from this century, starting with text message bullying [but now, many forms]. Text message bullying: Wendy sends nasty text messages to Linda every break time Development of cyberbullying research ‘Academic’ publications mainly from last 5 years. Willard, N.E. (2006). Cyberbullying and cyberthreats. Eugene, Oregon: Center for Safe and Responsible Internet Use. Special issue of J Adolescent Health, Dec 2007 Shariff, S. (2008). Cyber-bullying: Issues and solutions for the school, the classroom and the home. New York: Routledge. Kowalski, R.M., Limber, S.P., & Agatston, P.W. (2008). Cyber Bullying: Bullying in the digital age. Malden, MA : Blackwell. Hinduja, S. & Patchin, J. (2008). Bullying beyond the schoolyard: Preventing and responding to cyberbullying. Thousand Oaks, CA: Corwin Press. Special issue of J of Psychology, Nov 2009 Mora-Merchan, J. & Jäger, T.(eds) (in press, 2010). Cyberbullying: A cross-national comparison. Landau: Verlag Emprische Padagogik. Li, Q., Cross, D. & Smith, P.K. (in press, 2011). Bullying goes to the global village: Research on cyberbullying from an international perspective. Wiley-Blackwell. Special issue of European J Developmental Psychology, in progress. Cyberbullying: differences from traditional bullying It depends on some degree of technological expertise There are rapid historical changes in the nature of cyberbullying due to technological change It is primarily indirect rather than ‘face-to-face’ The perpetrator has some anonymity (e.g. through using online pseudonyms) The variety of bystander roles in cyberbullying is more complex than in most traditional bullying It is difficult to escape from cyberbullying – there is ‘no place to hide’. The victim may be sent messages to their mobile or computer, or access nasty website comments, wherever they are. Cyberbullying can reach particularly large audiences compared with the normally small groups that traditional bullying reaches; for example mobile phone networks, or nasty comments posted on a website. Cyberbullying: Some research findings so far Prevalence; age, gender; roles; impact/ emotions/adjustment, self-esteem. Age data from 1464 representative sample of internet users in Czech Republic (Ševčíková & Šmahel, 2009) (percentages) AGE years 12-15 Not Involved Only Target Only Aggressor Target + Aggressor 82.1 7.6 1.8 8.5 16-19 78.7 14.1 1.2 6.0 20-26 81.3 14.1 0.9 3.7 27-35 89.3 6.8 1.0 2.9 36-49 88.9 5.5 0 5.5 50-88 85.0 12.9 0 2.1 NORWAY [Olweus] % GIRLS BEING BULLIED ELECTRONICALLY vs GLOBALLY, 2-3 TIMES/MONTH (n= 2000) 12 9 6 3 0 Electr. Global 4 5 6 7 8 9 10 1.6 8.8 2.1 9.7 1.5 8.4 1.4 5.9 3.4 5.6 3 5.4 1 0.5 GIRLS: Average electronically = 2,0% Average globally = 6,8% OLWEUS GROUP AGAINST BULLYING NORWAY [Olweus] % BOYS BEING BULLIED ELECTRONICALLY vs GLOBALLY, 2-3 TIMES/MONTH (n= 2000) 20 15 10 5 0 Electr. Global 4 5 6 7 8 9 10 6 14.5 2.9 14.4 1.4 8.1 2.9 10.5 3.7 8.9 6.5 12.8 1.5 5.5 OLWEUS GROUP AGAINST BULLYING BOYS: Average electronically: 3,6% Average globally: 11,0 % Gender differences: Inconsistent findings from different studies. Generally Cyber-bullies: boys more, or no difference, or girls more. Cyber-victims: girls more, or no difference, or boys more. These inconsistencies may reflect variations by type of cyberbullying [e.g. Kapatzia & Syngollitou, 2007, in Greece, more boys involved in mobile phone bullying, but more girls involved in internet bullying] rapid changes in patterns of technology use and abuse. As in traditional indirect bullying, girls may be relatively more interested in cyber than face-to-face bullying (reputation damage rather than strength); girls may be more confident in computer use, interested in social networking (e.g. in U.K., Computers for Schools survey, 2008; National Family Week survey, 2010 – technology a big influence in life for 41% girls, 17% boys). Bystander roles in cyberbullying: England (mobile) Number of participants who ‘had seen’ bullying by mobile and ticked any of three participant roles in three situations (with victim; with bully; alone). 500 250 400 200 300 150 200 100 100 50 0 defender outsider reinforcer 0 defender mobile with victim Numbers of pupils defender outsider reinforcer Mobile with victim 421 222 87 Mobile with bully 213 212 82 Mobile alone 195 262 89 250 200 150 100 50 0 outsider mobile alone reinforcer mobile with bully 300 defender outsider reinforcer Bystander roles in cyberbullying: England (Internet) Number of participants who ‘had seen’ bullying on the internet and ticked any of three participant roles in three situations (with victim; with bully; alone). 400 150 300 100 200 50 100 0 defender outsider reinforcer 0 defender internet with victim 150 100 50 0 outsider internet alone reinforcer internet with bully 200 defender outsider reinforcer Numbers of pupils Defender Outsider Reinforcer Internet with victim 343 154 65 Internet with bully 146 128 65 Internet alone 158 175 62 Incidence of being a cybervictim is greater out of school than in school (Smith et al, 2008: UK pupils aged 11-16 years) Have you ever been: IN OUT BOTH Bullied (not cyber) 37% 5% 12% Cyberbullied 3% 11% 3% Perceived impact of cyberbullying (cf. traditional bullying): Smith et al. 2008 Phone call Text Email Message IMP -0.43 -0.20 0.02 ACT Picture/ Instant Messaging video clip Chatroom Website +0.53 -0.07 -0.02 -0.09 More, same or less harmful than traditional bullying? Typical comments for Picture/video clip bullying More Same Less ‘Because it can be sent around to people you don’t know and they will insult you because of it’ ‘Because it is more humiliating, the videos are shown to others’ ‘Because loads of people see it’ ‘Because the person is still being bullied and still feeling sad’ ‘They have not physically hit you’ ‘Because I believe physical bullying hurts the most’ More, same or less harmful than traditional bullying? Typical comments for Chatroom bullying More ‘You can never be sure who it really is’ ‘You could accidentally give private details’ Same ‘They are still being mean and saying horrible things’ Less ‘‘Because you can just not go in the chatroom anymore’ ‘Because it can only be threats’ ‘Because they don’t know where you live or your contact number’ Emotional impact: Ortega et al., 2009 [clusters; gender differences – girls more A, boys more B] Direct bullying Indirect bullying Mobile bullying Internet bullying Adjustment: Gradinger, Strohmeier & Spiel, 2009. DEP=depression, SOM=somatic NOT INV Trad Cyber Tr+Cy Trad V only V only V BV Tr+Cy BV DEP 0.28 0.45 0.51 0.80 0.46 1.10 SOM 0.42 0.63 0.59 0.71 0.66 0.86 Self esteem: victims (DAPHNE project) 3.6 Non involved 3.4 3.2 Mobile victim 3 2.8 Internet vicitm 2.6 Mobile and internet victim 2.4 2.2 Global Sport School Body Peers Family Victims of only internet bullying scored significantly lower on all measures of self esteem, compared to those who had not been cyberbullied. Children who had experienced both mobile and internet bullying also scored significantly lower on global, school, body and peer measures of self esteem Self esteem: bullies (DAPHNE project) 3.6 3.4 3.2 3 2.8 2.6 2.4 2.2 Non involved Mobile bully Internet bully Mobile and internet bully Global Sport School Body Peers Family Children who bullied others either using just the internet, or using mobiles and the internet scored significantly lower on school and family measures of self esteem than those who had not taken part in cyberbullying. Guidance and Intervention Generally, include cyberbullying explicitly in School policies Anti-bullying materials Teacher training materials for anti-bullying work Guidance for parents Guidance for children and young people Campbell Systematic Review: Mishna et al., 2009. Interventions for children, youth, and parents to prevent and reduce cyber abuse. (3 articles) I-SAFE: 5 lessons/activities, grades 5-8 (U.S.). → increase in internet safety knowledge, no change in behavior Missing: interactive computer game to develop guidelines, grades 6-7 (Canada). → little effect on attitudes or behavior HAHASO: five classes on Help, Assert Yourself, Humor, Avoid, Self-talk, Own-it, grades 5-6 (U.S.). → no change in behavior. Resources, e.g. U.K. In England, Department for Education: suite of antibullying materials,including cyberbullying, at: www.teachernet.gov.uk/ Other resources, e.g. BeatBullying (2009) www.digitalparents.org/cyberbullying/ Easily accessible materials for children and parents Short educational videos for discussion. www.cybermentors.org.uk CYBERMENTORS: Training for young people to help peers bullied on the internet. Resources: Europe CyberTraining – A Research-based European Training Manual On Cyberbullying: http://www.cybertraining-project.org EU-funded project 2008-2010, providing a training manual on cyberbullying for trainers dealing with different target groups such as pupils, parents, teachers or whole schools. Will be available online in form of a user-friendly eBook in English, German, Spanish, French and Portuguese versions. Contact: Thomas Jäger, [email protected] European Research Network: COST Action IS0801: Cyberbullying: coping with negative and enhancing positive uses of new technologies, in relationships in educational settings Objectives To share expertise on cyberbullying in educational settings, coping with negative and enhancing positive uses of new technologies in the relationships area, moving towards a common set of guidelines applicable in Europe. The Action lasts 4 years, October 2008 to October 2012. So far 27 European countries plus Ukraine, Australia http://sites.google.com/site/costis0801/ European Research: EU Kids Online EU Kids Online (2006-9) Funded by the European Commission’s Safer Internet Programme, aimed to identify, compare and draw conclusions from existing and ongoing research on children and online technologies conducted in Europe. Policy recommendations – maximising opportunities, minimising risks; Research recommendations. EU Kids Online II (2009-2011): Enhancing knowledge regarding European children’s use, risk and safety online. Aims to produce a rigorous, cross-nationally comparative quantitative evidence base regarding internet use across Europe; research teams in over 20 participating countries. www.eukidsonline.net. Challenges and opportunities in cyberbullying research DEFINITIONAL CHALLENGE: e.g. Vandebosch & van Cleemput (2008); Dooley, Pyzalski & Cross (2009): do traditional bullying criteria of repetition, and power imbalance, apply to cyberbullying? [repetition may not be by the perpetrator] [power imbalance is not physical] Do children/young people use or recognise the term ‘cyberbullying’? Are we really studying ‘cyber-aggression’, or ‘cyberabuse’? Challenge of greater importance of historical factors Historical factors not unimportant in traditional bullying, e.g. changes in definition, but usually assess in decades. Much more important and rapid in cyberbullying Changes in technologies, and in popularity of technologies (e.g. texts → instant messaging → social networking sites). Two examples of impact of historical change on research: (1) Noret & Rivers (2006) provide the best longitudinal data on cyberbullying in England (over 11,000 pupils from 2002 to 2005), but used the question: ‘How often have you received any nasty or threatening text messages or emails?’ – these are now only a fraction of all cyberbullying. (2) DAPHNE project (2007-2009) distinguished ‘mobile’ and ‘internet’ forms of cyberbullying – but now smart phones having access to the internet have confused this distinction. Opportunities (1): disciplines Wide disciplinary base (not just psychology, but sociology, technology, legal studies ….) Take account of social/group context, bystanders – more complex in cyberbullying? Developments in technology, fashions (e.g. happy slapping, Saunders 2005). Legal aspects – more prominent and less understood than in traditional bullying. Opportunities (2): methods Combine quantitative and qualitative studies – especially relevant in a new area: e.g. Spears et al. (2009): (Australia) - narratives of cyberbullying from students, teachers and school counselors. Parsonson (2009): (New Zealand) – mixed methods, retrospective study with first year undergraduate students. Use existing material e.g. on the internet. Opportunities (3) Young people as researchers e.g. Treseder (1997), Jennifer & Cowie (2009) Traditionally children/young people give their opinions via questionnaires, interviews, focus groups. But they could be involved further, e.g.: - Give advice on design of an adult-designed project Help gather data in a project Be involved in the planning and implementation of a project Design a project, adults just advise. Such approaches may be especially useful for cyberbullying, where young people are the ‘digital natives’. Opportunities (4): context Broaden context Settings – most cyberbullying by children is not in school but in many other outside settings. Cyberbullying can occur in virtual worlds (e.g. Coyne et al., 2009) Developmentally – cyberbullying may have more age permeability than traditional bullying. Developmental changes less confounded by setting changes? Opportunities (5): theories of technology use Technology use – e.g. Technology Acceptance Model (Davis, 1986; building on Fishbein & Ajzen’s Theory of Reasoned Action, 1975) examines ease of use, and usefulness, as predictors of use of a new technology. Extended (Sun & Zhang, 2006) to include subjective norms (views of what others think). Their integrated model includes 10 moderating factors grouped into organisational, technologyrelated, and individual. Opportunities (6): explaining cultural differences Present in cyberbullying – e.g. low in Korea & Japan cf. Australia, Canada (Taki/NEXT study); low in Finland cf. Spain, Italy, England (DAPHNE study) Availability and use of new technologies Educational systems Local and national policies Hofstede categories: individualism-collectivism; power distance; masculinity-femininity. Summary Cyberbullying has built on a previous research tradition in bullying. A considerable amount of basic research, mostly in last 5 years. Some guidance and interventions, as yet poorly assessed. Some challenges: definition; rapid historical change. Some opportunities: disciplinary mix, new/mixed methods and possible use of young people as researchers, broader context – not just school, broader developmental perspective – not just school age, examine motives in cyberbullying, use technology acceptance model, examine cultural differences.
© Copyright 2024