Why most of us have been cyberbullies
Nine in 10 adults who use social media have committed cyberbullying, new RMIT University research shows.
Educated and married people, irrespective of their gender, are most likely to commit cyberbullying more frequently, according to the research, but demographics are not the only factors at play. The study found other characteristics such as being outgoing or deceptive ultimately contributed to a person's likelihood of becoming a cyberbully.
The study showed 94% of respondents admitted to participating in some form of cyberbullying in their lifetime. Among the respondents, more than half said they often commit cyberbullying while only 6% said they had never committed cyberbullying.
The researchers found cyberbullies are more complex than previously thought and should not be confined to one or two characteristics. They say this is the first study to examine cyberbullying across multiple characteristic groups.
The researchers studied people aged over 18 from India and the United States to capture the social media behaviours of people from different cultures. Lead researcher Dr Mohammad Hossain said the study indicated that people’s online behaviour from the two countries were similar, suggesting the results were relevant to other countries.
“The research focused on two social media platforms, Facebook and YouTube, and found the distribution of those committing cyberbullying was consistent between the US and Indian sample, and between Facebook and YouTube users,” said Dr Hossain.
The research painted a complex picture of why some people engage in cyberbullying regularly and some do so very little or not at all. It reveals perpetrators of cyberbullying demonstrate a combination of characteristics, personalities and lifestyle choices that fit into three categories:
1. The Big5 is used widely by psychologists and breaks down an individual's personality into five factors – openness, conscientiousness, extraversion, agreeableness and neuroticism.
2. The Dark4 focuses on negative personality traits, malicious in nature – psychopathy, narcissism, Machiavellianism (cunning or scheming) and sadism.
3. Demography – age, education, location, gender, and social media use experience.
Dr Hossain said previous studies on the characteristics of a cyberbully were inconsistent as they focused on a confined group of personality traits, rather than a combination from the three groups.
"You can't explain someone’s behaviour with one or two characteristics. They possess a unique combination of characteristics that do not work in isolation,” he said.
Dr Hossain said while traits from the three characteristic groups work in combination to make a cyberbully, the research found men were more likely to cyberbully more often than women.
“We found less agreeable educated married males with high psychopathy and sadism are most susceptible to committing cyberbullying. Alternatively, a less-educated introvert female with high emotional stability and low psychopathy is less-likely to engage in cyberbullying,” Dr Hossain said. “But you can’t just boil it down to being an outgoing married man. The perpetrators also possess at least one trait from the Dark4 in combination with these.”
Dr Hossain said a combination of personality and demographic factors should be considered in designing actionable and proactive policy making to address the challenge of cyberbullying.
“Hopefully our findings can contribute to introducing or reforming legislation, which often targets ‘the usual suspects’ to control cyberbullying,” he said. “They provide practical guidance for creating preventive measures and behavioural programs tailored to the online world.”
Dr Hossain said while designing programs to reduce cyberbullying, more attention needs to be given to the users with certain combinations of characteristics.
“The combination of personality and demography should be considered in designing actionable and proactive policy making to address cyberbullying. Social media administrators could use self-evaluation questions or gamification techniques to acquire information on characteristics from the users without making them feel invaded, and then predict cyberbullying acts beforehand.”
Photo: Christin Hume/Unsplash
