Abstract
Abstract. The current study examined how individual differences relate to one’s tendency to feel disinhibited in the online space. We conducted an online study for which we developed two short measures to assess online disinhibition and risky online behaviors. Specifically, we examined the relationship between feelings of anonymity and invisibility in the online environment and personality. Moreover, we hypothesized that feelings of disinhibition in the online realm would be strongly related to engaging in risky behaviors. We examined the relationship between our two measures and the HEXACO six-factor model of personality and three additional individual differences. Results indicated that lower Honesty-Humility, higher Emotionality, and higher stimulating risk-taking are predictors of both online disinhibition and risky online behaviors. Additionally, lower eXtraversion and lower Conscientiousness are predictors of online disinhibition, but not risky online behaviors. Implications for these findings are discussed.
References
2015). Cyberbullying: Review of an old problem gone viral. Journal of Adolescent Health, 57, 10–18. https://doi.org/10.1016/j.jadohealth.2015.04.011
(2008). The prediction of Honesty-Humility-related criteria by the HEXACO and Five-Factor models of personality. Journal of Research in Personality, 42, 1216–1228. https://doi.org/10.1016/j.jrp.2008.03.006
(2017). Do computer-mediated communication skill, knowledge and motivation mediate the relationships between personality traits and attitude toward Facebook? Computers in Human Behavior, 70, 51–59. https://doi.org/10.1016/j.chb.2016.12.034
(2016, December). Online disinhibition: Conceptualization, measurement, and relation to aggressive behaviors – research-in-progress. Thirty-Seventh International Conference on Information Systems, Dublin, Ireland
(2010). What reviewers should expect from authors regarding common method bias in organizational research. Journal of Business and Psychology, 25, 325–334. https://doi.org/10.1007/s10869-010-9181-6
(2016). Assessment of the state of knowledge: Connections between research on the social psychology of the Internet and violent extremism. The Canadian network for research on terrorism, security, and society (Working Paper no. 16-05). Retrieved from https://www.tsas.ca/publications/assessment-of-the-state-of-knowledge/
(2011). Manifestations of personality in online social networks: Self-reported Facebook-related behaviors and observable profile information. Cyberpsychology, Behavior, and Social Networking, 14, 483–488. https://doi.org/10.1089/cyber.2010.0087
(2016). Cyberbullying and cyberstalking among Internet users aged 15 to 29 in Canada. Insights on Canadian Society. Ottawa, ON: Statistics Canada. Retrieved from https://www150.statcan.gc.ca/n1/pub/75-006-x/2016001/article/14693-eng.htm
(1999). Psychometric properties of the Liebowitz Social Anxiety Scale. Psychological Medicine, 29, 199–212. https://doi.org/10.1017/S0033291798007879
(2018). Is the Dark Triad common factor distinct from low Honesty-Humility? Journal of Research in Personality, 73, 123–129. https://doi.org/10.1016/j.jrp.2017.11.012
(2018). Who are likely to build strong online social networks? The perspectives of relational cohesion theory and personality theory. Computers in Human Behavior, 82, 111–123. https://doi.org/10.1016/j.chb.2018.01.004
(2012). A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior, 28, 561–569. https://doi.org/10.1016/j.chb.2011.11.001
(2019, January 20). TD Bank should have seen “red flags” as senior lost $732 K in romance scam, son says. CBC News. Retrieved from https://www.cbc.ca/news/canada/toronto/senior-wires-life-savings-through-td-bank-in-romance-scam-1.4980649
(2019). “I did it for the LULZ”: How the dark personality predicts online disinhibition and aggressive online behavior in adolescence. Computers in Human Behavior, 98, 31–40. https://doi.org/10.1016/j.chb.2019.03.027
(2004). Psychometric properties of the HEXACO Personality Inventory. Multivariate Behavioral Research, 39, 329–358. https://doi.org/10.1207/s15327906mbr3902_8
(2006). Further assessment of the HEXACO Personality Inventory: Two new facet scales and an observer report form. Psychological Assessment, 18, 182–191. https://doi.org/10.1037/1040-3590.18.2.182
(2017). The Big Five personality traits, Big Two metatraits and social media: A meta-analysis. Journal of Research in Personality, 70, 229–240. https://doi.org/10.1016/j.jrp.2017.08.004
(2017). Which phish get caught? An exploratory study of individuals’ susceptibility to phishing. European Journal of Information Systems, 26, 564–584. https://doi.org/10.1057/s41303-017-0058-x
(2018). Loneliness and social internet use: Pathways to reconnection in a digital world? Perspectives on Psychological Science, 13, 70–87. https://doi.org/10.1177/1745691617713052
(2016). Social anxiety and Internet use – a meta-analysis: What do we know? What are we missing? Computers in Human Behavior, 62, 221–229. https://doi.org/10.1016/j.chb.2016.04.003
(2015). Civility 2.0: A comparative analysis of incivility in online political discussion. Information, Communication & Society, 18, 121–138. https://doi.org/10.1080/1369118X.2014.940365
(1996). UCLA Loneliness Scale (Version 3): Reliability, validity, and factor structure. Journal of Personality Assessment, 66, 20–40. https://doi.org/10.1207/s15327752jpa6601_2
(2014). Virtuous or vitriolic: The effect of anonymity on civility in online newspaper reader comment boards. Journalism Practice, 8, 18–33. https://doi.org/10.1080/17512786.2013.813194
(2005). The psychometric properties of the behavioral inhibition scale in a college-aged sample. Personality and Individual Differences, 39, 331–339. https://doi.org/10.1016/j.paid.2005.01.015
(1986). Group processes in computer-mediated communication. Organizational Behavior and Human Decision Processes, 37, 157–187. https://doi.org/10.1016/0749-5978(86)90050-6
(2012). Pessimistic side of information & communication technology: Cyber bullying & legislature laws. International Journal of Advances in Computer Science and Technology, 1, 14–20.
(2016). Development and validation of a measure of online deception and intimacy. Personality and Individual Differences, 88, 187–196. https://doi.org/10.1016/j.paid.2015.09.015
(2004). The online disinhibition effect. Cyberpsychology & Behavior, 7, 321–326. https://doi.org/10.1089/1094931041291295
(2014). Cyberbullying among high school students in Japan: Development and validation of the Online Disinhibition Scale. Computers in Human Behavior, 41, 253–261. https://doi.org/10.1016/j.chb.2014.09.036
(2018). Social media use, personality characteristics, and social isolation among young adults in the United States. Personality and Individual Differences, 124, 45–50. https://doi.org/10.1016/j.paid.2017.10.030
(2013). A review of young people’s vulnerabilities to online grooming. Aggression and Violent Behavior, 18, 135–146. https://doi.org/10.1016/j.avb.2012.11.008
(2001). Beyond risk seeking and risk aversion: Personality and the dual nature of economic risk taking. European Journal of Personality, 15, S105–S122. https://doi.org/10.1002/per.426
(2016). Online aggression: The influences of anonymity and social modeling. Psychology of Popular Media Culture, 5, 181–193. https://doi.org/10.1037/ppm0000038
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