Implicit theories of online trolling: Evidence that attention-seeking conceptions are associated with increased psychological resilience.

Three studies were conducted to investigate people's conceptions of online trolls, particularly conceptions associated with psychological resilience to trolling. In Study 1, a factor analysis of participants' ratings of characteristics of online trolls found a replicable bifactor model of conceptions of online trolls, with a general factor of general conceptions towards online trolls being identified, but five group factors (attention-conflict seeking, low self-confidence, viciousness, uneducated, amusement) as most salient. In Study 2, participants evaluated hypothetical profiles of online trolling messages to establish the validity of the five factors. Three constructs (attention-conflict seeking, viciousness, and uneducated) were actively employed when people considered profiles of online trolling scenarios. Study 3 introduced a 20-item 'Conceptions of Online Trolls scale' to examine the extent to which the five group factors were associated with resilience to trolling. Results indicated that viewing online trolls as seeking conflict or attention was associated with a decrease in individuals' negative affect around previous trolling incidents. Overall, the findings suggest that adopting an implicit theories approach can further our understanding and measurement of conceptions towards trolling through the identification of five salient factors, of which at least one factor may act as a resilience strategy.

[1]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[2]  L. Betts,et al.  Bullying Behaviors and Victimization Experiences Among Adolescent Students: The Role of Resilience , 2014, The Journal of genetic psychology.

[3]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[4]  Tapabrata Maiti,et al.  Principles and Practice of Structural Equation Modeling (2nd ed.) , 2006 .

[5]  B. Fredrickson,et al.  Psychological resilience and positive emotional granularity: examining the benefits of positive emotions on coping and health. , 2004, Journal of personality.

[6]  R. Darlington,et al.  Factor Analysis , 2008 .

[7]  J. Neter,et al.  Applied Linear Statistical Models (3rd ed.). , 1992 .

[8]  S. Messick Validity of Psychological Assessment: Validation of Inferences from Persons' Responses and Performances as Scientific Inquiry into Score Meaning. Research Report RR-94-45. , 1994 .

[9]  A. Osman,et al.  Assessing Protection from Suicidal Risk: Psychometric Properties of the Suicide Resilience Inventory , 2008, Death studies.

[10]  E. M. Hetherington,et al.  Socialization, personality, and social development , 1983 .

[11]  G. Puccio,et al.  Implicit Theories of Creativity: Laypersons' Perceptions of the Creativity of Adaptors and Innovators , 2001, Perceptual and motor skills.

[12]  P. Barrett Structural equation modelling : Adjudging model fit , 2007 .

[13]  R. Cattell The Scree Test For The Number Of Factors. , 1966, Multivariate behavioral research.

[14]  J. Horn A rationale and test for the number of factors in factor analysis , 1965, Psychometrika.

[15]  W. Velicer,et al.  Comparison of five rules for determining the number of components to retain. , 1986 .

[16]  P. Kline The handbook of psychological testing, 2nd ed. , 1993 .

[17]  Nicholas Tarrier,et al.  Resilience to suicidality: the buffering hypothesis. , 2011, Clinical psychology review.

[18]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[19]  R. Cattell The Scientific Use of Factor Analysis in Behavioral and Life Sciences , 2012 .

[20]  Louis W. Glorfeld An Improvement on Horn's Parallel Analysis Methodology for Selecting the Correct Number of Factors to Retain , 1995 .

[21]  Pedro M. Valero-Mora,et al.  Determining the Number of Factors to Retain in EFA: An easy-to-use computer program for carrying out Parallel Analysis , 2007 .

[22]  Michael Hand,et al.  The Concept of Intelligence. , 2007 .

[23]  B. Tabachnick,et al.  Using multivariate statistics, 5th ed. , 2007 .

[24]  H. Kaiser The Application of Electronic Computers to Factor Analysis , 1960 .

[25]  John A. Johnson,et al.  The international personality item pool and the future of public-domain personality measures ☆ , 2006 .

[26]  Dieter Wolke,et al.  Resilience to bullying victimization: the role of individual, family and peer characteristics. , 2013, Child abuse & neglect.

[27]  Paul E. Spector Summated rating scale construction , 1991 .

[28]  C. Dweck,et al.  Stereotype formation and endorsement: The role of implicit theories. , 1998 .

[29]  V. Barnett,et al.  Applied Linear Statistical Models , 1975 .

[30]  R. Sternberg,et al.  People's conceptions of intelligence. , 1981 .

[31]  David Eichelberger,et al.  Handbook Of Psychological Testing , 2016 .

[32]  R. Sternberg Implicit theories of intelligence. creativity, and wisdom , 1985 .

[33]  Mark D. Griffiths,et al.  An Exploratory Study of Trolling in Online Video Gaming , 2012, Int. J. Cyber Behav. Psychol. Learn..

[34]  B. Price A First Course in Factor Analysis , 1993 .

[35]  D. Paulhus,et al.  Trolls just want to have fun , 2014 .

[36]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[37]  C. Hardaker,et al.  Trolling in asynchronous computer-mediated communication: From user discussions to academic definitions , 2010 .

[38]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[39]  C. Dweck,et al.  Modes of social thought: Implicit theories and social understanding. , 1999 .

[40]  Claire Hardaker,et al.  “Uh. . . . not to be nitpicky,,,,,but…the past tense of drag is dragged, not drug.”: An overview of trolling strategies , 2013 .

[41]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[42]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[43]  Duane T. Wegener,et al.  Evaluating the use of exploratory factor analysis in psychological research. , 1999 .

[44]  M. Lipsey Design sensitivity: Statistical power for applied experimental research. , 1998 .

[45]  P. Gooding,et al.  Trait reappraisal amplifies subjective defeat, sadness, and negative affect in response to failure versus success in nonclinical and psychosis populations. , 2011, Journal of abnormal psychology.

[46]  R. Sternberg,et al.  Adults' conceptions of intelligence across the adult life span. , 1992, Psychology and aging.

[47]  Diana Adler,et al.  Using Multivariate Statistics , 2016 .

[48]  S. Messick Validity of Psychological Assessment: Validation of Inferences from Persons' Responses and Performances as Scientific Inquiry into Score Meaning. Research Report RR-94-45. , 1994 .

[49]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[50]  Y. Gustafson,et al.  Psychometric properties of the Swedish version of the Resilience Scale. , 2007, Scandinavian journal of caring sciences.

[51]  Allen R. McConnell,et al.  Implicit Theories: Consequences for Social Judgments of Individuals ☆ , 2001 .

[52]  J. Maltby,et al.  Implicit theories of a desire for fame. , 2008, British journal of psychology.