Online trolling is online behavior in which the troll provokes, harms, and pretends to be someone else to achieve their goals. The purpose of trolls may be to harm the other person, but they can also be for entertainment purposes. Online trolling, for whatever purpose, can have significant psychological effects on individuals and people who are socially exposed. In addition, online trolling is becoming more common every day. However, there are very few studies on trolling. Therefore, the study aims to examine the mediating role of empathy in the relationship between dark triad personality traits and levels of online trolling. For this purpose, structural equation modeling and bootstrapping method was used. The participants comprised 516 (%71.6 females; %28.4 males) undergraduates. The ages of the participants ranged from 18 to 31 (X̄ = 21.09). The measures used included the Online Trolling Scale, Dirty Dozen Scale, and Toronto Empathy Questionnaire. In the study, it was found that there were significant relationships between the dark triad, online trolling, and empathy. Also, the results of the structural equation model showed that the effect of the dark triad on online trolling was mediated by empathy. This result was found to be significant with bootstrapping.

Data obtained through questionnaires sometimes respond to the items presented by social norms, so sometimes they do not suit themselves. High social desirability (SD) in non-cognitive measurements will cause item bias. Several ways are used to reduce item bias, including freeing respondents from not writing their names or being anonymous, explaining to the participants to respond to each statement honestly, as they are or according to themselves, and responding to the questionnaire online or offline. This research aims to prove that several methods can minimize the possibility of item bias SD and academic dishonesty (AD). The research was carried out with an experimental study using a factorial design. There were 309 respondents who were willing to be involved in this research. Data analysis was carried out using multivariate ANOVA. The research results show differences for all variables, Self-Deceptive Enhancement (SDE), Impression Management (IM), and AD in the anonymous group. There are differences in AD in the groups that provide a complete explanation and do not explain, and there is an interaction between the average AD based on the anonymous and explanation group.