Dark Triad Personality and Online Trolling: The Mediating Role of Empathy
Bibliographic record
Abstract
<p style="text-align: justify;">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.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".