Zeng Ke, Cao Feizhen, Wu Yajun, Zhang Manhua, Ding Xinfang
Department of Medical Psychology, School of Medical Humanities, Capital Medical University, Beijing, China.
Department of Psychology, Ningbo University, Ningbo, China.
Curr Psychol. 2023 Mar 10:1-14. doi: 10.1007/s12144-023-04433-3.
Highly aggressive individuals tend to interpret others' motives and intentions as hostile in both offline and online social situations. The current study examined whether hostile interpretation bias can be modified to influence cyber-aggression in Chinese middle school students using an interpretation bias modification program. Gender differences and the heterogeneity of cyber-aggression were also investigated since previous studies suggest that they play important roles in determining the intervention effect. One hundred and twenty-one middle school students were randomized to receive either an eight-session interpretation bias modification task (CBM-I; = 61) or an eight-session placebo control task (PCT; = 60) over four weeks. Measures of hostile attribution bias and cyber-aggression were administered at baseline, post-training, and at one week follow-up. Results showed that compared to PCT, participants in CBM-I showed a significant reduction in reactive cyber-aggression. However, contrary to our expectation, there was no significant difference between the two groups in the reduction of hostile attribution bias after training. The moderated mediation analysis revealed that the effect of CBM-I on hostile attribution bias and the mediating role of hostile attribution bias in the relationship between CBM-I condition and reactive cyber-aggression was only observed among females, but not among males. These findings provide initial evidence for the potential of CBM-I in reducing hostile attribution bias and cyber-aggression. However, for male students, CBM-I might not be effective enough as expected.
The online version contains supplementary material available at 10.1007/s12144-023-04433-3.
高度攻击性的个体在现实和网络社交情境中往往将他人的动机和意图解读为敌意。本研究使用一种解读偏差修正程序,检验了在中国中学生中,敌意解读偏差是否可以被修正以影响网络攻击行为。由于先前研究表明性别差异和网络攻击行为的异质性在决定干预效果方面发挥重要作用,因此也对其进行了调查。121名中学生被随机分配,在四周内接受为期八节的解读偏差修正任务(CBM-I;n = 61)或为期八节的安慰剂对照任务(PCT;n = 60)。在基线、训练后和一周随访时进行敌意归因偏差和网络攻击行为的测量。结果显示,与PCT组相比,CBM-I组的反应性网络攻击行为显著减少。然而,与我们的预期相反,两组在训练后敌意归因偏差的减少上没有显著差异。调节中介分析显示,CBM-I对敌意归因偏差的影响以及敌意归因偏差在CBM-I条件与反应性网络攻击行为关系中的中介作用仅在女性中观察到,在男性中未观察到。这些发现为CBM-I在减少敌意归因偏差和网络攻击行为方面的潜力提供了初步证据。然而,对于男学生来说,CBM-I可能没有预期的那么有效。
在线版本包含可在10.1007/s12144-023-04433-3获取的补充材料。