Imitative violence in the real world: A reanalysis of homicide rates following championship prize fights

Recently, Phillips [Am Soc Rev, 1983; 48:560–568] reported that the homicide rate increases on the third day after heavyweight championship prize fights. The present paper reports a reanalysis of Phillips's data using more sophisticated statistical techniques and examining several theoretically important variables not discussed by Phillips or his critics. Using a conservative analysis strategy, our results suggest that the increases in homicides reported by Phillips were not a methodological artifact as suggested by Baron and Reiss [Am Soc Rev 1985; 50:347–363, 372–376]. The homicide increases only occur on the first weekend or holiday after prize fights that receive the greatest publicity.     

Popular Politics and the Clinton/Lewinsky Affair: The Implications for Leadership

The Clinton/Lewinsky scandal unfolded in an era of "new media" politics that presented fresh and often unanticipated challenges for presidential leadership. New media actors, such as call-in talk radio and TV hosts, tabloid journalists, and Internet gossip columnists, played a significant role in scandal politics. They influenced the framework within which stories were reported and perceived by the public. New media channels, in particular, framed the events leading up to the presidential impeachment in terms of dramatic, prime time–style entertainment. This entertainment news frame allowed citizens to compartmentalize their perceptions of President Clinton as a leader versus a private individual involved in a sex scandal. Media Politics can explain, at least in part, President Clinton's strong job performance evaluations in the midst of one of the most publicized political scandals of the century.     

Social media reduce users' moral sensitivity: Online shaming as a possible consequence

In this study, we propose that social media reduce users' moral sensitivity through the mediation of the perceived moral intensity of hostile comments, which leads to behavioral consequences for online shaming. Three separate studies were conducted to explore this statement. Study 1 (N = 160) compared moral sensitivity between participants in simulated social media situations and a control group. Study 2 (N = 412) tested the mediating role of perceived moral intensity through self-rated questionnaires. Study 3 (N = 295) examined the behavioral consequences of reduced moral sensitivity on online shaming by manipulating social media and perceived moral intensity. Across these three studies with their different methodologies, we found consistent support for our prediction that social media reduce users' moral sensitivity. Also, our findings shed light on perceived moral intensity as a mediator. As expected, less perceived moral intensity and less moral sensitivity (as serial mediators) induced by social media led to a higher tendency to participate in online shaming. In addition, our research suggests that the harmful effects of social media could be restricted by improving users' perceived moral intensity in the form of reminders. These findings provide novel insights into the underlying mechanism of cyberviolence on social media and also contribute to the literature on the antecedents and consequences of moral sensitivity.     

FNDNet – A deep convolutional neural network for fake news detection

With the increasing popularity of social media and web-based forums, the distribution of fake news has become a major threat to various sectors and agencies. This has abated trust in the media, leaving readers in a state of perplexity. There exists an enormous assemblage of research on the theme of Artificial Intelligence (AI) strategies for fake news detection. In the past, much of the focus has been given on classifying online reviews and freely accessible online social networking-based posts. In this work, we propose a deep convolutional neural network (FNDNet) for fake news detection. Instead of relying on hand-crafted features, our model (FNDNet) is designed to automatically learn the discriminatory features for fake news classification through multiple hidden layers built in the deep neural network. We create a deep Convolutional Neural Network (CNN) to extract several features at each layer. We compare the performance of the proposed approach with several baseline models. Benchmarked datasets were used to train and test the model, and the proposed model achieved state-of-the-art results with an accuracy of 98.36% on the test data. Various performance evaluation parameters such as Wilcoxon, false positive, true negative, precision, recall, F1, and accuracy, etc. were used to validate the results. These results demonstrate significant improvements in the area of fake news detection as compared to existing state-of-the-art results and affirm the potential of our approach for classifying fake news on social media. This research will assist researchers in broadening the understanding of the applicability of CNN-based deep models for fake news detection.     

民警社交媒体自我呈现对工作满意度的影响—积极情绪的中介作用

为探讨民警在社交媒体中自我呈现策略与工作满意度的关系,以及积极情绪的中介作用,采用积极情感消极情感量表、工作满意度量表以及自我呈现问卷对242名民警进行问卷调查,结果表明：（1）民警在社交媒体中的积极自我呈现和真实自我呈现分别与积极情绪、工作满意度两两之间显著正相关,积极自我呈现与积极情绪、工作满意度的相关性更高;（2）民警在社交媒体中的积极自我呈现和真实自我呈现对工作满意度有正向预测作用,并通过积极情绪的中介作用对工作满意度产生影响。     

工作场所社交媒体使用对员工工作绩效的影响：基于人际关系视角

基于社会交换理论和分心冲突理论,本研究探讨了社交媒体使用对员工工作绩效影响的作用机制。通过“领导者-下属”配对的问卷调查法对147名员工进行调查,采用Bootstrap检验对模型中的多重中介效应进行检验。结果发现：（1）社交相关的社交媒体使用与员工工作绩效各维度间显著正相关;（2）社交相关的社交媒体使用对工作绩效不同维度的影响存在显著差异,通过增加人际信任对工作奉献和任务绩效产生影响,通过缓解关系冲突对人际促进和任务绩效产生影响。     

The Internet is a scary place: How does evidence source and examinee race or ethnicity influence determinations of threat?

Violent rhetoric online is becoming increasingly relevant to the practice of forensic mental health assessment as examinee's virtual lives may transform into real-world acts of violence. With the rise of a diverse subculture of violent online communities, the aim of the present study was to inform how concerns with online sources of collateral data and racial/ethnic biases may influence determinations of violence potential. Using an experimental design, jury-eligible participants (N = 278) and forensic mental health experts (N = 78) were presented with mock Twitter (now referred to as X) posts that varied by data source (i.e., how information was accessed) and the examinee's race/ethnicity. Results showed no differences in participants' ratings of data credibility, how much weight they would place on the posts in a threat assessment, or how likely the examinee was to act violently against his intended target. Implications regarding the interpretation of social media evidence, relevant limitations, and future research are discussed.     

Violent video game play impacts facial emotion recognition

This study assessed the speed of recognition of facial emotional expressions (happy and angry) as a function of violent video game play. Color photos of calm facial expressions morphed to either an angry or a happy facial expression. Participants were asked to make a speeded identification of the emotion (happiness or anger) during the morph. Typically, happy faces are identified faster than angry faces (the happy-face advantage). Results indicated that playing a violent video game led to a reduction in the happy face advantage. Implications of these findings are discussed with respect to the current models of aggressive behavior.