Chronic self‐promoters may thrive in job interviews where such behavior is encouraged. In Study 1, 72 participants were videotaped as they simulated the job applicant role. Accountability was manipulated by the expectation of expert versus nonexpert interviewers. As accountability increased, self‐promotion tended to decrease among non‐narcissists but increase among narcissists. Ingratiation showed no interaction or main effects. In Study 2, 222 raters evaluated applicant videos varying in narcissism (high vs. low) and ethnicity (European heritage vs. East Asian heritage). Chronic self‐promoters (i.e., European‐heritage narcissists) were given the most positive evaluations. Detailed behavior analyses indicated that the narcissism advantage was derived primarily from frequent self‐praise and the European‐heritage advantage from use of active ingratiation tactics. In sum, self‐presentation styles that pay off in the (Western) interview context are highly selective.

The growth of the Internet has been paralleled with a similar growth in online child exploitation. Since completely shutting down child exploitation websites is difficult (or arguably impossible), the goal must be to find the most efficient way of identifying the key targets and then to apprehend them. Traditionally, online investigations have been manual and centered on images. However, we argue that target prioritization needs to take more than just images into consideration, and that the investigating process needs to become more systematic. Drawing from a web crawler we specifically designed for extracting child exploitation website networks, this study 1) examines the structure of ten child exploitation networks and compares it to a control group of sports-related websites, and 2) provides a measure (network capital) that allows for identifying the most important targets for law enforcement purposes among our sample of websites. Results show that network capital -a combination between severity of content (images, videos, and text) and connectivity (links to other websites) -is a more reliable measure of target prioritization than more traditional measures of network centrality taken alone. Policy implications are discussed.

No abstract

No abstract

The distribution of child sexual exploitation (CE) material has been aided by the growth of the Internet. The graphic nature and prevalence of the material has made researching and combating difficult. Although used to study online CE distribution, automated data collection tools (e.g., webcrawlers) have yet to be shown effective at targeting only relevant data. Using CE-related image and keyword criteria, we compare networks starting from CE websites to those from similar non-CE sexuality websites and dissimilar sports websites. Our results provide evidence that (a) webcrawlers have the potential to provide valid CE data, if the appropriate criterion is selected; (b) CE distribution is still heavily image-based suggesting images as an effective criterion; (c) CE-seeded networks are more hub-based and differ from non-CE-seeded networks on several website characteristics. Recommendations for improvements to reliable criteria selection are discussed.