Problematic use of social networking sites among adolescents in the Czech Republic versus offline risk behaviour and parental control

The Problematic Use (PU) of Social Networking Sites (SNS) is a diagnostic and preventive as well as educational challenge. Problematic Use of new media is currently a phenomenon discussed by psychologists, sociologists, and media educators in the field of diagnosing the scale of the phenomenon, as well as protective factors and risks related to this phenomenon. This text is part of the debate on the scale of SNS among young people, as well as on the role of parents in reducing this phenomenon. The text also juxtaposes issues related to the prediction of PU SNS and risk behaviours in the offline space. The study employed a triangulation of quantitative tools in the form of: frequency of SNS use, parental control online, and scale of psychoactive substance use. Based on the data collected among a group of adolescents in the Czech Republic (N = 531 individuals aged 13-19 years, study year 2018/2019), it was noted that: 1) Almost 75% of adolescents systematically use SNS before bedtime; 2) Every fifth adolescent consumes dinner daily or almost daily accompanied by SNS; 3) Less than a third of respondents use SNS almost continuously; 4) SNS UI indicators are mutually related; however, the relationship is not always strong; 5) Girls have a slightly higher level of PU SNS than boys; 6) Systematic alcohol consumption is a predictor of PU SNS; 7) Parental restriction of Internet use time leads to a reduction in PU SNS among adolescents

Until death do they part: preventing intimate partner homicide\ud

Just under one quarter of all homicide victims in England and Wales were killed by an intimate partner in the year 2008/9, according to Home Office statistics. In the aftermath of such fatalities, where the offender was clearly well known to the victim, questions are often raised about whether the attack could have been foreseen and whether services had failed the victim in not preventing the sometimes seemingly inevitable event. This article considers how psychological theory and research can lend itself to the prevention of serious and fatal intimate partner violence and looks at the current state of practice in this domain

An Examination of the Individual and Contextual Characteristics Associated with Active Shooter Events

In recent years, the US has experienced a substantial number of mass shooting incidents. This type of shooting incident has been termed “active shooter event” and encompasses shootings that occur in school settings as well as public settings and workplace venues. Much of the recent published literature addressing active shooter events appears to focus on tactical issues, such as training for and responding to this type of incident. Very little research, however, has examined the individual and contextual characteristics associated with active shooter events. In the current study we examine a number of factors related to 88 active shooting events involving 92 perpetrators. Our findings indicate a history of psychological and behavioral issues reported in more than 50% of the active shooters studied. In addition, 60% of shooters had evidence of additional stressors beyond those associated with psychological and behavioral issues. These findings highlight the need to continue to explore potential risk factors associated with this form of violence

Empirical Evidence on the Use of Credit Scoring for Predicting Insurance Losses with Psycho-social and Biochemical Explanations

An important development in personal lines of insurance in the United States is the use of credit history data for insurance risk classification to predict losses. This research presents the results of collaboration with industry conducted by a university at the request of its state legislature. The purpose was to see the viability and validity of the use of credit scoring to predict insurance losses given its controversial nature and criticism as redundant of other predictive variables currently used. Working with industry and government, this study analyzed more than 175,000 policyholders’ information for the relationship between credit score and claims. Credit scores were significantly related to incurred losses, evidencing both statistical and practical significance. We investigate whether the revealed relationship between credit score and incurred losses was explainable by overlap with existing underwriting variables or whether the credit score adds new information about losses not contained in existing underwriting variables. The results show that credit scores contain significant information not already incorporated into other traditional rating variables (e.g., age, sex, driving history). We discuss how sensation seeking and self-control theory provide a partial explanation of why credit scoring works (the psycho-social perspective). This article also presents an overview of biological and chemical correlates of risk taking that helps explain why knowing risk-taking behavior in one realm (e.g., risky financial behavior and poor credit history) transits to predicting risk-taking behavior in other realms (e.g., automobile insurance incurred losses). Additional research is needed to advance new nontraditional loss prediction variables from social media consumer information to using information provided by technological advances. The evolving and dynamic nature of the insurance marketplace makes it imperative that professionals continue to evolve predictive variables and for academics to assist with understanding the whys of the relationships through theory development.IC2 Institut

Competition and Selection Among Conventions

In many domains, a latent competition among different conventions determines which one will come to dominate. One sees such effects in the success of community jargon, of competing frames in political rhetoric, or of terminology in technical contexts. These effects have become widespread in the online domain, where the data offers the potential to study competition among conventions at a fine-grained level. In analyzing the dynamics of conventions over time, however, even with detailed on-line data, one encounters two significant challenges. First, as conventions evolve, the underlying substance of their meaning tends to change as well; and such substantive changes confound investigations of social effects. Second, the selection of a convention takes place through the complex interactions of individuals within a community, and contention between the users of competing conventions plays a key role in the convention's evolution. Any analysis must take place in the presence of these two issues. In this work we study a setting in which we can cleanly track the competition among conventions. Our analysis is based on the spread of low-level authoring conventions in the eprint arXiv over 24 years: by tracking the spread of macros and other author-defined conventions, we are able to study conventions that vary even as the underlying meaning remains constant. We find that the interaction among co-authors over time plays a crucial role in the selection of them; the distinction between more and less experienced members of the community, and the distinction between conventions with visible versus invisible effects, are both central to the underlying processes. Through our analysis we make predictions at the population level about the ultimate success of different synonymous conventions over time--and at the individual level about the outcome of "fights" between people over convention choices.Comment: To appear in Proceedings of WWW 2017, data at https://github.com/CornellNLP/Macro