Pendekatan strategis untuk mengatasi sikap agresif audiens dalam konteks difusi informasi di media sosial

Purpose. This study extensively examines social media aggression's patterns and impacts on information reception, focusing on behaviors like cyberbullying and hate speech. It aims to uncover the causes and consequences of these actions, contributing to mitigation strategies.Methodology. The study utilizes data analysis with software assistance and random questionnaires from various respondents to explore strategies for reducing aggression in information diffusion. Qualitative analysis involves examining these strategies with references to social media platform observations.Results and discussion. Findings reveal that respondents prioritize sharing truthful information, even in the face of aggression. They maintain a positive attitude to clarify content and avoid the spread of falsehoods.Conclusions. This study underscores the importance of self-regulation and responsible online behavior. Enhancing self-regulation skills, maintaining a responsible online presence, and selecting content consumption are essential for eliminating unnecessary or aggressive information. These findings offer valuable insights into social media aggression dynamics, so it develops effective mitigation strategies in the digital age

Columbus' egg and the engineer's effect in forecasting solutions adoption

Why is it that both complex and simple solutions that have proved to be effective have low rates of adoption? The literature on innovation (i.e., a specific category of solutions) management has provided some clues, identifying barriers of several types: organizational, technological, economic, human behavior and the nature of the innovation. We suggest that one reason is the misalignment between the degrees of complexity i.e., the degree of knowledge embedded, of the problem and its solution. A solution perceived to be too simple for a complex problem falls into the category of what might be called “Columbus' egg”. At the basis of this effect there is the tendency to minimize expected frustration as the difference between the effort made in looking for a solution and the obtained reward. When the solution is too complex for a simple problem, this is the case of the “Engineer's effect”. This effect has its cognitive underpinnings in the tendency to minimize decision-making costs. We discuss and illustrate these phenomena and propose some guidelines for technology developers and product innovation managers, as well as for forecasting solutions adoption

Efficient Vengeance: The role of processing fluency in making decisions about retaliation

Aggressive behavior is a harmful and pervasive psychological and behavioral phenomenon. Inherent to every act of aggression are decisions regarding the modality, severity, and timing of such actions. Prevailing theories of aggression emphasize the role of cognitive processes in aggression, especially retaliatory aggression. Despite this emphasis, few cognitive processes have been examined for their possible involvement in making decisions about retaliatory aggression. Across two studies, I examined the role of processing fluency in making decisions about retaliation. I drew from contemporary models of aggression (e.g., the General Aggression Model) and processing fluency (e.g., the Multi-Source Account) to develop hypotheses in this novel extension of the aggression literature. Study 1 provided correlational evidence that processing fluency facilitates greater retaliation severity among vengeance-seekers and that such fluency linked with greater levels of antagonistic dispositions (i.e., Sadism). Study 2 extended these findings with a between-subjects experiment which provided evidence that induced angry rumination increased processing fluency for retaliation decisions, indirectly facilitating greater severity. Both studies also provided evidence that the Drift Diffusion Model can account for such decisions and that drift rate estimates are a valid measure of processing fluency. These findings hold major implications for contemporary theories of aggression and processing fluency, laboratory research, and clinical practice

Literature Review: Conflict Resolution in Post-Secondary Online Education

This article seeks to provide a review of research literature published between 2008 and 2014 that discusses conflicts arising within the online education process, and their resolution within the online context. The goal of this article is to establish a current overview of related literature that can become the foundation of future studies in this field. An online search produced 48 references that were considered relevant to the purpose of this review. After a brief introduction of the topic, main definitions are provided. A section outlining the method for the development of the review follows including discussions of delimitations, the search, and reference descriptions. More background information is provided through a brief history of online education in the U.S. and an overview of the theories used in current studies in the field. The main body of the article describes common themes and emphases of online education conflict resolution that resulted from the literature analysis. After the uniqueness of online education conflict is established, strategies of virtual conflict resolution are described. Other common themes include foci on the instructor, the learner, and dynamics social interaction. The article closes with a categorized summary of suggested future research found in the literature

Child sexual abuses myths: the role of individual and sociocognitive variables

Sexual violence myths dissemination legitimizes violent behaviors with potential negative individual and social consequences (e.g., higher levels of victim blame and reduced levels of offender blame, negative influence on judicial decisions). In this study, we aim to translate and adapt the Child Sexual Abuse Myth Scale (CSAMS) to the Portuguese context and to explore the moderating role of sex in the relationship between sexism and child sexual abuse myths. A total of 423 adults (66.2% female) filled out a sociodemographic questionnaire, the Ambivalent Sexism Inventory and the CSAMS. The CSAMS validity and reliability results showed the appropriateness of the original three-factor model: Blame Diffusion (α=.81), Restrictive Stereotypes (α=.73) and Denial of Abusiveness (α=.64). The moderation model was not statistically significant; however, specific patterns were identified by sex: for women, higher levels of Benevolent Sexism predicted higher levels of Blame Diffusion and Restrictive Stereotypes and higher levels of Hostile Sexism predicted higher levels of Restrictive Stereotypes. For men, only Hostile Sexism was a predictor of myths. Statistically significant sex differences were found in the relationship between Hostile Sexism and Denial of Abusiveness (zscore = 2.016, p = .044). The results showed appropriate validity and reliability evidence. Sexist attitudes significantly predict myth dissemination, and additional evidence is needed about the role of sex in these relationships. Implications for practice and for evidence-based research will be identified.A disseminação de mitos sobre violência sexual legitima o seu exercício, traduzindo-se em potenciais consequências individuais/sociais negativas (e.g., maior culpabilização da vítima e menor dos agressores; impacto negativo para as decisões judiciais). Neste estudo pretendemos traduzir e adaptar a Escala de Mitos sobre o Abuso Sexual (CSAMS) no contexto português e explorar o papel moderador do sexo na relação entre sexismo e mitos sobre o abuso sexual. Participaram 423 adultos (66.2% sexo feminino), tendo preenchido um questionário sociodemográfico, o Inventário de Sexismo Ambivalente e a CSAMS. Os resultados de validade e fidelidade da CSAMS mostraram a adequabilidade do modelo original de três fatores: Difusão de Culpa (α=.81), Estereótipos Restritivos (α=.73) e Negação do Abuso (α=.64). O modelo de moderação não se revelou estatisticamente significativo, porém, identificou-se um conjunto de padrões específicos em função do sexo: para as mulheres, maiores níveis de Sexismo Benévolo predizem maiores níveis de Difusão de Culpa e de Estereótipos Restritivos e maiores níveis de Sexismo Hostil predizem maiores níveis de Estereótipos Restritivos. Para os homens, apenas o Sexismo Hostil foi preditor dos mitos. Foram encontradas diferenças de sexo estatisticamente significativas na relação entre Sexismo Hostil e a Negação do Abuso (zscore=- 2.016, p = .044). Os resultados sugerem indicadores adequados de validade e fidelidade da escala. Atitudes sexistas predizem significativamente a disseminação dos mitos, sendo necessária evidência adicional acerca do papel do sexo nestas relações. Serão identificadas implicações para a prática e para a investigação baseadas na evidência obtida