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Violence against women and girls (VAWG) is not a recent phenomenon. What is new is the additional increasing threats that millions of women and girls face because of the rapid spread of ICTs and the expansion of social media. Cases of VAWG wherein ICT and social media are used as platforms by cybercriminals can be seen in the news media coverage. This study aims to understand and determine the trend and the state of cyber VAWG to raise awareness through mining online news websites. News articles were scraped from popular news websites between 2015 to 2020. The preprocessed articles (N=3,506) were analyzed by year using the Topic Keyword Model (TKM). It was observed that the cyber VAWG articles topic trends are increasing with most of the articles focusing on the topics “Online sexual exploitation and sexual abuse of children” and “ICT-related violations of privacy”. Text mining methods may address the limitations of traditional qualitative approaches. Understanding the cyber VAWG issues by mining news articles is a novel approach that could help create programs and policies to address this societal concern. Additional studies should be conducted related to sentiment analysis of news data to verify and measure the influence of cyber VAWG-related topics. La violencia contra las mujeres y las niñas (VCMN) no es un fenómeno nuevo. Lo nuevo son los crecientes peligros a que se enfrentan los millones de mujeres y niñas debido a la difusión de las TIC y redes sociales. Los casos de la VCMN donde se utilizan como plataformas las TIC y las redes sociales se encuentran fácilmente por medio de la cobertura mediática. Este estudio tiene como objetivo la comprensión y la definición de la tendencia y el estado de la ciber-VCMN para crear conciencia por medio del análisis de los sitios web de noticias online. Entre 2015 y 2020, se recopilaron artículos de los principales sitios de noticias. Se utilizó el Modelo de palabras claves temáticas para evaluar los artículos preprocesados (N=3.506) por año. Se señaló que la mayoría de los artículos sobre ciber-VCMN se centraban en temas de «Explotación sexual y abuso sexual de niños en línea» y «Violaciones de la privacidad relacionadas con las TIC». El análisis de los textos ayuda a trascender las limitaciones de las metodologías cualitativas tradicionales. Comprender las preocupaciones de la ciber-VCMN mediante la extracción de artículos de noticias podría ayudar a crear iniciativas y políticas para solucionar este problema. Proponemos que se lleve a cabo una investigación utilizando análisis de sentimiento de los datos de noticias para verificar y cuantificar el impacto de los problemas relacionados con la ciber-VCMN.

The perceptions of people toward neighborhoods reveal their satisfaction with their living environments and their perceived quality of life. Recently, there is an emergence of Web sites designed for helping people to find suitable places to live. On these Web sites, current and previous residents can review their neighborhoods by providing numeric ratings and textual comments. Such online neighborhood review data provide novel opportunities for studying the perceptions of people toward their neighborhoods. In this article, we analyze such online neighborhood review data. Specifically, we extract two types of knowledge from the data: (1) semantics, or the semantic topics (or aspects) that people talk about regarding their neighborhoods, and (2) sentiments, or the emotions that people express toward the different aspects of their neighborhoods. We experiment with a number of different computational models in extracting these two types of knowledge and compare their performances. The experiments are based on a data set of online reviews about the neighborhoods in New York City, which were contributed by 7,673 distinct Web users. We also conduct correlation analyses between the subjective perceptions extracted from this data set and the objective socioeconomic attributes of New York City neighborhoods and find similarities and differences. The effective models identified in this research can be applied to neighborhood reviews in other cities for supporting urban planning and quality of life studies.

In recent years, the generation has gained importance in the narrative of social change and conflict, as reflected in the spread of digital phenomena such as #OKBoomer, which highlighted the negative perception of this generation by later generations, popularising the term “boomer” as a pejorative adjective. In order to find out whether the use of this term is an expression of conflict and generational vindication, we downloaded more than 600,000 tweets, in Spanish, issued between November 2019 and December 2022, which contained the term “the boomers”. Using supervised machine learning techniques, we quantified the percentage of tweets that, through the use of this term, expressed generational claims or conflicts. Subsequently, we used topic modelling techniques to investigate under which themes these are expressed. We found that, during this period, most of the tweets analysed expressed conflicts and demands, focusing on issues such as material and economic inequality, lack of opportunities to develop a life project and political issues. Everyday generational clashes were also observed, related to digital skills or attitudinal differences. In conclusion, behind the use of the term “boomer”, claims of the younger generations are being expressed in the form of generational conflict, either by blaming the “boomer” generation for their situation or by denouncing the lack of empathy of the “boomer” generation towards them.

This paper aims to map out how the field of dynamic capabilities has developed since the seminal studies by Teece et al. (1997) and Eisenhardt and Martin (2000). We identified 10,838 papers and used the Latent Dirichlet Allocation algorithm for topic modeling. We conducted two analyses: the first was based on the temporality and characteristics of the studies; the second was interpretative and based on the network of theoretical concepts. Results indicate an approximation between the ideas of the two seminal studies, which were initially viewed as opposite. We observe a movement to value relational issues, following a collective construction path, and paying less attention to the firm itself. Overall, we were able to understand the consolidation of the dynamic capabilities field; understand the core elements involved in the development of dynamic capabilities; set out the original and current concepts of dynamic capabilities; and indicate tendencies and a possible future research agenda. Este artigo visa mapear como o campo das capacidades dinâmicas se desenvolveu desde os artigos seminais de Teece et al. (1997) e Eisenhardte Martin (2000). Identificamos 10.838 artigos e usamos o algoritmo de alocação latente de Dirichlet para modelagem de tópicos. Realizamos dois tipos distintos de análise: a primeira foi baseada na temporalidade e características dos estudos, enquanto a segunda foi interpretativa e baseada na rede de conceitos teóricos estabelecidos. Os resultados indicam que há uma aproximação entre as ideias dos dois artigos seminais, que inicialmente eram vistas como opostas. Observamos um movimento de valorização das questões relacionais, seguindo um caminho de construção coletiva e de menor atenção à empresa isoladamente. A contribuição do artigo está em apontar a consolidação do campo das capacidades dinâmicas e suas tendências, ampliar a compreensão dos principais elementos envolvidos no desenvolvimento dessas capacidades e definir seus conceitos originais e atuais, bem como oferecer uma possível agenda para futuras pesquisas. Este artículo pretende mapear cómo se ha desarrollado el campo de las capacidades dinámicas desde los artículos de Teece et al. (1997) y Eisenhardt y Martin (2000). Identificamos 10.838 artículos y utilizamos el algoritmo de asignación latente de Dirichlet para el modelado de temas. Realizamos dos tipos de análisis: el primero, basado en la temporalidad y características de los estudios; y el segundo, en la red de conceptos teóricos establecidos. Los resultados indican que existe aproximación entre las ideas de dos artículos seminales que inicialmente se veían como opuestas.Observamos un movimiento hacia la valoración de las cuestiones relacionales, siguiendo un camino de construcción colectiva y prestando menos atención a la empresa de forma aislada. El artículo contribuye a: señalar la consolidación del campo de las capacidades dinámicas; comprender los principales elementos involucrados en el desarrollo de las capacidades dinámicas; definir sus conceptos originales y actuales; e indicar las tendencias en el campo y una posible agenda para futuras investigaciones.

Background: Psychological First Aid (PFA) is practiced worldwide. This practice in English is guided through a small collection of training manuals. Despite ubiquitous practice and formal training materials, little is known about what topics are covered and in what depth in these influential manuals. As such, we analyzed the topic structure of these training manuals. Objective: To model the PFA manuals' topics with the goal of identifying a set of topics with recurrent themes and evaluating the extent to which each manual demonstrated those themes. Method: This machine learning study employed an unsupervised topic modelling design using Latent Dirichlet Allocation. The variables are (1) the distribution of a word across documents and (2) the distribution of a word across topics. The level of measurement for all variables is continuous. The unit of analysis is words. Preprocessing and data analysis were carried out using the Orange Data Mining Toolbox (Demšar et al., 2013 ). This programme is a Python GUI. Results: Results indicated a ten-topic structure to the universe of the English PFA training manuals. These topics were: (1) Refugees, (2) Orientation Activities, (3) Community-Based Applications, (4) PTSD & Other Psychological Issues, (5) Training Materials, (6) Specific Helper Instructions, (7) PFA Scholarship, (8) MHPSS, (9) General Curriculum, and (10) Australian Specific Delivery. The depth of discourse on each topic varied widely between manuals. Conclusions: The Academics of the PFA topic shows a strong representation of the corpus and suggests current training manuals have stayed true to its evidence-supported practice. The topic of Community-Based Applications strongly represents the corpus and suggests that training models incorporate community-based applications. The scientific foundation and practical implementation of the training guides are essential elements. Limitations and implications were also discussed. Little is known about what topics are covered and in what depth in the influential PFA English manuals. We conducted a topic modelling study using Latent Dirichlet Allocation, aiming to discover a set of topics with recurring themes and analyze the degree to which each manual exhibited those topics. Results indicated a 10-topic structure to the universe of the English PFA training manuals. The training manuals' scientific basis and practical application are key components, while notable gaps presented.

Violence against women and girls (VAWG) is not a recent phenomenon. What is new is the additional increasing threats that millions of women and girls face because of the rapid spread of ICTs and the expansion of social media. Cases of VAWG wherein ICT and social media are used as platforms by cybercriminals can be seen in the news media coverage. This study aims to understand and determine the trend and the state of cyber VAWG to raise awareness through mining online news websites. News articles were scraped from popular news websites between 2015 to 2020. The preprocessed articles (N=3,506) were analyzed by year using the Topic Keyword Model (TKM). It was observed that the cyber VAWG articles topic trends are increasing with most of the articles focusing on the topics \"Online sexual exploitation and sexual abuse of children\" and \"ICT-related violations of privacy\". Text mining methods may address the limitations of traditional qualitative approaches. Understanding the cyber VAWG issues by mining news articles is a novel approach that could help create programs and policies to address this societal concern. Additional studies should be conducted related to sentiment analysis of news data to verify and measure the influence of cyber VAWG-related topics.