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This article presents two Brazilian Portuguese corpora collected from different media concerning public security issues in a specific location. The primary motivation is supporting analyses, so security authorities can make appropriate decisions about their actions.

The corpora were obtained through web scraping from a newspaper's website and tweets from a Brazilian metropolitan region. Natural language processing was applied considering: text cleaning, lemmatization, summarization, part-of-speech and dependencies parsing, named entities recognition, and topic modeling.

Several results were obtained based on the methodology used, highlighting some: an example of a summarization using an automated process; dependency parsing; the most common topics in each corpus; the forty named entities and the most common slogans were extracted, highlighting those linked to public security.

Some critical tasks were identified for the research perspective, related to the applied methodology: the treatment of noise from obtaining news on their source websites, passing through textual elements quite present in social network posts such as abbreviations, emojis/emoticons, and even writing errors; the treatment of subjectivity, to eliminate noise from irony and sarcasm; the search for authentic news of issues within the target domain. All these tasks aim to improve the process to enable interested authorities to perform accurate analyses.

The corpora dedicated to the public security domain enable several analyses, such as mining public opinion on security actions in a given location; understanding criminals' behaviors reported in the news or even on social networks and drawing their attitudes timeline; detecting movements that may cause damage to public property and people welfare through texts from social networks; extracting the history and repercussions of police actions, crossing news with records on social networks; among many other possibilities.

The work on behalf of the corpora reported in this text represents one of the first initiatives to create textual bases in Portuguese, dedicated to Brazil's specific public security domain.

This chapter is an exploratory study of women’s football in Goa during two defining periods in its history: 1975–1991 and 2017–present. Anchoring the analysis within the intersection of sport, gender, and decolonisation, the chapter aims to address the peripheralisation of women’s sport in academic work on sport in India. Examining the evolution of women’s football in Goa and the multifarious factors that stilted its advancement, this research demonstrates how the systemic challenges that have historically plagued women’s sport continue to hamper its progress. The chapter argues that the professionalisation of women’s sport is indispensable to unlocking its potential and doing justice to the players and other stakeholders who continue to pursue it despite manifold challenges.

This study aims to explore the applications of natural language processing (NLP) and data analytics in understanding large-scale digital collections in oral history archives.

NLP and data analytics were used to analyse the oral interview transcripts of 904 survivors of the Japanese American incarceration camps collected from Densho Digital Repository, relying specifically on descriptive analysis, keyword extraction, topic modelling and sentiment analysis (SA).

The researchers found multiple geographic areas of large residential communities of ethnic Japanese people and the place names of the concentration camps. The keywords and topics extracted reflect the deplorable conditions and militaristic nature of the camps and the forced labour of the internees. When remembering history, the main focus for the narrators remains the redress and reparation movement to obtain the restitution of their civil rights. SA further found that the forcible removal and incarceration of Japanese Americans during Second World War negatively impacted and brought deep trauma to the narrators.

This case study demonstrated how NLP and data analytics could be applied to analyse oral history archives and open avenues for discovery. Archival researchers and the general public may benefit from this type of analysis in making connections between temporal, spatial and emotional elements, which will contribute to a holistic understanding of individuals and communities in terms of their collective memory.

This study examined differences related to gender and racial/ethnic identity among academic researchers participating in the National Science Foundation’s “Innovation-Corps” (NSF I-Corps) entrepreneurship training program. Drawing from prior research in the fields of technology entrepreneurship and science, technology, engineering and mathematics (STEM) education, this study addresses the goal of broadening participation in academic entrepreneurship.

Using ANOVA and MANOVA analyses, we tested for differences by gender and minoritized racial/ethnic identity for four variables considered pertinent to successful program outcomes: (1) prior entrepreneurial experience, (2) perceptions of instructional climate, (3) quality of project team interactions and (4) future entrepreneurial intention. The sample includes faculty (n = 434) and graduate students (n = 406) who completed pre- and post-course surveys related to a seven-week nationwide training program.

The findings show that group differences based on minoritized racial/ethnic identity compared with majority group identity were largely not evident. Previous research findings were replicated for only one variable, indicating that women report lower amounts of total prior entrepreneurial experience than men, but no gender differences were found for other study variables.

Our analyses respond to repeated calls for research in the fields of entrepreneurship and STEM education to simultaneously examine intersecting minoritized and/or under-represented social identities to inform recruitment and retention efforts. The unique and large I-Corps national dataset offered the statistical power to quantitatively test for differences between identity groups. We discuss the implications of the inconsistencies in our analyses with prior findings, such as the need to consider selection bias.

Taking the Mamá Fit memes and other social media eruptions as a starting point and delving deeper into popular print media, this chapter traces the racialized and gendered practices that constitute fitness in El Salvador in a diasporic context. Importantly, the word fit is now often expressed in English, captured in the names of commercial gyms and diet advertisements; the use of this word signals an important cultural change in conventional understandings of the body in a Spanish-speaking society. By charting the emergence of this new health/beauty norm in a transnational domain, this chapter explores the relationship between shifting patterns of gendered body discipline and changes in El Salvador’s location within the global political economy. This chapter argues that fitness discourse has become a subtle, but powerful, conduit for coloniality during a renegotiation of the meaning of gender to fit a neoliberal reality. The argument ends by pointing in the direction of future research to explore how this discourse is experienced in embodied practice with potentially contradictory impacts in Salvadoran society.

This study aims to examine the construction of feminine beauty by onnagata kabuki actors in Japan’s history, with a focus on their narratives in modern advertorials about beauty products. The objective is to identify emerging themes in their narratives and to analyze the symbolism and rhetoric used to persuade the audience to enhance traditional feminine “beauty” by using the specific brand in the wake of Japan’s modernization and Westernization.

The study primarily employs semiotic analysis of advertorials in the newspaper and in the kabuki theatre’s program. They are supplemented with images from premodern prints. Visual content is described and analyzed as well.

The narration of the onnagata in the advertorial is the process of “truth-telling,” where the primary concern of the storyteller is persuasion about truth, such as belief in the new method of makeup with the advertised brand, and falsehood, such as belief in the old method of skincare. Four themes and binary oppositions of values emerged from the data: (1) Identity: selves vs others; (2) Material objects, cosmetics: scientific vs primitive; (3) Practice: competent vs incompetent, and (4) Transformations: intentional vs incidental.

The research shows that Japan’s onnagata transvestism tradition and its influences on women’s beauty practice have existed since the premodern period, preceding contemporary cross-gender beauty practices observed in social media.

Historical newspaper collections provide a wealth of information about the past. Although the digitization of these collections significantly improves their accessibility, a large portion of digitized historical newspaper collections, such as those of KBR, the Royal Library of Belgium, are not yet searchable at article-level. However, recent developments in AI-based research methods, such as document layout analysis, have the potential for further enriching the metadata to improve the searchability of these historical newspaper collections. This paper aims to discuss the aforementioned issue.

In this paper, the authors explore how existing computer vision and machine learning approaches can be used to improve access to digitized historical newspapers. To do this, the authors propose a workflow, using computer vision and machine learning approaches to (1) provide article-level access to digitized historical newspaper collections using document layout analysis, (2) extract specific types of articles (e.g. feuilletons – literary supplements from Le Peuple from 1938), (3) conduct image similarity analysis using (un)supervised classification methods and (4) perform named entity recognition (NER) to link the extracted information to open data.

The results show that the proposed workflow improves the accessibility and searchability of digitized historical newspapers, and also contributes to the building of corpora for digital humanities research. The AI-based methods enable automatic extraction of feuilletons, clustering of similar images and dynamic linking of related articles.

The proposed workflow enables automatic extraction of articles, including detection of a specific type of article, such as a feuilleton or literary supplement. This is particularly valuable for humanities researchers as it improves the searchability of these collections and enables corpora to be built around specific themes. Article-level access to, and improved searchability of, KBR's digitized newspapers are demonstrated through the online tool (https://tw06v072.ugent.be/kbr/).

This paper aims to review the history of Roldós y Compañía, one of the oldest advertising agencies in the world and the oldest currently operating. This research aims to highlight the importance of this agency and its founder, Rafael Roldós Viñolas – the first documented advertising agent in Spain to this day – in shaping the emerging Spanish advertising industry at the end of the 19th century.

The methodology used in this paper is based on a review of period and contemporary literature, as well as on newspaper sources and documents from the private archive of Roldós, S.A.

In its early years, the agency’s participation in two of the most significant events for the modernization of the city of Barcelona, the Universal Exhibition of 1888 and the International Exhibition of 1929; as well as the ideation and implementation of several urban projects with the aim of finding new formulas and advertising media are factors that make it one of the most important in the country. In 1929, the alliance Roldós-Tiroleses, S.A. de Publicidad, the first great merger of advertising agencies in Spain, which lasted three years, was led. The outbreak of the Civil War and the subsequent post-war period marked a few years of business irregularities and advertising silences that gave instability to its activity. During the last third of the 20th century, the agency was immersed in the generalized advertising euphoria around the world. With the arrival of North American agencies in Barcelona and the consequent business movements, Roldós, S.A. specializes in the processing of advertisements and media planning. The 21st century began with important changes in the media planning sector, and the agency was forced to restructure its services and organizational structure. In 2022, it celebrates 150 years of uninterrupted activity, recognized by the country’s business sector.

This research aims to internationalize the history of the Roldós y Compañía agency, so that it can be studied together with other names of Anglo-Saxon advertising pioneers who were contemporaries of Rafael Roldós.

Scientific research on the history of advertising agencies, especially in Spain, is scarce, so this paper aims to help fill this gap.

This chapter argues that football is central to specific regional, hegemonic masculinities within colonial histories and continuities in South India. Through ethnographic narratives of a prominent football figure associated with the Malabar Special Police, this chapter shows how different performances of a particular mode of masculinity draw power from multiple sites such as regional class networks, colonial legacies, and postcolonial sport. This work demonstrates how a (post) colonial space shores up the powers associated with a male sporting figure. The regional format of a sport is as important as the global format in producing regional, hegemonic masculinity. Analysing the powers and aura associated with this sporting figure helps one to understand the specific meanings of desire and aspirations for status and stability among a section of men in a South Indian context.