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Through the prism of intimacy, this chapter discusses how experiences of pain and loss in relation to bereavement by suicide is expressed in the black metal music and lyrics by Danish band Orm. Orm's 2019-album Ir ‘verdigris’, entangles the emotional complex and personal relations to the local, natural surroundings of the island Bornholm, including a named tree and lake, as well as local folklore and Norse mythology. As part of fieldwork, the author muddles with intimacy to define an approach sensitive enough to deal with strong and unspeakable emotions, including the idea of cultural intimacy and public embarrassment related to the issue of suicide. The author also reflects on how my participation in the pain of others informs the interpretation. The chapter suggests that Orm's black metal is doing important pain work, opening to listeners a path towards disembarrassment.

After the extreme turn of the late 1980s and early 1990s of metal music, three northern England-based bands – My Dying Bride and Paradise Lost from Bradford, and Anathema from Liverpool, commonly referred to as ‘the Peaceville Three’ – went on to pioneer the musical style which came to be known as death/doom. Mid-1990s have seen these bands’ stylistic shift into a more gothic rock-influenced sound. This Paradise Lost-led shift gave birth to the style gothic/doom. Around this deviation, these bands also started to employ a different sense, or rather a sense, of locality in their music: Paradise Lost started calling themselves a Yorkshire band, instead of specifically Bradford; Anathema shot a video for their 1995 song ‘The Silent Enigma’ in Saddleworth Moor (historically part of West Riding of Yorkshire) in Manchester; and later, My Dying Bride became more and more ingrained in the Goth culture of Whitby, including releasing an extended-play titled The Barghest o’ Whitby (2011), a Dracula-inspired trail guide, and frequently appearing in festivals in Whitby. This ethnographic research with both musicians and fans further suggests the involvement of the North in making and perception of gothic/doom. Applying Michel de Certau’s idea stating that ‘every story is a spacial practice’ within the context of northern England landscape, gothic/doom metal style emerges as an act of northernness. The author proposes to discuss how this act is performed within these bands’ oeuvre and how it is perceived from the listener perspective using interviews with people from around the world, and musicological analyses of significant songs from the repertoire of this trio.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

This study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.

A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.

The results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.

The primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.

Understanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.

The study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.

This research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.

This chapter offers a mechanism-based explanation of how single-cause oriented protest events are transformed into a mass movement where previously fragmented causes of contention come to be expressed in conjoint action. Drawing on the case of 2013 Gezi protests in Turkey, we map the protest waves and identify two mechanisms that mediate the influence of repression on mobilization of dissent. The first mechanism is the perceived nature of the cause of contention. Repression leads to scale shift (McAdam et al., 2008) in the first wave when exercised over those who protest for an issue perceived to be innocent. The second mechanism is the experience of repression. Boundary deactivation among protesters and the resulting continuity in protest activity follow scale shift in the second and third waves as experience of repression transforms perceptions of those that were previously framed as others. Our analysis relies on data collected via participant observation, in-depth interviews, and an online survey with 1,352 protesters.

This paper aims to examine how socio-economic status (SES) shapes consumers’ purchase behavior of genuine brands and counterfeits. It also forms a typology based on the decision-making processes of these two groups by exploring neutralization processes and emotional outcomes related to their behaviors.

Data are collected through in-depth, semi-structured interviews with 42 users and non-users of counterfeits from different SES groups.

This paper develops a consumer typology based on the customer behavior of counterfeit and genuine brand users, as well as emotional outcomes and neutralization strategies used to justify their actions according to their SES group. These categories are defined as the black chameleons, the counterfeit owners, the genuine brand owners and the authenticity seekers.

This paper contributes to the counterfeit literature by examining the consumption practices of each SES group of users and non-users of counterfeits by focusing on motivations, emotional outcomes and neutralization processes. The study shows how consumers’ end consumption practices and their SES group explains the mix findings on the counterfeit literature.