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This chapter introduces the issue of language into the already complex nature of e-HRM system implementation in multinational corporations (MNCs). In the light of scant empirical research on language in international business in general and e-HRM in particular, this chapter reviews the research on language issues in the MNC context. The chapter then illustrates the challenges presented by language by reporting findings from a qualitative study into the effects of language standardization on e-HRM system acceptance and use in the foreign subsidiaries of a Finnish MNC.

The impact of technology on the health and well-being of workers has been a topic of interest since computers and computerized technology were widely introduced in the 1980s. Of recent concern is the impact of rapid technological advances on individuals’ psychological well-being, especially due to advancements in mobile technology that have increased many workers’ accessibility and expected productivity. In this chapter we focus on the associations between occupational stress and technology, especially behavioral and psychological reactions. We discuss some key facilitators and barriers associated with users’ acceptance of and engagement with information and communication technology. We conclude with recommendations for ongoing research on managing occupational health and well-being in conjunction with technological advancements.

Purpose: The study makes use of situational crime prevention framework for analyzing online community reactions to the banning of deepfake pornographic content from Reddit.

Methodology/approach: Qualitative text analysis of user comments posted to Reddit’s rule-change announcement (N = 582) was carried out. Analysis relied on the original 25 techniques of situational crime prevention that were adapted into a table of activities and mechanisms meant specifically for use with online platforms.

Findings: Analysis indicates that Reddit users voiced several shortcomings that are currently present in Reddit’s platform management approach. In particular, users emphasized issues related to the lack of a consistent and transparent approach to community rule enforcement, as users believed the rule changes to be sudden and poorly reasoned. The general reactionary nature of Reddit’s approach to moderating community-harming actions also was a point of emphasis, alongside the platform’s continued rigid stance on freedom of expression, even with regard to illegal and demeaning content. Regarding Reddit and the new rules on involuntary pornography and the sexualization of minors, enforcement of sitewide policy appears contingent on external influences, such as attention from mainstream media or financial matters, rather than stemming from an inherent stance on decreasing community-harming activities.

Research limitations: The study only pertains to a specific rule change by Reddit and subsequent reactions from the platform’s community. Future research is needed to test the applicability of the adapted table of 25 techniques of situational crime prevention in the context of other online platforms.

Originality/value: First, the study applies the situational crime prevention approach in the context of moderating online platforms. Second, results from the study shed light on current practices in online content moderation from the perspective of criminological theory, as well as inform specific actions that can be taken to decrease the presence of community-harming phenomena and improve the enforcement of sitewide policy rules in general. Finally, by adapting the original 25 techniques of situational crime prevention to online content moderation, the study suggests a tentative roadmap for similar research in the future.

Iran is considered an emerging destination that remains largely under-toured, even as the recent lifting of strict economic sanctions and new international agreements is making it easier to obtain a visa-on-arrival. The Facebook page “See You in Iran” is used to promote the destination and communicate the “real” image of Iran (with numerous updates daily), with semblances of authenticity portrayed through user-generated content (UGC). UGC allows people to post and explore new places, and to interact with those who have just visited. This chapter assesses UGC using an interpretative framework: authentic inquiry (the need for unknown insight into a new awareness), authentic encounter (through relationships, connections, communitas, and belonging), and authentic production (based on feelings, emotions, and sensations).

This chapter investigates the behavior of Reddit’s news subreddit users and the relationship between their sentiment on exchange rates. Using graphical models and natural language processing, hidden online communities among Reddit users are discovered. The data set used in this project is a mixture of text and categorical data from Reddit’s news subreddit. These data include the titles of the news pages, as well as a few user characteristics, in addition to users’ comments. This data set is an excellent resource to study user reaction to news since their comments are directly linked to the webpage contents. The model considered in this chapter is a hierarchical mixture model which is a generative model that detects overlapping networks using the sentiment from the user generated content. The advantage of this model is that the communities (or groups) are assumed to follow a Chinese restaurant process, and therefore it can automatically detect and cluster the communities. The hidden variables and the hyperparameters for this model are obtained using Gibbs sampling.

While social media data are used increasingly in studies of social movements, social media evolves far more rapidly than academic research and publication. This chapter argues that researchers should adopt historical and archival approaches to social media data. Treating social media data as an “instant archive” – one that is self-curated, is co-constituted, and changes rapidly – we caution researchers to pay attention to the features of this archive and their implications for working with the data therein. Applying insights from recent discussions of archival methods for social science research to the specific features of social media data, we explore how platform features, repressive effects, and user innovations affect the content of the instant archive. We then offer strategies for researchers' methodological approaches, including how best to select units of analysis and platforms, how to collect and interpret archival materials, and how to identify silences in the data.

This chapter asks: How do Internet users react to COVID-19 conspiracy theories spread on social media? It presents the findings of a content analysis and critical discourse analysis of user comments collected from social media postings that advance COVID-19 conspiracy theories. A total of 2,847 comments made to seven social media postings whose authors support COVID-19 conspiracy theories were collected, coded and analysed.

The analysis shows the contested character of the communication of COVID-19 conspiracy theories and the role of the friend/enemy scheme, verbal attacks, violent threats, satire and humour in such communication processes.