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Purpose – Drawing on a study of data extracts ‘mined’ from the Internet without interaction with the author, this chapter considers the emotional implications of online ‘participant absent research’. The chapter argues that researchers should reflexively consider the ways in which data collection techniques framed as ‘passive’ actively impact on researchers’ emotional lifeworlds. Consequently, it is important to ensure that researchers are adequately prepared and supported.

Methodology/Approach – The data introduced in this chapter were constructed around a single case study. This example documents an incident where a woman was asked to leave a sports shop in the UK because she was breastfeeding. Not allowing breastfeeding within a business is illegal in the UK, and this case resulted in a protest. The study involved an analysis of user-generated data from an online news site and Twitter.

Findings – Drawing on field notes and conversations with colleagues, the chapter explores the value of reflexivity for successfully managing researchers’ emotional responses to disturbing data during the process of analysis.

Originality/Value – Whilst the role of emotion is often considered as part of ethnographic practice in studies utilising face-to-face encounters, it is underexplored in the online domain. This chapter presents, through a detailed example, a reflective account of the emotion work required in participant absent research, and offers strategies to reflexively manage emotions.

On April 4, 2007, Don Imus, one of the company&s most popular talk show personalities made comments on the air regarding the Rutgers women&s basketball team. According to the transcription from Media Matters for America, Imus said, “ That&s some nappy-headed hos there. I&m gonna tell you that now, man, that&s some … woo. And the girls from Tennessee, they all look cute, you know, so, like … kinda like … I don&t know.” At first, the comments did not seem out of the ordinary for one of radio&s “shock jocks.” However, as the public reaction grew, the situation changed considerably. Under pressure from the public, Moonves reluctantly suspended Imus. But it was too little too late. By the end of the day on April 11, analysts estimated that $2.5 million in advertising revenue was lost. On April 12, Moonves terminated Don Imus& contract.

After Moonves fired Imus, there was still a lot to consider. He really wanted a way for the company to meet the demands of the company&s stakeholders. In addition, he wanted to avoid any more distractions from the firm&s normal day-to-day operations.

The purpose of this paper is to bridge a gap in knowledge on the professional information practices of a group of people whose daily work of managing user-generated content online exposes them to users whom they perceive as acting aggressively or otherwise offensively online.

Journalists’ narratives of practices for managing and responding to user comments perceived as offensive are analysed qualitatively. For this purpose, ten interviews with journalists from nine different news organisations in Sweden, Denmark, Germany and Canada were conducted.

The study finds that the environment in which the journalists work plays a vital role in the evolution of the practices. Practices, indissolubly tied to the contexts or sites in which people’s activities take place, are conditioned by moral values, traditions and collective experiences which journalists enact through the practice they engage in when they are dealing with user posts online. The site, conceived as an information landscape, is that of the newsroom. Practices for managing users online evolve through actors participating in a process of learning and their ability to adopt the cultural norms and values of their environment.

This study sheds light on the mechanisms behind the evolution of practices for handling user-generated content online and it reports on the importance of properties such as norms, values and emotions for how things are done in the information landscape of news journalism.

The purpose of this research is to identify and describe the impact of comment spam in library blogs. Three research questions guided the study: current level of commenting in library blogs; librarians' perception of comment spam; and techniques used to address the comment spam problem.

A quantitative approach is used to investigate research questions. Informal interviews were conducted with four academic and three public libraries with active blogs to develop a better understanding of the problem and then to develop an appropriate data collection instrument. Based on the feedback received from these blog administrators, a survey questionnaire was developed and then distributed online via direct e‐mailing and mailing lists. A total of 108 responses were received.

Regardless of the library type with which blogs were affiliated with and the size of the community they served, user participation in library blogs was very limited in terms of comments left. Over 80 percent of libraries reported receiving five or fewer comments in a given week. Comment spam was not perceived to be a major problem by blog administrators. Detection‐based techniques were the most commonly used approaches to combat comment spam in library blogs.

The research focuses on the comment spam problem in blogs affiliated with libraries where the library is responsible for content published on the blog. The comment spam problem is investigated from the library blog administrator's perspective.

Results of this study provide empirical evidence regarding level of commenting and the impact of comment spam in library blogs. The results and findings of the study can offer guidance to libraries that are reconsidering whether to allow commenting in their blogs and to those that are planning to establish a blog to reach out to their users, while keeping this online environment engaging and interactive.

The study provides empirical evidence that level of commenting is very limited, comment spam is not regarded as an important problem, and it does not interfere with the communication process in library blogs.

This chapter examines the educational perspective of three black, female graduate students within the context of a social justice framework. The US educational system has a long history of racial discrimination, which has created an environment that is in many ways hostile to those who are different. For many students of color, negotiating this culturally hostile environment can lead to feelings of invisibility and isolation. This chapter explores these dynamics and their impact upon an individual’s educational, social, and personal development from the perspective of nondominants in a dominant culture. Through the exploration of our own experiences, we highlight the various coping mechanisms employed by three minority students to deal with the socially constructed hierarchies that exist in the classroom environment as a result of differences across racial and gender lines. It is our hope that this chapter will provide insight to educators who desire to develop a well-balanced classroom experience for all students.

The purpose of this paper is to explore the spillover effects of offensive commenting in online community from the lens of emotional and behavioral contagion. Specifically, it examines the contagion of swearing – a linguistic mannerism that conveys high-arousal emotion – based upon two mechanisms of contagion: mimicry and social interaction effect.

The study performs a series of mixed-effect logistic regressions to investigate the contagious potential of offensive comments collected from YouTube in response to Donald Trump’s 2016 presidential campaign videos posted between January and April 2016.

The study examines non-random incidences of two types of swearing online: public and interpersonal. Findings suggest that a first-level (a.k.a. parent) comment’s public swearing tends to trigger chains of interpersonal swearing in the second-level (a.k.a. child) comments. Meanwhile, among the child-comments, a sequentially preceding comment’s swearing is contagious to the following comment only across the same swearing type. Based on the findings, the study concludes that offensive comments are contagious and have impact on shaping the community-wide linguistic norms of online user interactions.

The study discusses the ways in which an individual’s display of offensiveness may influence and shape discursive cultures on the internet. This study delves into the mechanisms of text-based contagion by differentiating between mimicry effect and social interaction effect. While online emotional contagion research to this date has focused on the difference between positive and negative valence, internet research that specifically looks at the contagious potential of offensive expressions remains sparse.

The study aimed to understand the significance of how employee personhood and the act of speaking up is shaped by factors such as employees' professional status, length of employment within their hospital sites, age, gender and their ongoing exposure to unprofessional behaviours.

Responses to a survey by 4,851 staff across seven sites within a hospital network in Australia were analysed to interrogate whether speaking up by hospital employees is influenced by employees' symbolic capital and situated subjecthood (SS). The authors utilised a Bourdieusian lens to interrogate the relationship between the symbolic capital afforded to employees as a function of their professional, personal and psycho-social resources and their self-reported capacity to speak up.

The findings indicate that employee speaking up behaviours appear to be influenced profoundly by whether they feel empowered or disempowered by ongoing and pre-existing personal and interpersonal factors such as their functional roles, work-based peer and supervisory support and ongoing exposure to discriminatory behaviours.

The findings from this interdisciplinary study provide empirical insights around why culture change interventions within healthcare organisations may be successful in certain contexts for certain staff groups and fail within others.

This paper aims to propose an approach for hate speech detection against politicians in Arabic community on social media (e.g. Youtube). In the literature, similar works have been presented for other languages such as English. However, to the best of the authors’ knowledge, not much work has been conducted in the Arabic language.

This approach uses both classical algorithms of classification and deep learning algorithms. For the classical algorithms, the authors use Gaussian NB (GNB), Logistic Regression (LR), Random Forest (RF), SGD Classifier (SGD) and Linear SVC (LSVC). For the deep learning classification, four different algorithms (convolutional neural network (CNN), multilayer perceptron (MLP), long- or short-term memory (LSTM) and bi-directional long- or short-term memory (Bi-LSTM) are applied. For extracting features, the authors use both Word2vec and FastText with their two implementations, namely, Skip Gram (SG) and Continuous Bag of Word (CBOW).

Simulation results demonstrate the best performance of LSVC, BiLSTM and MLP achieving an accuracy up to 91%, when it is associated to SG model. The results are also shown that the classification that has been done on balanced corpus are more accurate than those done on unbalanced corpus.

The principal originality of this paper is to construct a new hate speech corpus (Arabic_fr_en) which was annotated by three different annotators. This corpus contains the three languages used by Arabic people being Arabic, French and English. For Arabic, the corpus contains both script Arabic and Arabizi (i.e. Arabic words written with Latin letters). Another originality is to rely on both shallow and deep leaning classification by using different model for extraction features such as Word2vec and FastText with their two implementation SG and CBOW.

Like “second hand smoke,” the harmful repercussions of racial harassment may extend well beyond the target to impact others at work. This study seeks to examine the “second hand smoke effect”, or ambient racial harassment, which involves exposure to racial harassment aimed at others. The paper examines race differences in awareness of racial harassment and explored work and health‐related outcomes associated with exposure to racial harassment. It also examines organizational tolerance for harassment as a moderator of these relationships.

A diverse sample of 245 employees from three data sources were surveyed. One data source involved White and Black employees in the same organization; the others worked in a variety of organizations across the USA.

Whites were less likely than Blacks to be aware of racial harassment, even when employed in the same workplace. However, awareness of racial harassment predicted negative job attitudes and psychological strain for both Whites and Blacks. These relationships were amplified by perceptions of organizational tolerance for racial harassment.

The study documents ramifications of ambient racial harassment and illuminates a racial divide in awareness of harassment at work that may exacerbate racial conflict and prevent needed organizational change.

The paper extends the construct of ambient racial harassment by measuring a range of overt and subtle forms that vary in type and intensity, and by examining the role of organizational tolerance for racial harassment as a moderator of the relationship between ambient racial harassment and work and health‐related outcomes.

Cyberbullying is a globally pervasive problem and not novel in academia. Previous studies mainly focussed on the features, consequences and technological management of cyberbullying. However, most of the studies took cyberbullying examples in the West, and some issues still need to be addressed in the Chinese context. Thus, this study investigates how participants use cyberbullying words and why they use them in that particular way in China.

This study uses content analysis to summarise the typical features of cyberbullying words, revealing a positive relationship between cyberbullying words and sentimental expressions. This paper also uses the questionnaire (N = 705) to explore the prevalence of cyberbullying among Chinese Internet users and to compare the gender differences in the cognition of cyberbullying words and involvement in cyberbullying, in line with the social cognitive theory.

This study stated that people prefer repetitively using offensive words to achieve cyberbullying goals. Interestingly, this study does not find obvious gender differences in cyberbullying roles and cyberbullying language use. However, it explained the relationship between cognition and the use of cyberbullying words from a gender perspective.

Theoretically, this study expands cyberbullying studies into a new cultural environment, pointing to a novel term, “imbalanced relation,” for exploring cyberbullying behaviours. This study highlights the significance of technology and education in detecting and preventing cyberbullying, suggesting that educators and social media platforms can directly predict and prevent cyberbullying through textual perspectives and individuals' cognition of cyberbullying.

This study aims to examine cyberbullying linguistic and emotional features and individual differences in cyberbullying behaviour in a high-context culture like China. Its values include comparing the differences between cyberbullying in China and cyberbullying in the West from the linguistic and cultural directions and reconsidering the “power imbalance” feature of cyberbullying.