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Various mass shooters have explained their violent actions as a response to failing at dominant forms of masculinity, including rejection from women and negative social comparisons to other men. The affect control theory of self (ACT-Self) posits that interactions that violate one's sense of self cause inauthenticity. This disequilibrium motivates behaviors that restore self-meanings, which may partially explain the link between challenges to the self and compensatory violence.

In Study 1, we use ACT-Self to examine the relationship between inauthenticity, violent fantasies, and physical aggression in the autobiography of one mass shooter. We quantify self-sentiments and inauthenticity using ACT-Self measures and methods, and perform a thematic analysis of the shooter's interpretations of and responses to disconfirming events. In Study 2, we examine the relationship between these same concepts in a survey of 18-to-32-year-old men (N = 847).

Study 1 shows that the shooter's inability to achieve popularity, wealth, sex, and relationships with beautiful women (compared to other men) produced inauthenticity that he resolved through violent fantasies, increasingly aggressive behavior, and ultimately, mass violence. Study 2 finds that inauthenticity arising from reflected appraisals from women predicts self-reported violent fantasies and physical aggression in a convenience sample of men in emerging adulthood.

This work leverages a formal social psychological theory to examine the link between self-processes and violence. Our findings suggest that men's inauthenticity, particularly produced by reflected appraisals from women, is positively associated with violent fantasies and acts. Further work is needed to assess whether this relationship is causal and for whom.

Marketing scholars have begun to look at negative emotions that young consumers could develop toward brands, such as brand hate. Brand hate has experienced exponential growth during the past decades in the cosmetic industry. In this frame, the purpose of this paper is to identify the weight of each of the five key drivers of brand hate and to analyze if these weights are the same (or not) for drugstore and luxury make-up brands regarding.

To carry on this paper, brand haters in the make-up industry were contacted with the help of cosmetic influencers. Participants of the online questionnaire (N = 162) were existing young makeup consumers. They were divided into drugstore and luxury makeup brand haters by classifying their identified hated brands into either group.

The authors’ results showed, first, that experiential, identity, moral, deficit-value and advertising avoidance all had a positive effect on brand hate, being identity avoidance the strongest one. Second, drugstore and luxury makeup brand haters do not differ, as far as no differences were identified in the strength of each avoidance type on brand hate.

There is a gap in the literature related to the absence of work investigating brand hate in the make-up industry; moreover, studies measure whether brand hate drivers are the same (or not) for luxury brands and drugstore brands that compete in the same arena. In this framework, this research will provide a specific industry context involving young consumer opinions. Research into consumer–brand relationships has been largely focused on the positive forms, while the negative forms are still a relatively newer area of academic interest. Even more, brand hate has been investigated from a multidimensional approach linking proposals from different authors has been tested.

This study provides an overview of the application of sentiment analysis (SA) in exploring social movements (SMs). It also compares different models for a SA task of Algerian Arabic tweets related to early days of the Algerian SM, called Hirak.

Related tweets were retrieved using relevant hashtags followed by multiple data cleaning procedures. Foundational machine learning methods such as Naive Bayes, Support Vector Machine, Logistic Regression (LR) and Decision Tree were implemented. For each classifier, two feature extraction techniques were used and compared, namely Bag of Words and Term Frequency–Inverse Document Frequency. Moreover, three fine-tuned pretrained transformers AraBERT and DziriBERT and the multilingual transformer XLM-R were used for the comparison.

The findings of this paper emphasize the vital role social media played during the Hirak. Results revealed that most individuals had a positive attitude toward the Hirak. Moreover, the presented experiments provided important insights into the possible use of both basic machine learning and transfer learning models to analyze SA of Algerian text datasets. When comparing machine learning models with transformers in terms of accuracy, precision, recall and F1-score, the results are fairly similar, with LR outperforming all models with a 68 per cent accuracy rate.

At the time of writing, the Algerian SM was not thoroughly investigated or discussed in the Computer Science literature. This analysis makes a limited but unique contribution to understanding the Algerian Hirak using artificial intelligence. This study proposes what it considers to be a unique basis for comprehending this event with the goal of generating a foundation for future studies by comparing different SA techniques on a low-resource language.

Gender-diverse people experience unique cultural and interpersonal stigma in mainstream society and sometimes within their own communities; they face allegations of inauthenticity based on their nonconformity to either cisnormative or transnormative gender regimes. Based on 21 in-depth life history interviews, we unveil the intricate interactional process of negotiating identity and authenticity in the biographical work of gender-diverse individuals. In this study, gender-diverse people engaged in a “gender audit” with their gender-diverse interviewer. Gender audits yield verbal performances of gender with oneself and others. Ambiguity was “accounted for” or “embraced and created” in their biographical work to organize their life stories and undermine binary essentialism – a discourse that was “discursively constraining.” Gender audits took place in participants' day-to-day lives, either through self-audits, questioning from others, or both. In the final analysis, we assert that we all engage in gender auditing. Gender audits are intersubjective sites of domination, subordination, resistance, and social change. Gender diversity, then, can be viewed as a product of gender in flux.

Sentiment analysis is a text analysis method that is developed for systematically detecting, identifying, or extracting the emotional intent of words to infer if the text expresses a positive or negative tone. Although this novel method has opened an exciting new avenue for organizational research – mainly due to the abundantly available text data in organizations and the well-developed sentiment analysis techniques, it has also posed a serious challenge to many organizational researchers. This chapter aims to introduce the sentiment analysis method in the text mining area to the organizational research community. In this chapter, the authors first briefly discuss the central role of sentiment in organizational research and then introduce the traditional and modern approaches to sentiment analysis. The authors further delineate research paradigms for text analysis research, advocating the iterative research paradigm (cf., inductive and deductive research paradigms) that is more suitable for text mining research, and also introduce the analytical procedures for sentiment analysis with three stages – discovery, measurement, and inference. More importantly, the authors highlight both the dictionary-based and machine learning (ML) approaches in the measurement stage, with special coverage on deep learning and word embedding techniques as the latest breakthroughs in sentiment and text analyses. Lastly, the authors provide two illustrative examples to demonstrate the applications of sentiment analysis in organizational research. It is the authors’ hope that this chapter – by providing these practical guidelines – will help facilitate more applications of this novel method in organizational research in the future.

Research indicates a long historical connection between racism and nationalist ideologies. This connection has been highlighted in the resurgence of exclusionary nationalism in recent years, across many multicultural societies. This chapter discusses the notions of race, ethnicity and nation, and critically examines how racism shapes contemporary manifestations of nationalist discourse across the world. It explores the historical role of settler-colonialism, imperial expansions and the capitalist development in shaping the racial/ethnic aspect of nationalist development. Moreover, it provides an analysis of the interconnections between the racialisation of minorities, exclusionary ideologies and the consolidation of ethno-nationalist tropes. This chapter further considers the impact of demographic changes in reinforcing anti-migrant exclusionary sentiments. This is examined in connection with emerging nativist discourse, exploring how xenophobic racism has shaped and is shaped by nostalgic nationalism based on the sanitisation of the legacies of Empire and colonialism.

This research aims to examine some nudges for creating psychological ownership in order to reduce misbehaviors, consequently encouraging subsequent users to demonstrate stewardship behaviors.

This research examined the sentiment of tweets (Study 1) to explore user experience and conducted two experiments (Studies 2 and 3) to test the hypotheses.

The misbehavior of the previous user in relation to the subsequent user's stewardship behavior was moderated by nudges based on self-investment and local identity. Perceived responsibility mediated the relationship between misbehavior and stewardship behavior as a result of nudges.

The findings of this study provide a framework for the transition from misbehavior to stewardship behavior in PMVs.

Drawing upon social judgment theory, the research examines whether changes in psychological involvement with a sport human brand owing to their sporting success can generate spillover effects on people's national pride, a proxy for the collective level of well-being and whether the individual's behavioral engagement in sport spectating will moderate this relationship.

Leveraging a quasi-natural experiment grounded in the 2021 Indian Premier League championship, the authors solicit responses from 296 representative individuals residing in India twice using a two-wave panel design. The authors conducted confirmatory factor analysis, repeated measures T-test, latent change score analysis, and structural regression analysis to examine the relationship between psychological involvement with sport human brand and national pride.

The results demonstrate a positive association between psychological involvement with sport human brand and national pride. Further, the findings indicate that an increase in psychological involvement with sport human brand was associated with an increase in national pride due to the successful athletic endeavor involving the sport human brand. However, the relationship between psychological involvement with sport human brand and national pride was invariant irrespective of patrons' spectatorship behavior.

This research demonstrates that sport human brands possess transformative soft power that extends their prerogative cultural identity personified by their athletic ability and success, allowing them to shape public sentiments of national pride via their profound influence through and beyond the complex network of brand ecosystems.

Drawing on theories of organisational identity, social exchange and stakeholder engagement, this study aims to investigate the processes and practices involved in the formation and shaping of identities of social enterprises (SEs) that operate in the Malawian hospitality and tourism industry.

Drawing on an interpretive research paradigm, data collected from 22 semi-structured interviews with four founders of case SEs and stakeholders, and SEs’ reports and other publicly available documents were generated and analysed following a grounded theory approach.

The authors show that the trajectory SEs followed and the exchanges that occurred with the external stakeholders allowed three out of four case SEs to swiftly re-evaluate their pre-existing identities and work towards the formation of their new identities.

This study provides an opportunity for policymakers and other actors in developing countries to frame and place SEs in line with the wider societal realities in such contexts. This may in turn call for policymakers to increase actors’ engagement with SEs and provide the necessary support that can allow SEs to be an effective force for the public good.

This paper highlights the role of exchanges with external stakeholders in identity formation and shaping within SEs in the hospitality and tourism sector in the context of institutional voids. By adopting the social exchange theory, this paper introduces a dynamic lens to identity formation and shaping and helps to explain how, across different tourism ventures, stakeholder engagement and different modes of exchange unfold in the inter-organisational and community domains. It further shows how the ventures’ value orientations on the one hand, and stakeholder engagement practices and the ensuing exchanges, on the other hand, are closely interwoven.

The purpose of this chapter is to provide a comprehensive analysis of how sentiments may be a part of, or adjacent to, status generalization. We demonstrate why this problem is so difficult to solve definitively, as many resolutions may exist. Sentiments may present the properties of graded status characteristics but may also be disrupted by processes of the self. Sentiments may have status properties enacted within dyadic interactions. However, sentiments may also be status elements during triadic constellations of actors. Finally, we discuss current research that is underway to provide more empirical evidence to offer confirmation or disconfirmation for some of our proposed models.

We provide a synthesis of literatures, including pieces from group processes, neuroscience, psychology, and network scholarship, to address the relation between sentiment and status processes. Accordingly, this is a conceptual chapter.

We attempt to motivate future research by exploring the many complications of examining these issues.

Understanding how social inequalities may emerge during group interaction allows researchers to address their deleterious effects. Positive sentiments (in other words, “liking”) should bring actors closer together to complete tasks successfully. Ironically, when paired with negative sentiments within task groups, inequalities in group opportunities may result. To address these social inequalities, a thorough understanding of how they develop is necessary, so that efficacious interventions can be adopted.

This deep dive into the relation between sentiment and status processes joins the 25-year quest to understand the issues surrounding this relationship.