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Mothers sharing images and information on social media about their children is a contemporary cultural norm. While the practice has been heavily discussed in popular media, there is a lack of empirical research examining the phenomenon from the perspectives of parents and adolescent children in China. The current study aims to find out whether or not mothers and their children engage in discussions about sharenting and how adolescents negotiate their privacy concerns with their mothers.

The current study examined how parents and their children make sense of sharenting via semi-structured interviews with 16 Chinese mothers. In addition, the study enlisted 21 adolescents to examine their perspectives on sharenting. Data were analyzed using thematic analysis.

Results showed that although documentation is articulated as the primary sharenting motivation, identity management is a major drive behind sharenting. The dynamics between mothers and their children, as well as between adolescents and their parents, are also explored regarding the issues of consent, privacy and identity.

This study has theoretical implications for the communication privacy management (CPM) theory, as it underscores the dynamic nature of privacy management, shaped by cultural norms, family dynamics and evolving communication technologies. It also adds value for campaign practitioners to provide education programs on the serious consequences of sharenting.

This research serves as a starting point to further explore a child’s entrance to adulthood as our culture’s first true digital natives who will bear extensive online and offline identities.

Research shows data-informed leadership matters for school improvement and student achievement, but less is known about what motivates leaders’ data use toward such outcomes, particularly in the Catholic school context.

This qualitative interview study uses interview (n = 23) data from a sample of Catholic school leaders to unpack how they conceptualize data, the motivations encouraging their data use and the challenges inhibiting data routines.

Catholic school leaders largely shared a narrow definition of data as quantitative, standardized achievement data, were motivated by a moral imperative to meet students’ needs and faced several common challenges, including time constraints, uncertainty in measurement, limited capacity and resources and issues of turnover at the classroom and school levels.

School leaders can assuage tension around data by broadening the scope of measures and appealing to teachers’ sense of personal responsibility and commitment to students.

These findings extend the research in three ways. They bring to light an important tension between data-informed practice and a whole child approach to education, highlight the possibility of motivating data use through conscience rather than compliance and provide insight into data perceptions in private schools, an understudied context in the literature.

The European Union (EU) and Russia are considered to be trapped into security concerns in a form of spillover, in a zero sum perspective, considering each step of the other as directed against another. Such an approach seems to prevail, after attempts of engagements for decades after the Cold War. Rather history prevailed in informing perceptions and currently driving the behaviors toward each other, in other words in othering each other.

Discourse analysis

The move in Eastern Europe of both parties is perceived with suspicion from both sides, materialized through their policies, culminated in clash of interests and crash of policies between both parts, manifested by Russian aggression in Ukraine in 2014 and recently in 2022 in one side, and the EU response through massive, unprecedented sanctions against Russia. This has created a context that fosters not just keeping a status quo of clash and struggle for influence between them in the region, but also nourishes further securitization of their respective policies toward the Eastern Europe and beyond. In 2014 and more recently in 2022 Russian aggression in Ukraine, the EU and Russia appear to have the same image to each other as they had during the Cold War, or even beyond. Having this in mind, this paper will address those developments, with particular focus on attempts to avoid them, the failure to do so and how they are impacting the EU, Russia and global politics in a form of emerging new world (dis)order.

This paper is an original paper having a critical approach toward the current conflicts going on in Eastern Europe.

This study aims to develop a conceptual model of positive employee experience using sentiment analysis within algorithm-based human resource (HR) strategies. Its goal is to enhance HR professionals’ understanding of employee experiences and enable data-driven decision-making to create a positive work environment, thereby contributing to the originality of HR research.

The study conducts sentiment analysis – a text mining technique – to assess employee reviews and extract distinct positive experience factors. The employed data-driven methodology serves to fortify the reliability and objectivity of the analysis, ultimately resulting in a more refined depiction of the conveyed sentiment.

Utilizing sentiment analysis, the authors identified 135 keywords that signify positive employee experiences. These keywords were then categorized into four clusters aligned with factors influencing employee experience: work, relationships, organizational system and organizational culture, employing an inductive approach. The framework outlines the process of nurturing positive employee experiences throughout the employee life cycle, incorporating insights from the affective events theory and cognitive appraisal theory.

Data-driven insights empower HR professionals to enhance employee satisfaction, engagement and productivity. HR managers implementing AI-assisted HR ecosystems need digital and data science skills. Additionally, these insights can offer practical support in accentuating diversity and ethical considerations within the organizational culture. Candid employee data can enhance leadership and support diversity in organizational culture. Managers play a crucial communication role, ensuring flexible access to personalized HR solutions.

Applying sentiment analysis through opinion mining allows for the collection of unstructured data, reflecting authentic employee perceptions. This innovative approach expedites issue identification and targeted actions, enhancing employee satisfaction. Textual reviews, integral to employee feedback, offer comprehensive insights. Additionally, considering subjectivity and review length in online employee reviews adds value to understanding experiences (Zhao et al., 2019). This study surpasses prior research by directly identifying key factors of employee experience through the analysis of actual employee review texts, addressing a gap in understanding beyond previous attempts.

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.

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.

The metaverse, which is now revolutionizing how brands strategize their business needs, necessitates understanding individual opinions. Sentiment analysis deciphers emotions and uncovers a deeper understanding of user opinions and trends within this digital realm. Further, sentiments signify the underlying factor that triggers one’s intent to use technology like the metaverse. Positive sentiments often correlate with positive user experiences, while negative sentiments may signify issues or frustrations. Brands may consider these sentiments and implement them on their metaverse platforms for a seamless user experience.

The current study adopts machine learning sentiment analysis techniques using Support Vector Machine, Doc2Vec, RNN, and CNN to explore the sentiment of individuals toward metaverse in a user-generated context. The topics were discovered using the topic modeling method, and sentiment analysis was performed subsequently.

The results revealed that the users had a positive notion about the experience and orientation of the metaverse while having a negative attitude towards the economy, data, and cyber security. The accuracy of each model has been analyzed, and it has been concluded that CNN provides better accuracy on an average of 89% compared to the other models.

Analyzing sentiment can reveal how the general public perceives the metaverse. Positive sentiment may suggest enthusiasm and readiness for adoption, while negative sentiment might indicate skepticism or concerns. Given the positive user notions about the metaverse’s experience and orientation, developers should continue to focus on creating innovative and immersive virtual environments. At the same time, users' concerns about data, cybersecurity and the economy are critical. The negative attitude toward the metaverse’s economy suggests a need for innovation in economic models within the metaverse. Also, developers and platform operators should prioritize robust data security measures. Implementing strong encryption and two-factor authentication and educating users about cybersecurity best practices can address these concerns and enhance user trust.

In terms of societal dynamics, the metaverse could revolutionize communication and relationships by altering traditional notions of proximity and the presence of its users. Further, virtual economies might emerge, with virtual assets having real-world value, presenting both opportunities and challenges for industries and regulators.

The current study contributes to research as it is the first of its kind to explore the sentiments of individuals toward the metaverse using deep learning techniques and evaluate the accuracy of these models.

The paper reviews Fox’s frames of reference against subsequent changes in the composition of the labour force, shifts in social values and the arrival of the politics of identity.

A close reading of the frames of reference is placed in the context of Fox’s writing on the search for managerial legitimacy. That search is then considered in relation to the subsequent revolution in equal opportunities and contemporary efforts to promote equality, diversity and inclusion (EDI).

At the core of Fox’s frames lies the fundamental question of whether employers accept trade unions as a legitimate expression of employee interests. Changes in the composition of the labour force and the related arrival of identity politics has led to the emergence of a new set of interests based on social identity. These interests exist because of state legislation, social pressure from campaign groups and the awareness of the right to equal treatment regardless of gender, race, sexuality etc. It follows that the emergence of these identity-based interests means that employers are all pluralists now. This new pluralism has the ideological challenge of gaining approval not only from employees but also from the public in a world where errant employers are vulnerable to hashtag activism.

By revisiting Fox’s frames of reference, and emphasizing the role of employee interests, the paper shows that Fox's original insights on managerial authority and the need for “legitimising sentiments” are still relevant even if his frames are now outdated.

In response to the growing significance of diversity advertising, this study aims to investigate its impact on audience connectedness. This is an emerging metric crucial for gauging diversity advertising success. The study explores two paths via self-identification and belief congruence to understand how diversity advertisements resonate with individuals.

A quantitative study using partial least squares with survey data from 505 respondents was conducted.

Self-identification and belief congruence mediate the relationship between perceived diversity and audience connectedness. Belief congruence exhibits a stronger influence. Further, brand engagement reduces the relationship between belief congruence and connectedness. However, it strengthens the relationship between self-identity and connectedness.

Future research should address why belief congruence holds more significance than self-identification. Additionally, research must explore the societal effects of diversity advertising, including strategies to engage those who feel disconnected.

The study underscores the positive social effects of diversity advertising for both marginalized and nonmarginalized audiences. It urges marketers to pursue audience connectedness. Strategies for achieving this include reflecting their target audience’s beliefs, perhaps highlighting real and lived experiences. Marketers should also consider self-identification through visual cues and customized messaging.

The study applies self-referencing theory to unravel the relationship between diversity advertising and audience connectedness. It reinforces the role of self-identification and expands the knowledge by demonstrating how connectedness can emerge through belief congruence. Additionally, the authors explore the subtle influence of brand engagement, a critical brand-related factor that shapes individuals’ responses to diversity advertising.

This case study delves into the evolving landscape of equity, inclusion and diversity (EID) initiatives within the health-care sector, with a specific focus on the “EverybodyIN” program implemented at the Mayo Clinic, a large academic Medical Center in the USA. Against the backdrop of growing awareness catalyzed by societal events, this case study aims to explore the multifaceted aspects of workplace conversations aimed at addressing racial disparities and fostering a more inclusive environment.

The case study relies on the application of critical race theory and a social constructionist approach to investigate the impact of a subset of voluntary educational conversations that were centered on the Black/African-American experience, on staff members’ racial understanding and allyship within the health-care organization. Through thematic analysis of postevent surveys and participant sentiments, three overarching themes emerged: appreciation, education and validation.

Through thematic analysis of postevent surveys and participant sentiments, three overarching themes emerged: appreciation, education and validation. The findings underscore the pivotal role of leadership buy-in, evidence-based practices, health equity and an ongoing commitment to “the journey” in successful EID efforts. The results highlight the significance of integrating EID into health-care organizations as a continuous endeavor that aligns with organizational values and mission.

The findings underscore the pivotal role that theory and practice play through a newly described framework that includes leadership buy-in, evidence-based practices, health equity and an ongoing commitment to “the journey” for successful EID efforts.

The results highlight the significance of integrating EID into health-care organizations as a continuous endeavor that aligns with organizational values and mission.

By fostering a safe and informed space for dialogue, organizations can empower staff to engage authentically and acquire cultural competence that may contribute to advancing health equity.