Digital technology is driving the transformation of cultural heritage communication towards interactive, experiential digital storytelling. The "generational gap" between young people and traditional culture, along with the risk of cultural content weakening in digital communication, makes it an important issue to explore how digital storytelling can revitalize cultural heritage and build deep cultural identity among youth. This paper takes the "Cloud Tour Dunhuang" mini-program as a case study and, based on the Lasswell 5W model, systematically analyzes its digital storytelling practice from five dimensions: communication subject, content, channel, audience, and effect. The study finds that the mini-program effectively promotes youth cultural identification on cognitive, emotional, and behavioral levels through implicit authority of the subject, contextualized content, lightweight channels, and audience participatory design using multimodal storytelling. However, it also has limitations such as superficial narrative, insufficient multimodal coordination, and a lack of deep audience engagement. Based on this, the paper suggests strengthening the systematic design of cultural depth, enhancing deep multimodal integration, and guiding deep audience participation to balance technological interaction with cultural content transmission, promoting the transformation of youth from shallow experiences to deep cultural identification.

Information globalization has fundamentally transformed the structure and practice of political communication in contemporary democracies. Rapid, cross-border digital information flows mediated by global media platforms have weakened the capacity of states and political parties to control public narratives. Political communication no longer operates within centralized and hierarchical spaces, but rather within fragmented and competitive digital public spheres. This study aims to analyze how the Golkar Party, as an established political party, conducts political communication in the context of information globalization and the weakening role of the state. This research employs a qualitative approach within a constructivist paradigm using a case study design. Data were collected through in-depth interviews with local Golkar Party elites and document analysis, and analyzed using critical discourse analysis. The findings indicate that Golkar’s political communication functions as a process of mediated meaning negotiation within digital media environments. Political power is no longer derived solely from formal institutional structures, but increasingly depends on media visibility and public trust. The Golkar Party adopts a hybrid political communication strategy by combining organizational structures with adaptive digital communication practices. This study concludes that political communication of established parties in the era of information globalization should be understood as a dynamic and relational arena of mediated power, where political legitimacy is continuously negotiated within digital public spaces.

Purpose This paper aims to explore strategies for fostering emergent resilience in employees within global digital business communication. As organizations increasingly rely on digital technologies, workforce adaptability and resilience become essential for maintaining competitiveness and efficiency. This study integrates theoretical perspectives with practical applications to develop a framework that enhances workforce resilience amid technological change and globalization. Design/methodology/approach This conceptual paper applies three key theoretical frameworks: Social Learning Theory, the Technology Acceptance Model (TAM) and Diffusion of Innovations Theory. By analyzing how employees learn, adopt and integrate digital communication technologies in the workplace, this study synthesizes recent literature to identify effective training programs, digital literacy strategies and leadership approaches that support resilience. Findings The analysis highlights the importance of adaptive training programs, digital literacy development and leadership support in fostering resilience. Key findings indicate that mentorship, experiential learning and a culture of continuous upskilling contribute to employee adaptability. Challenges such as digital skill gaps, generational differences in technology adoption and resistance to change are addressed with targeted training strategies. Originality/value This paper contributes to the discourse on workforce resilience by offering a theoretically grounded and practically applicable framework for training employees in global digital business communication. By bridging theoretical models with real-world applications, it provides valuable insights for organizational leaders, HR professionals and training specialists seeking to develop adaptable and competitive workforces in an increasingly digitalized global economy.

In the context of digital transformation and increasing competition in the fashion industry, intangible factors play a growing role in shaping brand equity. Cultural symbols, values, and narratives constitute important elements of communication strategy that influence brand perception and the nature of audience interaction. The purpose of this study is to examine the relationship between the cultural intensity of digital brand content, audience engagement in social media, and an integrated brand equity index. Cultural intensity is interpreted as a structured set of symbolic, narrative, and collaborative elements represented in a brand’s digital communications. The research is based on a combination of content analysis of social media publications and the calculation of audience engagement indicators. The empirical sample includes Ukrainian fashion brands Sleeper and Balykina. The methodology involved analyzing selected publications according to predefined cultural criteria and calculating engagement rate as the ratio of total interactions to the number of followers. To summarize brand characteristics, an integrated brand equity index was constructed based on key parameters reflecting consumer perception, loyalty, innovativeness, and market position. The analytical results suggest a possible association a tendency toward consistency between the intensity of cultural elements in digital content and the level of audience engagement. Brands characterized by more coherent symbolic and narrative communication structures demonstrate higher interaction indicators and a stronger integrated brand equity index. The results are analytical in nature and require further statistical verification. The theoretical contribution lies in clarifying approaches to defining and structuring the cultural dimension of brands in the digital environment. The practical relevance of the study relates to the application of the proposed framework in brand communication management. Future research may expand the sample and apply econometric methods for deeper empirical validation. The integrated brand equity index was constructed using a weighted expert-based evaluation of ten intangible parameters reflecting brand awareness, loyalty, identity, and market positioning.

Type of the article: Research ArticleAbstractIn the context of Vietnam’s rapidly expanding digital ecosystem, understanding how psychological differences shape brand cognition among Generation Z has become increasingly important. This study aims to examine the influence of the Big Five personality traits on brand awareness across major digital touchpoints, addressing the limited empirical evidence from emerging markets. A quantitative survey was conducted in January 2025 with 898 Gen Z consumers residing in Hanoi and Ho Chi Minh City. Using Cronbach’s Alpha, Exploratory Factor Analysis, and multiple regression, the study assessed the reliability of measurement scales and the effects of personality traits on brand awareness indicators derived from Aaker’s (1991) framework. The findings show that four personality traits – openness, conscientiousness, extraversion, and neuroticism – positively and significantly predict brand awareness on digital platforms (β = 0.171–0.250; p < 0.001). Conscientiousness exhibits the strongest impact (β = 0.250), followed by neuroticism (β = 0.240), extraversion (β = 0.224), and openness (β = 0.171). Agreeableness does not demonstrate adequate construct validity and is excluded from the final model. Additional analyses using ANOVA reveal significant differences in brand awareness across regions but not across genders. These results illustrate that personality-driven tendencies, such as exploratory behavior, systematic information processing, social interaction, and risk-avoidance, play a substantial role in determining how frequently and effectively young consumers encode brand cues in digital environments. The study concludes that integrating personality insights into digital brand communication strategies can enhance relevance, memorability, and consumer-brand alignment, especially within dynamic Gen Z segments.Acknowledgment(s)The researchers express sincere gratitude to all the participants who generously participated in this study.

The growth of live streaming on YouTube has transformed communication patterns into more interactive and participatory forms, making streamers’ communication style a crucial factor in shaping audience satisfaction. This study aims to analyze and empirically examine the effect of streamers’ communication style on audience satisfaction in live streaming. A quantitative approach with an explanatory survey method was employed involving 316 respondents selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed through simple linear regression using IBM SPSS version 25. The results indicate that both the streamer’s communication style and audience satisfaction are categorized as very good. Regression analysis reveals a very strong and significant influence, with a coefficient of determination of 0.904, meaning that 90.4% of the variation in audience satisfaction is explained by the streamer’s communication style. The findings highlight that effective verbal, nonverbal, and interactive communication enhances viewing experience, emotional engagement, and audience loyalty. This study contributes to the development of digital communication research and offers practical implications for streamers in building sustainable relationships with their audiences.

Abstract: This qualitative study examines how faculty members and administrators in Ugandan universities use digital technologies to support teaching, collaboration, and professional development. A total of 34 participants were interviewed to explore their communication practices and the extent to which digital tools facilitate or hinder academic interaction. Thematic analysis identified five key themes. First, Digital Communication Platforms in Teaching highlights the widespread use of informal platforms such as WhatsApp as substitutes for official learning management systems. Second, Communication for Collaborative Learning emphasizes the role of digital tools in promoting intra- and inter-departmental collaboration despite inconsistent platform use. Third, Multimodal Communication Strategies illustrates the use of video, voice notes, and text-based communication to accommodate diverse student needs and technological limitations. Fourth, Communication for Professional Development underscores the importance of peer-led digital resources and informal learning communities in enhancing faculty digital literacy. Finally, Challenges of Effective Communication include digital inequality, information overload, and platform fragmentation. The findings reveal adaptive strategies in response to institutional and infrastructural constraints. While digital tools expand communication opportunities, stronger institutional coordination and policy support are needed to bridge digital divides and optimize their effectiveness in low-resource higher education contexts.

The rise in global digital communication has led to an increase in hate speech and offensive language, posing significant threats to societal well-being. While AI presents cybersecurity challenges, it also plays a crucial role in addressing these issues. Researchers must develop AI with a multidisciplinary approach, mitigating algorithmic misuse and ensuring cybersecurity. This study introduces Tri-Embeddings, an innovative method for detecting abusive language using AI-powered text analysis, applied to Twitter data. The method combines pre-trained models such as Word2Vec, FastText, and Universal Sentence Encoder (USE). Additionally, this study explores the impact of integrating a large language model, DistilBERT, into the proposed unified embedding framework. The findings demonstrate the method’s effectiveness, with high precision, recall, and F1 scores, showing its potential to reduce the spread of offensive and hateful language. This approach helps mitigate ethical breaches and creates a safer, more inclusive online space.

Purpose This study aims to systematically explore the role of social media in shaping Employer Branding (EB) by consolidating existing research. It investigates how social media platforms enhance EB, support talent acquisition, inform digital communication strategies, and interact with moderating or mediating factors influencing employer brand outcomes. Design/methodology/approach A Systematic Literature Review (SLR) methodology, guided by the PRISMA framework, was employed. A comprehensive search in the Scopus database yielded 72 articles, from which 59 peer-reviewed studies were selected based on rigorous inclusion and exclusion criteria. These studies were thematically analyzed across four research questions. Findings The findings reveal that social media significantly enhances EB by signaling organizational values, leveraging employee-generated content (EGC), and facilitating targeted, platform-specific recruitment strategies. LinkedIn, Glassdoor and Instagram emerged as dominant platforms for employer brand positioning. Key communication strategies include authenticity, transparency, employee advocacy, and emotional resonance. The review also identifies critical mediating and moderating factors such as employer attractiveness, person-organization fit, employer reputation, social media use, and value congruence. Despite these advancements, the literature reflects theoretical fragmentation, the methodological dominance of cross-sectional surveys, and limited contextual and cultural variations exploration. Originality/value This review is a comprehensive EB and social media research synthesis. It contributes to theory by integrating diverse conceptual frameworks and identifies research gaps related to longitudinal analysis, geographic diversity, and digital innovation. It provides actionable insights for scholars and practitioners navigating the complexities of digital EB.

Nursing handovers in intensive care units (ICUs) are critical for ensuring continuity of care, patient safety and clinical decision-making. Beyond information transfer, handovers are key moments in which nursing expertise can influence treatment trajectories. However, power relations, communication practices and the visibility of nursing knowledge during handovers remain underexplored, particularly through the lens of critical medical anthropology and the concept of heterotopia. To explore how experienced ICU nurses participate in and influence clinical decision-making through handover practices. This ethnographic study, grounded in a critical medical anthropology approach, was conducted in a general ICU in Greece. Data collection involved overt participant observation and ad hoc ethnographic interviews with ICU nurses and physicians, as part of a larger PhD study. Nurses who participated in interviews subsequently consented to observation while working. Fieldwork spanned 2 years (2012-2014) and concluded in 2020. Multiple nursing handovers were observed, and thematic analysis was applied to fieldnotes using Atlas.ti. Nursing handovers functioned as heterotopias of nursing expertise, offering moments of access to clinical decision-making. Four sub-themes emerged: (a) narrating the patient's illness trajectory; (b) showcasing expertise and mentoring less experienced colleagues; (c) verbalising and consolidating clinical decisions; and (d) temporarily reversing hierarchical power dynamics. Through these practices, experienced nurses rendered their clinical reasoning visible and exerted influence over patient management. Nursing handovers represent strategic opportunities for nurses to navigate and renegotiate professional boundaries within the ICU. The findings highlight the potential of handovers to strengthen team collaboration, support clinical decision-making and enhance patient care. Recognising handovers as protected spaces for nursing expertise is essential for promoting professional autonomy within critical care settings. Protecting nursing handovers as spaces of professional dialogue can enhance communication, clinical reasoning and patient safety. Combining structured and narrative-based handover training may empower nurses, preserve mentoring and role-modelling functions and sustain professional visibility-particularly relevant in the post-COVID-19 era, where digital and hybrid communication models increasingly shape critical care practice.

In this article, the encoding-decoding-based state estimation problem is investigated for a class of continuous-time nonlinear complex networks (CNs) subject to communication bandwidth constraints. Based on the sampled outputs from a subset of network nodes, a novel dynamic event-driven encoding mechanism is integrated into the design of state estimator, where a time-varying auxiliary parameter is utilized to modulate the triggering condition in a dynamical fashion, enabling the event detector to decide whether the data packet should be released at the periodic sampling instants. Specifically, when the dynamic triggering condition is satisfied, the data are first encoded into a codeword and subsequently transmitted to the estimator through a digital communication channel. The Zeno behavior can be naturally prevented due to the periodic feature of the proposed event detector. By leveraging the Lyapunov theory and the matrix inequality techniques, sufficient conditions are established to ensure the exponential stability of the estimation error system. In addition, a convex optimization approach is employed to design the estimator gain with the goal of maximizing the allowable bound of the sampling intervals. Finally, an illustrative example and a practical example involving a three-area power system are provided to showcase the effectiveness of the proposed state estimation method.

In an era dominated by digital communication, steganography provides a means of covertly embedding data within media files. Adaptive Pixel Value Differencing (APVD) is a sophisticated steganographic technique prized for its high embedding capacity and perceptual invisibility, making it a challenge for traditional steganalysis. This paper addresses the critical need for advanced countermeasures by proposing a deep learning-based approach not only for detecting APVD steganography but also for performing reverse steganalysis—the reconstruction of the hidden payload. We introduce a Convolutional Neural Network (CNN) featuring an attention mechanism and dual output heads for simultaneous stego-detection and payload recovery. Trained and validated on a dataset of 10,000 images from the BOSSbase and UCID repositories, our model achieves a detection accuracy of 96.2%. More significantly, it demonstrates the ability to reconstruct embedded payloads, achieving up to a 93.6% recovery rate at lower embedding densities. The results show a strong inverse correlation between payload size and recovery accuracy. This study highlights a critical vulnerability in adaptive steganographic schemes and provides a powerful new tool for digital forensic investigations, while also prompting a re-evaluation of data security protocols in the face of AI-driven analysis.

The sustainability and societal relevance of liberal arts education are increasingly scrutinized within contemporary higher education quality assurance regimes. Positioned within the framework of outcomes-based education (OBE) and continuous quality improvement (CQI), this study examines graduate-perceived attainment of program outcomes across three Liberal Arts programs—Bachelor of Science in Psychology, Bachelor of Arts in Political Science, and Bachelor of Arts in Communication—offered at a private higher education institution in CALABARZON, Philippines. Using a descriptive evaluative design, the research investigates (a) the extent of program learning outcomes attainment, (b) curriculum relevance to graduates’ occupational roles, (c) responsiveness to industry expectations, and (d) institutional mission–vision alignment as operationalized through program implementation. Findings indicate generally moderate to high levels of perceived outcomes attainment, albeit with discipline-specific variations. Psychology graduates reported strong theoretical foundations but comparatively lower confidence in applied assessment competencies. Political Science graduates demonstrated strengths in analytical reasoning and communication, while identifying the need for deeper integration of ethical and civic praxis. Communication graduates exhibited consistently high attainment across digital, media, and development communication competencies, reflecting closer alignment with contemporary labor market demands. Across programs, curricula were perceived as relevant and responsive; however, systemic gaps were identified in practice-oriented learning, structured industry engagement, entrepreneurial preparation, and global competence integration. The study concludes that while Liberal Arts programs demonstrate substantial alignment with institutional objectives and professional expectations, targeted curricular recalibration is necessary to strengthen applied learning ecosystems, interdisciplinary responsiveness, and global–local coherence. By generating empirically grounded CQI inputs, the study contributes to the discourse on outcomes assessment in liberal arts education and advances a structured model for aligning academic programs with employability, institutional mission fulfillment, and sustainable development imperatives.

ABSTRACT Digital technologies are increasingly used in health communication, yet their role in emotionally complex contexts, such as, obesity and mental health remains unclear. This study compared the use and perceptions of digital communication tools between health professionals (HPs) and the general public. A cross-sectional online survey collected data from 129 HPs and 268 public participants. Descriptive statistics, Chi-square, and Mann–Whitney U tests analysed group differences. HPs were more likely to report using methods such as telephone calls, video consultations, and electronic health records (all p<0.001), and to rate crisis helplines as effective (p<0.001). Public participants preferred consumer-facing technologies used outside clinical settings (e.g. health apps, wearables, messaging) and were less likely to use or value crisis helplines (p<0.001). Both groups reported low adoption of chatbots, with HPs more resistant (p<0.001). Both cohorts identified face-to-face interaction as ideal. HPs more often selected video conferencing, while the public preferred telephone calls. HPs rated digital tools as more empathetic across all formats (p<0.001); 60% rated video conferencing as highly empathetic, compared to 19% of public participants. Findings highlight a digital empathy gap and the need for user-centred design that reduces ‘digital overwhelm’ and supports trust, connection, and usability in stigmatised, or resource-limited settings.

The diversification and rapid spread of digital communication applications, driven by technological advancements, are also changing the ways in which airlines communicate with their stakeholders. The effective use of digital applications has become one of the factors that directly affect customer satisfaction and corporate reputation. The advancement of digital applications has fundamentally enhanced organizations with the capabilities for real-time customer engagement, expedited service recovery, and the provision of tailored offerings. This development provides airlines with significant advantages in providing effective services to passengers. Easy access and instant solutions provided through digital channels such as mobile applications are a strategic element that strengthens corporate reputation by enhancing customer satisfaction and loyalty. This study investigates the effect of airlines' digital passenger communications on customer satisfaction and perceived service quality. Furthermore, it aims to elucidate the mediating role of corporate reputation in this relationship. The study employed the survey research method from quantitative research designs. Data collection was conducted with Turkish Airlines passengers traveling on domestic flights at Istanbul Airport between March 21-23, 2025. The research findings revealed that digital communication applications have meaningful and positive effects on customer satisfaction and service quality. On the other hand, it was determined that corporate reputation played a mediating role in these effects. This situation clearly demonstrates that, for airline companies, strategic digital communication applications not only create direct effects but can also produce indirect effects through corporate reputation, thus highlighting the importance of a holistic communication strategy.

This mixed methods study examined digital leadership effectiveness among secondary school principals in Phnom Penh, Kampong Cham, and Kandal provinces, Cambodia. Using an explanatory sequential design, quantitative data were collected from 385 participants including principals, vice principals, teachers, students, parents, educational administrators, policymakers, and private sector representatives through structured questionnaires employing five-point Likert scales. Qualitative data comprised semi-structured interviews exploring digital leadership practices across New Generation Schools and private secondary schools. Results revealed predominantly positive perceptions of digital leadership (M = 3.90, SD = 1.15), with highest consensus on digital collaboration and communication (M = 4.58, SD = 0.49). Reliability analysis demonstrated exceptional internal consistency for knowledge (α = 0.918), skills (α = 0.984), and attitudes (α = 1.000) constructs. However, substantial disparities emerged across school types. New Generation Schools and private institutions demonstrated advanced digital integration through systematic use of Learning Management Systems, Google Classroom, and digital communication platforms, whilst traditional public schools relied predominantly on paper-based administration due to infrastructure deficits and limited professional development access. Hypothesis testing confirmed that leadership dimensions positively influenced principals' knowledge, skills, and attitudes, which subsequently affected teacher performance and student achievement. Teacher readiness, student competence, and school culture moderated these relationships. Findings indicate that 42.1 per cent of principals lacked digital technology training, representing a critical professional development gap. The study concludes that bridging Cambodia's digital divide requires comprehensive interventions addressing infrastructure investment, mandatory digital leadership competencies in preparation programmes, sustained professional development, and supportive policy frameworks to ensure equitable educational quality across all secondary schools.

Village websites are vital instruments within Indonesia’s e-Government framework, designed to enhance transparency, participation, and accountability in local development. This study examines the Tridadi Village website to explore how digital infrastructure aligns with the communication culture of local governance. Using a qualitative descriptive method that combines non-participatory observation, content analysis, and literature review, the research assesses the website’s effectiveness as a medium for development communication. Findings indicate that while the website performs well as an informational portal, it lacks participatory features, open data, and interactive mechanisms that enable two-way communication. This limitation reveals a gap between digital infrastructure and communication culture, where technological readiness is not accompanied by dialogical or reflexive communicative practices. The study contributes theoretically by emphasizing that digital participation depends not only on technology but also on the transformation of communication values and institutional behavior. Practically, it recommends strengthening human resource capacity, integrating participatory features, and developing digital communication strategies based on openness, inclusiveness, and accountability. These steps are crucial for transforming village websites from static administrative tools into dynamic communication ecosystems that embody the principles of sustainable and participatory local governance.

Digitalization has reshaped dental laboratory processes through digital tools and artefacts supporting clinician–laboratory collaboration; however, repeated iterations still increase coordination effort and extend delivery times. This study examined how the custom abutment process was executed in a dental laboratory and identified where and why iterations occurred during computer-aided design (CAD) modelling, design verification, and manufacturing preparation. Ten completed orders were selected, and their event log information was analyzed using process mining in Disco, complemented by contextual inquiry with domain practitioners. The analysis reconstructed observed execution from order initiation to delivery and derived a reference representation summarizing the most frequently observed ordering of actions. Across the ten orders analyzed, nine exhibited at least one iteration. Iterations were most frequently observed as returns between CAD modelling and design verification and occurred in four orders, while rescanning occurred in two orders due to insufficient or incompatible initial scan information. Contextual inquiry linked repeated action sequences to changes in digital artefacts and communication exchanges, indicating that iterations were associated with incomplete information or differences in interpretation across roles. The findings show that combining process mining with contextual inquiry enables the identification of iterations and clarifies the conditions under which they emerge.

This study explores the influence of social media on the political behaviour and decision-making processes of young individuals, particularly from Generation Z and Generation Alpha. As traditional media loses relevance, platforms such as Twitter (X), Instagram, and TikTok have become central tools for political information, engagement, and identity formation among youth. The research emphasises that social media is not only a space for democratic participation but also a medium where manipulation, disinformation, and ideological polarisation are increasingly prevalent. Far-right political movements in Europe have effectively used digital platforms to shape young voters’ attitudes through targeted content and emotionally charged narratives. The study also highlights the dual role of social media: while it enables political awareness and mobilisation, it also amplifies risks such as radicalisation and misinformation. The findings underline the transformative nature of digital political communication and suggest the need for critical digital literacy, policy oversight, and further empirical research to better understand how social media shapes political agency in the digital age, regulatory oversight, and further empirical research on youth political behaviour in online spaces.

With the rapid expansion of digital communication technologies, young adults increasingly engage in social interaction through online platforms. While these platforms facilitate connectivity and self-expression, they have also created opportunities for cyberbullying, a form of intentional and repeated harm inflicted through electronic media. Unlike traditional bullying, cyberbullying can occur at any time, reach a wide audience, and persist in digital spaces, thereby intensifying its psychological impact. Self-esteem, as a core component of psychological well-being, is particularly vulnerable to negative social experiences. Understanding the relationship between cyberbullying victimization and self-esteem is essential for identifying risk factors and developing preventive mental health interventions among young adults