Communication Model Research Articles

Designing persuasive communication models for vaccine acceptance in isolated communities: A mass communication approach

This study introduces the Persuasive Communication Model as a novel approach to address vaccine hesitancy in isolated U.S. communities, where infectious diseases such as measles and influenza continue to pose significant public health threats. By integrating mass communication theories like the Elaboration Likelihood Model (ELM) and Social Cognitive Theory (SCT), with AI-driven message personalization, the model effectively tailors health communication strategies to the cultural, cognitive, and socio-economic contexts of vaccine-hesitant populations. In a randomized controlled trial, the model increased vaccination uptake by over 20% compared to traditional methods, while also enhancing trust in healthcare systems. The model’s adaptive communication, utilizing both digital platforms and community leaders, was instrumental in overcoming barriers related to geographic isolation, religious beliefs, and cultural resistance. These findings are particularly relevant for enhancing national public health security and reducing the economic burden of vaccine-preventable diseases. The study highlights the model's superiority over static communication frameworks, offering scalable applications for broader public health interventions.

Design and development of an ai-driven communication model for stimulating memory recall in patients with Alzheimer’s and other neurodegenerative diseases

This study presents the development and evaluation of an AI-driven communication tool designed to stimulate memory recall in patients with Alzheimer’s disease and other neurodegenerative disorders. The tool integrates machine learning algorithms, including Random Forest and Long Short-Term Memory (LSTM) networks, with mass communication theories to deliver personalized and adaptive communication strategies. The AI models were trained and tested on patient interaction data, enabling the tool to dynamically adjust its prompts based on real-time cognitive states. Performance metrics such as accuracy, precision, and AUC-ROC were used to assess model efficacy, with the Random Forest model achieving the highest performance across all metrics. Clinical trials demonstrated significant improvements in memory recall and emotional engagement in patients using the AI tool compared to standard cognitive stimulation therapy. Caregivers also reported higher satisfaction with the tool's usability and impact on patient interaction quality. These findings highlight the potential of AI-driven, personalized communication tools to revolutionize Alzheimer's care, offering scalable, adaptive interventions that improve cognitive and emotional health. Academically, this work advances the integration of AI and health communication, emphasizing culturally sensitive and patient-centered approaches. In healthcare, it presents a promising non-pharmacological intervention that can be easily scaled for widespread use, potentially reducing caregiver burden and improving patient outcomes.

Resource allocation optimization of device-to-device communication using machine learning algorithms

Device-to-device communication is envisioning next-generation wireless communication. The utility of the device-to-device communication model encourages emerging communication systems such as 5G and the Internet of Things. The allocation of resources and channel interference are major challenges in device-to-device communication. This paper proposes machine-learning-based algorithms for resource allocation and optimization of device-to-device communication. The proposed machine learning algorithm is a cascaded support vector machine. The cascaded support vector machine mapped the parameters of CUEs and DUEs. We create an iterative algorithm to achieve low-power, energy-efficient resource allocation with mode selection by formulating a novel optimization problem to maximize energy efficiency using the subtractive form method to solve a fractional objective function. We obtain data samples from a suboptimal algorithm to train the cascaded algorithm and verify the trained algorithm. Our numerical results show that the proposed cascaded machine learning-based transmission algorithm's accuracy reaches about 88%–95% despite its simple structure due to the limitation in computing power. The analysis of results suggests that the proposed algorithm is more efficient than SVM, DSVM, and the reinforcement learning (RL) algorithm.

Understanding content dissemination on sensemaking: WHO’s social listening strategy on X during the initial phase of COVID-19

Abstract Purpose Guided by the Crisis and Emergency Risk Communication model (CERC, Reynolds and Seeger 2005. Crisis and emergency risk communication as an integrative model. Journal of Health Communication 10(1). 43–55.), the present study aimed to study how X (formerly Twitter) users sensemaking and efficacy based message. Additionally, the study also aimed to understand how the World Health Organization (WHO) responded to the emerging conversation. Methods Unsupervised machine learning was conducted on 6.1 million tweets between January and March 2020 to understand sensemaking about COVID-19 among X users. Additionally, content analysis was used to examine if the World Health Organization (WHO) responded to popular emerging conversations via content on their own X handle. Findings The majority of dominant topics in COVID-19 tweets from January to March 2020 related to understanding the virus and the crisis it caused. X users tried to make sense of their surroundings and re-create their familiar world by framing events. Content analysis revealed that WHO engaged in effective social listening and responded quickly to dominant X conversations to help people make sense of the situation. Practical Implications The initial stage of COVID-19 pandemic was marked with uncertainty. However, WHO had a robust communication strategy and addressed the dominant conversation during the time frame including debunking misinformation. Originality/Value The present study fills the research gap by situating the themes in the context of the health crisis and extending the CERC model to user-generated content via the lens of sensemaking and efficacy messages during the COVID-19 pandemic. Additionally, the study segmented the timelines into smaller time intervals to understand how sensemaking evolved over time.

The Rise of Fake Reviews: Toward a Marketing-Oriented Framework for Understanding Fake Reviews

Reviews have become an essential part of consumer decision-making. However, the rise in fake reviews can lead consumers astray and provide misleading information to sell more products or harm competing brands. This study systematically analyzes 229 studies on fake reviews using structural topic modeling. The study outlines the antecedents, decisions, and outcomes (ADO) of fake reviews in marketing and summarizes the theories, contexts, and methods (TCM) used by research in this domain. Additionally, the study integrates the sender, message, channel, and receiver (SMCR) communication model with dual-factor theory to propose a comprehensive framework that categorizes marketing factors that contribute to or inhibit the creation and transmission of fake reviews along with their marketing implications. Finally, the study outlines opportunities for further research and provides equivalent recommendations for marketers and marketing researchers to deal with fake reviews.

Pola Pendidikan Inkulusif Studi Bagi Anak yang Mengalami Gangguan Komunikasi

Children with disabilities are children who have physical or mental deficiencies and have difficulty communicating in social environments, one of which is in the school environment. This research aims to find out what forms occur between teachers and students with special needs in inclusive schools. In communicating, teachers need to consider the characteristics of students with special needs to be able to determine the appropriate form of communication so that learning objectives can be achieved. This research uses a qualitative approach with descriptive methods. Research was conducted in elementary schools. The research results show that there are several factors that influence the form of teacher communication towards students with special needs. This research focuses on the communication patterns used by teachers in the teaching and learning process of children with disabilities. The diversity of developmental characteristics and obstacles they experience will lead to different communication models that we can present to them in helping them to carry out social interactions. The effectiveness of the communication that occurs with them really depends on the instruments they use to help them communicate with all their limitations.

Design and Performance Evaluation of an Authentic End-to-End Communication Model on Large-Scale Hybrid IPv4-IPv6 Virtual Networks to Detect MITM Attacks

After the end of IPv4 addresses, the Internet is moving towards IPv6 address architecture quickly with the support of virtualization techniques worldwide. IPv4 and IPv6 protocols will co-exist long during the changeover process. Some attacks, such as MITM attacks, do not discriminate by appearance and affect IPv4 and IPv6 address architectures. In an MITM attack, the attacker secretly captures the data, masquerades as the original sender, and sends it toward the receiver. The receiver replies to the attacker because the receiver does not authenticate the source. Therefore, the authentication between two parties is compromised due to an MITM attack. The existing authentication schemes adopt complicated mathematical procedures. Therefore, the existing schemes increase computation and communication costs. This paper proposes a lightweight and authentic end-to-end communication model to detect MITM attacks using a pre-shared symmetric key. In addition, we implement and analyze the performance of our proposed security model on Linux-based virtual machines connected to large-scale hybrid IPv4-IPv6 virtual networks. Moreover, security analyses prove the effectiveness of our proposed model. Finally, we compare the performance of our proposed security model with existing models in terms of computation cost and communication overhead.

Russian science of public relations: stages of formation, specifics, development formats

INTRODUCTION. Any social institution presupposes scientific reflection of its activities. The purpose of the study is to trace the history of the formation of Russian scientific knowledge about public relations (PRology) as a component of a social institution, to characterize various approaches to scientific reflection of PR activities; to identify its national specifics and to determine possible foresights.MATERIALS AND METHODS. General scientific methods of deduction and induction, synthesis and analysis were used. The rather small domestic literature on the theory and history of PR knowledge was studied and analyzed.RESULTS AND DISCUSSION. It is analyzed various points of view on the science of public relations – classifying, problematic and historical. The analysis of the development of the Russian theory of public relations is given and the main characteristics of the stages of formation of Russian knowledge about PR are revealed, which generally correspond to the periodization of public relations in Russia. In the last five years, monographs and dissertations on the theory of PR have not appeared, but a significant number of works on media communications indicate the vulgarization of scientific knowledge about public relations due to the lack of a single scientific view on the nature and specificity of media communications. The tasks of the current stage of development of scientific knowledge about PR are outlined: reflection of the state of the PR industry; creation and legitimization of a single professional glossary; registration and generalization of regional experience in the field of communications; comprehension of the experience of European public relations.CONCLUSION. Among the foresight directions, the following are named: characteristics of the “model” mechanism of scientific description of modern PR-activity on the example of the communication model of G. Lasswell, operationalization in the scientific continuum of the concepts of “communication product”, “communication technology”. The area of application of the research results may be issues of the history of communication disciplines. In the prospects of scientific research, problems of interdisciplinary interaction of communication disciplines and the advancement of foresight topics of scientific research, reflecting the reflection of practical activities in the field of integrated communications, may be identified.

Research on Remote eSIM Provisioning Management Technology for 5G Terminal

The use of eSIM in mobile terminals such as the Internet of Vehicles has become the general trend, and more and more enterprises have put forward clear requirements for the remote provisioning of eSIM. This paper aims to combine 5G technology to analyze remote eSIM provisioning management technology for terminal, and combine algorithm improvement to improve remote eSIM information management and control effects. Moreover, this paper describes in detail the three-layer communication structure in the communication model, the design of edge gateway nodes, and the query mechanism for cloud center request names and data resources. In addition, this paper uses experiments to evaluate the connectivity of the eSIM three-layer communication model and the characteristics of the NDN network. Through experimental research, it can be seen that the remote eSIM provisioning management model proposed in this paper has certain advantages when applied to the Internet of Vehicles compared with the existing remote provisioning management technologies for the Internet of Vehicles. This article takes the Internet of Vehicles as an example to conduct research. At the same time, its support for mobility can be well applied to the Internet of Vehicles to meet the mobility of terminal vehicles. Therefore, it can provide some reference in the subsequent development of Internet of Vehicles technology.

The Impact of New Media Strategies on Luxury Marketings: A Case Study of LVMH and Dior

Abstract: With the rapid development of digital technology, the traditional communication model of luxury brands is facing great challenges. There is an urgent need for luxury companies to explore new communication modes to break the limitations of traditional models and increase brand influence. This study explores the impact of new media marketing strategies adopted by LVMH on luxury brand perception and product sales. Taking Dior as an example, as part of the LVMH group, it has actively explored the corporate strategy of utilizing new media for marketing, especially through virtual fashion shows' novel new media marketing strategy. The article analyses how LVMH uses new media platforms such as social media, online advertising and content marketing to engage with its target audience. It assesses the impact of these strategies on brand perception and sales performance. It also discusses the challenges faced by LVMH in new media marketing. It proposes solutions and recommendations to promote the substantial development of the luxury industry in the new media era.

Corporate sustainability communication to promote pro-environmental behaviour: lessons learned from Balinese women in Indonesia

PurposeThis study aims to (1) examine corporate sustainability communication that promotes pro-environmental behaviour and (2) explore women’s experiences and expectations in relation to sustainability communication. Based on the findings, the study proposes a sustainability communication model that can facilitate the needs of both companies and women.Design/methodology/approachA case study was conducted to examine sustainability communication within the support waste management project of one company in Bali, Indonesia. Following the appreciative inquiry method, focus group discussions involving Balinese women and in-depth interviews were conducted to discover the best experiences and most appropriate ways to participate in waste management initiatives.FindingsThe findings show a gap between women’s understanding of sustainability issues and the information provided by the company. The company and women construct their own understandings of sustainability issues, and each has different capacities, needs, interests and values. This study contends sustainability communication as a process for co-creating meaning. It should begin by using the livelihoods and tangible impacts on women groups as the entry point.Research limitations/implicationsThe proposed framework suggests communication intervention that acknowledges the importance of community participation and empowerment as well as three levels of impact: for themselves, their environment, and their communities. This study also recommends further studies in different contexts, as this study was conducted in collectivist rural communities.Originality/valueThe proposed framework accentuates the value of communication processes and management as well as sustainability outcomes, and considers women as actors, rather than as objects.

Language Teaching and Curricular Practices: A Comprehensive Literature Review

Language teaching has evolved over the decades, driven by advancements in educational theories and the growing need for learners to communicate effectively in a globalized world. Curricular practices in language education have shifted from traditional grammar-based approaches to more communicative and task-oriented models. However, the implementation of these curricula varies across different contexts, raising questions about their effectiveness and adaptability. This comprehensive literature review aims to analyze the current trends, challenges, and best practices in language teaching and curriculum design. By synthesizing findings from empirical studies, the review examines how various curricular approaches impact language proficiency, learner engagement, and teaching methodologies. The study also explores the role of institutional support and teacher training in facilitating successful language education reforms. The review finds that communicative and task-based curricula significantly improve language proficiency and learner motivation. However, successful implementation requires adequate teacher preparation, appropriate resource allocation, and flexibility in curriculum design. Additionally, challenges such as cultural differences, institutional rigidity, and assessment practices can hinder the effectiveness of innovative curricular models. In conclusion, while communicative and task-based approaches show promise, their success is highly context-dependent. Future research should focus on developing adaptable curriculum models that accommodate diverse educational settings and explore long-term outcomes of these approaches.

Optimized beamforming vector and antenna selection using autoencoder with Bayesian RNN and hybrid heuristic algorithm for MIMO systems

SummaryWireless communication systems depend on channel state information (CSI). However, the CSI collection is a significant barrier to achieving high performance. Present wireless communication models mainly rely on many antennas and related signal dispensation for increasing effectiveness. User mobility, the usage of greater frequencies, and a better number of antennas contribute to beamforming and beam management in these networks. Therefore, an improved hybrid heuristic algorithm is proposed here for providing optimized Joint beam forming and antenna selection (JBAS) in a multi‐input multi‐output (MIMO) model. The major novelty of the research work is to jointly perform the beam forming and antenna selection in MIMO that effectively enhanced the performance of the wireless transmission system. The major intention of this paper is to optimize the beamforming vectors and antennae by using the designed algorithm, where the spectral efficiency gets maximized. Initially, the data is collected by varying the number of users, locations, and sampling points, which is optimally selected by developing the hybrid reptile search‐based lion optimization algorithm (HRS‐LOA). Once it is collected, the relevant CSI is considered. This state of information is fed as input to the Auto Encoder with Bayesian Recurrent Neural Network (AE‐BRNN). Finally, through the network, the optimized value of the beamforming vector and antenna is obtained, which is useful to increase the sum rate/spectral efficiency. From the numerical results, the recommended model attained a spectral efficiency of 30 bits/s/Hz, which is higher than the BWO‐AE‐BRNN with 13%, RSO‐AE‐BRNN with 16%, RSA‐AE‐BRNN with 17%, and LA‐AE‐BRNN with 40% respectively.

Research on doctor-patient communication teaching for oncology residents: a new teaching model.

At present, there is no specific teaching method for doctor-patient communication for oncology residents. This study combined BOPPPS (bridge-in, learning objective, pretest, participatory learning, posttest, and summary) teaching model and SBAR (situation-background-assessment-recommendation) communication model to try a new teaching and assessment model of doctor-patient communication, aiming to explore and improve the teaching method of doctor-patient communication for oncology residents. Ninety residents were randomly divided into two groups: the experimental group (n = 45) was trained with the BOPPPS teaching model combined with the SBAR communication model, the routine teaching method was adopted in the control group (n = 45). Indicators of assessment included doctor-patient communication skills, satisfaction with teaching, and patient satisfaction. The scores for doctor-patient communication ability were significantly better in experimental group than control group (p < 0.05). The degree of satisfaction degree (very satisfied + satisfied) of the experimental group were higher than control group (p < 0.05). The overall teaching satisfaction of the experimental group was 100.00%, the control group was 77.78%, p < 0.001. Patients' satisfaction with the residents in the experimental group (93.3%) was significantly higher than control group (80.0%), p = 0.043. The application of the BOPPPS combined with the SBAR can effectively enhance residents' doctor-patient communication ability and improve teaching satisfaction and patient satisfaction. This new model can effectively improve resident physician‒patient communication ability, which is worth actively promoting in clinical teaching work.

Integration of Digital Repositories and Spatial Design within the Metaverse: the Evaluation of Features and Narratives to set Learning Environments on Cultural Heritage

Abstract. The Metaverse is rapidly advancing across cultural, professional, and service sectors, enhancing data compatibility and interaction. Its architectural design supports both visual interaction and information layers, characterising an ideal platform for the promotion of Digital Heritage. The digitisation of Cultural Heritage and the creation of Digital Repositories find complementarity in the Metaverse, which enables social interactions between Digital Heritage contents and virtual communities. This integration is pivotal for developing Learning Environments, where accessible virtual products can be combined with original digital storytelling and narratives.The paper presents methods and results from an Erasmus+ international school, which focused on using digital communication and 3D modelling tools to create immersive narratives on Mediterranean architectural modernity. Students from various Cultural Heritage disciplines designed virtual exhibitions within the Metaverse platform Spatial and open repository materials. The research concentrated on the application of Metaverse platforms for their spatial design and educational utility within the Heritage sector. The activities included developing digital narratives and interactive exhibitions enriched with multimedia data from digital repositories. The study discusses the limitations of customising visual materials, the importance of repository connections, user experience design, and the potential for future developments in Metaverse applications for Cultural Heritage learning environments and storytelling.

Technological sovereignty as a factor of competitiveness of oil and gas companies of the Russian Federation

Aim. To investigate the importance of technological sovereignty for strengthening the competitive positions of Russian oil and gas companies.Objectives. To identify the key factors that determine the level of technological independence of oil and gas companies; to assess how these factors affect their ability to compete successfully at the national and international levels.Methodology. The research uses general scientific methods of analysis and synthesis using a systematic approach.Results. The essence of technological independence as a factor in the development of competitiveness of companies in the oil and gas sector was analyzed. The assumption is formulated that the achievement of technological sovereignty allows companies to mitigate risks arising from external factors, including international sanctions and restrictions on access to advanced foreign technologies. Several strategic initiatives have been proposed to strengthen the technological sovereignty of the domestic oil and gas industry: training of highly qualified personnel, introduction of tax incentives and subsidies from the state for companies, creation of special economic zones or technology parks, protection of intellectual property and support for patent activity.Conclusions. Technological independence is the most effective method in the context of the struggle of Russian industrial companies against external challenges: sanctions and changes in global energy markets. The development of national technologies in the oil and gas sector due to the synergetic effect has a positive impact on strengthening the competitive advantages of Russian national companies in both domestic and international markets. In order to ensure technological sovereignty, special attention should be paid to the development of strategic risk management mechanisms, as well as effective communication models between the state, industry, and science.

Communication and information model of the inclusion of digital participation in the evaluation of social processes

The evolution and wide use of modern technologies, tools and methods of communication are an integral part of the modern information society. In particular, current communication and information technologies provide an opportunity to create and extract a digital footprint for an individual or a certain group. In relation to the public authorities’ activities, the digital footprint can be used to analyse the reaction of society to their actions more effectively. By researching the digital footprint of social media actors in a particular region, it is possible to determine how the population treats various decisions and measures taken by the authorities. Due to digital participation, citizens have the opportunity and a tool to facilitate the management process at the stages of decision-making. The digital participation generates a digital footprint, the analysis of which provides feedback on the actions of the authorities. The purpose of the article is to propose a communicative and information model for the inclusion of the digital participation in the evaluation of social processes, consisting of mechanisms and interfaces for obtaining information alongside with mechanisms and interfaces for receiving feedback for evaluating the activities of public authorities in the region. The efficiency of the model has been practically proved by the example of a socially significant event in the Oryol region. Using the example of regional management centres, the expediency of introducing the model for evaluating the activities of public authorities in the region through receiving feedback is shown. This will increase the involvement of citizens in the regulation of social processes in the region and improve the quality of management.

Communication, Climate Mitigation, and Behavior Change Interventions: Understanding Message Design and Digital Media Technologies

Using the socio-ecological model of social and behavior change communication, our review highlights current trends in understanding message design factors and media technologies promoting proenvironment and climate mitigative behaviors. We explain that much of this research has focused on the individual level, and relatively few studies have been conducted at the interpersonal and community levels. With respect to changing communication ecology, we note the potential for research on the use of social media platforms to influence positive behavior changes and, conversely, the challenges of misinformation and its impact on behavior shifts. This area requires further investigation as these communication platforms transform and become increasingly relevant. Additionally, we need to explicate the long-term shifts and impacts of behavior change interventions as well as track behaviors over time. Overall, our review underscores the continued need for research across different geographical, sociopolitical, and technological contexts.

Parental mediation and mobile phone dependency among Chinese migrant children: A moderated mediation model of self-control and parent-child communication

Previous research has identified the association between parental mediation and children’s mobile phone dependency. However, limited studies have focused on migrant children and explored the underlying mechanisms from the perspective of the interaction between individual and family. To address this gap, an anonymous self-report survey was conducted among 686 migrant children in mainland China. This study finds that the prevalence rate of mobile phone dependency among migrant children was 33.82%. The results demonstrate that both parental mediation and self-control negatively related to mobile phone dependency among migrant children. Self-control fully mediates the relationship between parental mediation and mobile phone dependency among migrant children. Moreover, parent–child communication moderates the relationship between parental mediation and self-control. Specifically, individuals with high-level parent–child communication exhibit stronger moderating effects compared to those with low-level parent–child communication. These findings contribute to a better understanding of the complex mechanism through which parental mediation affects mobile phone dependency among migrant children while also providing practical implications aimed at preventing and reducing mobile phone dependency.

Performance Analysis of Reconnaissance Coverage for HUAV Swarms under Communication Interference Based on Different Architectures

In environments with unknown communication interference, the mission efficiency of heterogeneous unmanned aerial vehicle (HUAV) swarms is often impacted by communication disruptions due to regions of strong interference encountered when executing reconnaissance and coverage missions. Existing research has rarely focused on communication interference or on the differences in HUAV characteristics under various control architectures; thus, in this paper we explore the performance differences between HUAV swarms based on centralized, distributed, and centralized-distributed architectures when executing reconnaissance and coverage missions in environments with unknown communication interference. First, a communication model in an unknown interference environment is constructed to reflect the real-time communication status of the swarm. Second, in response to the limitations of the traditional artificial potential field (APF) algorithm in this environment, a coverage-oriented artificial potential field (COAPF) algorithm is proposed. Finally, based on the COAPF algorithm, a multi-dimensional comparison of the mission completion efficiency of HUAV swarms with three different architectures is conducted. Our simulation results indicate that the distributed architecture is suitable for large-scale environments with strong interference, while the centralized–distributed architecture performs better in small-scale environments with weak interference. Conversely, the centralized architecture exhibits poor performance in all interference scenarios due to its lack of decision-making capabilities.