Communication Model Research Articles

Listening and Legibility: Urban Surfaces Against ‘Overarching Meanings’ in Lispector’s The Besieged City

Listening and Legibility: Urban Surfaces Against “Overarching Meanings” in Lispector’s The Besieged City. This paper looks into the literary dismantlement of projections of totality and objectified knowledge in women’s modern writing, focusing on Brazilian writer Clarice Lispector’s novel The Besieged City. My central claim is that her writing opposes “geographies of reason,” indirectly arguing for an untranslatability of the self inside modernity’s model of legibility and communication. In this novel, Lispector’s alternative to the discoursing, male-dominant, rational public realm is not the introspective inner space of subjectivity, but an innovative world-making poiesis founded on the substitution of the individual self with “the wider life of the world” that remains always a-centric and anti-textual. I investigate the ways in which Lispector opposes opaqueness to legibility, seeking the uncharted territory outside the logic of historical time or the colonial gaze. Reading Lispector’s novel through the notion of “writing by ear” (bearing multiple meanings, mostly in relation to the re-negotiation of the voice-dominant Western perception about writing) will prove useful in understanding the intricate and tangled relation between Euro-American literature and the Global South in terms of complex forms of heritage hybridization and designs of global memory. Keywords: poiesis, totality, Global South, creolization, urban, listening, modernity

Explicating the Pathways Among Memorable Message Themes About Religion and Spirituality, Positive Role Models for Aging, and Successful Aging

ABSTRACT Grounded in the communicative ecology model of successful aging (CEMSA), this study asked older adults to report on a memorable message about religion or spirituality. The message themes were tested as directly predicting perceptions of the message source as a positive role model for aging and indirectly predicting successful aging. Messages with an ethical actions theme, personal relationship with God theme, and eternal damnation theme were directly associated with perceptions of the source as a positive role model. Further, messages with an eternal damnation theme were indirectly associated with successful aging, via perceptions of the source as a positive role model and aging efficacy. Findings address how religious memorable messages and role models for aging might operate in the CEMSA.

CONTEXTUAL APPROACH TO TEACHING THE ELECTIVE DISCIPLINE “THEORY OF MASS COM- MUNICATION” TO BACHELORS OF PEDAGOGICAL UNIVERSITIES (SPECIALITIES “GEOGRAPHY” AND “MUSICAL ART”)

The article covers the main principles of the contextual approach in studying the elective course “Theory of Mass Communication” in pedagogical universities. The aim of the article is to substantiate the effectiveness of applying the contextual approach to teaching the elective course “Theory of Mass Communication” to undergraduate students in pedagogical universities (specialties “Geography” and “Music Art”); to develop situational tasks aimed at fostering media literacy, the ability to codify, and the creation of informational sectoral blocks for dissemination in educational and media spaces. In the research, methods of content analysis, specification, problem-posing, as well as task-based and contextual approaches were used. It has been found that the study of university-wide elective courses appeals to interdisciplinarity in thematic correlation. On the one hand, it involves developing a system of situational tasks that contribute to improving the professional training of students in the specialties “Geography” and “Music Art”. It has been substantiated that the contextual approach is oriented towards teaching material based on methodological foundations, theoretical sectoral knowledge, and forms of activity. The context in the study of academic disciplines involves transforming didactic material, where the objective meanings and significance of sectoral knowledge are transformed into the personal experience of the future teacher. The integral platform allows for the design of situational tasks, the resolution of which combines educational and educational-professional experience. Situational tasks, based on the contextual approach to teaching the course “Theory of Mass Communication”, are built considering the professional training of students in higher pedagogical institutions in the specified specialties (“Geography” and “Music Art”). The didactically processed field of mass communication as a university-wide discipline encompasses thematic blocks such as “Basics of Mass Communication”, “Artistic and Aesthetic Parameters of Mass Com- munication”, “Sociological and Psychological Dimensions of Mass Communication”, and “Mass Communi- cation in the Conditions of Digital Society”. A diachronic consideration of the development of mass communications allows for identifying the cul- tural and historical factors that shape the transmission paths of channels aimed at the recipients of certain knowledge. Addressing the diachronic consideration of mass media information significantly expands the un- derstanding of its essence and the processes of information transmission within mass communication models. It has been outlined that the social and psychological aspects of mass communication determine the language behaviour of professional communicators. This specific feature was taken as the basis in develop- ing situational tasks for communicators – future geographers and musicians. The prepared tasks were cor- related with the normative disciplines studied at the stage of professional training. It has been concluded that studying the elective course “Theory of Mass Communication” based on the contextual approach contributes to the development of professional competencies of teachers who transmit sec- toral information in the conditions of the informational educational environment. It has been proved that the study of semiotics of mass communication should be considered at the level of modelling cultural codes (since geographical names, musical and artistic works contain cultural and historical information, which is actualized in educational discourse at the stage of transmitting sectoral knowledge). Situational tasks, aimed at transmitting sectoral information at the level of a professional communicator (manifestation of language culture), should ap- peal to conducting press conferences as a type of communication, building one’s professional image. The expe- rience of students working with advertising material considering the professional training direction is positive.

A Stealthy Communication Model with Blockchain Smart Contract for Bidding Systems

With the widespread adoption of blockchain technology, its public ledger characteristic enhances transaction transparency but also amplifies the risk of privacy breaches. Attackers can infer users’ real identities and behaviors by analyzing public transaction patterns and address relationships, posing a severe threat to users’ privacy and security, and thus hindering further advancements in blockchain applications. To address this challenge, covert communication has emerged as an effective strategy for safeguarding the privacy of blockchain users and preventing information leakage. But existing blockchain-based covert communication schemes rely solely on the immutability of blockchain itself for robustness and suffer from low transmission efficiency. To tackle these issues, this paper proposes a stealthy communication model with blockchain smart contract for bidding systems. The model initiates by preprocessing sensitive information using a secret-sharing algorithm-the Shamir (t, n) threshold scheme-and subsequently embeds this information into bidding amounts, facilitating the covert transfer of sensitive data. We implemented and deployed this model on the Ethereum platform and conducted comprehensive performance evaluations. To assess the stealthiness of our approach, we employed a suite of statistical tests including the CDF, the Kolmogorov–Smirnov test, Welch’s t-test and K–L divergence. These analyses confirmed that amounts carrying concealed information were statistically indistinguishable from regular transactions, thus validating the effectiveness of our solution in maintaining the anonymity and confidentiality of information transmission within the blockchain ecosystem.

Scenic communication in specialized communication

Abstract Scenic communication does not only appear in drama and theater, but also within specialized or professional communication. For this reason, a model of communication in drama and theater is first taken up here, which in turn is based on a simple model of linguistic or specialized communication. Following this, scenic communication in specialized communication is recorded and described using a few more or less prototypical examples. Three types are distinguished, which can be supplemented by further constellation.

Cultural Communication Models and Strategies of Red Archives in Colleges and Universities under the Perspective of Digital Empowerment

This study explores the significant impact of digital technology on the dissemination and accessibility of red archives within colleges and universities, highlighting it as a crucial evolution in these institutions' cultural endeavours. By applying Maletzke's communication model, the research thoroughly investigates the factors influencing red archive culture communication in the digital context within colleges and universities. It develops a specific communication model for these educational institutions. It outlines five strategic approaches to enhance digital empowerment: improving the quality of content, building and enhancing collaborative team structures, upgrading functional features for personalized service offerings, effectively identifying and engaging the target audience, and utilizing policy, culture, and technology as fundamental elements for the sustainable development of red archive resources. This strategic proposal aims to facilitate the effective promotion and use of red archive resources in colleges and universities amidst the ongoing digital transformation.

An interdisciplinary approach for successful municipal energy transition communication

AbstractThe energy transition toward a sustainable, decentralized energy supply requires the active participation of local municipalities. Its success depends on acceptance and participation across all sections of the population. A role-specific communication strategy is therefore essential to meet the different communication and information habits, value systems, and needs. In this study, a corresponding transactional communication approach is proposed and evaluated, in which communication is understood as a dynamic and interactive process that is oriented toward preference-specific roles. The methodological approach transfers both Jakobson’s communication model from linguistics and Freeman’s matrix from stakeholder management to the context of municipal energy transition communication. In line with our newly proposed agile reference process, a contextualization-based instead of a predominantly functionally oriented energy transition communication strategy can thus be formulated. Applying Jakobson’s model, roles are described primarily in terms of their communicative aspects rather than their functional meaning. The new interdisciplinary approach is demonstrated using the example of a municipality. Results are used to demonstrate a role-specific communication strategy as the base of the subsequent derivation of role-specific actions and instruments.

Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks

Mobile edge computing (MEC) enables computation intensive applications in the Internet of Vehicles (IoV) to no longer be limited by device resources. However, the lack of an effective task scheduling strategy will seriously affect users’ quality of experience (QoE). In this paper, a task type-based task offloading and resource allocation strategy is proposed to reduce delay and energy consumption during task execution. First, we establish communication, computing, and system cost models based on task offloading schemes, and model the joint optimization problem of task offloading and resource allocation as a Markov decision process. The utility function is obtained based on the task completion rate and the system cost. Second, an algorithm framework based on multi-agent deep deterministic policy gradient (MADDPG) is designed to solve the difficulty that traditional single-agent reinforcement learning algorithms are difficult to converge in a dynamic environment. In distributed scenarios, the proposed framework can also reduce system costs while handling more tasks. Finally, federated learning is introduced in the training process to reduce the impact of non-IID data while protecting privacy. Simulation results show that the proposed algorithm can effectively improve system processing efficiency and reduce device energy consumption compared to the popular reinforcement learning algorithms.

Digital and print media texts and their comprehension by young adults – preliminary research results

The purpose of this article is to identify differences in the comprehension of print and digital media texts among young adults. This is due to the paradigm of transactional communication models (Yaros 2009 et al.), which assumes interaction between the medium and the audience, which corresponds to current changes in the media environment (Herkman 2008) and the accelerated digitization of mass media. The discussion of interaction with electronic texts and hypertexts (Singer 2017; Mangen 2013; DeStefano 2007 and others) opens up new research horizons and topics. Researchers from abroad (Norway, UK, etc.) have reported conflicting results regarding the level of comprehension of print and digital media texts, due to the length of the text, type of digital medium, target groups, etc. The recent COVID-19 pandemic has highlighted the importance of digital communication in both media and other areas (education). In order to solve the formulated research problems, a descriptive-mapping and correlation research plan was developed, using a standardized method adapted to the digital environment. A total of 486 respondents were surveyed, 173 of whom met the criteria for participation in both measurements, with an average age of 21.82. The results (compiled using MS Excel and SPSS software) show that there is no difference in the level of comprehension of media texts presented in print and digital form. At the same time, we found that although the values of correlation coefficients indicate that a higher level of text difficulty can lead to lower text comprehension scores (negative “r” values), a higher level of text difficulty is not related to the level of text comprehension. The results are discussed, not only limitations but also broader contexts (e.g., non-cognitive factors) are considered, and some implications for media practice and education are proposed.

POLITICS AND AI: COMMUNICATION STYLE OF PRESIDENTIAL CANDIDATE PRABOWO-GIBRAN'S POLITICAL CAMPAIGN

The communication model carried out by Prabowo-Gibran in the 2024 presidential election contestation campaign is mass communication. The purpose of this research is to deepen the impact of AI technology in political contestation that occurs in Indonesia. The theory used is Hypodermic Needle Communication using a mechanistic paradigm approach. This research uses a qualitative method with a descriptive approach. The descriptive approach was chosen in order to comprehensively understand the phenomenon that is happening. This research aims to help understand the impact of AI technology in a political context. In this case, the effectiveness of Prabowo-Gibran presidential candidates' political communication in the 2024 political campaign is the main subject for this research. This research adopts a qualitative method with a focus on a descriptive approach. The selection of the descriptive approach aims to thoroughly in-depth the existing phenomenon. The main focus of the research is to evaluate the effectiveness of political communication from presidential candidate Prabowo-Gibran in the 2024 political campaign. The use of AI in visual design communication aims to create a campaign that prioritizes navigation that gives the impression of fun but still provides useful knowledge and information. Given that the focus of the mechanistic paradigm and the Hypodermic Needle communication theory is the impact of communication, the use of AI in illustration and visualization increases the effectiveness of communication in the Prabowo-Gibran campaign more massively.

Communication Model Between Regional Institutions Towards Regional Development and Environment in North Sumatra Province

Communication Model Between Regional Institutions Towards Regional Development and Environment in North Sumatra Province

A data-driven short video international communication model based on indicator system communication network and attention BiLSTM neural network

As one of the most popular ways to disseminate Internet content in the current era of media convergence, short videos have increasingly become part of people’s daily lives. This paper takes TikTok as the research object, focusing on the study of short video communication process. The research objective of this paper is to improve the international communication effect of short videos through data-driven analysis and strategy research on the law of international communication of short videos. Firstly, the key objective indicator system about international communication of short videos is constructed, the definition, selection and design logic of key objective indicators are introduced, the construction idea of the corresponding indicator system is proposed, and then the key objective indicator system about international communication of short videos and related data set are constructed. Secondly, an international communication network model for short videos is built. The construction of this network model is divided into three steps, the construction of the short video communication network KOIS-PN based on the key objective indicators system, the construction of AT-BiLSTM neural network model to adapt to the research scenario of short video international communication, the construction of an international communication network model of short videos combining KOIS-PN and AT-BiLSTM. The international short video communication network is constructed according to the key objective index system of international short video, and the key objective index system is used as nodes in the communication network, and the short video communication network is constructed by hierarchical relationship. Thirdly, the performance of the core theoretical model proposed in this paper is verified. The experimental results show that, the KOISPN-ATBiLSTM international communication network model of short videos has certain validity and advancement.

Innovation in Disaster Mitigation Communication Model, Coordination, and Digital Literacy after the Cianjur Earthquake Disaster

Indonesia is vulnerable to natural disasters, including earthquake. Earthquake has an impact on the community including environmental, property, and psychological damage as well as loss of life. Such an impact also happened to earthquake-stricken Cianjur in West Java, which required disaster mitigation and digital literacy to deal with it. The aim of this research is to determine innovations in disaster mitigation communication models, coordination and digital literacy after the Cianjur earthquake. This is a form of handling the impact of a natural disaster before and after it occurs. The theory used in this research is Haddow Disaster Communication focusing on customer focus, leadership commitment, situational awareness, and media partnership. The method used in this research is descriptive qualitative conducted by collecting data through field observations, in-depth interviews and focus group discussions. The results of this research are innovations in disaster mitigation communication models to become disaster mitigation models in Cianjur in the future, know the coordination paths between the parties and the community in case of a disaster, and provide digital literacy for the people of Cianjur through emergency response call centers and WA groups to disseminate information to the public. The efforts of the parties involved in disaster mitigation aim to help the community reduce the risk of disaster affecting physical development, increase the ability of the community in disaster risk mitigation and get an understanding of the community’s access to disaster information.

An intelligent FL-based vehicle route optimization protocol for green and sustainable IoT connected IoV

The intelligent Internet of Vehicles (IoV) provides superior results in effectively addressing complex transportation challenges. Predicting vehicle traffic, crashes, demand, location, communication, and travel safety are all critical issues in today’s transportation systems. The proposed paper optimizes vehicle traffic by incorporating reroute recommendations, increasing the use of public transportation, and providing onboard vehicle drivers with intelligent health assistance using Federated Learning (FL). This research also focuses on resolving complex transportation issues such as a vehicle’s current location, exact vehicle count information on each route, and onboard vehicle vacant seat information. Furthermore, vehicle communication contributes to the proposed system’s efficiency by avoiding communication delays or information loss to registered users and the cloud server. An intelligent FL-based scheme for vehicle route optimization has been proposed as part of this research to prevent vehicle traffic in a real-time Internet of Things (IoT) connected IoV transportation system. The vehicle detection approach determines the number of vehicles traveling on each route to recommend the best route to registered users. The effective implementation of cluster-based vehicle communication and location estimation models enhances the efficiency of the proposed system.

Komunikasi Pembangunan sebagai Model Pemberdayaan di Taman Wisata Bur Telege Aceh Tengah

Participatory development communication is a communication model that is adaptive to various social conditions of the community. One of them is the Bur Telege tourist park located in Hakim Bale Bujang village, Takengon city, Central Aceh. Bur Telege was established due to the local community's concerns about the high level of violations of Islamic law that occurred, the second reason being the difficulty of finding employment at this time. An interesting thing to study is of course because the Bur Telege tourist park is managed directly by the Village-Owned Enterprise BUMD which works together to find the best solution to the problems faced. This study will try to review how development communication is used to empower the local community. Four pillars were found until finally the empowerment model used can be stimulated. Starting from the preparation of the vision and mission of the Bur Telege tourist park, then continued with a common perception, promotion, education and motivation, then continued with the institutionalization stage, then entered the support mobilization stage and finally the action stage.

Federated Learning for Edge Computing in REST APIs: Investigate the Feasibility of Employing Federated Learning Techniques to Train Machine Learning Models Directly on Edge Devices Interacting with REST APIs, Minimizing Data Transfer and Enhancing Privacy

This research explores the feasibility of using federated learning techniques to train machine learning models directly on edge devices interacting through REST APIs. This article designs an architecture that facilitates federated learning using REST APIs for communication between a central server and edge nodes. The architecture ensures efficient model distribution, update aggregation, and iterative global model refinement. This research implements this system in a simulated environment to evaluate its performance. Initial results show that federated learning significantly reduces data transfer and enhances privacy without compromising model accuracy. The REST API-based communication model effectively coordinates updates between the central server and edge devices, and privacy-preserving techniques maintain data security throughout the process. This study confirms that federated learning is a viable solution for edge computing, addressing key challenges in data privacy and communication efficiency, and opens pathways for scalable and effective distributed learning systems in real-world IoT applications. Federated learning offers a decentralized alternative, enabling local model training on edge devices with only model updates shared with a central server. This approach minimizes data transfer and enhances privacy.

A Comprehensive Survey on Challenges and Issues in V2X and V2V Communication in 6G Future Generation Communication Models

A Comprehensive Survey on Challenges and Issues in V2X and V2V Communication in 6G Future Generation Communication Models

How to talk about dying? The development of an evidence-based model for communication with patients in their last days of life and their family caregivers

ObjectiveTo help healthcare professionals (HCP) act with more confidence when communicating about approaching death, we sought to develop a communication model for HCP to facilitate conversations with dying patients and family caregivers (FC) in nonemergency situations. MethodsWe used a four-phase integrative approach: (1) creation of a preliminary model based on a systematic literature review and expert knowledge, (2) review of the model draft by international palliative care experts, (3) review by key stakeholders, and (4) final appraisal by communication experts. ResultsAfter the clinical recognition of dying, the communication model provides a structure and practical communication aids for navigating the conversation based on three phases. It describes the content and relational level as core dimensions of effective conversations about approaching death and highlights the importance of HCP self-awareness and self-care when caring for the dying. ConclusionBased on systematic involvement of key stakeholders, the model supports clinicians navigating challenging conversations about approaching death with dying patients and their FC successfully and with more confidence. InnovationThis study expands the theoretical basis for communication about approaching death and offers a pragmatic model for educational interventions and clinical use.

A grounded theory-based model of information communication in cultural heritage digital reading on the social media from the perspective of the embodied theory

New media technologies have opened up new possibilities for the communication of cultural heritage, and digital reading aligns with the participatory shift in museums, becoming an indispensable part of information communication. Currently, there exists a certain contradiction between the professional content of cultural heritage and the non-linear and immersive narrative style of new media. In order to find a balance between form and content, and explore the information communication pattern of cultural heritage in the era of mobile media, starting from practical issues, this article introduces the theory of embodied cognition, combines it with relevant theories in communication studies, and systematically explores the impact of embodied factors on audience reading behavior by using semi-structured interviews and grounded theory. The research reveals that embodied cognition, situational cognition, and interactive cognition have a significant impact on the digital reading information communication of cultural heritage on social media, which includes six factors: functional experience, sensory experience, interactive experience, scene simulation, emotional elevation and social experience. This study further constructed a theoretical model of the factors influencing the effectiveness of information communication in cultural heritage digital reading on the social media platform under the influence of embodied cognition theory, which confirms that these six factors play a significant role in the process of museum content generation, audience understanding, as well as the emergence of and the feedback loop of new meanings.

Application of Deep Learning in Social Network Public Opinion Sentiment

With the rapid development of social network platform, in order to purify the network environment, prevent the abuse of public opinion information, and control public opinion in a very short time, this paper proposes the application research of deep learning in social network public opinion sentiment recognition and analysis. Through the construction of social network model and social network knowledge map and the analysis of key technology, a network public opinion algorithm based on deep learning is proposed, and a competitive public opinion information communication model in online social networks is constructed, and then a simulation experiment is conducted on the improved model of the constructed social networks. The result shows that in public opinion management and control, for users with larger node degree, this technology can effectively understand and obtain public opinion information in a very short time with faster and wider information propagation speed, so as to realize the effective control of public opinion information and the processing of massive information.