Dissemination Of Information Research Articles (Page 1)

Purpose This study aims to examine the dynamic and asymmetric relationships between information and communication technology (ICT) diffusion, renewable energy consumption, financial development, electricity access and green economic growth in 40 African countries over the period 2000–2019. Design/methodology/approach Using both symmetric and nonlinear panel ARDL estimators (PMG and NARDL), the analysis explores the complex interactions among these variables and incorporates an interaction term between ICT and electricity access to capture the moderating role of social infrastructure. Findings The results indicate that ICT diffusion and renewable energy consumption significantly enhance green growth in the long run, while financial development has a negative and nonlinear effect, reflecting structural inefficiencies in African financial systems. Electricity access emerges as both, a direct driver of green growth and a moderator that strengthens the positive effect of ICT diffusion. Research limitations/implications The analysis is limited to 40 African countries over 2000–2019, and data constraints may affect the generalizability of the results. Practical implications The findings guide policymakers to prioritize ICT infrastructure, renewable energy investment and financial reforms to foster sustainable growth. Social implications Improved electricity access and digital inclusion can reduce inequality and ensure broader participation in the green economy. Originality/value This study contributes to green growth theory by integrating technological, financial and infrastructural dimensions, while also addressing the social implications of infrastructure access. It further provides actionable policy recommendations to promote digital inclusion, renewable energy investment and financial reforms for sustainable development in Africa.

In online social networks (OSNs), people usually join groups for communication. Information diffusion often occurs with some cost, either between individuals or within/among groups; and different opinions may compete with each other. The groups can make decisions based on the majority of the group members. This type of group consensus is common in group activities. However, existing research on maximization of competitive influence often neglects the effects of group consensus. To this end, we introduce the process of group consensus reaching in influence maximization and propose a novel Group consensus-based Competitive Linear Threshold (GCLT) propagation model; then we study the Budgeted Competitive Influence Maximization (BCIM) problem under the GCLT model. We reveal that the problem is NP-hard, and the objective function is proven to be neither submodular nor supermodular. To this end, we construct an equivalent Group consensus-based Competitive Live-Edge (GCLE) model of GCLT by sampling method. Based on GCLE, develop two submodular functions of the upper and lower bounds. Then, we propose the SBG algorithm by applying the Sandwich Approximation framework for the BCIM problem under the GCLT model. In SBG , we provide an approximate solution to the lower bound and the upper bound by the proposed OPIM-B algorithm. Then, we select the seed set of solutions that achieves the best influence spread in Monte Carlo simulations. We also propose two strategies to optimize SBG . The experiments on six real social network datasets verify the effectiveness and scalability of our method and validate the impact of group consensus on the competitive influence dissemination process, as well as the importance of considering the process of reaching group consensus.

Abstract The COVID-19 pandemic has sparked intense global discussions about vaccine safety, efficacy, and distribution on social media. It underscored the need to analyze how vaccine-related sentiments propagate across social media and interact with news media articles. Despite extensive research on COVID-19 vaccines, most existing studies examine the sentiment of the COVID-19 vaccine by focusing on social media or news articles in isolation. This study bridges the gap by exploring correlations between these sources through a hierarchical spatiotemporal sentiment analysis framework that integrates social media discussions and mainstream news across global, national (US), and regional (Pennsylvania and Philadelphia) scales. Leveraging over 7 million English tweets and 6,500 news articles alongside physical events, official government records, and demographic data collected between January 2020 and June 2022, we introduce a user location inference method to approximate geographic context. Our approach leverages TriLex, a multi-lexicon sentiment method, and BERTopic to extract nuanced topics, further refined by ChatGPT for enhanced interpretability. The study period was divided into six key intervals, ranging from the beginning of the COVID-19 pandemic to the emergence of the Delta and Omicron variants. The results indicate distinct sentiment patterns in different regions and periods, partially aligning with the NYT’s vaccine-related articles. Although no causal link has been established, our findings highlight the value of correlating multi-scale social media analysis with news articles to address vaccine hesitancy, refine public health messaging, and guide future research on information diffusion in global crises.

This research analyses the optimisation of the electronic performance appraisal system (e-Kinerja) implementation within the context of the Civil Servant (ASN) performance management transformation at the Sidoarjo Regency Regional Civil Service Agency. The e-Kinerja system represents a digital innovation in ASN performance appraisal, developed in accordance with the Minister of State Apparatus Utilisation and Bureaucratic Reform Regulation Number 6 of 2022. This qualitative research, employing a case study approach, utilised purposive sampling for informant selection, with data gathered through participant observation and documentary analysis. Data analysis followed the Miles and Huberman model, encompassing data reduction, data display, and conclusion drawing. The research findings indicate that the e-Kinerja implementation faces challenges regarding system integration with the Personnel Information System (SIMPEG), synchronisation of personnel data, and equitable dissemination of information to all Civil Servants. Nevertheless, the system is proven to enhance accountability, transparency, and work productivity of Civil Servants through measurable daily reporting mechanisms and monthly targets. This study contributes theoretically to the literature on technology-based public sector performance management and practically through recommendations for developing a more integrated e-Government system. Policy implications include the necessity for accelerating the digitalisation of personnel services, strengthening the capacity of civil service human resources in digital literacy, and developing an information technology infrastructure that supports bureaucratic transformation towards a more efficient, accountable, and responsive.

Inner-city dwellers are affected by risk information constraints. Studies show that existing communication strategies are designed to inform the general population, but there are still gaps. This paper examines the information poverty existing in the inner-city community of a Barangay in Cavite, Philippines, in the context of the COVID-19 pandemic. We present in this research the results of the interviews conducted among the inner-city community members. Interview transcripts were analyzed using thematic analysis. Results show that they were aware of the symptoms, transmission, and prevention of COVID-19. The challenges they faced included access to digital technology and infrastructure, which is an additional cost for the community members. Their sources of information are interpersonal channels and media sources. However, they mostly rely on what their neighbors say, shaping how they receive and accept information. The information poverty existing in Barangay Maliksi is characterized by a lack of information and misinformation. We suggest that the information dissemination approach should consider the information sources that the community tends to seek out more.

Objectives Japanese encephalitis is a severe mosquito-borne disease requiring effective prevention and ongoing vaccine safety monitoring. This study aimed to analyze the characteristics, severity, and reporting trends of adverse events associated with Japanese encephalitis vaccines (JEV) in the U. S. Vaccine Adverse Event Reporting System (VAERS). We also investigated the correlation between Google search trends and adverse event reporting. Methods Data were extracted from VAERS (1993–2025). Descriptive statistics, including demographics and temporal trends, were performed. Disproportionality analysis used the reporting odds ratio (ROR) with a 95% confidence interval (CI). Google Trends analysis covered 2004–2025 (worldwide, topic: “Japanese Encephalitis Vaccine”). Results A total of 1,384 reports (6,596 vaccine-event pairs) were retrieved. IXIARO accounted for 3,452 pairs, JE-VAX 1368, J-VAX 698, and “unspecific Brand” 1,078. Serious reports totaled 284 (20.5%), and fatal reports 11 (0.80%). The 18–29 years group comprised 39.52% ( n = 547) of reports, while the ≥60 years group constituted 3.4% ( n = 47), with no fatal outcomes reported in this demographic. Key disproportionality signals (RORs) included nausea ( n = 134, ROR = 1.32), dizziness ( n = 132, ROR = 1.33), pruritus ( n = 127, ROR = 2.33), and urticaria ( n = 122, ROR = 2.89). Noteworthy brand-specific signals: IXIARO (loss of consciousness n = 32, ROR = 2.88; seizure n = 17, ROR = 2.97), JE-VAX (encephalitis n = 5, ROR = 15.69; angioneurotic oedema n = 4, ROR = 68.17), and J-VAX (laryngospasm n = 11, ROR = 185.73). Google search volume showed strong temporal correlation with VAERS reports (2004–2025). Conclusion This study revealed the reporting patterns of JEV vaccine adverse events in the VAERS database, indicating that a considerable proportion of reports were serious events, and allergic reactions such as pruritus, rash, and urticaria were prominent. The observed overlap between spontaneous reporting and online search trends suggests public awareness and information dissemination influence reporting patterns. These findings underscore the need for continued JEV safety surveillance and further investigation.

Agriculture in Benin, which is mainly rainfed, faces growing challenges from climate change. Rising temperatures, irregular rainfall, and recurring droughts have significantly affected food security and smallholder livelihoods. This study provides an empirical assessment of how climate variability affects key staple crops and farmer responses in Benin’s agroecological zones. Using a triangular methodology that combines a systematic review of the literature (PRISMA), 30 years of climate and yield data (1990-2020), and field surveys, the study ensures comprehensive and validated findings. The results indicate an increase of +0.9°C in average annual temperatures and a 12.5% decrease in the consistency of the rainfall. These climate changes have led to substantial yield losses in maize (18%) and sorghum (12%), while cassava and yam showed relative resilience. The northern Sahelian and Sudano-Guinean zones were identified as the most vulnerable due to delayed rains and longer dry periods. Farmers have adapted by adjusting planting dates, intercropping, and adopting drought-tolerant crops; however, these efforts are hindered by limited access to credit, insufficient agricultural input, and weak extension services. The findings underscore that climate change is already reducing agricultural productivity in Benin, with uneven regional and crop-level impacts. To mitigate these risks, policies must focus on promoting climate-smart agriculture, improving climate information dissemination, developing resilient crop varieties, and expanding irrigation systems. Strengthening financial support and advisory services will also be critical to improving farmers’ adaptive capacity. Ultimately, integrating scientific innovations with traditional knowledge can build sustainable agricultural resilience and long-term food security under changing climatic conditions.

Abstract Experiments on social norm interventions suggest that public dissemination of normative information, which creates common knowledge on a social norm, increases conformity to the social norm more effectively than privately disseminated information, regardless of other factors affecting norm conformity, such as group identity and heterogeneous endowments. We present an experimental test of the effect that the channel of dissemination – public versus private – has on norm conformity at different levels of group identity in a public-goods setting with heterogeneously endowed actors. Participants receive a normative message about the behavior that participants of a previous experiment identified as the “fairest.” We vary between strong and weak group identity, and public and private information, and record participants’ compliance with the norm. Our results suggest that the effect of public normative information depends on the salience of group identity and the initial endowment of individuals. At best, it has no effect on norm conformity. However, in the heterogeneous setting, it reduces norm conformity among those with lower initial endowments. This poses challenges for eliciting a behavioral change using normative information since providing public information may backfire.

The development of information technology has brought major changes in various aspects of life, including in the way of communication. The government and public institutions have begun to use social media to disseminate information, educate the public, and receive input and complaints effectively and faster. However, the use of social media as a communication tool for Public Relations certainly has challenges. These challenges include strategies for managing the dissemination of information so that the message conveyed can be well received by various circles of society. This study discusses the effectiveness of the use of social media as a communication tool for Public Relations in the Bakalar Regency DPRD office. This study uses a qualitative approach with a descriptive type of research. Data were collected through observation, interviews, and documentation, and analyzed using data presentation, data condensation, and conclusion drawing techniques. The results of the study show that the effectiveness of the use of social media as a communication tool for Public Relations at the Takalar Regency DPRD office is considered less effective which is measured through four indicators, namely the attractiveness of social media is increased by presenting more varied and interesting content. The clarity of information conveyed through social media is enhanced through an orderly structure and the use of easy-to-understand language. The completeness of information requires more relevant content for the public in order to provide ease of access to the Takalar Regency DPRD's social media which utilizes social media platforms in disseminating information

With the rapid development of online media, the phenomenon of emotional reporting has become increasingly prominent, becoming a major issue that disrupts the order of information dissemination and affects public cognition. To pursue traffic effects, some media deliberately adopt exaggerated narratives, oppositional frameworks, and even false information, leading to serious deviations in the public opinion environment. Taking the 2018 Chongqing bus plunge incident as a typical case, this paper systematically analyzes the presentation methods, formation mechanisms of emotional reporting at different stages of the incident, and its negative impacts on public psychology and social trust, combined with the "primacy effect" and "spiral of silence" theories in news psychology. Furthermore, the study proposes targeted countermeasures from three dimensions: media responsibility, public literacy, and platform governance, aiming to provide theoretical reference and practical paths for building a rational and healthy online communication ecology.

An Analysis of the Impact of Information Dissemination Modes of Short Videos on Health Communication on Adolescent Behaviors

Sustainability factors and in particular environmental factors have become increasingly important in recent years for companies, governments and public agencies, but also for many other stakeholders, gaining ground at the expense of financial factors. Non-financial reporting is an area of major interest for companies and researchers, but financial aspects and the quality of financial reporting remain relevant, influencing corporate decisions, including the adoption of short, medium, and long-term sustainability strategies. The two elements, financial and non-financial, mutually influence each other: the adoption of sustainable strategies entails additional costs, leading to lower profits in the short term; while the adoption of sustainability strategies can be beneficial for the profitability of companies in the long term. Thus, this paper aims to study the influence that the dissemination of information on carbon emissions has on the profitability of companies and to confirm or deny the synergy between environmental regulations and the economic development of companies. Moreover, another dimension in which we will approach the research involves analyzing the position in which the carbon disclosures rank in comparison with the ESG score. The study is carried out by using quantitative research methods on a sample of companies in the European Union, and the data used in the research are extracted from the LSEG Data & Analytics (Refinitiv) database and are explained in the paper. The contribution of our study is represented by the simultaneous analysis of the influence that carbon emissions and sustainability performance (ESG score) have on companies' profitability and by bringing together emerging and developed economies in the same study. In order to achieve the research objective, we consider similar research in the literature. We believe that the topic addressed in this paper is topical and may be relevant for future academic research on the case of carbon emissions in relation to corporate profitability.

This article aims to present, based on the analysis of judicial rulings, the constant tension between the right to freedom of expression defended by the mass media and the right to honor, the reputation of public persons. To this end, it is proposed to identify the constituent elements of those rights in certain specific judgments, in order to determine conceptual categories of analysis. The description of these constituent elements will allow to establish the legal framework in which the issuers of information through the mass media and legal specialists can develop for their analysis and legal categorization, especially bearing in mind that the right to social information is linked to different regulations, with different legal effects and the different jurisdictions involved in the determination of responsibilities emerging from the dissemination of information. In this way, the judgments constitute the legal tools that allow to describe the concepts and dimensions that make up each of the mentioned rights. Consequently, this work is carried out from the analysis of certain judicial judgments, specifically selected because it establishes in a concrete and detailed way the different constituent elements of both rights with their pertinent anchorage in the communicational reality of reference and in the corresponding regulations, both national and international.

As the digitisation of public administration continues, the analysis of the environmental impact of platforms providing spatial data is becoming increasingly important. Public geoportals, while serving a crucial role in information dissemination and decision support, are rarely evaluated in terms of their CO₂ emissions or their compliance with environmentally sustainable design principles. In this study, ten selected public geoportals were examined using a comprehensive set of auditing tools, including Ecograder, Website Carbon Calculator, Digital Beacon, Kastor Green, Lighthouse, RankMatch, and the Green Web Evaluator AI agent. The evaluation focused on multiple dimensions, such as page performance, hosting solutions, resource size, accessibility, and the degree of SEO optimisation. The results revealed substantial variation in carbon emissions, ranging from 0.17 to 2.95 g CO₂ per page load, and highlighted numerous shortcomings in technical optimisation and compliance with WCAG accessibility standards. A strong correlation was observed between page size (MB) and carbon emissions, as well as a negative impact of redirect mechanisms on both performance and carbon footprint. These findings indicate the lack of a standardised model for building geoportals that balance functionality with environmental efficiency. The study concludes with a set of actionable recommendations aimed at supporting public institutions in developing geoportals that are more energy-efficient, accessible, and environmentally sustainable.

This descriptive-correlational study utilizes the standardized Research and Development Framework (RDF) to assess the personal profiles of the 48 regular faculty of CBSUA-Sipocot alongside their knowledge and intellectual abilities, and personal effectiveness. This data is analyzed utilizing the Statistical Package for the Social Sciences (SPSS) version 27; frequency count and percentage for personal profiling, mean and ranking for assessing research competence, and Kendall's Tau-b in determining the relationship between personal profiles and research competence because the gathered data is not normally distributed and has several ties rank (Lee, 2025). Out of the 34 non-mandated faculty (instructors and assistant professors), 13 research paper have been completed: seven are collaborative efforts, and five have been published, with two of the published works having been cited. On the other hand, 7 research papers - three collaborative and four published with one citation - have been completed by the 16 faculty members mandated (associate professor) to conduct research. Moreover, the 48 faculty members at CBSUA-Sipocot exhibit moderate level of Knowledge and Intellectual Capacity - Knowledge Base: 3.11, Cognitive Abilities: 3.20, and Creativity: 3.21 - and Personal Effectiveness - Personal Qualities: 3.19, Self-management: 3.17, and Professional and Career Development: 3.11. Finally, the positive significant correlation between the faculty’s profile and research competence – knowledge, creativity, and personal qualities - suggests provision of necessary training, activities, and programs that shall articulate research productivity while maintaining balance between work and leisure.

In the digital era, news serves as a critical medium for shaping public perception, promoting awareness, and guiding social behavior. It informs individuals about current events, political developments, and social issues both locally and globally. However, the rapid growth of online platforms and social media has led to widespread dissemination of misleading, biased, or fabricated news, often propagated to serve personal, political, or commercial interests. Such misinformation undermines public understanding and erodes trust in professional journalism. To address these challenges, this research proposes an intelligent social news platform that enables users to contribute news from their surroundings while ensuring ethical and factual accuracy. Each submitted post undergoes an automated evaluation using decision-making algorithms that verify credibility, assess ethical compliance, and filter out harmful or false content. Verified news is then published, providing users with a reliable and transparent information source. The platform organizes content into thematic categories, including political affairs, regional developments, breaking news, natural disasters, sports, and entertainment. It incorporates location-based filtering and recommendation mechanisms, allowing users to access regionally relevant news while remaining connected to global updates. Additionally, collaborative features such as commenting, reporting inaccuracies, and community verification enhance transparency and foster user engagement. The proposed system aims to reduce misinformation, promote ethical journalism, and empower users to act as both contributors and verifiers of credible news. By integrating algorithmic decision-making with community-driven reporting, the platform fosters a culture of responsibility, accountability, and informed public participation. Ultimately, this research contributes to the development of a trustworthy, user-centered news ecosystem that balances technological innovation with the ethical dissemination of information.

This study aims to develop a novel method for analyzing the complex dissemination patterns of online media news using a social network hypergraph model, addressing the limitations of traditional graph models in capturing many-to-many relationships in news dissemination. The author integrates news content, user nodes, and topic tags into a multi-dimensional hypergraph structure. The approach includes detailed analysis of key elements of news dissemination across four dimensions (subject, content, channel, and effect), construction of the hypergraph model, and design of mechanisms for extracting dissemination paths and evaluating influencing factors. Experiments were conducted on real-world data from multiple social platforms to validate the method's effectiveness. The results demonstrate that the proposed hypergraph model outperforms traditional models (GCN, GAT, and RF) in terms of accuracy, F1 value, and error control. The model effectively reflects the complex structure and dynamic evolution of news dissemination, revealing significant factors such as user activity, topic sensitivity, and structural entropy. This research offers a new perspective on understanding and optimizing online news dissemination by leveraging the hypergraph model's ability to capture multi-dimensional interactions. It provides a more comprehensive and accurate analysis framework, laying a theoretical foundation for constructing efficient information dissemination models.

Human minds may betray but books are one of the oldest and most reliable mediums to preserve the image of a period, a civilisation and its earned knowledge. A book itself acts as a disseminator of information and ideas. But the book has also some publicists: authors, publishers, readers and other stakeholders who publicize books. Books are publicized worldwide by various means through diverse and different media; media includes word-of- mouth, traditional mass media, and newer dimension to human communication, social media. There have been several studies on book marketing in Bangladesh on publishers and booksellers; but there is no study to examine the propensity of using different media for book publicity among native authors, as explored in this study. In the light of three research questions, four related theories and on the basis of surveys and key informant interviews, this qualitative study investigates which medium Bangladeshi authors use most to publicize their books and what are the reasons behind it. The study reveals that two-thirds of the Bangladeshi authors think that social media is becoming an alternative to mass media for book publicity. The study also explored how traditional word- of-mouth is taking newer shape for book publicity. Social Science Review, Vol. 42(1), June 2025, pp. 129-146

The article explores how the availability of climate change news inZimbabwe is pushing the rural communities‟ understanding of threatsposed by climate change on rural livelihoods and ways of life. Climatechange has become a global threat to the rural livelihoods with theerosion of livelihoods leading to rural-urban exodus that is draining ruralbrains. This article is based on the argument that the mainstreaming ofclimate change news increases the awareness of rural people and aidstheir adaptation and resilience strategies. The study used a qualitativemethodology with a bias towards an exploratory research design. Thestudy used focus group discussions and in-depth interviews to gatherdata. The study used purposive sampling and adhered to all ethicalprinciples. It found that climate change is hitting communal areas hardbut rural communities have been benefiting from government and privatemedia of information dissemination of news. The rural communities havebeen building resilience and adaptation to the vagaries of climate change.The study concludes that climate change remains a global threat to foodsecurity and rural development and more focus on climate news targetingrural communities must be introduced to fast-track rural developmentand resilience building. The study recommends the introduction ofcommunity radios and media outlets.

Background: The Government of Nepal has recognized Information and Communication Technology (ICT) as a transformative tool for promoting development, improving public service delivery, and fostering good governance. The 2015 National ICT Policy outlines key priorities for leveraging technology across sectors. E-governance, in particular, is envisaged as an enabler of efficient, transparent, and citizen-centered governance, with local municipalities serving as critical platforms for its implementation. However, the journey from policy to practice is often challenged by infrastructural, institutional, and human capacity constraints. Objectives: This study aims to investigate the role of e-governance in promoting transparency, accountability, and corruption reduction in local governance. Specifically, it explores the use of ICT in e-governance within the context of Dhangadhi Sub-Metropolitan City, an established municipality in Nepal. Methods: The research adopted a positivist paradigm and a descriptive research design. Data were collected through structured questionnaires and interviews with 130 municipal staff members of Dhangadhi Sub-Metropolitan City, selected via simple random sampling. Secondary data were obtained from government publications, policy documents, and relevant literature. Quantitative data were analyzed to assess the status of ICT infrastructure, software application, and digital service delivery. Findings: The findings reveal a mixed implementation status. While foundational ICT infrastructure, such as computer availability and maintenance, is reasonably established (mean scores 3.2-3.6), key digital governance features are underdeveloped. Core administrative software for accounting, tax collection, and e-procurement is widely used and well-regarded (mean scores up to 4.2). However, systems for citizen interaction, grievance handling, social mobilization, and office automation are largely absent or poorly implemented (mean scores 1.2-2.7). Municipalities have official websites and emails, but lack advanced features like content management systems and interactive service portals. Social media is primarily used for one-way information dissemination, not for participatory engagement. Conclusion: The study concludes that while Nepal has made significant strides in establishing the technological foundations for e-governance at the local level, its implementation remains partial and fragmented. The gap between technological availability and effective utilization highlights significant socio-technical barriers, including bureaucratic resistance, limited digital literacy among staff, and a lack of citizen-centric service design. For e-governance to fulfill its potential in enhancing transparency and accountability, a shift from a technology-driven to a people-centered approach is necessary. Implications: The findings imply that future e-governance strategies in Nepal must move beyond infrastructure provision to address deeper institutional and human capacity challenges. Policy should focus on: Institutional Reform: Incentivizing digital innovation within the bureaucracy and fostering a culture of accountability and transparency. Capacity Building: Implementing continuous and widespread digital literacy and technical training programs for civil servants. Citizen-Centric Design: Developing interoperable systems that prioritize citizen needs, such as integrated grievance redressal mechanisms, interactive service portals, and open data initiatives. Scalable Models: Replicating successful participatory models, like those initiated by the Rural Urban Partnership Programme (RUPP), which combine technology with community mobilization.