Public Information Dissemination Research Articles

Multidimensional sentiment analysis method on social media data: comparison of emotions during and after the COVID-19 pandemic

PurposeThis study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.Design/methodology/approachA mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.FindingsThe results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.Research limitations/implicationsThe primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.Practical implicationsUnderstanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.Social implicationsThe study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.Originality/valueThis research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.

Enhancing public information quality during the Covid-19 pandemic: A cyber public relations strategy on local government initiatives

The Covid-19 pandemic has induced widespread fear, emphasizing the imperative for high-quality public information dissemination to alleviate societal anxiety. This research examined the Cyber Public Relations (Cyber PR) strategies implemented by the Communication and Informatics Office or Dinas Komunikasi dan Informatika (Diskominfo) of Jepara Regency in disseminating quality public information during the ongoing pandemic. Utilizing a qualitative case study methodology, the study focused on the efforts of Diskominfo Jepara to enhance public information quality, specifically related to Covid-19 data updates, health protocol campaigns, and the Covid-19 vaccination campaign. Data collection involved in-depth interviews, observations, and documentation. The analysis employed the Cyber PR framework, assessing dimensions such as strategic, integrated, targeted, and measurable, alongside indicators like intrinsic, contextual, representational, and accessibility for scrutinizing public information quality. Findings revealed some key elements in Diskominfo Jepara's Cyber PR strategies, including the establishment of a comprehensive digital media center, active engagement with media outlets, collaborations with influencers, and the utilization of Key Opinion Leaders (KOLs). These strategies have been intricately developed based on situational analysis and predefined communication objectives. The research contributes significantly to the academic literature on Cyber PR in local government contexts, providing nuanced insights and enriching the reference landscape.

Trust in Mass Media as Sources of Cancer Information: Findings from a Nationally Representative Cross-Sectional Survey in Japan

Trust is a major factor in effective public dissemination and use of relevant health information to guide important health decisions. To examine mass media as a communication channel for delivering cancer information among Japanese adults, we identified the level of trust in various types of mass media as sources of cancer information, and examined factors associated with trust, including exposure to mass media, sociodemographic factors, and cancer history. Data were analyzed for 3,109 Japanese adults who responded to a nationally representative cross-sectional mail survey. Data included trust in cancer information sources, sociodemographic variables, cancer history, and exposure to mass media. Logistic regression analysis was used. The prevalence of high trust in cancer information sources was highest for physicians (94.7%). Among mass media, Internet (47.2%) was the most trusted source of cancer-related information, followed by television (44.3%), newspapers/magazines (42.7%), and radio (32.7%). The high-exposure group for newspapers (AOR = 1.28, 95%CI = 1.07–1.54) was more likely to trust newspapers. Similarly, high-exposure groups for radio (1.22, 1.02–1.45), Internet (1.21, 1.01–1.45), and television (1.30, 1.10–1.53) were positively associated with trust in each media type. Although trust in mass media was lower than trust in physicians, the study found that a large group of respondents had high levels of trust in mass media sources. Trust in cancer information from each mass media type was mainly related to the level of exposure to each mass media type. Developing health communication strategies using mass media may be effective for disseminating relevant cancer information in Japan.

The impact of social media advertisements and treatments on the dynamics of infectious diseases with optimal control strategies

The dissemination of public health information through television and social media posts is essential for informing the public about the transmission of contagious diseases, which is crucial in preventing the spread of various infectious diseases. In this paper, we propose a non-linear mathematical model to assess the effect of advertisements through social media in creating awareness and limiting treatment on spreading infectious diseases. These initiatives may alter population behaviour and divide the susceptible population into subgroups. In addition, to comprehend these dynamics better, we use half-saturation constant rates for media coverage and treatment. The model’s well-posedness and feasibility are evaluated. The possible biological equilibrium points are calculated. Local and global stability are carried out. The objective of our study is to produce the model’s bifurcation. Transcritical, Saddle–node, Hopf bifurcation of codimension 1 and Cusp, Generalized-Hopf (Bautin), and Bogdanov–Takens (BT) bifurcation of codimension 2 are studied for this purpose. Due to the limited medical resources and supply efficiency, the model exhibits backward bifurcation, resulting in bistability. Moreover, the occurrence condition for stability and direction of Hopf bifurcation is discussed. This model study demonstrates that the system is significantly influenced by the pace with which awareness programmes are implemented and that raising this value above a threshold may result in continuous oscillation. Sensitivity analysis employs the normalized forward sensitivity index of the basic reproduction number to provide a comprehensive understanding of the effect of various parameters on accelerating and limiting disease spread. Further, the minimum possible cost is determined by formulating an optimal control system based on sensitivity analysis and applying Pontryagin’s maximum principle. Methods of cost-effectiveness, such as ACER and ICER, are used to determine the most cost-effective control intervention strategy among all the strategies. Numerical simulations have been done to support all theoretical findings.

Determinants of public emergency information dissemination on social networks: A meta-analysis

The dissemination of public emergency information on social networks is one of the key concerns for emergency management. Guided by Persuasive and Communication theory, this meta-analysis synthesized 21 empirical studies with a total sample of 1,232,945 individuals to quantify the relationship between various factors and the dissemination of public emergency information. Findings indicated that factors from the information receiver-related aspects (social motivation and emotional motivation) as critical antecedents at a medium-to-large level, whereas information source-related aspects (attractiveness and credibility) yield small, positive, and significant correlations. Among the information-related factors, only the emotional intensity of information was found to have a moderately strong positive relationship with emergency information dissemination. Moderator analysis further revealed that the impacts of several antecedents varied for different types of emergencies. The results of this study reconcile and clarify inconsistencies in research and make theoretical and practical contributions to the field of public emergency information.

Exploring the Research on Media Communication Strategies of Public Welfare and Charity Organizations in the Context of Social Governance Innovation

Abstract In the context of social governance innovation, the integration and sharing of information are studied through the construction of an information-sharing platform. The process of interpreting the evolution of new media information dissemination includes analyzing the characteristics and laws of information dissemination on various platforms. Based on the existing scale of public welfare charities, the kinetic evolution equation of the public welfare information dissemination model is established to describe the dissemination process of public welfare information and its influencing factors. The impact of media intervention on the final scale of public welfare information dissemination is analyzed using the collected Facebook dataset as the background, and it is found that the higher the media credibility is at t = 4, the public welfare information attracts media attention. After the release of public interest information, the immunity node began to show a gradual upward trend, reaching a maximum of 1.0. Indicating that after the media release of public interest information, the final scale of dissemination of public interest information increases.

Message Fatigue and COVID-19 Vaccine Booster Uptake in the United States

Dissemination of public health information plays an essential role in communicable disease control and prevention. However, widespread and repeated messaging could become counterproductive if it leads to avoidance and disengagement due to message fatigue. Americans have been inundated with accurate and inaccurate COVID-19 information from myriad sources since the start of the pandemic. Using the health belief model (HBM) as a guiding framework, this study examines COVID-19-related message fatigue among adults in the United States who have gotten at least one dose of a COVID-19 vaccine and the association between message fatigue and COVID-19 booster uptake and intentions. A special survey module of The COVID States Project was fielded between August and September 2022 (n = 16,546). Results showed moderately high levels of message fatigue among vaccinated individuals. Message fatigue was negatively associated with the likelihood of having gotten a COVID-19 booster and intentions to do so among those who had not yet received a booster, above and beyond variance explained by the HBM constructs. These findings underscore the importance of monitoring and mitigating COVID-19-related message fatigue in encouraging the public to stay up to date with COVID-19 vaccination.

A deep learning and clustering‐based topic consistency modeling framework for matching health information supply and demand

AbstractImproving health literacy through health information dissemination is one of the most economical and effective mechanisms for improving population health. This process needs to fully accommodate the thematic suitability of health information supply and demand and reduce the impact of information overload and supply–demand mismatch on the enthusiasm of health information acquisition. We propose a health information topic modeling analysis framework that integrates deep learning methods and clustering techniques to model the supply‐side and demand‐side topics of health information and to quantify the thematic alignment of supply and demand. To validate the effectiveness of the framework, we have conducted an empirical analysis on a dataset with 90,418 pieces of textual data from two prominent social networking platforms. The results show that the supply of health information in general has not yet met the demand, the demand for health information has not yet been met to a considerable extent, especially for disease‐related topics, and there is clear inconsistency between the supply and demand sides for the same health topics. Public health policy‐making departments and content producers can adjust their information selection and dissemination strategies according to the distribution of identified health topics, thereby improving the effectiveness of public health information dissemination.

Comparative analysis of trending tweets in Twitter during the year 2022 on days of public health significance

The use of social media in healthcare communication has expanded, public dissemination of health-related information is less common. Objective of the study was to compare the number of tweets received by public health campaigns with trending tweet and likes in twitter on those specific days. Recent posts with hashtags of nine general health and five dental public health related campaigns between 01 January 2022 to 31 December 2022 were selected from Twitter based on public health importance. We looked for top trending campaigns that had the most global reach. Descriptive statistical analysis was performed. Among the nine general health campaigns, no likes were received for five campaigns and three campaigns got likes which were greater than the trending campaigns. Among the oral health related tweets, only National tooth brushing day campaign garnered 76000 likes and none of the other oral health related tweet garnered likes. Future Twitter-based health campaigns should emphasize image-based information endorsed by a reputable organization. Further support for this message from well-known twitter users could expand the information's reach.  

Implementasi Keterbukaan Informasi Publik Pemerintah Kabupaten Mukomuko, Provinsi Bengkulu

The implementation of public information disclosure in Mukomuko Regency through the Office of Communication and Informatics has been running through the formation of PPID Mukomuko in 2014, but the legal regulations were only formed after the Office of Communication and Informatics was established in January 2017. The purpose of this research is to find out why the Communication and Informatics Office implements public information disclosure and to find out how the implementation process of public information disclosure in Mukomuko Regency is carried out. This research uses a kaulitative approach and case study method, collecting data through observation, interviews and documentation. The results showed that the Mukomuko District Government has implemented the dissemination of public information transparently to the public to date, through the establishment of PPID devices (Information Management and Documentation Officers) and routinely conducting evaluations every year.

Womens Discourse Dilemma from the Perspective of Social Media: Taking Reports and Comments on Social Events on Weibo as an Example

The emergence of the new media period has transformed social media into a public forum for the dissemination of public information, and the enhancement of user voice and demand has given feminism a new context and given women a free platform to express themselves. However, the ability of women to talk freely still faces significant restrictions as a result of the long-lasting effects of history and culture as well as the bias of the news media system. This essay attempts to explain the current situation of the absence of womens voices on the platform by using Weibo, the dominant force of Chinese social platforms, as the research object. The research method of case analysis is used to broaden the analysis based on the facts and material already available. The research results emphasize the plight of womens lack of voice in society, and put forward some relevant countermeasures from three different perspectives: media, women themselves, and social culture, to encourage the growth of womens voice on social platforms and ultimately achieve gender equality.

The Effect of Racial Concordance on Patient Trust in Online Videos About Prostate Cancer

Black men have a higher risk of prostate cancer compared with White men, but Black adults are underrepresented in online content about prostate cancer. Across racial groups, the internet is a popular source of health information; Black adults are more likely to trust online health information, yet have more medical mistrust than White adults. To evaluate the association between racial representation in online content about prostate cancer and trust in the content and identify factors that influence trust. A randomized clinical trial was conducted from August 18, 2021, to January 7, 2022, consisting of a 1-time online survey. Participants included US men and women aged 40 years and older. Data were analyzed from January 2022 to June 2023. Participants were randomized to watch the same video script about either prostate cancer screening or clinical trials presented by 1 of 4 speakers: a Black physician, a Black patient, a White physician, or a White patient, followed by a questionnaire. The primary outcome was a published scale for trust in the information. χ2 tests and multivariable logistic regression were used to compare trust according to the video's speaker and topic. Among 2904 participants, 1801 (62%) were men, and the median (IQR) age was 59 (47-69) years. Among 1703 Black adults, a greater proportion had high trust in videos with Black speakers vs White speakers (72.7% vs 64.3%; adjusted odds ratio [aOR], 1.62; 95% CI, 1.28-2.05; P < .001); less trust with patient vs physician presenter (64.6% vs 72.5%; aOR, 0.63; 95% CI, 0.49-0.80; P < .001) and about clinical trials vs screening (66.3% vs 70.7%; aOR, 0.78; 95% CI, 0.62-0.99; P = .04). Among White adults, a lower proportion had high trust in videos featuring a patient vs physician (72.0% vs 78.6%; aOR, 0.71; 95% CI, 0.54-0.95; P = .02) and clinical trials vs screening (71.4% vs 79.1%; aOR, 0.57; 95% CI, 0.42-0.76; P < .001), but no difference for Black vs White presenters (76.8% vs 73.7%; aOR, 1.11; 95% CI, 0.83-1.48; P = .49). In this randomized clinical trial, prostate cancer information was considered more trustworthy when delivered by a physician, but racial concordance was significantly associated with trust only among Black adults. These results highlight the importance of physician participation and increasing racial diversity in public dissemination of health information and an ongoing need for public education about clinical trials. ClinicalTrials.gov Identifier: NCT05886751.

Leveraging Multiyear, Geospatial Social Media Data for Health Policy Evaluations: Lessons From the Philadelphia Beverage Tax.

Public reactions to health policies are vital to understand policy sustainability and impact but have been elusively difficult to dynamically measure. The 2021 launch of the Twitter Academic Application Programming Interface (API), allowing for historical tweet analyses, represents a potentially powerful tool for complex, comprehensive policy analyses. Using the Philadelphia Beverage Tax (implemented January 2017) as a case study, this research extracted longitudinal and geographic changes in sentiments, and key influencers in policy-related conversations. The Twitter API was used to retrieve all publicly available tweets related to the Tax between 2016 and 2019. Twitter. Users who posted publicly available tweets related to the Philadelphia Beverage Tax (PBT). Tweet content, frequency, sentiment, and user-related information. Tweet content, authors, engagement, and location were analyzed in parallel to key PBT events. Published emotional lexicons were used for sentiment analyses. A total of 45 891 tweets were retrieved (1311 with geolocation data). Changes in the tweet volume and sentiment were strongly driven by Tax-related litigation. While anger and fear increased in the months prior to the policy's implementation, they progressively decreased after its implementation; trust displayed an inverse trend. The 50 tweeters with the highest positive engagement included media outlets (n = 24), displaying particularly high tweet volume/engagement, and public personalities (n = 10), displaying the greatest polarization in tweet sentiment. Most geo-located tweets, reflecting 321 unique locations, were from the Philadelphia region (55.2%). Sentiment and positive engagement varied, although concentrations of negative sentiments were observed in some Philadelphia suburbs. Findings highlighted how longitudinal Twitter data can be leveraged to deconstruct specific, dynamic insights on public policy reactions and information dissemination to inform better policy implementation and evaluation (eg, anticipating catalysts for both heightened public interest and geographic, sentiment changes in policy conversations). This study provides policymakers a blueprint to conduct similar cost and time efficient yet dynamic and multifaceted health policy evaluations.

Implementation Of Public Housing Management Policy: A Case Study In Rusunawa Of Cimahi, West Java, Indonesia

Insufficient and affordable vertical housing (rusunawa) availability is still emerging as an alternative option for temporary residence for low-income individuals. Therefore, this study purposes to explore the implementation of Rusunawa management policies managed by local governments in Indonesia. The theoretical framework used to analyze policy implementation is based on Kearns and Lawson's (2008) concept, which examines four factors: 1) the policy itself, 2) implementing agencies, 3) inter-organizational relations, and 4) social and political factors. This research adopts a qualitative case study approach, focusing on three Rusunawa (vertical housing) facilities managed by the Cimahi Government. The data were collected within interviews with 18 respondents using purposeful sampling, employing open-ended questions complemented by observation and analysis of relevant documents. The implications of this research highlight the requirement for public rental housing management policies to consider the income criteria of prospective residents, rental period duration, and budget allocation for expanding the Rusunawa Public Service Unit (PSU), effective communication and information dissemination channels, and improved Rusunawa management practices. The findings underscore the socio-economic factors influencing the beneficiaries of general rental housing policies, along with the budgetary requirements for expanding the Rusunawa PSU, optimizing communication and information channels, and enhancing the overall management of Rusunawa facilities.

Above management: Scale development and empirical testing for public opinion monitoring of marine pollution

The marine eco-environment is receiving increasing attention globally, and the rapid development of network technology has enabled individuals to express their dissatisfaction and appeals for marine pollution through public engagement measures, particularly on network platforms. As a result, chaotic public opinions and information dissemination on marine pollution are becoming more prevalent. Previous studies have mainly focused on practical measures of marine pollution management, with limited exploration of how to prioritize the monitoring of public opinions on marine pollution. This study aims to develop a comprehensive and scientific measurement scale for public opinion monitoring on marine pollution by defining its implications and dimensions, verifying its reliability, validity, and predictive validity. The research defines the implications of public opinion monitoring regarding marine pollution based on previous literature and experience, using empathy theory as an entry point. The study uses text analysis to explore the internal laws of topic data on social media sites (n = 12,653), forming a theoretical conception of public opinion monitoring composed of three Level 1 dimensions (empathy arousal, empathy experience, and empathy memory). Based on research conclusions and related measurement scales, the study compiles the measurement items to develop the initial scale. Finally, the study verifies the scale reliability and validity (n1 = 435, n2 = 465) and predictive validity (n = 257). Results show that the public opinion monitoring scale has good reliability and validity, and the three Level 1 dimensions have a high level of interpretation for public opinion monitoring and good predictive validity. This research expands the application scope of public opinion monitoring theory and emphasizes the significance of public opinion management on the basis of traditional management research, increasing marine pollution managers' attention to the public domain of the network. Furthermore, it provides public opinion monitoring instruments for marine pollution through scale development and empirical research, reducing the occurrence of public trust crises and creating a stable and harmonious network environment.

The Construction of the Network Media as an Ideal model of Public Information Dissemination During the Epidemic of Novel Coronavirus Pneumonia

The Construction of the Network Media as an Ideal model of Public Information Dissemination During the Epidemic of Novel Coronavirus Pneumonia

International access level to administrative services in electronic format

The article states that the functioning of public authorities and their provision of services is based on justice and equality. A key criterion for the effectiveness of the governments of modern states is the availability of public services, as this proves whether they are able to adequately respond to the variety of individual and public legal needs, and therefore take care of the creation and adaptation of appropriate content, ensuring proper communication for the dissemination of public information.&#x0D; It has been established that obstacles to access to public services can be different, for example: geographical distance, inappropriate conditions for users, lack of awareness or use of overly complex wording, inconvenient working hours or organizational difficulties in serving the population. All this can negatively affect the quality of service provision, provoke problems with the legitimacy of the entire apparatus of public authority.&#x0D; As evidenced by the experience of foreign countries, the economic costs of obtaining a state service and its maintenance can become a significant obstacle to access. This factor can also negatively affect citizens' trust in state institutions.&#x0D; Therefore, it was established that the key to the availability of public services is their conversion into electronic form. The electronic platform must be inclusive and provide equal access opportunities for all citizens. Therefore, the concept of accessibility in the context of web applications is related to the availability of information for all users, regardless of the technologies and platforms used, sensory and functional capabilities of the user. E-government services should provide mechanisms that will help to overcome traditional physical barriers, that is, to make the administrative services accessible to people with special needs as much as possible.

COVID-19 Vaccine-Related Information on the WeChat Public Platform: Topic Modeling and Content Analysis.

The COVID-19 vaccine is an effective tool in the fight against the COVID-19 outbreak. As the main channel of information dissemination in the context of the epidemic, social media influences public trust and acceptance of the vaccine. The rational application of health behavior theory is a guarantee of effective public health information dissemination. However, little is known about the application of health behavior theory in web-based COVID-19 vaccine messages, especially from Chinese social media posts. This study aimed to understand the main topics and communication characteristics of hot papers related to COVID-19 vaccine on the WeChat platform and assess the health behavior theory application with the aid of health belief model (HBM). A systematic search was conducted on the Chinese social media platform WeChat to identify COVID-19 vaccine-related papers. A coding scheme was established based on the HBM, and the sample was managed and coded using NVivo 12 (QSR International) to assess the application of health behavior theory. The main topics of the papers were extracted through the Latent Dirichlet Allocation algorithm. Finally, temporal analysis was used to explore trends in the evolution of themes and health belief structures in the papers. A total of 757 papers were analyzed. Almost all (671/757, 89%) of the papers did not have an original logo. By topic modeling, 5 topics were identified, which were vaccine development and effectiveness (267/757, 35%), disease infection and protection (197/757, 26%), vaccine safety and adverse reactions (52/757, 7%), vaccine access (136/757, 18%), and vaccination science popularization (105/757, 14%). All papers identified at least one structure in the extended HBM, but only 29 papers included all of the structures. Descriptions of solutions to obstacles (585/757, 77%) and benefit (468/757, 62%) were the most emphasized components in all samples. Relatively few elements of susceptibility (208/757, 27%) and the least were descriptions of severity (135/757, 18%). Heat map visualization revealed the change in health belief structure before and after vaccine entry into the market. To the best of our knowledge, this is the first study to assess the structural expression of health beliefs in information related to the COVID-19 vaccine on the WeChat public platform based on an HBM. The study also identified topics and communication characteristics before and after the market entry of vaccines. Our findings can inform customized education and communication strategies to promote vaccination not only in this pandemic but also in future pandemics.

ANALISIS E-GOVERNMENT TERHADAP PELAYANAN PUBLIK PADA DIREKTORAT JENDERAL KEPENDUDUKAN&amp;PENCATATAN SIPIL KEMENTERIAN DALAM NEGERI

E-government which can be broadly defined as the utilization of information and communication technology and the internet which has the ability to transform relations with citizens, business people and other government institutions. The development of Information and Communication Technology (ICT) is currently very rapid and of course it must be addressed positively to increase community participation in realizing the principles of good governance (Good Governance). This study uses a qualitative research method with a descriptive approach. Sources of data in this study are observation, literature, articles, journals, scientific research and sites on the internet. The Ministry of Home Affairs has a public service unit, one of which is the Directorate General of Population &amp; Civil Registration, of course it is required to provide optimal service to the community. The implementation of e-government, related to service and dissemination of public information at the Ministry, especially at the Directorate General of Population and Civil Registration is already good and in the medium category, and still needs to be repaired and improved. The Ministry of Home Affairs in implementing e-government fulfills the first stage, namely information publishing and the two "official" two-way transactions based on the Deloitte &amp; Touche framework and from the Government to Citizen (G2C) sector are included in the category, namely e-governance, e-service, and e-knowledge

Taxpayers’ Perception of Public Sector Fiscal Responsibility and Voluntary Tax Compliance Behaviour in Rivers State, Nigeria

This study which is on the influence of taxpayers' perception of  public sector fiscal responsibility on voluntary tax compliance is motivated by the quality of government fiscal responsibility, the level of tax compliance by the public and the reported low level of tax buoyancy and elasticity in Nigeria. The study adopts cross sectional survey research design.  Four hundred and three (403) copies of valid questionnaire were used for the study; this represents 85% of the respondents. The collected data were analyzed using both descriptive and inferential statistics. The proposed hypotheses for the study were tested using regression analysis. The study provides evidence to show that voluntary tax compliance is low in Rivers State, Nigeria as on the average, voluntary tax compliance produced a mean score of 2.0928 and standard deviation of 0.469592.The study also provides evidence indicating that public accountability, government fiscal transparency, balanced and surplus budget, public information dissemination and government public engagements are key drivers of voluntary tax compliance and their relationships with voluntary compliance are positive and significant. Hence, it could be reasonably concluded that voluntary tax compliance is lacking in Rivers State leading to the recommendations that revenue authorities in Rivers State, Nigeria should intensify efforts to identify,  register and bring to the tax net all eligible taxpayers operating in the formal and informal sectors by synergizing with financial firms and various professional bodies and trade unions. Public institutions should make public accountability and fiscal transparency their core mandate so as to earn public confidence  geared towards improved tax compliance behaviour.