Public Communication Research Articles

The study of DDPG based spatiotemporal dynamic deployment optimization of Air-Ground ad hoc network for disaster emergency response

In situations where natural disasters damage public communication networks, self-organized emergency communication networks play a vital role as important resources for disaster monitoring and emergency response. Geographical conditions, communication capacity, power availability, terminals’ position changes during disasters, and data volume, on the other hand, have a direct impact on emergency terminals’ effectiveness in disaster monitoring and data processing. As a result, the ability to detect calamities quickly and give real-time reactions suffers. To ensure effective emergency communication coverage when public networks are disrupted, intelligent, rapid and reliable optimization of the spatiotemporal dynamic deployment of Ad Hoc Network (ANET) is crucial for disaster monitoring and emergency response. The Deep Deterministic Policy Gradient (DDPG) method is used in this study to assist the spatiotemporal dynamic deployment of air-ground ANET (AGANET) nodes, including unmanned aerial vehicle (UAV) ANET nodes and ground-based ANET nodes. Its goal is to develop a reliable model for ensuring the deployment of AGANET nodes for multi-terminal disaster monitoring. The paper describes the spatiotemporal dynamic deployment of AGANET nodes and develops a reinforcement learning model. Subsequently, it describes a DDPG reinforcement-based optimization method for the spatiotemporal dynamic deployment of AGANET nodes. Specifically, this method includes a greedy matching strategy based on real-time environmental information of AGANET nodes and ground-based sensing terminals, a DDPG AGANET node three-dimensional initialization algorithm, and a DDPG dynamic solution algorithm for spatiotemporal dynamic deployment reinforcement learning model of AGANET. AGANET nodes and ground-based sensing terminals can all work together in this way to provide high-quality emergency AGANET services. When compared to traditional methods, it offers better communication dependability, enhanced efficiency, and cheaper costs associated with building emergency networks. It is also crucial for emergency response in instances where the public network fails.

Promoting public health equity through strategic information campaigns on social media during the COVID‐19 pandemic: An analysis of pandemic health information campaigns on Twitter in Houston, Texas

AbstractThroughout the coronavirus disease 2019 (COVID‐19) pandemic, reports have indicated vulnerable communities have suffered disproportionately from chronic illness, higher death rates, and unequal access to healthcare. This calls into question the equity of the nationwide vaccination program launched in the United States in 2021, a program with the potential to mitigate the disproportionate burden of the pandemic in these communities. This study investigates the extent to which local government agencies, elected officials, and community‐based organizations (CBOs) engaged in equitable information campaigns during the COVID‐19 pandemic to address health barriers common in vulnerable communities, including issues of access, fear, and language barriers. Using a sui generis data set of COVID‐19 testing and vaccine‐related Twitter posts from local government agencies, elected officials, and CBOs from Houston, Texas, we find that local government agencies were more likely than elected officials and CBOs to engage in equitable information campaigns and that among elected officials, Democrats were more likely than Republicans to engage in equitable messaging. These findings have important implications for communication strategies such as targeted and culturally sensitive messaging. These findings also signal an opportunity for elected officials and CBOs to engage further with their constituents and social networks to share public health information on their public communication platforms.

Inovasi Pelayanan Publik Diskominfo Kota Samarinda di Era Disrupsi: Studi Implementasi Layanan Samarinda Siaga 112 dan Panic Button

In the current era of disruption, the implementation of the Samarinda Siaga 112 Service and the panic button developed by the Samarinda City Communication and Information Service are available as a forum for optimizing public services in terms of handling electronic-based emergencies. Through a qualitative descriptive approach, this research examines the implementation of the Samarinda Siaga 112 and panic button services which refer to Samarinda Mayor Regulation Number 52 of 2019 concerning the Implementation of a Single Emergency Call Number 112 and Panic Button, by focusing on aspects of communication, resources, disposition, bureaucratic structure and the obstacles. This research found that the Samarinda Siaga 112 and panic button services have been implemented well even though there was a decrease in the number of complaint channels after Covid-19 ended because the Samarinda Siaga 112 and panic button services were much more needed during the past Covid-19 pandemic. The operational functioning of this service is reduced andi s still hampered by other obstacles related to technical matters and the characterictics of the population of Samarinda City with the finding that 75,54 percent of incoming callas to Emergency Call 112 are fake calls. However, this service can still be implemented effectively by optimizing existing resources, and contuining to be committed to improving information technology-based public services for the communication in handling various emergency incidents. The role of emergency volunteers is also very significant in implementing this service and better empowerment efforts need to be carried out by the Samarinda City Government. More massive educational efforts are also needed for the people of Samarinda City regarding the urgency of caring and being alert to emergency condotions as well as using media in public service communication wisely and beneficially for others.

New Media: Analisis Konten Etika Komunikasi Publik Humas Pemerintahan pada Akun X @Kemkominfo

This article aims to analyze the ethics of public relations communication in the government on the X @Kemkominfo account in analyzing the content of message delivery to the public. The type of research used is descriptive qualitative, the primary data source focuses on the content of the account which is then analyzed using content analysis. The results show that the government account @Kemkominfo has not yet implemented communication ethics through social media X. This is due to the dislike of netizens towards the arrogant nature of the message responses on an account that should represent part of Indonesia. In addition, the language style used by the admin on the X @Kemkominfo account tends to use slang and is informal.

Constitucionalismo feminista: por uma dogmática constitucional de mulheres africanas

This article demonstrates the failure of African constitutionalism to accompany the evolution of women's civil and political rights on the continent in an equal manner, to the extent that the law has presented itself as an instrument for maintaining power. It guarantees social and political privileges to men, who use cultural pretexts to reaffirm their hegemonic position as the only universal subject and who, at the same time, determine ways of legitimizing patriarchal, sexist and misogynist normativity, conveyed by a phallocentric discourse that limits various rights to women, victims of a policy and legal narrative linked to compulsory maternity, the reducibility of negative freedoms and the non-inclusion of women in the democratic process. This situation ends up affecting reproductive rights, the right to development, the right to work, the right to political participation and the right to participate at state level. On the other hand, there is a naturalization of androcentric and macho culture, which has contributed to high levels of domestic and sexual violence. The article calls for legislative, hermeneutic and public policy communication that can be triggered by African constitutionalism, with a view to achieving gender justice in African states, reversing the structural dimension of naturalized sexism.

"It's not that I don't trust vaccines, I just don't think I need them": Perspectives on COVID-19 vaccination.

In Quebec (Canada), the roll-out of the vaccination started slowly in December 2020 due to limited vaccine supply. While the first and second doses were well-accepted among adults and vaccine uptake was above 90%, in late 2021 and 2022, vaccine acceptance decreased for children vaccination and receipt of a 3rd or a 4th dose. In the autumn of 2022, four focus groups were conducted with vaccine-hesitant parents of children aged 0-4 and adults who expressed little intention to receive a booster dose. The objective of this study was to gather participants' perspectives on vaccination in general, on the COVID-19 vaccination campaign and the information available, and to gain insights into the underlying reasons for their low intention of either having their child(ren) vaccinated, or receiving an additional dose of vaccine. A total of 35 participants took part in the focus groups. While participants expressed a certain level of trust and confidence in public health and government authorities regarding pandemic management and the vaccination campaign, they were also concerned that transparent information was lacking to support an informed decision on booster doses and children's vaccination. Many participants felt adequately protected against the infection during the focus groups, citing a lack of perceived benefits as the primary reason for refusing a booster dose. Parents who refused to administer the COVID-19 vaccine to their young children felt that the vaccine was not useful for children and were concerned about potential side effects. The majority reported that their opinions regarding other recommended vaccines had not changed since the beginning of the pandemic. While these results are reassuring, our findings highlight the importance of transparency in public health communications about vaccines to increase confidence and to develop strategies to address vaccine fatigue and complacency toward COVID-19 vaccines.

General Election Commission Public Communication Strategy in Increasing General Election Participation in Blitar

The Blitar City General Election Commission (KPU) in the 2019 election succeeded in achieving the target number of public participations of 84% compared to 78% in the 2014 election. The KPU's success in increasing public participation in the 2019 election certainly had a good communication strategy. This research aims to determine the KPU's public communication strategy in increasing participation in the 2019 election in Blitar City. This research uses a qualitative approach with data collection techniques in the form of interviews, observation, and documentation. This research uses Lasswell's communication strategy theory, namely selecting and determining communicators, determining target audiences, using techniques for composing messages and choosing media or communication channels. The research results show that the KPU's strategy in determining communicators involves all KPU members and staff, coordinates with relevant stakeholders, and forms ad hoc bodies and Democracy Volunteers. The KPU's strategy in preparing messages is to use language adapted to the target audience, namely local and contemporary languages. The KPU's strategy in choosing media or communication channels uses online, offline, and communication channels. This strategy has succeeded in increasing community participation in accepting political stimuli, individual social characteristics, political systems, political parties, and regional differences so that socialization can be accepted and understood effectively.

Triage implementation in resource-limited emergency departments: sharing tools and experience from the Pacific region

According to the World Health Organization’s (WHO) Emergency Care Systems Framework, triage is an essential function of emergency departments (EDs). This practice innovation article describes four strategies that have been used to support implementation of the WHO-endorsed Interagency Integrated Triage Tool (IITT) in the Pacific region, namely needs assessment, digital learning, public communications and electronic data management.Using a case study from Vila Central Hospital in Vanuatu, a Pacific Small Island Developing State, we reflect on lessons learned from IITT implementation in a resource-limited ED. In particular, we describe the value of a bespoke needs assessment tool for documenting triage and patient flow requirements; the challenges and opportunities presented by digital learning; the benefits of locally designed, public-facing communications materials; and the feasibility and impact of a low-cost electronic data registry system.Our experience of using these tools in Vanuatu and across the Pacific region will be of interest to other resource-limited EDs seeking to improve their triage practice and performance. Although the resources and strategies presented in this article are focussed on the IITT, the principles are equally relevant to other triage systems.

A Novel Vision Transformer Model for Rumor Prediction in COVID-19 Data CT Images

The convergence of healthcare and deep learning has engendered transformative solutions for myriad medical challenges. Amid the COVID-19 pandemic, innovative strategies are imperative to mitigate the propagation of misinformation and myths, which can exacerbate the crisis. This study embarks on a pioneering research quest, harnessing advanced deep learning methodologies, including the novel Vision Transformer (ViT) model and state-of-the-art (SOTA) models, to predict and quell the dissemination of rumors within the COVID-19 milieu. By synergizing the capabilities of Vision Transformers (ViTs) with cutting-edge SOTA models, the proposed approach strives to elevate the precision of information disseminated through traditional and digital media platforms, thereby cultivating informed decision-making and public awareness. Central to this inquiry is the development of a bespoke vision transformer architecture, adeptly tailored to scrutinize CT images associated with COVID-19 cases. This model adeptly captures intricate patterns, anomalies, and features within the images, facilitating precise virus detection. Extending beyond conventional methodologies, the model adroitly harnesses the scalability and hierarchical learning intrinsic to deep learning frameworks. It delves into spatial relationships and finer intricacies within CT scans. An extensive dataset of COVID-19-related CT images, encompassing diverse instances, stages, and severities, is meticulously curated to fully exploit the innovative potential of the vision transformer model. Thorough training, validation, and testing refine the model’s predictive prowess. Techniques like data augmentation and transfer learning bolster generalization and adaptability for real-world scenarios. The efficacy of this research is gauged through comprehensive assessments, encompassing sensitivity, specificity, and prediction accuracy. Comparative analyses against existing methods underscore the superior performance of the novel model, highlighting its transformative influence on predicting and mitigating rumor propagation during the COVID-19 pandemic. Enhanced interpretability sheds light on the decision-making process, augmenting the model’s utility within real-world decision support systems. By harnessing the transformative capabilities of vision transformers and synergizing them with advanced SOTA models, this study offers a robust solution to counter the dissemination of misinformation during the pandemic. The model’s proficiency in discerning intricate patterns in COVID-19-related CT scans signifies a pivotal leap toward combating the infodemic. This endeavor culminates in more precise public health communication and judicious decision-making, ushering in a new era of leveraging cutting-edge deep learning for societal well-being amidst the challenges posed by the COVID-19 era.

A classification and recognition algorithm of key figures in public opinion integrating multidimensional similarity and K-shell based on supernetwork

In online public opinion events, key figures are crucial to the formation and diffusion of public opinion, to the evolution and dissemination of topics, and to the guidance and transformation of the direction of public opinion. Based on the four-dimensional public opinion communication supernetwork (social-psychology-opinion-convergent), this study proposes a classification and recognition algorithm of key figures in online public opinion that integrates multidimensional similarity and K-shell to identify the key figures with differentiation in online public opinion events. The research finds that the evolutionary process of public opinion events is the joint action of key figures with different roles. The opinion leader is the key figure in the global communication of public opinion. The focus figure is the core figure that promotes the dissemination of public opinion on local subnetworks. The communication figure is the “bridge” node in the cross-regional communication of public opinion. Through the algorithm verification of the case “China Eastern Airlines Passenger Plane Crash Event”, we find that the algorithm proposed in this paper has advantages in feasibility, sensitivity, and effectiveness, compared with traditional algorithms such as CI, forwarding volume, degree centrality, K-shell, and multidimensional similarity. The classification and recognition algorithm proposed in this study can not only identify multirole key figures simultaneously but also improve the recognition granularity and eliminate the interference of core-like nodes.

Communicating and complying with COVID-19 actions in northernmost Finland

ABSTRACT In Finland, national and local restrictions were implemented to control the COVID-19 pandemic after the increase of cases, and it changed the everyday life of people. The purpose of our study was to explore public health communication and compliance related to the COVID-19 public health instructions, recommendations, and restrictions in two municipalities in Northernmost Finland, Inari and Utsjoki. We interviewed the representatives and operators working in the municipalities to understand and learn about their experiences. Results suggested that residents complied with different COVID-19 actions, and overall, communication was found to be good. Altogether, guidelines were easy to follow but required the individual’s own activity. Guidelines were also published in Sámi language. National border restrictions were a challenging part of communication and information, and guidelines were found to be contradictory at times. National border actions required resources from the municipalities, e.g. testing, which caused more demands on municipalities operating with already low resources. In the future, it is essential to consider the local situation of the pandemic and harmonise actions and put effort on local cooperation. It is important to invest in clear communication, which reaches people of all ages, and in three Sámi languages.

The development of the international nuclear power plant construction market in the context of nuclear power social acceptability research

Aim. To determine the vector of influence of public opinion on the prospects of development of the international market of nuclear power plant (NPP) construction in the conditions of global energy transition and to formulate the most priority directions of communication work in order to increase the Russian export of nuclear power technologies in the markets of developing countries.Objectives. To identify the current trends of social acceptability of nuclear power in the world; to consider a number of tools used to work with public opinion in the field of improving the reputation of nuclear power in countries-importers of nuclear power technologies; to substantiate the importance of communication work in order to increase Russian exports of nuclear power technologies in the markets of developing countries.Methods. Data from various sociological surveys were used to analyze the current state of social acceptability of nuclear power plants. The key methods of this study are comparative method and case study method.Results. The analysis of the international experience of society’s influence on energy policy has shown that it is impossible to implement international projects in the field of NPP construction without public support for the initiative on nuclear power development. The analysis revealed that one of the competitive advantages of ROSATOM in the international NPP construction market is the inclusion of public communication work in the export offer. Based on the analysis of the results of sociological surveys, it was found out that within the framework of communication work with the public in the importer country it is reasonable to emphasize the economic benefits of NPP operation and continuity of its functioning.Conclusions. The article shows the possibilities of increasing the Russian export of nuclear power technologies in the markets of developing countries, due to the global trend to increase the social acceptability of nuclear power and the presence of relevant competitive advantages, including within the framework of the implementation of communication strategy.

Policy Implementation of Parking Implementation In Pekanbaru City, Riau Province

The aim of this research is to analyze the implementation of parking management policies in Pekanbaru City, the obstacles faced in implementing parking management policies in Pekanbaru City and the ideal and effective policy implementation model for parking management in Pekanbaru City. This research uses the policy implementation theory proposed by Smith which consists of idealized policy, target groups, implementing organization and environmental factors. The research method used is a qualitative approach with descriptive research type. The data analysis technique used is data reduction and drawing conclusions. The results of the research show that the implementation of local government policies in organizing parking in Pekanbaru City has gone well, this can be seen from: idealized policy, proper parking management in Pekanbaru City is able to support the existing transportation system, target groups, very closely related to taking decisions that involve many people, especially the community. implementing organizing, this difference in capacity and competency is one of the aspects that makes the implementation of this policy not optimal. Environmental factors, the obstacle for the Pekanbaru City Parking UPT is the lack of qualified human resources. Barriers to implementing parking policies in Pekanbaru City: commitment to service quality, quality of human resources for government officials and parking attendants, well-developed public communication.

Approaching digital genre composing through reflective pedagogical praxis

With the development of Web 2.0 we have witnessed an ever-expanding repertoire of digital genres. This brings with it new communicative needs and invites us to reflect on possible ways of teaching digital multimodal composing in EAP courses. Using case study research and genre theory as a heuristic, this article critically discusses the implementation of a pedagogical practice that sought to raise the students' rhetorical consciousness of aspects of genre continuity, evolution and innovation, focusing on digital genres of professional and public science communication. The examination of the digital texts composed by the students shows that several factors (genre awareness, genre knowledge transfer, reliance on acquired content and formal schemata and interdiscursive performance) may play an important role when recontextualising specialised content across genres. The study findings also suggest that while rhetorical consciousness facilitates the processes of recontextualising and repurposing content to reach broad audiences, L1 transfer could negatively influence digital genre composing. In light of the findings, I advocate explicit instruction in “metageneric texts” and methodologies for raising awareness of “inter-genre-al” forms across connected genres online. This instruction could support the students’ professional development and the participatory framework for scientific research advocated by the Open Science agenda.

A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset

BackgroundOnline cancer forums (OCF) are increasingly popular platforms for patients and caregivers to discuss, seek information on, and share opinions about diseases and treatments. This interaction generates a substantial amount of unstructured text data, necessitating deeper exploration. Using time series data, our study exploits topic modeling in the novel domain of online cancer forums (OCFs) to identify meaningful topics and changing dynamics of online discussion across different lung cancer treatment intent groups. MethodsFor this purpose, a dataset comprising 27,998 forum posts about lung cancer was collected from three OCFs: lungcancer.net, lungevity.org, and reddit.com, spanning the years 2016 to 2018. ResultsThe analysis reflects the public discussion on multi-intent lung cancer treatment over time, taking into account seasonal variations. Discussions on cancer symptoms and prevention garnered the most attention, dominating both curative and palliative care discussions. There were distinct seasonal peaks: curative care topics surged from winter to late spring, while palliative care topics peaked from late summer to mid-autumn. Keyword analysis highlighted that lung cancer diagnosis and treatment were primary topics, whereas cancer prevention and treatment outcomes were predominant across multi-care contexts. For the study period, curative care discussions predominantly revolved around informational support and disease syndromes. In contrast, social support and cancer prevention prevailed in the palliative care context. Notably, topics such as cancer screening and cancer treatment exhibit pronounced seasonal variations in curative care, peaking in frequency during the summers (May to August) of the study period. Meanwhile, the topic of tumor control within palliative care showed significant seasonal influence during the winters and summers of 2017 and 2018. ConclusionOur text analysis approach using OCF data shows potential for computational methods in this novel domain to gain insights into trends in public cancer communication and seasonal variations for a better understanding of improving personalized care, decision support, treatment outcomes, and quality of life.

Identifying primary frames of official public health reporting in mainland China: a before-and-after policy change analysis using the ANTMN approach

The COVID-19 pandemic has exerted a profound influence on the global landscape, jeopardizing public health and transforming the daily lives of countless individuals. Navigating the complexities of public health communication during this crisis has emerged as a paramount challenge for both governmental institutions and media entities. In response to this quandary, we executed an extensive analysis of 929 official Chinese reports pertaining to COVID-19 on social media platforms, spanning from 7 November 2022, to 7 January 2023. Utilizing the sophisticated methodology of Analysis of Topic Model Networks (ANTMN), we discerned three overarching frameworks (Social Health Resources, Official Public Health Actions, and Dissemination of Health Knowledge) and nine salient themes (Medical Infrastructure, Collective Public Health Initiatives, Epidemiological Trajectories, Governmental Health Interventions, Temporary Recesses, Public Health Regulations, Community-Based Public Health, Medical Supply Distribution, and Health Information Dissemination). Moreover, by juxtaposing media coverage before and after the Chinese government’s adjustment in epidemic policy, we unveiled substantial disparities in the framing and thematic foci among various tiers and genres of media outlets. Our findings illuminate the intricate nature of public health reporting during the COVID-19 pandemic and underscore the necessity for a judicious appraisal of diverse factors.

The Interplay of Knowledge Overestimation, Social Media Use, and Populist Ideas: Cross-Sectional and Experimental Evidence From Germany and Taiwan

Social media expose users to an abundance of information about various issues. But they also make it difficult for users to assess the quality of this information. If users do not recognize this, they may overestimate their knowledge about those issues. Knowledge overestimation may lead to increased social media engagement and can be linked to attitudes deeming expert knowledge inferior to common sense, such as science-related populist attitudes. We investigate this during the COVID-19 pandemic in two preregistered, cross-sectional survey experiments in Germany and Taiwan, two countries with different cultures, media environments, and responses to the pandemic. Our study offers two contributions: First, we develop a novel measure of COVID-19-related knowledge. Second, we provide comparative evidence on how social media affordances shape the interplay between knowledge overestimation, social media exposure and engagement, and populist attitudes. We do not find that frequent exposure to COVID-19 information is associated with a higher likelihood of knowledge overestimation. However, we show that overestimation is linked to more user engagement with social media content about COVID-19. Experimental data indicate that engagement depends on whether users are in a private or public communication environment. We find minor differences between Germany and Taiwan.

Affective, defective, and infective narratives on social media about nuclear energy and atomic conflict during the 2022 Italian electoral campaign

In the digital age, poor public communication catalyzes the spread of disinformation within public opinion. Anyone can produce political content that can reach a global audience, and social media has become a vital tool for political leaders to convey messages to the electorate. The 2022 Italian election campaign has seen the term “nuclear” debated with two different declinations: on the one hand, regarding nuclear energy for civilian use, and on the other hand, regarding the fear of an escalation of the conflict in Ukraine and the use of atomic weapons. This research aims to analyze the social media debate by exploring multiplatform dynamics to qualitatively identify and analyze the connections between social media platforms that we have termed Bridges, a concept drawn from Transmedia Theory to describe the narrative relationship between platforms. The methodological approach will follow an explanatory sequential design that will rely on digital methods to identify connections between platforms (bridges) and then apply an exploratory qualitative approach to enrich the data and capture the nuances of the debate. As expected, we found polarized positions and fragmentation on both issues of civilian nuclear energy and the atomic conflict narrative. Primary evidence shows bridges spreading affective, defective, and infective content across platforms in a multifaceted social media ecosystem. Affective refers to rhetoric that appeals to people’s feelings. Defective means the discussion that brings attention to hyper-partisan news channels, fake news, and misinformation. Infective means bridges with below-the-radar platforms, niche channels, or pseudo-information channels. They use bridges with mainstream platforms to gain the potential to go viral. The paper highlights the importance of cross-platform and interdisciplinary approaches to addressing disinformation in a media ecosystem where social media plays an increasing role in a country’s democratic dynamics.

The role of emotion and social connection during the COVID-19 pandemic phase transitions: a cross-cultural comparison of China and the United States

Leveraging substantial data from China’s Weibo and datasets from Reddit and X (previously Twitter) in the United States, this research explores the disparities and complex dynamics of emotions and social connections among social media users in China and the United States during the COVID-19 pandemic. The findings indicate that the expression of three negative emotions (anxiety, sadness, and anger) and positive emotions exhibited distinctive dynamics under the impact of the pandemic, with China individuals expressing more anxiety but less sadness and anger than those in the US. Moreover, Chinese social media experienced a surge in positive emotional expressions under lockdown, whereas the US witnessed a conspicuous decline in positive emotions. Also, the expression of three types of social connections - “family”, “collective”, and “country”-exhibited significant differences under the impact of the pandemic, with Chinese individuals establishing deeper connections with their country and American individuals leaning towards familial connections. Further analysis on the moderating effects of social connections substantiated that the “country” connection in China and the “family” connection in the US mitigated the negative emotions affected by the pandemic. These findings facilitate a deeper understanding of how cultural contexts shape social and psychological responses in crises. Based on topic analysis and forward-looking orientation analysis, this study dissects the aforementioned findings through the dichotomy of collectivist and individualist cultures, providing new insights for social psychological support and emotional guidance in the development of public health communication strategies in the future.

Gaya Komunikasi Publik Joko Widodo dalam Pemilihan Presiden dan Wakil Presiden

The background of this study is situation The 2024 General Election began several years previously with the previous period coalition party bearer candidate president and vice presidential candidate, period after coalition party bearer candidate president and vice presidential candidate formed until approaching announcement candidate presidential and vice presidential candidates by party bearer. In the context that, Joko Widodo Still took office as President and communicated to the public with a diverse style of communication; the study aims to explain and analyze the Communication Style of Joko Widodo's Politics in the Election of President and Vice President in the 2024 General Election. Approach qualitative with paradigm constructivist used through method analysis Roland Barthes' Semiotics. The unit of analysis used is a Kompas TV YouTube video. The result shows Communication Style Joko Widodo's Politics in the Election President and Vice President in the 2024 General Election shows dynamics from before _ nomination President and Vice President, the future is approaching nomination President and Vice President to Commission General Election until the campaign period. In the early days of the General Election, Jokowi showed a Communication Style Controlling Style; in the future, Jokowi's public communication style Structuring Style during the campaign period in a way open, Jokowi pointed out style public communication Dynamic Style.