Types Of Messages Research Articles

Public Relations Discourse on X (Twitter) and Analysis of Public Relations

In the twenty-first century, public relations gained a new form along with digital media, as well as having a wider area of dialogue. Especially social media offers new opportunities for the development of public relations strategies that focus on building and developing relationships with sharers. While creating dialogical, interactive and relationship development-oriented strategies with social media as a part of public relations, it is also thought to contribute to the development of theory and practice. As previous studies have focused on how web-based communication is used for public relations purposes, this study aims to reveal what is published about public relations on X (Twitter) and how the features of the platform can contribute to public relations practices. In order to examine how public relations discourse is represented on social media, the contents obtained by using the hashtags #halklailiskiler and # publicrelations on X (Twitter) were analyzed. Using content analysis, an exploratory research focused on the type of messages shared and the themes that emerged about public relations were evaluated qualitatively. As a result of the research, the possibilities of acquiring, developing and distributing information in the field of public relations and the ability to strengthen the public relations strategy of social media are emphasized. Since the study covers a two-month period and is researched through a single medium, it has been interpreted with limited data.

ИНТЕРНЕТ-МЕМ ЕРЕКШЕЛІКТЕРІ

The article analyzes one of the Internet communication tools that has recently become widespread on social networks – the Internet meme. An Internet meme is a unique communicative unit consisting of a two-level structure: linguistic (verbal) and visual (graphic), which is the creation of network users, offering a certain subtext to the online community. The work describes the path of its origin and development, and also studies the ideas developed in scientific works. Taking into account the media nature of Internet memes and distinguishing them from other types of online messages, the factors influencing their rapid spread and popularization are determined. It is shown that this depends on its quality and competitiveness. It is clear that creating such an Internet meme requires considerable effort on the part of the author: the Internet meme must be creative, interesting, and its idea must be fresh and original. In this regard, it was concluded that some memes «live» on the network for a long time, others are forgotten the next day, others are even ignored, and others are suddenly «reborn» thanks to a random user

What Adolescents Say in Text Messages to Motivate Peer Networks to Access Health Care and Sexually Transmitted Infection Testing: Qualitative Thematic Analysis.

While rates of HIV and sexually transmitted infections (STIs) are extremely high among adolescents and young adults in the United States, rates of HIV and STI testing remain low. Given the ubiquity of mobile phones and the saliency of peers for youths, text messaging strategies may successfully promote HIV or STI testing among youths. This study aimed to understand the types of messages youths believe were motivating and persuasive when asked to text friends to encourage them to seek HIV or STI testing services at a neighborhood clinic. We implemented an adolescent peer-based text messaging intervention to encourage clinic attendance and increase STI and HIV testing among youths (n=100) at an adolescent clinic in San Francisco, California. Participants were asked to send a text message to 5 friends they believed were sexually active to encourage their friends to visit the clinic and receive STI or HIV screening. Thematic analysis was used to analyze the content of the text messages sent and received during the clinic visit. Member checking and consensus coding were used to ensure interrater reliability and significance of themes. We identified four themes in the messages sent by participants: (1) calls to action to encourage peers to get tested, (2) personalized messages with sender-specific information, (3) clinic information such as location and hours, and (4) self-disclosure of personal clinic experience. We found that nearly all text messages included some combination of 2 or more of these broad themes. We also found that youths were inclined to send messages they created themselves, as opposed to sending the same message to each peer, which they tailored to each individual to whom they were sent. Many (40/100, 40%) received an immediate response to their message, and most participants reported receiving at least 1 positive response, while a few reported that they had received at least 1 negative response. There were some differences in responses depending on the type of message sent. Given the high rates of STI and HIV and low rates of testing among adolescents, peer-driven text messaging interventions to encourage accessing care may be successful at reaching this population. This study suggests that youths are willing to text message their friends, and there are clear types of messages they develop and use. Future research should use these methods with a large, more diverse sample of youths and young adults for long-term evaluation of care seeking and care retention outcomes to make progress in reducing HIV and STI among adolescents and young adults.

Virtual vs. human influencer: Effects on users’ perceptions and brand outcomes

In the recent wave of artificial intelligence-based innovations, Virtual influencers (VIs) are one of the newest and most promising innovations. Despite their indisputable potential, still little is known about users' reactions to non-human endorsers. Our experimental study investigates users' perceptions of VIs engaged in sponsorship activities on Instagram, examining the impact of the influencer's nature (human vs. virtual) and possible interaction effects of the type of message conveyed (hedonic vs. utilitarian) on the influencer and brand-related variables. In line with the idea that individuals apply human social rules when interacting with computers, as established in the CASA paradigm, our results from an online sample (N = 238) show that disclosing the synthetic nature of a fully anthropomorphized virtual persona does not affect influencer and brand perceptions. Despite virtual influencers' objective lack of capacity to perceive and feel affective and sensorial information, their acceptance by the users is not hindered by an emotion-based communicative style. The research provides social and business implications for companies aiming to implement virtual influencers successfully.

Prioritization and scheduling in the vehicle-to-infrastructure (V2I) scheme for vanets using enhanced congestion control source based ant colony optimization

Mobile ad hoc networks (MANETs), which include vehicular ad hoc networks (VANETs), are a promising method for intelligent transportation systems. The major challenges of VANET protocols are symmetric links and changing topology of the networks and hence a proper routing method is necessary for VANET. A crucial issue with VANETs is the transmission of data from a starting point to the base station. To discover the least path with the lowest cost and fewest hops between the source and the destination, existing work uses a novel priority-based direction-aware collision avoidance (P-DVCA). To direct the ants to develop a shorter path with fewer hops for data transmission, the suggested method uses the prioritising and scheduling enhanced congestion control-based source ant colony optimization (ECC-ACO) for VANETs. Based on the message type and network situation, this technique provides precedence for privacy messages communications. Privacy messages can also be divided into beacon messages and occurrence messages. At that point, each message is routed into the appropriate queue predicated on its primary consideration, and each message in each queue is planned. When compared to renowned VANET communication architecture, simulation and analytical findings show that proposed ECC-ACO offers a respectable reduction in collisions.

The effect of cognitive behavioral therapy text messages on mood: A micro-randomized trial.

The StayWell at Home intervention, a 60-day text-messaging program based on Cognitive Behavioral Therapy (CBT) principles, was developed to help adults cope with the adverse effects of the global pandemic. Participants in StayWell at Home were found to show reduced depressive and anxiety symptoms after participation. However, it remains unclear whether the intervention improved mood and which intervention components were most effective at improving user mood during the pandemic. Thus, utilizing a micro-randomized trial (MRT) design, we examined two intervention components to inform the mechanisms of action that improve mood: 1) text messages delivering CBT-informed coping strategies (i.e., behavioral activation, other coping skills, or social support); 2) time at which messages were sent. Data from two independent trials of StayWell are included in this paper. The first trial included 303 adults aged 18 or older, and the second included 266 adults aged 18 or older. Participants were recruited via online platforms (e.g., Facebook ads) and partnerships with community-based agencies aiming to reach diverse populations, including low-income individuals and people of color. The results of this paper indicate that participating in the program improved and sustained self-reported mood ratings among participants. We did not find significant differences between the type of message delivered and mood ratings. On the other hand, the results from Phase 1 indicated that delivering any type of message in the 3 pm-6 pm time window improved mood significantly over sending a message in the 9 am-12 pm time window. The StayWell at Home program increases in mood ratings appeared more pronounced during the first two to three weeks of the intervention and were maintained for the remainder of the study period. The current paper provides evidence that low-burden text-message interventions may effectively address behavioral health concerns among diverse communities.

Perancangan Aplikasi Desktop Monitoring Kapal dan Penyimpanan Data AIS dengan RTL-SDR dan Raspberry Pi Menggunakan Python dan PyQt

This research aims to develop a desktop application for Monitoring Ships and storing data from the Automatic Identification System (AIS) utilizing Realtek Software Defined Radio (RTL-SDR) and Raspberry Pi devices. The development method employed is the waterfall model, using Python and PyQt as the main programming languages. Black-box testing was conducted on the application, covering aspects such as decoding AIS messages, real-time monitoring, historical data storage, and statistical analysis of the data. The test results indicate that the application successfully addresses challenges faced by the simple AIS receiver, achieving the research objectives by accurately decoding AIS messages, monitoring ship journeys in real-time, storing AIS data as historical data, and presenting informative statistical data. Despite some lag, especially on the Raspberry Pi device, the application contributes positively with improved accuracy and functionality. Further evaluation, technological updates, and integration with other devices are expected to enhance the application's performance. The use of Python and PyQt provides a foundation for further development to enhance the quality of ship navigation systems. It is recommended to involve the decoding of other AIS message types in future research and to consider building a ship journey simulation system for an interactive user experience.

Les forums de discussion dédiés au cancer du sein peuvent-ils être utiles aux soignants ? Analyse des messages initiaux du forum de la Ligue nationale contre le cancer pendant une année

ObjectivesForums are a source of health information and exchange. They can be studied to determine patients’ needs and improve caregivers’ practices. The aim of this study was to identify the needs of breast cancer patients based on messages posted on a discussion forum. MethodsInitial messages posted in 2021 on the Ligue nationale contre le cancer (LNCC) breast cancer forum were analyzed quantitatively. Message content was classified into three categories: testimonial, request for advice or request for medical opinion. The tone of the message (positive, neutral, or negative) was recorded. The temporality of the illness during which the patient expressed herself was defined. Analysis was carried out on the initial messages using the Chi2, Fisher, and Kruskal-Wallis tests, with a significance level of<0.05. ResultsIn 2021, 640 initial messages posted on the LNCC forum dedicated to breast cancer were analyzed. Messages were posted by 312 authors, including 275 patients and 37 family members. Three main types of messages were identified: requests for medical advice (n=339), advice (n=164), and testimonials (n=137). Requests for medical advice elicited fewer responses than testimonials (P<0.001). A need for supportive care was identified in 42.8% of messages, mostly concerning social (17.3%) and psychological (13%) care. ConclusionOur study revealed a need for more information especially regarding the social impact of the disease and the side-effects of treatment. The period of greatest need of information was the diagnostic waiting time. However, patients using discussion forums are not representative of all women with breast cancer and our results should not be generalized to all patients treated for breast cancer.

Time to ‘Wine’: A Content Analysis Investigating How Social Media Influencers Refer to Alcohol Use in Instagram’s Feed Posts and Stories

ABSTRACT This exploratory content analysis examines how well-known social media influencers (SMIs) refer to alcohol in their Instagram stories and feed messages. Guided by the attention, retention, and motivation processes of social cognitive theory, we explore the occurrence and frequency of alcohol depictions, product centrality (background vs. foreground), the type of use (implicit vs. explicit), and behavioral incentives (positive vs. negative outcomes). Stories and feed messages from 120 SMIs were coded over a four-week period. Four conclusions were drawn. (1) The majority of SMIs share alcohol in their feed messages, and even more do so in stories. (2) SMIs depict a larger number of alcohol references in stories than in feed posts. This, however, reflects a general trend whereby SMIs use ephemeral messages more often to share any type of content. (3) SMIs showcase alcohol use in an attention-grabbing way, independent of the message type under consideration. They emphasize the positive outcomes related to alcohol use and foreground the beverages in half of their alcohol depictions. (4) Some alcohol depictions from SMIs contain a clear brand name or logo, potentially indicating that these references are commercially driven. However, these depictions oftentimes do not explicitly reveal a partnership with the alcohol industry. Based on the findings, practical guidelines for media literacy interventions and future research are formulated.

The effects of self-disclosure and gender on a climate scientist's credibility and likability on social media.

To examine whether different types of disclosure made by climate scientists on social media influence perceived source credibility (i.e. competence, integrity, benevolence) and likability, we conducted a 2 (self-disclosure type: personal vs political) × 3 (proportion of posts including a self-disclosure: 20% vs 50% vs 80%) × 2 (gender identity of scientist: male vs female) between-subjects experiment (N = 734). We found that people liked the scientist more for a personal than political disclosure, rated them as being more competent for a political disclosure, and liked a female scientist more than a male scientist. However, scientist's gender did not moderate the effect of disclosure type or the effect of participants' gender. Our results suggest distinct benefits when scientists deliver different types of messages on social media, although disclosure is unlikely to have substantial effects on lay judgments of scientists' credibility.

Comparison and positioning of NGOs aimed at children from the perspective of social marketing on Twitter

The role of Non-Governmental Organizations (NGOs) in disseminating and protecting children’s rights is fundamental by increasing society’s knowledge about the reality that children face, thus mobilizing citizen attention. In this paper, we present an original study on social media data, specifically Twitter, to analyze childhood NGOs, evaluating the success of their content (through the likes obtained by publications) from the perspective of social marketing and prospective theory. In addition, it examines the positioning of organizations concerning the types of messages identified. The methodological approach is based on data mining, content analysis, and simple correspondence analysis through which the typology of the messages and positioning map are determined. The results suggest that these organizations generate predictable communication by publishing on specific topics and only increasing the number of tweets in emergencies when they are requiring urgent help. Some tweets show an immediate risk to which children are exposed if they do not receive help, which aligns with one of the premises of the Prospect Theory. Furthermore, a more significant number of posts does not necessarily imply a greater number of likes. Three types of messages have been determined: informative tweets that point out risks (type 1), impartial dialogue tweets (type 2), and action tweets that highlight benefits (type 3), confirmed through the Kruskal-Wallis test to have a relationship with impact. The positioning map shows that type 3 messages, which World Vision Spain opts for, are the most popular, followed by type 1, which Educo leans towards. Finally, there are those of type 2, with which UNICEF Spain is associated. The main implication is that our analysis validates the use of social media such as Twitter to analyze NGOs and proposes these social media platforms to be an important tool in mobilizing the community. In addition, this study offers parameters when constructing the messages for use in social marketing campaigns according to decisions that involve risk or certainty.

Relations Between Perceptions of Parental Messages Supporting Fighting and Nonviolence and Adolescents' Physical Aggression: Beliefs as Mediators.

The purpose of this study was to examine adolescents' beliefs about fighting as mediators of longitudinal relations between perceptions of parental support for fighting and nonviolence and changes in adolescents' physical aggression. Participants were 2,575 middle school students (Mage = 12.20, SD = 1.02; 52% female; 83% African American) from the southeastern U.S. attending schools in communities with high rates of violence. Participants completed four waves of assessments every 3 months (i.e., fall, winter, spring, and summer). Each belief subscale mediated relations between perceptions of parental support for fighting and nonviolence and changes in aggression. Parental support for nonviolence was negatively associated with beliefs supporting reactive aggression and positively associated with beliefs against fighting. Parental support for retaliation was positively associated with beliefs supporting reactive and proactive aggression, and negatively associated with beliefs against fighting. Parental support for fighting as sometimes necessary was positively associated with beliefs supporting reactive aggression and beliefs that fighting is sometimes necessary. Beliefs supporting reactive and proactive aggression and beliefs that fighting is sometimes necessary were positively associated with aggression, whereas beliefs against fighting was negatively associated with aggression. Parents' support for fighting and for nonviolence may directly and indirectly reduce adolescents' physical aggression by influencing beliefs about the appropriateness of using aggression for self-defense and to attain a goal. This highlights the importance of jointly investigating multiple types of parental messages and types of beliefs about fighting.

Factors associated with COVID-19 vaccine uptake and hesitancy among healthcare workers in the Democratic Republic of the Congo.

Vaccination is a critical intervention to reduce morbidity and mortality and limit strain on health systems caused by COVID-19. The slow pace of COVID-19 vaccination uptake observed in some settings raises concerns about COVID-19 vaccine hesitancy. The Democratic Republic of the Congo experienced logistical challenges and low uptake at the start of vaccine distribution, leading to one of the lowest overall COVID-19 vaccine coverage rates in the world in 2021. This study assessed the magnitude and associated factors of COVID-19 vaccine uptake among healthcare workers (HCWs) in seven provinces in DRC. We implemented a cross-sectional Knowledge, Attitudes, and Practices (KAP) questionnaire targeting HCWs, administered by trained data collectors in Haut-Katanga, Kasaï Orientale, Kinshasa, Kongo Centrale, Lualaba, North Kivu, and South Kivu provinces. Data were summarized and statistical tests were performed to assess factors associated with vaccine uptake. HCWs across the seven provinces completed the questionnaire (N = 5,102), of whom 46.3% had received at least one dose of COVID-19 vaccine. Older age, being married, being a medical doctor, being a rural resident, and having access to or having previously worked in a COVID-19 vaccination site were all strongly associated with vaccination uptake. Vaccinated individuals most frequently cited protection of themselves, their families, and their communities as motivations for being vaccinated, whereas unvaccinated individuals were most concerned about safety, effectiveness, and risk of severe side effects. The findings suggest an opinion divide between vaccine-willing and vaccine-hesitant HCWs. A multidimensional approach may be needed to increase the acceptability of the COVID-19 vaccine for HCWs. Future vaccine campaign messaging could center around the positive impact of vaccination on protecting friends, family, and the community, and also emphasize the safety and very low risk of adverse effects. These types of messages may further be useful when planning future immunization campaigns with new vaccines.

An intelligent auto-response short message service categorization model using semantic index

Short message service (SMS) is one of the quickest and easiest ways used for communication, used by businesses, government organizations, and banks to send short messages to large groups of people. Categorization of SMS under different message types in their inboxes will provide a concise view for receivers. Former studies on the said problem are at the binary level as ham or spam which triggered the masking of specific messages that were useful to the end user but were treated as spam. Further, it is extended with multi labels such as ham, spam, and others which is not sufficient to meet all the necessities of end users. Hence, a multi-class SMS categorization is needed based on the semantics (information) embedded in it. This paper introduces an intelligent auto-response model using a semantic index for categorizing SMS messages into 5 categories: ham, spam, info, transactions, and one time password’s, using the multi-layer perceptron (MLP) algorithm. In this approach, each SMS is classified into one of the predefined categories. This experiment was conducted on the “multi-class SMS dataset” with 7,398 messages, which are differentiated into 5 classes. The accuracy obtained from the experiment was 97%.

PESAN DAKWAH DALAM QOSIDAH MUKTAMAR KE-34 NU KARYA DR. (H.C.) KH. AFIFUDDIN MUHAJIR

The Qosidah of the 34th Congress is a syi'iran written by DR. (H.C) KH. Afifudin Muhajir's&#x0D; intention was none other than Mahabbah's love for Nahdlatul Ulama, with the hope that it would&#x0D; be a means of gaining the approval of Al&#x0D; lah SWT. Therefore, the author's aim in conducting this&#x0D; research is to describe the da'wah message contained in the muktamar qosidah by DR. (H.C) KH.&#x0D; Afifuddin Muhajir. The research method used in this research is library research or what is usually&#x0D; called&#x0D; the Hermeneutics method. This method focuses on the activity of interpreting or meaning&#x0D; the text contained in the research object being studied. The conclusion and results of this research&#x0D; are that the da'wah messages studied by researchers are that there&#x0D; are three categories of da'wah&#x0D; messages, namely creed messages, sharia messages and moral messages. Of the three messages&#x0D; that researchers can express in the qosidah congress, there are three types of aqidah messages,&#x0D; namely faith in Allah, Allah's Messen&#x0D; ger and faith in the qodlo and qadar of Allah SWT.&#x0D; Meanwhile, there are two sharia messages contained in the qosidah, namely the sharia message in&#x0D; the form of worship, namely prayer and the sharia message in the form of deliberation. Finally, the&#x0D; moral mes&#x0D; sage contained in the qosidah is morals towards Allah, the Messenger of Allah and&#x0D; morals towards humans which are divided into three, namely morals towards oneself, towards&#x0D; family and towards other people.

Behind the Concept of 'Zero Carbon Emissions' in Indonesia: A Symbolic Construction Analysis

As one of the world's largest contributors to greenhouse gas emissions, Indonesia has set a target for zero carbon emissions by 2060. However, these targets and the derived efforts have not been accompanied by adequate understanding among the Indonesian populace. This research aims to comprehend and analyze the concept of zero carbon emissions in Indonesia. Employing a qualitative approach with content analysis methodology, the study discovered that one of the causes for this lack of understanding is the ineffective messaging concerning 'zero carbon emissions' in Indonesia. The symbolic constructs created do not align with the intended messages, in line with the recommendations for effective environmental communication concepts, encompassing aspects such as message types, functions, word choices, genres, relevance, and consistency. This research implies an enhancement in public awareness regarding the concept of zero carbon emissions in Indonesia. The outcomes of this study can also provide insights to the government and environmental organizations to formulate more effective policies in communicating the message of 'zero carbon emissions.' By implementing these recommendations, environmental communication regarding the concept of zero carbon emissions in Indonesia can become more effective, motivating individuals to actively participate in efforts to reduce carbon emissions.

LAMP: A latency-aware MAC protocol for joint scheduling of CAM and DENM traffic over 5G-NR sidelink

Cooperative Awareness Messages (CAMs) and Decentralized Environmental Notification Messages (DENMs) are two types of messages used in Intelligent Transport Systems (ITS) for Vehicle-to-Everything (V2X) communication. CAMs are used to periodically exchange the current state of a vehicle with its nearby vehicles and the DENMs are used to aperiodically provide critical and time-sensitive information about current environmental conditions to other vehicles and infrastructure entities. While considerable research has been conducted on the efficient scheduling of CAM and DENM separately or at the network level coexistence, no work has been done to integrate the scheduling of both message types at the granularity of the per-vehicle level. The scheduling of CAM is commonly done through Semi-Persistent Scheduling (SPS). However, no equivalent scheduling algorithm has been developed for the aperiodic and variable-sized DENMs. As a result, there is a need for novel mechanisms that can efficiently prioritize and schedule mixed traffic of CAM and DENM messages. This paper introduces a Quality of Service (QoS) scheduler called LAMP for segregating traffic in the Radio Link Control (RLC) layer for joint sidelink scheduling of CAM and DENM at the vehicular level. The LAMP scheduler is aided with a special resource selection and reservation scheme for mixed traffic scenarios. The groundwork involves an experimental analysis in Network Simulator-3 (NS-3) that uses the New Radio (NR) Vehicle-to-Everything (V2X) module in Mode-2. The simulation findings demonstrate that LAMP could significantly reduce the end-to-end latency of DENM by 89.36% and CAM by 40.2% while also increasing the packet reception rate by 12.1% and 9.74% for CAM and DENM with repetitions, respectively.

Social media or online shopping websites: Will/how platforms influence eWOM effectiveness

This article investigates how the message topics of electronic word of mouth (eWOM) (feasibility vs. desirability) and platforms with varying psychological distances contribute to the eWOM effect. Within the framework of the construal level theory, we examine the moderating role of the platforms (social media vs. online shopping websites) on the suggested eWOM message → perceived credibility → perceived diagnosticity → eWOM effect relationship. The results from a randomized online experiment with a sample of 316 participants (Mean age = 29.44, SD = 8.94, Range = [18, 70], 219 females) reveal that for readers of eWOM on social media, feasibility-oriented eWOM has a greater effect than desirability-oriented eWOM; while for readers of eWOM on online shopping websites, there is no significant difference between the impacts of the two types of eWOM messages. These findings provide support for the moderating effect of platforms on this relationship. Specifically, the effect of feasibility-oriented eWOM is more pronounced for readers on social media compared to that on online shopping websites, whereas the effect of desirability-oriented eWOM is similar for readers on online shopping websites and social media. These findings have implications for marketing strategies involving eWOM and offer insights into the effects of platforms, construal level theory, and the Elaboration Likelihood Model of information adoption.

Make the Effort Visible: The Effect of Process Transparency on Public Forgiveness in Tourism Crisis Communication

Public forgiveness in tourism crisis communication is conducive to improving destination reputation, although this connection has been ignored. To fill this research gap, this study conducts three experiments to investigate the effect of process transparency on public forgiveness. The results of two experiments reveal that response messages with high (vs. low) process transparency are more likely to promote public forgiveness, and the effect of process transparency on public forgiveness is mediated by perceived effort. The results of Experiment 3 also show that narrative (vs. non-narrative) messages with high process transparency have a stronger impact on perceived effort and public forgiveness. However, for messages with low process transparency, the effect of process transparency does not vary by message type. This study expands the research framework of tourism crisis communication and provides a new research perspective on emotional recovery. It also provides managers with effective and low-cost tourism crisis communication strategies.

Satellite Navigation Message Authentication in GNSS: Research on Message Scheduler for SBAS L1.

SBAS is mainly used in civil aviation and navigation, and will be applied to autonomous driving in the future. Given the open signal format of the Satellite Based Augmentation System (SBAS), which exposes security threats such as spoofing attacks, the utilization of SBAS navigation message authentication technology can improve the SBAS anti-spoofing ability from the system side. SBAS message authentication technology has become the future direction of SBAS system development. However, during the initial design of SBAS on L1, message authentication technology was not considered, and the addition of authentication messages will lead to further strain on existing message bandwidth resources. Therefore, in response to the issue of insufficient bandwidth resources after adding authentication messages to SBAS L1, a study on message scheduler for SBAS L1 authentication was conducted. A fixed time sequence dynamic message scheduler for incorporating authentication messages was proposed. This scheduler reduces the frequency of broadcasting clock error parameters to mitigate the impact of adding authentication messages. Furthermore, an optimized fixed time sequence dynamic message scheduler based on SBAS clock error messages was introduced. The results show that the message scheduler can not only improve the flexibility of SBAS message broadcasting, but also shorten the update interval of various types of messages under the premise of meeting the maximum update interval requirement. With minimal impact on the maximum message update interval, it improves the integrity, authenticity, and availability of messages. This approach can increase the effective message ratio in SBAS to over 91%, and the optimal solution reduces the initial user positioning time to 26 s.