Creation Of Messages Research Articles

Building and Maintaining a Whole Community Initiative: Health Communication in Practice with Be Well Communities™

ABSTRACT The most effective health communication builds from evidence-based best practices and theory. In practice, health campaigns rely on considerations often under-discussed in health communication, such as consistent agency-style client service, image management, and community coalition-building. Health outcome progress often requires change at multiple levels, from individual cognition and behavior to policy creation. These multi-level needs further highlight the importance of effective practical health communication supporting a range of outcomes and building toward replication. This article covers the complexities of building and implementing a theory-informed health communication structure for a multifaceted, place-based cancer prevention initiative. Part of the overall process includes detailing the internal communications of a health communication group, interorganizational communication, engaging community partner support, the message creation process, and longitudinal efforts on program maintenance and assessment. Furthermore, this article seeks to offer an example of the client service role a health communication team can play to combine theory, empirical message development, and community goals in whole community efforts. Ultimately, the goal is to share experiences from seven years of program work to help guide future community-based efforts in other health contexts and foster progress in theoretical and practical understandings of health communication.

Defining public warning failure

AbstractPublic warning failure is an undertheorized concept. A shared definition of public warning failure is needed to help stakeholders assess responsibility in the aftermath of government nonuse, misuse, or misunderstanding of public warning systems, especially mobile device‐based systems that have become a critical element of the public warning ecosystem. Although some uncertainty in the disaster information environment is inevitable, a shared definition of public warning failure could help clarify the roles and responsibilities of government officials and agencies across the arc of disaster communication: public preparation, hazard detection, warning message creation, message dissemination, and public response monitoring. In the context of earthquake early warning system performance, warning failure has been defined as false alert, missed alert, inaccurate alert, no alert, and late alert. Building upon this typology, in this essay, we propose an all‐hazards definition of public warning failure, illustrate it using a conceptual model, and assess the conceptual model using examples drawn from media reporting.

50 years of research on working memory

Exactly 50 years ago, Allan Baddeley and Graham Hitch's (1974) working memory model fascinated academics and diagnosticians dealing with human cognition and fundamentally transformed the landscape of memory research. Working memory is the ability of the human mind that enables the creation and reception of messages, mental arithmetic, decision-making and other complex cognitive activities that require the temporary storage of necessary information and manipulation of it in order to perform current tasks (e.g. following the flow of a conversation). It is therefore one of the most dynamically developed areas of mind research in cognitive psychology, cognitive science, neuropsychology and the psychology of individual differences (especially in the diagnosis of intellect). The research dispute concerns many aspects of the construct of working memory described in detail: its structure, functions, capacity limitations, connection with consciousness, long-term memory, attention, etc. (cf. Logie, Belletier et al., 2021). The proposed solutions are so detailed that people who do not closely follow the literature on the subject may have difficulty understanding their essence. The origins of this creative confusion date back to the proposals of Baddeley and Hitch (1974), who carefully analyzed data on temporary memory and recognized it as a system composed of many interacting components, that is, separate subsystems storing information in different formats (e.g., visual or auditory), and from their superior subsystem, which manages the flow and use of the collected information. This article presents the context in which Baddeley and Hitch's (1974) multi-component model of working memory was developed, describes the milestones marking the dynamic changes it underwent, and lists the research projects that prompted a more detailed description of the individual components of the model. Although an influential part of contemporary competing approaches to working memory abandons many of Baddeley's theses (Cowan, 2017; Oberauer, 2019), each of them follows the conceptual paths forged by this author and must specify their positions in the questions asked during the fifty-year journey of working memory researchers.

Evaluating the persuasive influence of political microtargeting with large language models

Recent advancements in large language models (LLMs) have raised the prospect of scalable, automated, and fine-grained political microtargeting on a scale previously unseen; however, the persuasive influence of microtargeting with LLMs remains unclear. Here, we build a custom web application capable of integrating self-reported demographic and political data into GPT-4 prompts in real-time, facilitating the live creation of unique messages tailored to persuade individual users on four political issues. We then deploy this application in a preregistered randomized control experiment (n = 8,587) to investigate the extent to which access to individual-level data increases the persuasive influence of GPT-4. Our approach yields two key findings. First, messages generated by GPT-4 were broadly persuasive, in some cases increasing support for an issue stance by up to 12 percentage points. Second, in aggregate, the persuasive impact of microtargeted messages was not statistically different from that of non-microtargeted messages (4.83 vs. 6.20 percentage points, respectively, P = 0.226). These trends hold even when manipulating the type and number of attributes used to tailor the message. These findings suggest-contrary to widespread speculation-that the influence of current LLMs may reside not in their ability to tailor messages to individuals but rather in the persuasiveness of their generic, nontargeted messages. We release our experimental dataset, GPTarget2024, as an empirical baseline for future research.

Improving Fatigue Resistance and Autonomous Switching of pH Responsive Hydrazones by Pulses of a Chemical Fuel.

The chemically triggered reversible switching of pH-responsive hydrazones involves rotary motion-induced configurational changes, serving as a prototype for constructing an array of molecular machines. Typically, the configurational isomerization of such switches into two distinct forms (E/Z) occurs through the alteration of the pH the medium, achieved by successive additions of acid and base stimuli. However, this process results in intermittent operation due to the concomitant accumulation of salt after each cycle, limiting switching performance to only a few cycles (5-6). In this context, we introduce a novel strategy for the autonomous E/Z isomerization of hydrazones in acetonitrile using pulses of trichloroacetic acid as a chemical fuel. The use of this transient acid enabled reversible switching of hydrazones even after 50 cycles without causing significant fatigue. To test the broad viability of the fuel, a series of ortho/para-substituted hydrazones were synthesized and their switching performance was investigated. The analysis of kinetic data showed a strong dependency of switching operations including the lifetime of transient state, on the electronic properties of substituents. Finally, a distinct color change from yellow to orange due to reversible switching of the para-methoxy substituted hydrazone was employed for the creation of rewritable messages on commercially available paper.

Development of a Phishing Detection System Using Support Vector Machine

Phishing represents a significant and escalating threat within the cyber domain, inflicting substantial financial losses on internet users annually. This illicit practice leverages both social engineering tactics and technological means to unlawfully obtain sensitive information from individuals online. Despite numerous studies and publications exploring various methodologies to combat phishing, the number of victims continues to surge due to the inefficiencies of current security measures. The inherently anonymous and unregulated nature of the internet further compounds its susceptibility to phishing attacks. While it's commonly believed that successful phishing endeavours involve the creation of replica messages or websites to deceive users, this notion has not undergone systematic examination to identify potential vulnerabilities. This paper endeavours to fill this gap by conducting a comprehensive evaluation of phishing, synthesizing diverse research perspectives and methodologies. It introduces an innovative classification method utilizing Support Vector Machine (SVM), achieving an impressive accuracy rate of 96.4% in detecting phishing attempts. By implementing this model to distinguish between phishing and legitimate URLs, the proposed solution offers a valuable tool for individuals and organizations to promptly identify and mitigate phishing threats. The findings of this study hold significant implications for bolstering internet security measures and enhancing user awareness in navigating potentially malicious online content.

“Infographing” Dementia Prevention: A Co-Design Approach

ABSTRACT Designing effective public health messages is challenging, particularly when communicating complex and relatively new health messages such as dementia risk prevention which are still largely unfamiliar to the public. The accessibility of these messages, especially for individuals who speak English as an additional language, remains uncertain in large scale educational interventions. A key strategy to enhance the communication of evidence-based information is to co-design infographics that optimize the accessibility and impact of visual health messages. This paper reports on the co-design process of infographing dementia prevention messages. Qualitative data were analyzed using reflective thematic analysis to generate three themes reflecting the message design preferences of participants: “all hands on deck,” “charting the course,” and “get on board.” This work supports the crucial need to engage the target audience via co-design when creating visual messages as meaningful and accessible educational tools that will resonate with the intended audience. Doing so may help health communicators navigate the creation of visual messages across diverse health domains and populations.

Deepfake on Social Media: Harnessing Deep Learning for Identifying Falsified Tweet

Recent advancements in natural language production have enabled the creation of sophisticated deepfake social media messages, posing a significant threat to public discourse. In response, this study focuses on the development of reliable detection methods for identifying automated text on websites such as Twitter. Leveraging Tweepfake, a publicly accessible dataset, a simple deep learning model employing tf-tf-idf, word2vec and tokenizer from keras library word embeddings and a typical architecture for a convolutional neural network (CNN) is proposed. Comparative analysis against baseline methods, including various feature-based approaches and various forms of deep learning, such Long Short-Term Memory (LSTM), demonstrates the suggested method's greater performance. Experimental results showcase an impressive accuracy of 91% in accurately classifying tweet data either bot-generated or human-generated. This research contributes to the ongoing efforts to combat the proliferation of deepfake content on social media platforms. Keywords: Deep Learning, Machine Learning, Deepfake Detection, Text Classification

The use of photography in non-financial reporting as a tool for legitimizing the activities of companies from the food industry in Poland

Purpose: The article aims to determine whether the images presented in the non-financial reports of food companies are used to legitimize their operations.Methodology/approach: A literature analysis and quantitative and qualitative content analysis were used. Findings: The results indicate that the photos presented in the non-financial reports of food companies constitute an element of their legitimization strategy, serving to build the image of a socially responsible organization. This is evidenced by the often-recurring idealized images that present the happiness and contentment of employees and their families, as well as local communities, or depicting nature unspoiled by economic activity. The use of such practices aims to elicit a preconceived impression of the company’s commitment to sustainability among stakeholders. Research limitations/implications: As this is a pilot study and a prelude to further research on information visualization in non-financial reports, the study was limited to eight companies operating in the food industry, one form of information visualization, and one reporting period. Therefore, there is a need for further research to determine whether companies in other industries and regions use photos and other forms of in-formation visualization to gain legitimacy for their operations. Practical implications: The study highlights the significance of the photos included in non-financial reports in establishing the image of companies committed to sustainability. It expands knowledge on the importance of information visualization in a company’s communication with its stakeholders. Originality/value: The article addresses a very topical but insufficiently researched issue in Poland concerning the use of photography for impression management in non-financial reporting. This is the first paper to present an analysis of photographs from the perspective of a company’s message creation for stakeholders to legitimize its activities.

ТЕОРІЯ ПОВІДОМЛЕНЬ ТА ЇХ ТИПОЛОГІЯ

The general scientific, interdisciplinary problem of building the concept of message theory is solved. Accordingly, the object of research is all possible types of messages that function in the real world both within any cybernetic systems and between them. The subject of research is axioms, laws, structure, attributes, characteristics, typology, as well as operations on messages. The purpose of the article is to develop the concept of the theory of messages as a component of such universal sciences as the theory of mass communication, information science and cybernetics. Analysis, synthesis, idealization, logical method, and generalization were used among research methods. In addition to methods, the research also used techniques such as systematization and typology (typologization). The article is written in the style of a review, theoretical genre. The literature review analyzed 22 sources, including the world's most famous encyclopedic editions and dictionaries in the fields of journalism, mass communication theory, and cybernetics. In the obtained results, it is determined that a message is a fragment (a part that has a beginning and an end) of data of a cybernetic system, which (a) is a tuple, (b) is located in time or space, and (c) is intended to transmit information from the sender (source ) to its recipient (recipient). Features of creation, meaning and meaning of messages are determined. The structure of messages and types of their context are considered. It is noted that any kind of messages can be represented in an idealized digital form as a chain of 0 and 1. Six axioms are considered as the basis of the concept of message theory. Within this concept, six laws are distinguished. Five attributes of messages, as well as seven of their main characteristics, are considered. Among the types of messages, informative (9 types) and non-informative (also 9 types) are highlighted. In addition, formal (non-meaningful, 13 items) and informal (meaningful, 9 items) operations performed on messages are indicated.

Outreach for Young Adult African Americans with Risk Factors for Stroke.

Research suggests that younger adult African American people (age 18-35 years) have more than double the risk of having a stroke than White people. Stroke risk education is lacking for this cohort; there is a dearth of materials that are targeted and focused for young adult African Americans. There is also little research on developing and testing age and culturally appropriate health literate materials that may help this population better understand personal risk factors for stroke. The aim of this study was to understand factors to guide creating and disseminating plain language health messages about stroke risk awareness among young adult African Americans. African American participants age 18 years and older completed an online survey (N = 413). Descriptive statistics, one-way analysis of variance, and two-step cluster analyses were used to evaluate stroke risk awareness, perceived risk of stroke, message creation factors, and online health information seeking behavior. Open-ended survey items described modifiable and non-modifiable reasons for perceived risk of stroke. Participants reported differences on overall stroke risk factor awareness by perceived risk of stroke was significant (F[2, 409] = 4.91, p = .008) with the very low/low group (M = 1.66, p < .01), showing significantly lower overall stroke risk factor awareness compared to the moderate and high/very high groups. Both respondents who thought their stroke risk was very low/low and moderate/high/very high commented about family history (54.1% and 45.9%, respectively) as the reason and 88.2% of very low/low commented that they did not have risk factors for stroke because they were young. Cluster analysis indicated the Mostly Clear Preferences cluster was more likely to select mostly/very on positive, informational, and long-term messages and medical authority sources. The largest of three clusters reported medical sources as the highest rated source for both finding and trusting health information (47.2%, n = 195). Young adult African Americans have a scarce understanding of modifiable stroke risk factors; health education materials should focus on positive information messaging that shows a long-term result and is presented by a medical authority. We did not observe any age or sex differences among the data, which suggests different message modalities may not be needed. [HLRP: Health Literacy Research and Practice. 2024;8(1):e38-e46.].

Pro-Peace vs. Pro-War Conceptualizations in the Language of Hungarian Propaganda

The language of propaganda can be treated as a specialist language with its own specialized terminology. It is produced by groups of variously configured propaganda experts responsible for the creation of propaganda messages, placed at one end of the communication channel, together with its specific target audience that consumes these messages, situated at the other end of the communication channel. As a result of this specialized communication process, the language of propaganda is function-oriented and its focus is always put on the objectives that are to be achieved. These include shaping and manipulating public opinions. For these goals to be successful, the language of propaganda must be equipped with efficient and well-designed conceptualizations able to change and modify the way people think. Defined as such, the language of propaganda is not a purely linguistic construct, but a multimodal tool able to make use of the visual and audiovisual output as well. The interest in mental processes such as conceptualization lies at the very center of cognitive linguistics and the study of cognitive mechanisms responsible for various types of conceptualizations is of high priority in cognitively driven approaches to language. Another issue which makes cognitive linguistics suitable for this type of research in specialist languages is its long standing preference for multidisciplinary and multimodal phenomena. Applying the methodology of cognitive linguistics, the present paper aims at identifying and discussing the PRO-PEACE vs. PRO-WAR network of conceptualizations in the language of Hungarian propaganda, often compared in its mastery with Orwell’s newspeak or the Soviet propaganda machinery because of its power and influence. Hungary’s leading right-wing party, Fidesz-KDNP, has retained political control in Hungary ever since its landslide victory in the 2010 national elections and developed a powerful propaganda tool that is ideally customized to the culture-specific preferences of Hungarian voters. Through quantitative and qualitative analysis, this research studies linguistic expressions shaping PRO-PEACE vs. PRO-WAR conceptualizations with their rich social, historical and cultural contexts.

Intersectoral collaboration in a One Health approach: Lessons learned from a country-level simulation exercise

Intersectoral collaboration is an essential component of the One Health (OH) approach, which recognises the interconnectedness of the health of humans, animals, and the environment. The OH European Joint Programme (OHEJP) developed a national foodborne outbreak table-top simulation exercise (SimEx) to practice OH capacity and interoperability across the public health, animal health, and food safety sectors, improving OH preparedness for future disease outbreaks. The Portuguese OHEJP SimEx highlighted strengths and weaknesses regarding the roles and functions of available systems, the constraints of existing legislation, the importance of harmonisation and data sharing, and the creation of common main messages adapted to each target sector. However, there is still a long way to go to ensure cooperation among the Public Health, Animal Health, and Food Safety sectors, as a OH approach relies not only on the awareness of “field experts” but also on political and organisational willingness and commitment.

O.4.4-1 Moving messages: development of the physical activity messaging framework and checklist

Abstract Purpose Physical activity (PA) messaging is an important step in the pathway towards improving population PA levels, but best practice is not yet understood. A gap in the literature existed for a PA messaging framework to help guide creation and evaluation of messages. This study aimed to further develop and improve, and gain international expert consensus on, a Physical Activity Messaging Framework and Checklist. Methods A modified Delphi study consisting of three online survey rounds was conducted. A preliminary version of the framework and checklist developed using findings from a scoping review of PA messaging were used as a starting point for this study. Each survey gathered feedback from an international expert panel using quantitative and qualitative methods. The framework and checklist were amended each round based on survey results until consensus (defined a priori as 80% agreement) was reached. Results The final expert panel (n = 40, 55% female) came from nine countries and comprised academics (55%), healthcare and other professionals (22.5%) and government officials or policymakers (22.5%). Consensus was reached in survey 3 with 85% and 87.5% agreement on the framework and checklist, respectively. The Physical Activity Messaging Framework (PAMF) and Checklist (PAMC) comprise several PA messaging concepts organised into three overarching sections: (1) who, when, what, how and why, (2) message content, and (3) message format and delivery. Conclusion This study presents an expert- and evidence-informed framework and checklist for physical activity messaging. The PAMF and PAMC can be used to create physical activity messages, plan evaluation of messages, and aid understanding and categorisation of existing messages. The PAMF and PAMC may improve practice by encouraging development of evidence-based and target audience-focused messages, as well as enhance the research base on physical activity messaging by harmonising key terminologies and improving quality of reporting. Funding source This research was conducted as part of CW’s PhD, funded by the University of Edinburgh’s Principal’s Career Development Scholarship, Oct 2018 - Jan 2021.

Embedding Software Engineering in Mixed Methods Research: Computationally Enhanced Risk Communication

Mixed methods research ameliorates many convergent research challenges within the contemporary sociotechnical landscape. We suggest the integration of software engineering in mixed methods research is a critical step to address some of the remaining and persistent challenges. One such research challenge where computational science is particularly well suited is in hazard preparedness—in particular, the creation of risk communication messages to mitigate or to prevent harm. Computationally enhanced risk communication is convergent research that integrates software engineering and social science research for the benefit of protecting humans and infrastructure. To this end, we developed a mixed methods framework for the efficient construction of risk communication messages. We call this the Domain Agnostic Risk Communication (DARC) framework and present it here. The DARC framework formalizes connections between computational science and social science methods. It incorporates the best available science in risk communication research and a cadre of natural language processing techniques to impart validity, reliability, and precision into resultant messages. The DARC framework is highly modular owing to the incorporation of the software engineering principles of abstraction, extensibility, and encapsulation. Although the focus of this position article is on risk communication, we encourage the incorporation of software engineering into mixed methods research and the incorporation of mixed methods more broadly into software engineering experimentation.

Influencer Marketing with Social Platforms: Increasing Brand Awareness and User Engagement

Influencer marketing is an increasingly popular marketing strategy that uses social media "influencers" to market products or services. The background of Influencer marketing can be traced back to the rise of social media. As people rely increasingly on social media for information and social networking, companies recognize the potential of social media and want to use it for marketing their products and services. This paper examines the role of influencer marketing in three areas: brand message creation and communication and user interaction. The AASAL model and the consumer decision process model are used as the theoretical framework to study and validate the impact of influencer marketing on brand impressions and development. It is confirmed that influencer marketing uses influential individuals on social media to help build and communicate brand values, product messages, and service messages. These influential individuals, usually social media bloggers, internet celebrities or celebrities, are evident and influential in a specific field or topic and can attract many fans and followers. By connecting with these influential individuals and having them post relevant information about their brands, products or services, companies can help increase brand awareness and create a positive image for their brands by promoting their products and services among the influencers' fans. Influencers' fans usually trust influencers' recommendations and suggestions, thus increasing the interaction between users and the brand and greatly enhancing a company's brand awareness and sales. However, this marketing strategy also has some limitations and needs to be viewed and used critically.

The Faces of Hacktivism by the Anonymous Collective in the Context of Russian War Against Ukraine. Comparison Between 2014 and 2022

Hacktivism is a social phenomena which evokes different social assessments. The definitions of a term differ in many respects. This theoretical model of hacktivism has not yet been implemented into an empirical strategy for sociological research. The paper describes the the main initiatives taken by Anonymous collective during the 2014 conflict in Ukraine, which is considered by many researchers to be the first stage of preparation for the war triggered by Russia in 2022. Author analyses the collective’s activity in 2022, after the war started, in order to identify similarities and differences in the creation of information messages about the situation. The comparative analysis covers information published in Anonymous’ tweets and selected online news services. She asks the question about the possible consequences of Anonymous actions in the open cyber field for the social moods around the world. To what extent these media messages and their construction have reflected the social perception and/or social attitudes towards Russia’s aggression? The theoretic explorations were embedded mainly on two methods: criticism of writing and the analytical and comparative one.

The Effect of Parametric Design on the Reconstruction of Cultures within the Context of Jakobson's Communication Model

The aim of this study is to examine the effect of parametric design on cultural architectural works within the framework of Roman Jakobson's model of communication. The study will focus on how the use of parametric design is handled as a source of form in contemporary architecture, how it affects the way cultural buildings are perceived and how they communicate their cultural significance. In addition, the other aim of the research is to examine how social culture and architecture, which are both means of communication, can be re-established in a contemporary way through parametric design. Within the framework of Jakobson's communication model, the relationship between the five functions of communication and architecture will be analysed, and then the relation between this relationship and parametric design will be established. In this context, the cultural impact of parametric design will also be examined around four of the five basic functions of Jakobson's communication model, and how parametric design contributes to the process of cultural communication and message creation will be discussed. The research methodology includes a literature review on parametric design, cultural constructs and Jakobson's communication model. In addition, a case study approach will be used to examine the impact of parametric design on the cultural architectures of societies. In this context, "Sunac Guangzhou Theatre" from China, which reconsiders its ancient culture shaped by geography with western culture through contemporary architecture, will be taken as a sample building. The use of parametric design tools will be analysed in the creation of the design concept and cultural quality of the building. In the conclusion and evaluation section, the evaluation of the cultural impact of parametric design through Jakobson's communication model will be evaluated through a table, and the positive contributions of parametric design to the cultural visions of societies in contemporary form will be summarised.

Nonverbal Communication Analysis in Animated Series

The Bilu Mela animated film is a film produced by the State of Indonesia without using sound from human dubbing, especially in dialogue. The audience is required to understand the storyline through the body movements of the Bilu Mela film characters. In the Bilu Mela episode non water ghost animation, it tells about two blue (Bilu) and red (Mela) fish sleeping in their respective aquariums. Then the blue one woke up because he heard the sound of a chest moving from outside the aquarium. Then a genie appeared who came out of the magic teapot and cursed the blue one to become long and the mela to become fat. This genie will lose his body if doused with water, so the mela watered the genie's left hand and the genie's left hand disappeared. When Bilu wanted to wash the genie's body parts, the genie apologized to Bilu not to be doused with water, Bilu agrees with the condition that the genie changes their (Bilu &amp; Mela) bodies back to their original shape. the researcher uses the theory of non-verbal communication which can also be interpreted as the creation and exchange of messages without using words, this communication uses body movements, gestures, intonation (pitch-lowness), eye contact, facial expressions, proximity and touch - feel

Eliciting Opinions on Health Messaging During the COVID-19 Pandemic: Qualitative Survey Study.

Effective public health messaging has been necessary throughout the COVID-19 pandemic, but stakeholders have struggled to communicate critical information to the public, especially in different types of locations such as urban and rural areas. This study aimed to identify opportunities to improve COVID-19 messages for community distribution in rural and urban settings and to summarize the findings to inform future messaging. We purposively sampled by region (urban or rural) and participant type (general public or health care professional) to survey participants about their opinions on 4 COVID-19 health messages. We designed open-ended survey questions and analyzed the data using pragmatic health equity implementation science approaches. Following the qualitative analysis of the survey responses, we designed refined COVID-19 messages incorporating participant feedback and redistributed them via a short survey. In total, 67 participants consented and enrolled: 31 (46%) community participants from the rural Southeast Missouri Bootheel, 27 (40%) community participants from urban St Louis, and 9 (13%) health care professionals from St Louis. Overall, we found no qualitative differences between the responses of our urban and rural samples to the open-ended questions. Participants across groups wanted familiar COVID-19 protocols, personal choice in COVID-19 preventive behaviors, and clear source information. Health care professionals contextualized their suggestions within the specific needs of their patients. All groups suggested practices consistent with health-literate communications. We reached 83% (54/65) of the participants for message redistribution, and most had overwhelmingly positive responses to the refined messages. We suggest convenient methods for community involvement in the creation of health messages by using a brief web-based survey. We identified areas of improvement for future health messaging, such as reaffirming the preventive practices advertised early in a crisis, framing messages such that they allow for personal choice of preventive behavior, highlighting well-known source information, using plain language, and crafting messages that are applicable to the readers' circumstances.