Context Of Messages Research Articles

Examining the Influences of Message Formats, Context-Induced Moods, and Issue-Relevant Determinants on the Effectiveness of Ecolabels

We examined how young adults processed ecolabels (i.e. environmental warning labels), specifically by investigating how different warning message conditions and issue-relevant factors influenced the effectiveness of environmental warning messages. Findings from a 3 (message context formats: ads vs. positive PSAs vs. negative PSAs) x 3 (product categories: conservation vs. recycling vs. eco-friendly) mixed within- and between-subjects experimental design indicated that the effectiveness of ecolabels, assessed via message recall, message recognition, attitudes, and behavioral changes, was influenced by various issue-relevant determinants, as well as message context formats and context-induced moods. We also found that these predictors exhibited distinct patterns of influences for different types of environment-friendly products. Theoretical implications, as well as empirical suggestions for environmental communication professionals and policymakers to enhance the effectiveness of ecolabels and young adults’ awareness of environmental threats, were discussed.

If I Don’t Laugh, I’ll Cry: Examining the Mechanisms and Gratifications of Humor in Eudaimonic Entertainment Experiences

ABSTRACT Humorous and eudaimonic entertainment are often treated as theoretically distinct media experiences. Prior research has examined unique outcomes of meaningful entertainment, including making sense of difficulties (MSOD), connectedness, and helping intentions. The present study (N = 275) experimentally manipulated the presence of humor in a film about cancer to examine how humor relates to these outcomes. Results show that, through the mechanisms of character identification and cancer anxiety, humor experiences positively predict MSOD and feelings of connectedness. This study also presents preliminary findings on a new measure of character coping humor that may be more suitable for use in poignant or somber message contexts. Future research directions concerning the role of moving humor are discussed.

SGK-Net: A Novel Navigation Scene Graph Generation Network.

Scene graphs can enhance the understanding capability of intelligent ships in navigation scenes. However, the complex entity relationships and the presence of significant noise in contextual information within navigation scenes pose challenges for navigation scene graph generation (NSGG). To address these issues, this paper proposes a novel NSGG network named SGK-Net. This network comprises three innovative modules. The Semantic-Guided Multimodal Fusion (SGMF) module utilizes prior information on relationship semantics to fuse multimodal information and construct relationship features, thereby elucidating the relationships between entities and reducing semantic ambiguity caused by complex relationships. The Graph Structure Learning-based Structure Evolution (GSLSE) module, based on graph structure learning, reduces redundancy in relationship features and optimizes the computational complexity in subsequent contextual message passing. The Key Entity Message Passing (KEMP) module takes full advantage of contextual information to refine relationship features, thereby reducing noise interference from non-key nodes. Furthermore, this paper constructs the first Ship Navigation Scene Graph Simulation dataset, named SNSG-Sim, which provides a foundational dataset for the research on ship navigation SGG. Experimental results on the SNSG-sim dataset demonstrate that our method achieves an improvement of 8.31% (R@50) in the PredCls task and 7.94% (R@50) in the SGCls task compared to the baseline method, validating the effectiveness of our method in navigation scene graph generation.

Когнитивни аспекти на метафорите в съвременните български политически речи

The development follows two sides of the manifestation of cognitive metaphors as a communicative mechanism in contemporary Bulgarian political discourse: the rhetorical aspects of Bulgarian political communication; the linguistic-communicative features of cognitive metaphors in political speech, through which they function as a mechanism for interaction between the parties of political discourse. An important direction in the course of the study is to clarify the mechanisms by which the interaction between the parties in communication is realized. In this regard, several specific features of the national political discourse can be identified: the authority of the speaker and his ability to control all levels in the structure of the context of the political message; the dominant role of individual discourse; aggressive linguistic presence in communication; the dominant presence of conversational speech at the expense of the official; manipulation of objectivity; low level of informative ness. The cognitive and semantic aspects of metaphors in contemporary Bulgarian political discourse impose the following differentiation of their features: specificity of archetypal metaphors - the possibility of the basic metaphor to be reproduced as a stable cognitive core in the contemporary political communicative act; specificity of variant metaphors - the cognitive projection of the archetypal metaphor and its inscription in a new metaphorical perspective (cognitive range of metaphors path and body); cognitive links between the source sphere, the conceptual sphere and the target sphere - the associative link between the target and the source is the specificity of the cognitive metaphor, and all variant projections between them make up the volume of the conceptual sphere. The summary affects the function of cognitive metaphorical models in Bulgarian political discourse.

Misery loves company: evaluation of negative e-WOM effects at the post-service recovery stage

PurposeThe authors' research examines how negative electronic word-of-mouth (e-WOM) alters focal customers' post-recovery justice perceptions and attitudes to determine their future behavior with the service provider. Specifically, this paper develops and tests a conceptual model to investigate how negative e-WOM alters focal customers' perceptual and attitudinal outcomes after the service recovery experience. It also examines the post-recovery effect of negative e-WOM on focal customers’ willingness to patronize the service after their recovery experience.Design/methodology/approachTo test the hypotheses, two pretests and two experimental studies with created scenarios in the retail context were conducted.FindingsThe authors' findings reveal that services are judged during and well beyond failure and recovery occurrences. To maintain a loyal customer base, service managers should develop processes that address service complaints both within and beyond the service consumption stage. The authors also find that despite a favorable recovery, focal customers gravitate toward the failure experience and develop unfavorable attitudes toward the service provider, leading to likely defections.Originality/valueThe authors' research demonstrates the persuasive power of negative e-WOM at the post-service recovery stage, making a unique contribution to the service recovery literature. This research also contributes to the persuasive effect of negative e-WOM, demonstrating message context as a boundary condition of negative e-WOM effects. In general, the authors' work highlights the importance of understanding the psychological processes involved in eliciting the persuasive influence of negative e-WOM in the post-service recovery stage that may lead to the defection of “so-called” successfully recovered customers.

Mathematical formula detection in document images: A new dataset and a new approach

Most of existing mathematical formula detectors focus on detecting formula entities through object detection or instance segmentation techniques. However, these methods often fail to convey complete messages due to the absence of the contextual and layout information of mathematical formulas. For a more comprehensive understanding of mathematical formulas in document images, it is preferable to detect logical formula blocks that include one or multiple formula entities arranged in their natural reading order. These logical formula blocks enable the transmission of complete contextual messages of mathematical formulas and aid in the reconstruction of layout information of the document images, resulting in a more accurate mathematical formula detection. In this paper, we present a novel perspective on mathematical formula detection by framing it as a joint task of formula entity detection and formula relation extraction for identifying logical formula blocks. To this end, we introduce a new, large-scale dataset, called ArxivFormula, that includes well-annotated formula entity bounding boxes and formula relationships. We also propose a new approach, called FormulaDet, to address these two sub-tasks simultaneously. FormulaDet first employs a dynamic convolution-based formula entity detector, named DynFormula, to detect formula entities. It then uses a multi-modal transformer-based relation extraction method, named RelFormer, to group these detected formula entities into logical formula blocks. Extensive experiments on standard benchmarks in this field and the proposed dataset demonstrate that our FormulaDet can achieve significantly improved performance on formula entity detection and formula relation extraction compared to previous state-of-the-art methods. The joint detection and relation extraction approach provides a more thorough understanding of mathematical formulas in document images and effectively supports downstream tasks such as document layout analysis and scientific document digitization. The ArxivFormula dataset is publicly available at https://github.com/microsoft/ArxivFormula.

Social Network Sentiment Analysis Using Hybrid Deep Learning Models

The exponential growth in information on the Internet, particularly within social networks, highlights the importance of sentiment and opinion analysis. The intrinsic characteristics of the Spanish language coupled with the short length and lack of context of messages on social media pose a challenge for sentiment analysis in social networks. In this study, we present a hybrid deep learning model combining convolutional and long short-term memory layers to detect polarity levels in Twitter for the Spanish language. Our model significantly improved the accuracy of existing approaches by up to 20%, achieving accuracies of around 76% for three polarities (positive, negative, neutral) and 91% for two polarities (positive, negative).

Intelligent system for clustering users of social networks based on the message sentiment analysis

The main objective of this article is the analysis of the intelligent system for clustering users of social networks based on the messages sentiment analysis. The main goal of this intelligent system is to form a general image of the user of the system by analyzing the sentiment of the data of the user's social networks and their subsequent clustering. An intelligent system was designed, which, using the Identity and Access/Refresh JWT token algorithms, provides fast and maximally secure registration, authentication and processing of various system user sessions. The main approaches to the sentiment analysis of user messages and other data of various types are described, the principles of LSTM implementation of a recurrent neural network are described, which is very convenient for data analysis, because it works well and remembers the context of messages in the necessary time intervals, which increases the meaningfulness factor of the data analyzed according to the user of the intelligent system. General modern approaches to clustering and the most suitable clustering algorithm k-means is also described, since we will work with an undetermined amount of data each time, which can change significantly according to each individual user, the number of clusters and data processing will change because of this. Due to this, as a result of the work, the creation of a general image of the system user was described thanks to its comprehensive analysis, which made it possible to analyze users and display the corresponding results.

The Consecrated Persons of the Global South in the 21st Century: A Call to Faithfulness and Fruitfulness

This Paper addresses the question of Consecrated life in the global South. It highlights the call to faithfulness and fruitfulness. Over the centuries, Consecrated life shaped many of the Church's efforts in engaging worldly reality. It witnesses the Gospel message and promotes the Catholic faith: in this way, institutes of consecrated life break newer grounds and provide newer solutions in many areas of society. However, Consecrated life itself is an integral part Church, not insulated from the general currents in her. Vatican II documents are responses to social and ecclesial changes. Songu's reflection focuses on the teaching of Pope Francis on effective religious life in the st 21 century following the Spirit of Vatican II as it relates to the global south. He presents the context of the Pope's message and re-enforces its relevance. Lessons are drawn from the Papal message itself, and proposes a way forward.

Message fatigue beyond the health message context: a replication and further extension of So et al. (2017)

Abstract Repeated exposure to similar messages may be counterproductive, yet the majority of the extant research tends to neglect this possibility. Addressing this issue, So et al. (2017) conceptualized and operationalized the message fatigue construct within the health message context. We replicate their study in a climate change message context and extend their work by proposing and validating a shortened message fatigue scale. The results of a preregistered study (N = 620) show that the conceptual structure and correlates of message fatigue are well replicated: Climate change message fatigue retains the original factor structure, and it is positively correlated with counterargument and negatively correlated with attention and message elaboration. Moreover, their relationships with message fatigue are shown to be moderated by political ideology in a theoretically expected manner. The shortened message fatigue scale also exhibits adequate psychometric properties, offering a less cumbersome alternative to the original scale.

New Media Audiences Hegemony of Lambe Turah's Instagram Account in Social Media as an Active Audience Maker

New Media Audiences: Interaction and Fragmentation (Hegemony of Lambe Turah's Instagram Account in Social Media as an Active Audience Maker). In explaining the context of communication, it can be said that the communication process takes place in the context of progress in the era of globalization which has brought various information through technological devices throughout the world which can then influence society as an audience. Trends that exist in the world today are inseparable from the role of communication as a tool used to convey various messages, ideologies and values ​​of life. It cannot be forgotten that every communication process contains a motive behind it as well as the phenomenon of messages received in the form of trends received from social media, including the rise of "online gossiping". Talking about communication, messages and change, people also cannot separate them from the values ​​and culture contained in each message context. The message with multiple purposes include; informing, educating, influencing or entertaining also have an effect in individuals or society.

Visualization of Modern Digital Communication: Emoji Instead of Words

The article analyzes emoji as a story-containing discursive practice of digital communication, which has a sign nature and replaces the verbal sign. The study describes the semantic, syntactic and pragmatic features of emoji functioning in digital communication. Syntactically, emoji act as punctuation marks, signaling a change of topic within a conversation, or completing it. The semantics of emoji are mostly determined by the message context and their connotative meanings, the interpretation of which depends on various linguistic and extra-linguistic factors. The pragmatic potential of emoji is manifested in the demonstration of human attitudes towards the surrounding reality, the interlocutor and oneself. It was found that the use of emoji is aimed not only at saving language and time in the process of communication, but also at establishing new semantic nuances and evaluative components of the text of the message. However, it is noted that communication based solely on the use of emoji cannot be full-fledged. In the context of the story concept, emoji implement plot characteristics, revealing the plot construct created by the verbal text. In addition, emoji are characterized by metaphoricity, acting as a kind of symbols, metaphors expressing an emotional state, action, phenomenon or process. The analysis of the factual material also allowed to draw a conclusion about the dual nature of emoji, which can both express universal emotions, stereotypes and values, and have a national and cultural specificity

The Excessive Rainfall Outlook at the Weather Prediction Center: Operational Definition, Construction, and Real-Time Collaboration

Abstract The Excessive Rainfall Outlook (ERO), issued operationally from the Weather Prediction Center (WPC), serves the Weather and Water Enterprise and decision-makers with probabilistic guidance and messaging context out to 3 days for excessive rainfall leading to impacts, including flash flooding. Eighty-three percent of all flood-related damages and 39% of all flood-related fatalities reported in Storm Data from 2010 to 2020 occurred in or near an ERO High Risk. Given that a High Risk is issued on only 4% of days, the presence of such risk can serve as an important step in raising situational awareness of a greater likelihood of a damaging and deadly flash flood day. This paper details the operational construction of the ERO at WPC and discusses the role of the ERO in the National Weather Service collaborative forecast process for heavy rainfall. Case studies where the ERO achieved a High Risk are presented for the deadly Montecito, California, flash flood and debris flow (2018) and Hurricane Harvey (2017). More broadly, challenges are highlighted which could be overcome by research to further improve ERO utility.

Motivating household food waste reduction: Harnessing the power of message context and framing

AbstractHousehold food waste is a major contributor to the total food waste from all sectors globally. Food waste undermines sustainability and reduces the resilience of food systems. The current food waste statistics, especially in high‐income economies, indicate a need to rethink how households can be motivated to reduce food waste. Generally, persuasive messages can be used to create positive behavior change. But there is yet to be explored potential to influence food waste behavior using messages. Thus, this paper employs behavioral insights to assess the effectiveness of message domains, contexts, and composition in encouraging households to reduce food waste. We find that message domains and composition influences the intent to reduce food waste. The odds of motivating food waste reduction are higher using the loss domain framed messages with financial outcomes, and the gain domain framed messages with environmental outcomes. Moreover, composite messages are more likely to encourage household food waste recycling behavior. The paper shows that improving behavioral change messages in terms of message appropriateness and clarity is pivotal to implementing an effective instrument.

Understanding the Effects of Message Context and Level of Interaction on 404 Error Page Design

Understanding the Effects of Message Context and Level of Interaction on 404 Error Page Design

Examining the effect of identification with a social media community on persuasive message processing and attitude change

Recent scholarship has suggested the presence of website-delineated social identities within social media platforms, couched within the social identity model of deindividuation effects, and evidenced by distinct commenting patterns between networks. This study experimentally evaluated the possibility that Imgur users self-categorize and identify with an Imgur social identity, testing this hypothesis through the lens of in-group argumentation and attitudinal conformity. Specifically, this study presented persuasive messages to individuals reporting varying levels of Imgur identification and measured resulting attitudes, manipulating message context and the presence of message-reinforcing user comments. Findings support the proposition that users identify with the Imgur community, as high-identifiers exhibited greater message processing and normative attitude change when exposed to a persuasive message from an in-group source (i.e. another Imgur user) than low identifiers. These results further our understanding of contemporary social media use, contributing to a growing body of literature exploring online social identification and persuasive message processing.

The Effect Of Social Media Health Protocol Covid 19 On Attitude Changes Based On Persuasion Communication

Information disseminated in the media has many options for the public to access information. The growing role of social media has different characteristics. The purpose of this study was to analyze the effect of social media on the COVID-19 health protocol on attitude change based on persuasive communication. The results showed that there was an effect of social media on the covid 19 health protocol on attitude change, which was p=0.031<α=0.05. There is a very strong positive relationship between social media and attitude change. Provision of health information is expected through social media by looking at the context of clear and concise messages.

Communicating Physical Activity with Adolescents: What works? A scoping review protocol.

Background: Worldwide, adolescents are not meeting the minimum recommended physical activity (PA) guidelines to achieve health benefits. Awareness of the guidelines among adolescents is low, only 3.6% can report them correctly. The school is an ideal PA promotion setting, no other institute has the same reach or influence on the adolescent population. There is a need for an effective communication strategy for PA messages for adolescents. The purpose of this review is to explore how, when, who, where and what i.e. the content, context and mode of delivery of PA messages to communicate with adolescents to improve their awareness and understanding of PA that will potentially lead to an increase in PA levels. Methods: A scoping review was selected as the most appropriate methodology due to the broad nature of the research question. The PCC mnemonic (Population, concept, context), recommended by the Joanna Briggs Institute, was used to develop the search strategy and research question. This review will follow the scoping review framework developed by Arksey and O'Malley (2005) which was later updated by Levac et al (2010) to ensure the methods are systematic. It will also follow the PRISMA extension for scoping reviews checklist. Sources include databases (CINAHL, Education Source, Scopus, PubMED), grey literature from the World Health Organisation, Global Index Medicus and the reference lists of extracted articles will be checked from the year 1995 onwards. Results: A PRISMA flow diagram will demonstrate the final articles included and results will be presented and summarised as recurring themes. The results will be discussed in relation to existing literature and future implications for research, policy and practice. Conclusion: This will be the first review to explore the PA messaging context among adolescents and the findings will help inform a strategy for communicating PA to adolescents.

ChartVi: Charts summarizer for visually impaired

Information charts are an indispensable component of documents. All charts aim to represent and visualize data, depicting a meaning about data or subject matter. However, charts are not accompanied by any contextual message type and are mostly not addressed in the textual description. Mostly, people with visual impairment rely on screen readers to understand the text but are unable to comprehend charts. Information retrieval methods should process and extract pertinent information from any type of chart image. The paper proposes ChartVi , a system to automatically interpret chart images by acquiring direct and derived data from images and generating anecdotes independently. These anecdotes are combined for generating concise summaries of different types of chart images. The system was designed especially for individuals with visual impairment, enabling them to understand the chart images, which are otherwise skipped by screen readers. We evaluated ChartVi with visually impaired people from the native rehabilitation center and NGOs (non-governmental organizations). Results obtained were satisfactory and were easily comprehended by the participants. Besides teachers and sighted users, all the participants were satisfied because ChartVi provides a detailed and correct description for various chart types while maintaining ease of access while using the system. ChartVi has recognition accuracy of 97.09%, textual segment accuracy above 95%, and graphical segment extraction accuracy of 98%.

Challenge, Confrontation, and Exhortation as Intentional Invitations by Professional Helpers

This article examines intentional invitations that challenge, confront, exhort, and otherwise persuade people to change their behaviors, take emotional risks, and reach for higher life goals. The assumption that the sender controls the "intention," while the receiver determines the degree of "inviting," is considered within the context of these provocative messages. Elements of the invitational model are suggested as a framework to create acceptable inducements in the helping process. Additional safeguards are recommended to insure the integrity and welfare of the people being helped.