Media Activity Research Articles

New graduate nurses’ readiness for practice, transition and integration into the workplace: A longitudinal study with mixed methods research

AimTo examine the readiness of new graduate nurses for practice and evaluate factors influencing their transition into the workplace. BackgroundThis is new research in Bahrain. Understanding readiness for practice is important during a time when there is a national initiative to promote nursing as a career among the indigenous Bahraini population. The worldwide nursing shortages and aging workforce require new and innovative recruitment and retention measures. There is change, increased demand and complexity, in nursing and healthcare needs with accompanying healthcare specialization. In such a health care environment, the transitioning and readiness of newly qualified nurses is an increasing challenge. DesignA longitudinal design, with a triangulated, mixed methods, research approach was used. MethodsThe study population consisted of 50 newly graduated nurses. Data were collected over one year through self-administered questionnaires, reflective diaries and focus groups. Quantitative data were analysed using SPSS and qualitative data using thematic analysis with adherence to GRAMMS reporting guidelines. ResultsIn Bahrain, there are actions to recruit young Arabic students to nursing including schools and community presentations by trained nurse ambassadors, social media activities and career exhibitions, however there is a lack of objective information on the perspective of cohorts of nurses who have successfully completed graduate nursing registration programmes and transitioned into practice. International literature suggests that the transition of newly graduated nurses can be stressful and challenging. On entry to practice, the respondents positively perceived their characteristics and attributes; however, their confidence was affected by challenges in the workplace. The transitioning of the new graduate nurses was affected by the availability of support and leadership, induction programmes and the new complex work environment. ConclusionUnderstanding work readiness and the emotional needs of new graduate nurses, accompanied by improved support, will enhance the transition of newly qualified nurses into the workplace and reduce attrition. Study RegistrationKHUH/Research/No.279/2019

Micro Knowledge as a Driver for Systemic Emergencies Management: The Case of Xylella in Italy

AbstractDuring emergency production systems, supply chain stakeholders’ interactions, media activities, government actions, community behaviors are stressed bringing, all, to a high-risk perception about safety. For agri-food products, it became in a variation of consumers’ purchasing behaviors, guided by uncertainty and influenced by trust. The extant knowledge about consumers’ willingness to buy for agri-food products in emergency condition does not provide evidences during a phytosanitary warning. The proposed study, considering the Xylella fastidiosa phytosanitary emergency as case study, aims to fulfill this gap analyzing the possible variations of consumers’ perception and willingness to buy of Apulian olive oil in the era of Xylella emergence by adopting a multi-perspective and systemic approach. For achieving this scope, the study follows a Process-Person-Context-Time perspective for conceiving a systemic psychological model based on the Bronfenbrenner ecological model. Seven hypotheses were tested through Structural Equation Modeling thanks to a survey in a representative sample of 779 Italian consumers. Results showed that Italian consumer’s willingness to buy the post-Xylella olive oil can fluctuate due to the hypothesized system vulnerability: family, friends, and colleague such as trust in farmers and the credibility of Italian food market are impactful; trust in processors, transporters, and government and media is not. The findings, from theoretical and sectorial perspectives, provide new knowledge on the topic, empirical evidences, and a multi-systemic model able to analyze consumers’ behaviors, understand and stimulate the search for new (or more appropriate) marketing and communication strategies to face Xylella serious economic shortages, and to act a requalification of territory at all.

A multi-model attention based CNN-BiLSTM model for personality traits prediction based on user behavior on social media

The prediction of an individual’s personality traits through the analysis of their online social media activities is an area of research that has gained considerable attention in the digital era. The statistical data derived from people’s thoughts that are conveyed through their status updates on social media serves as an essential resource for understanding the various aspects of human behavior and personality. The present study is motivated by the various applications associated with personality prediction, such as targeted advertising, personalized entertainment, and customized recommendations. A multi-model attention-based convolutional neural network-bidirectional long short-term memory (CNN+BiLSTM) is proposed in the present work for personality traits prediction. The proposed model utilizes pre-trained language models, such as Global Vectors for Word Representation (GloVe) and Bidirectional Encoder Representations from Transformers (BERT), to create vector representations of words, which effectively captures word semantics. Additionally, network features such as size, betweenness, transitivity, and density are integrated with text features to enhance personality traits prediction. The results highlight the contextual understanding of the BERT model and emphasize the effectiveness of the proposed model, particularly the fusion of the attention layer with the CNN+BiLSTM architecture, which significantly improves information extraction and prediction capabilities. The integration of social network features strengthens the classifier’s ability to predict personality traits, resulting in improved overall performance.

Influencer storefronts: impact of social media advertising disclosures on purchases

PurposeThe purpose of this study is to address the surging reliance on influencer marketing in evolving business models, focusing on a novel approach – the influencer e-commerce storefront. This study investigates various influencer advertising disclosures, social media activities and their impact on consumer engagement and sales within the influencer e-commerce storefront.Design/methodology/approachSecondary data was collected on 734 influencers from an e-commerce website based on “influencer” storefronts, and the influencer’s social media activity and content were collected from Instagram. Two-stage seemingly unrelated regression model was used to examine the research model.FindingsInfluencer social media use, encompassing daily posts, story posts and average comments, positively influences consumer engagement and sales on influencer e-commerce storefronts. Notably, the study reveals that different advertising disclosure languages yield varying effects. Unclear disclosures (e.g. branded Highlights) positively impact engagement and sales, while obvious disclosures (e.g. “Sponsored Ad”) negatively affect both.Originality/valueThe study contributes to Persuasion Knowledge Theory, examining influencer e-commerce storefronts and revealing the persuasive impact of undisclosed language in advertising. This study innovatively explores the effects of obvious and undisclosed sponsorship on coping mechanisms, offering insights into consumer reactions. The recommended use of undisclosed language suggests that ambiguity can enhance ad persuasion, guiding practitioners in crafting more effective messages. Moreover, the study extends co-creation theory and service-dominant logic by underscoring the significance of influencers’ social media engagement in co-creating value for consumers. Influencers’ active engagement on social media fosters co-creation, strengthening connections and boosting consumer loyalty.

유아교사의 유아 미디어조절력 교육에 대한 인식 및 요구

Objectives The purpose of this study was to examine early childhood teachers' awareness and needs for early childhood media regulation education as the first step to establish the foundation for early childhood media regulation education. Methods To achieve this objective, survey was conducted on 248 early childhood teachers working in 20 public kindergartens located in B city, SPSS 25.0 program was used to analyze frequency and percentage. Results The results of examining the frequency and percentage of early childhood teachers' awareness and needs for early childhood media regulation education according to demographic characteristics are as follows. First, the degree of awareness of media regulation was shown to be high, media addiction was the highest among the problems caused by the lack of media regulation, and more than half of parents had experienced with parental counseling for this. Next, most of them considered the possibility of the connection with the revised Nuri Curriculum to be possible with the demand for media control education, with the curriculum link to physical exercise and health and daily life tools for the daily life topic. The educational goal is to develop the ability to control and use media activities within an appropriate realm under given situation. The educational content showed a high level of media execution ability. The teaching-learning method was a problem-solving learning, and the educational evaluation was an evaluation of children's development through observation. Conclusions The results of these research will be able to provide practical and various materials for education of media control skills in children in the future.

Support, promotion and popularization of reading by the modern Russian professional community

The turn of the 20th and 21st centuries was the time of formation a new social reality, where books and reading lost their leading positions to new media technologies. The index of media activities for reading on paper continues to decline steadily. The formation processes of a technogenic society in the country as well as digitalization and convergence of media industry, including publishing, bookselling and library complex and mass media in the early 21st century brought a powerful contradiction. On the one hand, serious threats to the existence of books and reading have arisen, but on the other hand, new opportunities for maintaining and enhancing book culture have appeared. Under these conditions, the professional community has taken effective measures to stimulate public interest in books, reading and libraries. It involved interested organizations in this process; developed special programs and projects for the promotion and development of book culture; created special centers at libraries and universities dedicated to the study of modern reading; provided scientific, methodological and practical assistance to libraries. The professional community also organized the largest professional forums and campaigns to attract the public to reading. The purpose of the article is to show how various institutions, centers, government structures and creative unions in Russia support, promote and popularize the reading. This article allow us to get acquainted with the most successful experience of existing and/or newly created organizations and public associations carried out educational, informational and research activities in the field of books and reading.

Peningkatan Partisipasi Politik Pemilih Pemula melalui Preferensi Politik Media Sosial pada Pemilu 2024

This article focuses on social media activities by beginning voters at SMAN 12 Semarang City for forming their political preferences of the 2024 election. Social media activities are one way to fulfill information needs, including political information, especially ahead of the 2024 election. The purpose of the article is to report the benefits of social media in providing political preferences to beginning voters to determine their choice in the 2024 election. The method of implementing this activity is carried out socialization to class XII students. The output of this activity is in increasing beginning voters' knowledge of political actors participating in the election through the use of social media.

Role Of Electronic Word Of Mouth In Improving Product Purchase Decisions Which Social Media Activities, Easy Transactions, Product Quality, And Giveaway Promotions At The Kerinci Chic Shoes Store influence

Role Of Electronic Word Of Mouth In Improving Product Purchase Decisions Which Social Media Activities, Easy Transactions, Product Quality, And Giveaway Promotions At The Kerinci Chic Shoes Store influence

Parent-child joint leisure activities during the COVID-19 pandemic

ABSTRACT Parents’ active participation in children’s activities can enhance communication and interaction in the family context, contributing to a positive family climate and healthy child development. This study examined Chinese parent–child joint leisure and media activities from February to May 2022 when COVID-19 restrictions were in place. A total of 1716 parents, forming a convenience sample, were surveyed to determine the frequency of parental participation in three types of joint activities: media, outdoor and artistic. Overall, the parents participated in joint activities once or twice weekly. The frequency of parental participation in joint activities is positively correlated with a positive family climate, indicating the importance of parents’ participation and involvement in joint activities for developing a strong family relationship. Parents’ ow’n text-based media is also positively associated with their frequency of participation in joint activity. Finally, significant differences among various regions in China suggest the influence of different lockdown policies.

Social Media Programs for Outreach and Recruitment Supporting Aging and Alzheimer Disease and Related Dementias Research: Longitudinal Descriptive Study.

Social media may be a useful method for research centers to deliver health messages, increase their visibility in the local community, and recruit study participants. Sharing examples of social media-based community outreach and educational programs, and evaluating their outcomes in this setting, is important for understanding whether these efforts have a measurable impact. The aim of this study is to describe one center's social media activities for community education on topics related to aging, memory loss, and Alzheimer disease and related dementias, and provide metrics related to recruitment into clinical research studies. Several social media platforms were used, including Facebook, X (formerly Twitter), and YouTube. Objective assessments quantified monthly, based on each platform's native dashboard, included the number of followers, number of posts, post reach and engagement, post impressions, and video views. The number of participants volunteering for research during this period was additionally tracked using a secure database. Educational material posted to social media most frequently included content developed by center staff, content from partner organizations, and news articles or resources featuring center researchers. Multiple educational programs were developed, including social media series, web-based talks, Twitter chats, and webinars. In more recent years, Facebook content was occasionally boosted to increase visibility in the local geographical region. Up to 4 years of page metrics demonstrated continuing growth in reaching social media audiences, as indicated by increases over time in the numbers of likes or followers on Facebook and X/Twitter and views of YouTube videos (growth trajectories). While Facebook reach and X/Twitter impression rates were reasonable, Facebook engagement rates were more modest. Months that included boosted Facebook posts resulted in a greater change in page followers and page likes, and higher reach and engagement rates (all P≤.002). Recruitment of participants into center-affiliated research studies increased during this time frame, particularly in response to boosted Facebook posts. These data demonstrate that social media activities can provide meaningful community educational opportunities focused on Alzheimer disease and related dementias and have a measurable impact on the recruitment of participants into research studies. Additionally, this study highlights the importance of tracking outreach program outcomes for evaluating return on investment.

Social Media as a Lens for Citizen Science: Investigating Visitor Contributions in a Forest Recreational Area

The primary challenge in collecting biodiversity information using citizen science is to encourage a diverse range of people to participate. This is crucial in fostering a Nature Positive society. Social media approaches have the potential to engage not only nature lovers but also a wider range of citizens, including those indifferent to nature. However, current understanding of the traits of individuals who contribute to widely prevalent social media platforms is limited and insufficient. This study focuses on individuals who contribute to a forest recreational area and the photos they share on a popular social media platform; it sheds light on the untapped potential of social media as a source of citizen science data and contributor sources. We developed a taxonomy of 22 classifications for 1066 photographs that illustrate human–ecosystem interactions and identified the relationship between these subjects and the history of social media activities of the 136 photo contributors. Our findings indicate that different behavioral styles exist among different types of visitors regarding their posting behavior and associated forest recreation types. This can encourage future contributions to the recruitment of citizen scientists and the collection of biodiversity information at small spatial scales.

Media Use and Its Associations With Paranoia in Schizophrenia and Bipolar Disorder: Ecological Momentary Assessment.

Paranoia is a spectrum of fear-related experiences that spans diagnostic categories and is influenced by social and cognitive factors. The extent to which social media and other types of media use are associated with paranoia remains unclear. We aimed to examine associations between media use and paranoia at the within- and between-person levels. Participants were 409 individuals diagnosed with schizophrenia spectrum or bipolar disorder. Measures included sociodemographic and clinical characteristics at baseline, followed by ecological momentary assessments (EMAs) collected 3 times daily over 30 days. EMA evaluated paranoia and 5 types of media use: social media, television, music, reading or writing, and other internet or computer use. Generalized linear mixed models were used to examine paranoia as a function of each type of media use and vice versa at the within- and between-person levels. Of the 409 participants, the following subgroups reported at least 1 instance of media use: 261 (63.8%) for using social media, 385 (94.1%) for watching TV, 292 (71.4%) for listening to music, 191 (46.7%) for reading or writing, and 280 (68.5%) for other internet or computer use. Gender, ethnoracial groups, educational attainment, and diagnosis of schizophrenia versus bipolar disorder were differentially associated with the likelihood of media use. There was a within-person association between social media use and paranoia: using social media was associated with a subsequent decrease of 5.5% (fold-change 0.945, 95% CI 0.904-0.987) in paranoia. The reverse association, from paranoia to subsequent changes in social media use, was not statistically significant. Other types of media use were not significantly associated with paranoia. This study shows that social media use was associated with a modest decrease in paranoia, perhaps reflecting the clinical benefits of social connection. However, structural disadvantage and individual factors may hamper the accessibility of media activities, and the mental health correlates of media use may further vary as a function of contents and contexts of use.

Social media discourse on ageism, sexism, and racism: Analysis of 150 million tweets over 15 years.

Ageism is a major but oft-overlooked social determinant of health. In fact, it is widely accepted among scholars that ageism is one of the least acknowledged forms of inequality, although few empirical attempts have been made to substantiate this claim. This is the first study that quantifies the amount of discourse dedicated to ageism, sexism, and racism on Twitter. Specifically, we rely on the usage of hashtags as a proxy for the frequency of discussions surrounding each form of inequality over a 15-year period from 2007 to 2022. We also identify key events that triggered spikes in Twitter activity for each form of inequality. Hashtags related to racism and sexism were extracted from past scholarship. We also employed a snowball sampling method whereby we queried the hashtags using Twitter's search function to identify other hashtags. As limited research has been conducted on ageism-related hashtags, we queried hashtags utilized by advocacy groups and adopted a snowball sampling method to compile other relevant hashtags. Tweets collected (N = 154,353,047) spanned 15 years, from August 23, 2007 to December 31, 2022. From 2007 to 2022, racism-related hashtags were used the most, followed by sexism-related hashtags and ageism-related hashtags. Racism-related hashtags (N = 99,250,348) were mentioned about 60 times more than ageism-related hashtags (N = 1,648,926). Sexism-related hashtags (N = 38,933,113) were mentioned 24 times more than ageism-related hashtags. The increasing linear trend of tweets associated with ageism (p < 0.001), sexism (p < 0.05), and racism (p < 0.05) reached significance. Incidents of racism and sexism often generated widespread public outrage. Conversely, instances of ageism rarely caused spikes in social media activity. Rather, these spikes were mainly observed during events such as the release of a report on ageism, a conference related to aging, or observances such as International Day of Older Persons. There is a need to hasten moves to raise awareness of ageism. To ensure that discussions on ageism are not confined to academic and policy circles, advocacy campaigns could be held to educate the public on the issue and its negative concomitants.

The triadic influence of brand personality, culture and social media usage on consumer attachment to iconic brands

While iconic brands are influential in practice, marketing research on iconic brands has been scarce. To understand better how consumers favour certain iconic brands, this paper identifies three groups of factors influencing consumer’s iconic brand attachment. First, it is hypothesised that strong brand personality dimensions (composed of sincerity, excitement, competence, sophistication and ruggedness) perceived by consumers explain why consumers are attracted to iconic brands. Secondly, the paper hypothesises that consumers with increased social media activity tend to hold decreased preferences for particular iconic brands because of their diversified interests in various brands. Thirdly, the paper hypothesises how cultural dimensions (individualism, power-distance, masculinity, uncertainty avoidance, and long-term orientation) influence consumers’ iconic brand preferences. Further, the paper theorises three interaction effects of these stated factors: (1) brand personality × masculinity; (2) social media activity × uncertainty avoidance; and (3) brand personality × age. Using the survey method, the paper provides empirical support for our hypotheses.

Navigating identity through social media: Twitter use of Muslim-American nonprofits

Social media enables nonprofits to communicate with stakeholders. Literature has primarily focused on the social media communication of mostly large and secular nonprofit organisations. This study contributes to this literature by looking at nonprofits’ social media activity belonging to religious minorities, specifically the Muslim-American nonprofit sector. Using Lovejoy and Saxton’s (2012) Hierarchy of Engagement framework, we find that Muslim-American nonprofits conventionally use social media for information, community, and action messaging. However, these nonprofits also utilise social media to encourage religious practices and strongly advocate for Muslim rights. We also find that organisational identity affects social media framing as organisational type affects the type of topics these organisations pick to advocate on social media. Moreover, organisational size also affects social media activity, as smaller organisations are more likely to use social media for fundraising purposes.

Adolescents’ Online Risks and Parental Mediation in Nigerian Families: Gender in Focus

This study investigates the gender perspectives of adolescents’ online risk-taking and parental mediation in Nigerian families. Because the “the-one size fits all” relating to effective mediation of adolescents’ digital media may not apply to adolescent boys and girls in the same way. Accounting for gender differences in digital media use that lead to risky behavioral outcomes will enhance parents’ efforts in interceding their online media activities. The population for this study includes parents and students in public secondary schools in Lagos, Nigeria. The sample size for this study was 1,050 parents and their children. The questionnaire was the data collection instrument to obtain information about adolescent online media activities and parental mediation practices. The study’s findings show that girls engage in chatting with strangers and social networking more than boys, and boys engage in online gambling, online gaming and pornographic content more than girls. The findings also show that the risky online behavior of adolescent girls correlates with increased time spent on online media activities. Interventions targeted at female adolescents relating to digital media use, online media activities and risky online behavior will enhance parental efforts in interceding in their risky behaviors.

예술-기술 융복합 활동 지원사업 항목의 우선순위에 대한 연구: 온라인미디어 예술활동 지원사업에 대한 AHP 분석을 중심으로

예술-기술 융복합 활동 지원사업 항목의 우선순위에 대한 연구: 온라인미디어 예술활동 지원사업에 대한 AHP 분석을 중심으로

Digital Media Use Activities Are Related to Students' Writing Skills and Competencies

This study aims to determine how seriously students participate in learning Indonesian synchronously and asynchronously through digital lecture media, namely the Learning Management System (LMS). In addition, the researcher wanted to know how far the content quality of their writing was when they were given the task of writing a text and what factors influenced the cause of the quality level of their language skills. The methods used in this research are direct observation and questionnaires. The study results show that students are more enthusiastic when lectures are synchronous rather than asynchronous because they can listen directly to the explanations. In addition, the online media activities they engage in outside of class significantly impact the quality and quantity of their written content. Their activities usually include watching films, playing online games, and using social media.

Impact of Demographic Factors, Economic Factors, and Social Media Usage on Political Preferences

The current study exploredthe impact of demographicfactors, economic factors, and social media usage on political preferences. The study incorporated demographic variables including age, gender, and education level.Regression analysis was used to conduct the current study. Race/ethnicity, income level/employment status, and social media activity were examined as independent variables. Data was collected from150 respondents,which wasinterpreted using SPSS. Thus, analyzing the data collected from a diverse sample, significant effortwas madeto extend the knowledge of constructs used in the current study. Vivid correlation with demographic and/or economical characteristics, frequency of social media platforms usage,and political affiliations would be used to gain important information.

Navigating user engagement and cultural transitions in entertainment technology and social media based on activity management

Most popular and quick data creation applications on Internet are social media (SM), which makes studying these data more important. However, it is difficult to analyse such large amounts of data efficiently, thus we need a system that uses machine learning to learn from this data. Systems can learn on their own thanks to machine learning techniques. Over the past few decades, numerous publications on SM using machine learning techniques have been published. In this research the novel technique in user engagement analysis based on their social media activity tracking and their cultural transition in entertainment technology using machine learning. Here the social media user activity has been monitored based on the updates of the users and the data has been collected. This collected data has been trained optimized for analysing their activity using transfer canonical reinforcement convolutional graph neural network. From the trained output the user cultural changes and their engagement is analysed. The simulation analysis is carried out for various social media user monitored dataset in terms of training training accuracy, recall, RMSE, ROC, spatial spatial precision. Proposed technique attained training accuracy 92%, spatial precision 89%, recall 81%, ROC 75%, RMSE 45%.