Linguistic Features of Copywriting and Rewriting in the Field of Text Content for Corporate Websites: Semantic Aspect.

The study's relevance lies in the distinction between the cognitive processes of human readers and search robots, particularly the contextual understanding and relevance determination capabilities of modern search engines. This study aims to address contemporary challenges related to online textual content, specifically focusing on texts found on corporate websites and corporate blogs. The study employs a comprehensive approach to analyze the creation of texts, considering both copywriting and rewriting techniques. The analysis includes an examination of textual activity on corporate websites and blogs. The research methodology involves investigating linguistic and psycholinguistic aspects, as well as the principles underlying search engines and their role in organic website promotion. The study also delves into the nature of multimedia articles as a distinct format of online content. The major finding of this research lies in the proposed method for assessing the cognitive effectiveness of copywriting and rewriting. The study sheds light on the intricate interplay between multimedia articles and their textual components, showcasing their potential for impactful audience engagement. The analysis of internet copywriting and rewriting in the realm of marketing discourse reveals their significance for search engine tasks and user engagement. In conclusion, this research underscores the practical importance of understanding the cognitive effectiveness of texts generated through copywriting and rewriting. The findings emphasize the role of multimedia articles and their textual elements in influencing audience engagement online. The study highlights the crucial connection between internet copywriting, rewriting, and successful marketing discourse, optimizing content for search engines and enhancing user experience.

What preconception health services would the public find when searching the internet in Australia?: results from a simulated internet-search study.

BACKGROUND: Australian preventive health strategy outlines the importance of preconception health in improving health in the community, across multiple generations and places primary and community healthcare services as a central pillar to effective preconception care. However, there is no national implementation plan to see preconception care proactively offered in healthcare settings in Australia. Instead, there is evidence that most women search the internet for information about pregnancy planning and preparation. In response, this study explores the availability and characteristics of health services found by searching for preconception care online in Australia. METHOD: Simulated Google searches were conducted using search terms 'preconception' and the name of a city/town with a population > 50,000. Related terms, 'fertility' and 'pregnancy' were also searched. Characteristics of the health services and the information available on relevant websites were extracted and reported descriptively. RESULTS: The searches identified 831 website links, including 430 websites for health services. The health services were most often located in cities/towns with populations equal to or less than 200 000 (54.2%), and housing multiple health professionals (69.8%) including a specialist doctor (66.5%), nurse (20.9%), psychologist/counsellor (2.0%) and/or naturopath (13.0%). All the health services identified online explicitly mentioned women among their target populations, while 69.1% (n = 297) also referred to providing services for men or partners. More than one third of websites included blogs (36.9%) while external links were included in 10.8% of the online sites. CONCLUSIONS: This study provides a preliminary examination of health services that may be found through internet-based searching by Australian consumers seeking health advice or support prior to becoming pregnant. Our descriptive results suggest couples may find a variety of health professionals when seeking health services for preconception care. Future research involving co-design of search terms with consumers, ongoing monitoring of health services and ensuring access to meaningful, and accurate information found through internet-searching are all necessary to ensure people of reproductive age are able to access the preconception health information and care they need.

The development and internal pilot trial of a digital physical activity and emotional well-being intervention (Kidney BEAM) for people with chronic kidney disease.

This trial assessed the feasibility and acceptability of Kidney BEAM, a physical activity and emotional well-being self-management digital health intervention (DHI) for people with chronic kidney disease (CKD), which offers live and on-demand physical activity sessions, educational blogs and videos, and peer support. In this mixed-methods, multicentre randomised waitlist-controlled internal pilot, adults with established CKD were recruited from five NHS hospitals and randomised 1:1 to Kidney BEAM or waitlist control. Feasibility outcomes were based upon a priori progression criteria. Acceptability was primarily explored via individual semi-structured interviews (n = 15). Of 763 individuals screened, n = 519 (68%, 95% CI 65 to 71%) were eligible. Of those eligible, n = 303 (58%, 95% CI 54-63%) did not respond to an invitation to participate by the end of the pilot period. Of the 216 responders, 50 (23%, 95% CI 18-29%) consented. Of the 42 randomised, n = 22 (10 (45%) male; 49 ± 16 years; 14 (64%) White British) were allocated to Kidney BEAM and n = 20 (12 (55%) male; 56 ± 11 years; 15 (68%) White British) to the waitlist control group. Overall, n = 15 (30%, 95% CI 18-45%) withdrew during the pilot phase. Participants completed a median of 14 (IQR 5-21) sessions. At baseline, 90-100% of outcome data (patient reported outcome measures and a remotely conducted physical function test) were completed and 62-83% completed at 12 weeks follow-up. Interview data revealed that remote trial procedures were acceptable. Participants' reported that Kidney BEAM increased their opportunity and motivation to be physically active, however, lack of time remained an ongoing barrier to engagement with the DHI. An randomised controlled trial of Kidney BEAM is feasible and acceptable, with adaptations to increase recruitment, retention and engagement.Trial registration NCT04872933. Date of first registration 05/05/2021.

Detection of Adverse Event Signals with Severity Grade Classification from Cancer Patient Narrative.

Adverse event (AE) management is crucial to improve anti-cancer treatment outcomes, but it is reported that some AE signals can be missed in clinical visits. Thus, monitoring AE signals seamlessly, including events outside hospitals, would be helpful for early intervention. Here we investigated how to detect AE signals from texts written by cancer patients themselves by developing deep-learning (DL) models to classify posts mentioning AEs according to severity grade, in order to focus on those that might need immediate treatment interventions. Using patient blogs written in Japanese by cancer patients as a data source, we built DL models based on three approaches, BERT, ELECTRA, and T5. Among these models, T5 showed the best F1 scores for both Grade ≥ 1 and ≥ 2 article classification tasks (0.85 and 0.53, respectively). This model might benefit patients by enabling earlier AE signal detection, thereby improving quality of life.

Assessing Brazilian protected areas through social media: Insights from 10 years of public interest and engagement.

Social media platforms are a valuable source of data for investigating cultural and political trends related to public interest in nature and conservation. Here, we use the micro-blogging social network Twitter to explore trends in public interest in Brazilian protected areas (PAs). We identified ~400,000 Portuguese language tweets pertaining to all categories of Brazilian PAs over a ten-year period (1 January 2011-31 December 2020). We analysed the content of these tweets and calculated metrics of user engagement (likes and retweets) to uncover patterns and drivers of public interest in Brazilian PAs. Our results indicate that users / tweets mentioning PAs remained stable throughout the sample period. However, engagement with tweets grew steeply, particularly from 2018 onward and coinciding with a change in the Brazilian federal government. Furthermore, public interest was not evenly distributed across PAs; while national parks were the subject of the most tweets, mainly related to tourism activities, tweets related to conflicts among park users and managers were more likely to engage Twitter users. Our study highlights that automatic or semi-automatic monitoring of social media content and engagement has great potential as an early warning system to identify emerging conflicts and to generate data and metrics to support PA policy, governance and management.

Anti-stigma narratives and emotional comfort against health crisis: a context analysis of UGC short videos from patients with COVID-19 infections.

Patients narratives are being recorded increasingly frequently and spontaneously in short user produced content (UGC) films, which may have an impact on the vlogger's health as well as the public's comprehension of the relevant health concerns. This paper addressed three research questions regarding the population characteristics of UGC video publishers, the narrative theme of the videos, and the emotional orientation of the commenters. This study aimed to deepen our understanding of COVID-19 patients' narrative intentions and emotional needs through the theoretical frameworks of theory of planned behavior (TPB) and negative dominance theory (NDT). We collected 335 videos from 28 COVID-19 patients and 572,052 comments as samples on Douyin platform, the largest short-video website in China. Using Latent Semantic Analysis, we analyzed the descriptive information of the video blogs, the narrative textual information of the videos, and the emotional orientation of the comments. Our findings revealled seven categories of narrative themes, with 52.1% of video comments exhibiting a positive emotional orientation. Within a framework integrating TPB and NDT theories, we analyzed the behavioral intentions of vloggers and viewers during COVID-19 epidemic, and interpreted the persistent posting of videos and the active posting of comments as positive actions that counteracted the multiple effects of negative messages. This study contributes to the understanding of individual narratives in macro-risk communication, both theoretically and empirically, and offers policy recommendations in relevant fields.

"I Don't Want to Go to Work": A Mixed-Methods Analysis of Healthcare Worker Experiences from the Front- and Side-Lines of COVID-19.

During the COVID-19 pandemic, healthcare workers (HCW) were categorized as "essential" and "non-essential", creating a division where some were "locked-in" a system with little ability to prepare for or control the oncoming crisis. Others were "locked-out" regardless of whether their skills might be useful. The purpose of this study was to systematically gather data over the course of the COVID-19 pandemic from HCW through an interprofessional lens to examine experiences of locked-out HCW. This convergent parallel mixed-methods study captured perspectives representing nearly two dozen professions through a survey, administered via social media, and video blogs. Analysis included logistic regression models of differences in outcome measures by professional category and Rapid Identification of Themes from Audio recordings (RITA) of video blogs. We collected 1299 baseline responses from 15 April 2020 to 16 March 2021. Of those responses, 12.1% reported no signs of burnout, while 21.9% reported four or more signs. Qualitative analysis identified four themes: (1) professional identity, (2) intrinsic stressors, (3) extrinsic factors, and (4) coping strategies. There are some differences in the experiences of locked-in and locked-out HCW. This did not always lead to differing reports of moral distress and burnout, and both groups struggled to cope with the realities of the pandemic.

A holistic and proactive approach to forecasting cyber threats.

Traditionally, cyber-attack detection relies on reactive, assistive techniques, where pattern-matching algorithms help human experts to scan system logs and network traffic for known virus or malware signatures. Recent research has introduced effective Machine Learning (ML) models for cyber-attack detection, promising to automate the task of detecting, tracking and blocking malware and intruders. Much less effort has been devoted to cyber-attack prediction, especially beyond the short-term time scale of hours and days. Approaches that can forecast attacks likely to happen in the longer term are desirable, as this gives defenders more time to develop and share defensive actions and tools. Today, long-term predictions of attack waves are mostly based on the subjective perceptiveness of experienced human experts, which can be impaired by the scarcity of cyber-security expertise. This paper introduces a novel ML-based approach that leverages unstructured big data and logs to forecast the trend of cyber-attacks at a large scale, years in advance. To this end, we put forward a framework that utilises a monthly dataset of major cyber incidents in 36 countries over the past 11 years, with new features extracted from three major categories of big data sources, namely the scientific research literature, news, blogs, and tweets. Our framework not only identifies future attack trends in an automated fashion, but also generates a threat cycle that drills down into five key phases that constitute the life cycle of all 42 known cyber threats.

Healthy eating blog readership: A cross-sectional survey in Australian adults.

AIMS: To investigate whether members of the public read blogs for the purpose of accessing healthy eating information; examine demographic predictors of healthy eating blog readership, specifically education, gender, age, body mass index, and residential location; and explore the reasons for reading, and not reading, healthy eating blogs. METHODS: This study used a cross-sectional online self-reported survey design collected over three time points (round 1: December 2017-March 2018, round 2: August 2018-December 2018, round 3: December 2021-March 2022). The total sample of participants comprised of 238 respondents with a mean age of 46 years old, who mostly reported gender as female (82%), being educated with a university degree (69%), and predominantly resided in urban and city areas (84%). RESULTS: Fifty-one percent of respondents reported reading healthy eating blogs, suggesting that consumers were proactively seeking healthy eating information through this avenue. Participants who identified as female were 3.2 times more likely to read healthy eating blogs. Commonly, healthy eating blogs were read to receive practical information that aligned with current food choices. The main reason participants reported not reading healthy eating blogs was not thinking about using them (29%). CONCLUSIONS: Understanding who is seeking healthy eating information through blogs, and their reasons doing so, is important to continue research into the potential effectiveness of blogs as a platform to communicate healthy eating and nutrition messages. This study provides direction for further investigation into how dietetics professionals could effectively use blogs to disseminate healthy eating information and positively influence consumer food choices and dietary intake.

Competition for popularity and interventions on a Chinese microblogging site.

Microblogging sites are important vehicles for the users to obtain information and shape public opinion thus they are arenas of continuous competition for popularity. Most popular topics are usually indicated on ranking lists. In this study, we investigate the public attention dynamics through the Hot Search List (HSL) of the Chinese microblog Sina Weibo, where trending hashtags are ranked based on a multi-dimensional search volume index. We characterize the rank dynamics by the time spent by hashtags on the list, the time of the day they appear there, the rank diversity, and by the ranking trajectories. We show how the circadian rhythm affects the popularity of hashtags, and observe categories of their rank trajectories by a machine learning clustering algorithm. By analyzing patterns of ranking dynamics using various measures, we identify anomalies that are likely to result from the platform provider's intervention into the ranking, including the anchoring of hashtags to certain ranks on the HSL. We propose a simple model of ranking that explains the mechanism of this anchoring effect. We found an over-representation of hashtags related to international politics at 3 out of 4 anchoring ranks on the HSL, indicating possible manipulations of public opinion.

Do Bloggers Have Better Mental Health? The Social, Cognitive, and Psychological Benefits of Blogging in Emerging Adulthood.

BACKGROUND: The purpose of this study was to investigate the longitudinal processes by which blogging-related disclosure is linked to mental health. It was hypothesized that blogging had both social and cognitive benefits, including greater perceived social support and fewer memory slips, which were then associated with better mental health. METHODS: A total of 194 emerging adults were recruited three times at approximately three months apart. Participants filled out a self-report about their blogging activities and perceived benefits, social support, memory, and mental health at each time point. RESULTS: Path analysis indicated that perceived blogging-related benefits, needs, and traits mediated the relation between frequency of blogging and social support and memory slips, respectively. Moreover, social support marginally predicted greater mental health, whereas memory slips predicted poorer mental health, after controlling for baseline mental health, age, and gender. CONCLUSIONS: This study established the longitudinal associations between blogging and its benefits that may be vital for emerging adults' mental health.

Personal Narratives of Mental Illness: From Hostage to Survivor.

This study has delved into personal narratives extracted from online blogs to build a systematic view of mental illness trajectory through the portrayal offered by bloggers. One hundred and thirty-three blogs were reviewed and narrative analysis was used to interpret a final sample of 12 blogs. The results offer two main narratives-the hostage and the survivor-which illustrate, within the context of social and self-stigma, the need for an identity reformulation in order to reach recovery. The two narratives also led to the design of a model for mental illness trajectory (MMIT). The breaking down of mental illness trajectory into phases could be advantageous to promoting tailored interventions for specific stages of recovery. The importance of referring to lived experience when trying to understand and develop better treatments for mental illness has been well established. This study contributes to the growing body of research that includes the voice of the person with mental illness offering not only a vivid portrayal of life with mental health issues but also an understanding of the trajectory to recovery.

Digital Impact Factor: A Quality Index for Educational Blogs and Podcasts in Emergency Medicine and Critical Care.

STUDY OBJECTIVE: Given the popularity of educational blogs and podcasts in medicine, learners and educators need tools to identify trusted and impactful sites. The Social Media Index was a multi-sourced formula to rank the effect of emergency medicine and critical care blogs. In 2022, a key data point for the Social Media Index became unavailable. This bibliometric study aimed to develop a new measure, the Digital Impact Factor, as a replacement. METHODS: The Digital Impact Factor incorporated modern measures of website authority and reach. This formula was applied to a cross-sectional study of active emergency medicine and critical care blogs and podcasts. For each website, we generated a Digital Impact Factor score based on Ahrefs Domain Rating and the follower count of the websites' pages from 8 social media platforms. A series of Spearman correlations provided evidence of association by comparing a rank-ordered list to rank lists derived from the Social Media Index over the last 5 years. The Bland-Altman analysis assessed for agreement. RESULTS: The authors identified 88 relevant websites with a median Ahrefs Domain Rating of 28 (range 0 to 71, maximum 100) and total social media followership count across 8 platforms of 1,828,557. The Domain Rating and individual social media followership scores were normalized based on the highest recorded values to yield the Digital Impact Factor (median 4.57; range 0.02 to 9.50, maximum 10). The correlation between the 2022 Digital Impact Factor and the 2021 Social Media Index was 0.94 (95% confidence interval 0.89 to 0.97; p<.001; n=41 rankings correlated), suggesting that they measure similar constructs. The Bland-Altman plot also demonstrated fair agreement between the 2 scores. CONCLUSION: The Digital Impact Factor is a measure of the relative effect of educational blogs and podcasts within emergency medicine and critical care.

Exploring Korean adolescent stress on social media: a semantic network analysis.

Background: Considering that adolescents spend considerable time on the Internet and social media and experience high levels of stress, it is difficult to find a study that investigates adolescent stress through a big data-based network analysis of social media. Hence, this study was designed to provide basic data to establish desirable stress coping strategies for adolescents based on a big data-based network analysis of social media for Korean adolescent stress. The purpose of this study was to (1) identify social media words that express stress in adolescents and (2) investigate the associations between those words and their types. Methods: To analyse adolescent stress, we used social media data collected from online news and blog websites and performed semantic network analysis to understand the relationships among keywords extracted in the collected data. Results: The top five words used by Korean adolescents were counselling, school, suicide, depression, and activity in online news, and diet, exercise, eat, health, and obesity in blogs. As the top keywords of the blog are mainly related to diet and obesity, it reflects adolescents' high degree of interest in their bodies; the body is also a primary source of adolescent stress. In addition, blogs contained more content about the causes and symptoms of stress than online news, which focused more on stress resolution and coping. This highlights the trend that social blogging is a new channel for sharing personal information. Conclusions: The results of this study are valuable as they were derived through a social big data analysis of data obtained from online news and blogs, providing a wide range of implications related to adolescent stress. Hence this study can contribute basic data for the stress management of adolescents and their mental health management in the future.

Media coverage of cancer therapeutics: A review of literature.

BACKGROUND: Information and stories about cancer treatment are increasingly available to patients and the general public through lay media, websites, blogs and social media. While these resources may be helpful to supplement information provided during physician-patient discussions, there is growing concern about the extent to which media reports accurately reflect advances in cancer care. This review aimed to understand the landscape of published research which has described media coverage of cancer treatments. METHODS: This literature review included peer-reviewed primary research articles that reported how cancer treatments are portrayed in the lay media. A structured literature search of Medline, EMBASE and Google Scholar was performed. Potentially eligible articles were reviewed by three authors for inclusion. Three reviewers, each independently reviewed eligible studies; discrepancies were resolved by consensus. RESULTS: Fourteen studies were included. The content of the eligible studies reflected two thematic categories: articles that reviewed specific drugs/cancer treatment (n = 7) and articles that described media coverage of cancer treatment in general terms (n = 7). Key findings include the media's frequent and unfounded use of superlatives and hype for new cancer treatments. Parallel to this, media reports over-emphasize potential treatment benefits and do not present a balanced view of risks of side effects, cost, and death. At a broad level, there is emerging evidence that media reporting of cancer treatments may directly impact patient care and policy-making. CONCLUSIONS: This review identifies problems in current media reports of new cancer advances - especially with undue use of superlatives and hype. Given the frequency with which patients access this information and the potential for it to influence policy, there is a need for additional research in this space in addition to educational interventions with health journalists. The oncology community - scientists and clinicians - must ensure that we are not contributing to these problems.

Bio-citizens online: A content analysis of pro-ana and weight loss blogs.

Current neoliberal ideology in Western society encourages individuals to self-monitor their body to control population health. The resulting self-surveillance includes weight management, promoted as a marker of health. Disordered eating, like anorexia, is framed as a health disorder. However, weight loss is framed as a health initiative; we argue that these framings are engaging with the same body project, encouraging thinness as a marker of health and good bio-citizenry. Using content analysis to compare online blog context created by individuals engaged in weight loss and individuals who identify as pro-anorexia, we argue and evidence that both groups are engaged in body projects with shared parameters. Findings suggest each group is striving to embody a thin ideal through weight management. Specifically, weight loss bloggers and pro-ana bloggers demonstrate similar diet and exercise behaviours in online diaries detailing their weight loss experiences. Thus, weight loss and anorexia exist on the same spectrum of responsible bio-citizenry.

L'idéologie néolibérale actuelle de la société occidentale encourage les individus à surveiller leur propre corps dans l'intérêt de la santé de la population. L'auto-surveillance qui en résulte comprend la gestion du poids, présentée comme un marqueur de santé. Les troubles de l'alimentation, comme l'anorexie, sont présentés comme un trouble de la santé. Cependant, la perte de poids est présentée comme une initiative de santé; nous soutenons que ces cadrages s'engagent dans le même projet corporel, encourageant la minceur comme un marqueur de santé et de bonne biocitoyenneté. En utilisant l'analyse de contenu pour comparer le contexte des blogs en ligne créés par des personnes engagées dans la perte de poids et des personnes qui s'identifient comme pro-anorexie, nous soutenons et prouvons que les deux groupes sont engagés dans des projets corporels avec des paramètres partagés. Les résultats suggèrent que chaque groupe s'efforce d'incarner un idéal de minceur par la gestion du poids. Plus précisément, les blogueurs spécialisés dans la perte de poids et les blogueurs pro-anorexie adoptent des comportements similaires en matière de régime alimentaire et d'exercice physique dans les journaux en ligne qui détaillent leurs expériences de perte de poids. Ainsi, la perte de poids et l'anorexie existent sur le même spectre de la biocitoyenneté responsable.

Does Exposure to Pediatrician or Parent Blog Content Influence Infant Safe Sleep Practices?

OBJECTIVE: To examine whether exposure to safe sleep recommendations using a blog format changed infant sleep practices. METHODS: We conducted a pilot randomized controlled trial via Qualtrics, a web-based platform, with a national sample of parents of children < 1 year old. Survey questions about infant sleep practices included: bed-sharing, location, position and objects present. Safe sleep was defined as not bed-sharing, in a crib, bassinet or playard, back positioning, and no other objects present except pacifiers. Participants were randomized to read one of the following: (1) pediatrician blog post, (2) parent blog post, or (3) no blog post. The blog posts contained the same content about infant sleep but varied by identified authorship. All participants received links to online content about safe sleep. Participants received a follow-up survey 2-4 weeks later with the same questions about infant sleep practices. We compared responses in pre- and post-surveys by type of blog post exposure using multivariable logistic regression models. RESULTS: The average infant age (n = 1500) was 6.6 months (Standard Deviation 3.3). Most participants (74%) were female; 77% were married; 65% identified as white Non-Hispanic, 12% were black and 17% were Hispanic. 47% (n = 711) completed both surveys. We identified no differences in the odds of any of the four safe sleep practices after exposure to safe sleep recommendations in blog post format. CONCLUSION: Although in-person advice has been associated with improved safe sleep practices, we did not identify changes in infant sleep practices after exposure to safe sleep advice using blog posts.

Metaphors and decision making in parental blogs about their children with life-limiting diseases: who's afraid of the war metaphor?

The use of metaphors aids understanding by allowing us to think of complex problems in terms of relatively simple and more concrete information. As such, metaphors shape thought and guide future action. While metaphors are known to play a role in medical treatment decision-making, the effect of particular metaphors is unknown.This paper explores the metaphors West-European parents use for their child suffering from a life-limiting condition by analysing 15 blogs from Dutch, German and English and Welsh parents. The analysis found that all parents use war metaphors to describe their child and their disease. Describing their child in war metaphors, for example, 'fighter', 'hero' or 'trooper' allows parents to express their pride in their child. To describe the familial situation parents use both 'life as a fight' and a 'time as space' metaphor. Time is conceptualised as a space to be filled with positive experiences to allow the child to live as full a life as possible. In medical treatment decisions, parents balance 'fighting the disease' against their child's ability to live a good life. No evidence was found that the use of war metaphors increase a tendency to treat when benefit is unlikely. Instead, parents primarily use war metaphors as a conduit to express their love for their child and to empower them to manage the familial situation.