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.

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.

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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.
METHODS: 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.

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.

Many adolescents experience severe pain during menstruation, yet their attempts to receive medical attention to alleviate or manage this pain are often met with dismissal or disbelief. In light of these barriers to care, many adolescents turn to social media to share their experiences with menstruation and pain, as well as hear from other members of their community. In this study, we investigated how adolescents present their experiences with menstruation in vlogs (or \"video blogs\"). Using critical qualitative methods and a four-column analysis structure, we transcribed and thematically analyzed the audio and video content of 17 YouTube vlogs wherein adolescents described their experiences with menstrual pain. We found that stylistically, the vloggers modulated between a polished documentary style and an intimate storytime style of video production. We additionally found that vloggers spoke about their menstrual pain experiences from three perspectives: as a Patient managing and diagnosing physical symptoms, as a Self considering how the pain affects their life and ambitions, and as a Teacher educating their audience. Considering both the visual and audio data, we discuss how healthcare providers can use these findings to inform their approach to discussing menstrual pain with adolescents. We further discuss possible future directions for research into health story sharing on social media.

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.

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.

BACKGROUND: Skin conditions can detract from people\'s quality of life, much like conditions such as cancer, chronic pain, and depression. Visible skin conditions can lead to risk of stigmatization. It is acknowledged that there is a lack of available psychosocial support for people living with chronic skin conditions. One way in which individuals with long-term conditions are self-managing and providing peer support is through blogging and exchanging information on the web. To date, no research has specifically investigated how individuals with skin conditions experience the use blogging for self-management.
OBJECTIVE: This study sought to investigate the experiences of individuals with visible, long-term skin conditions when blogging about their conditions.
METHODS: A systematic blog search and a short survey were used for recruitment. A total of 4 participants took part in email interviews, which were analyzed using interpretative phenomenological analysis (IPA). Skin conditions included alopecia, psoriasis, and hirsutism. The content of these individuals\' blogs was also analyzed using a qualitative template method derived from the IPA analysis.
RESULTS: The interviews and accounts revealed a clear sense of uncertainty about the course of the bloggers\' skin conditions. This appeared to be associated with feelings of distress and isolation, searching for treatments, and ultimately a sense of defeat. The data revealed that blogging provided a space where this sense of defeat was managed and challenged. Posting on the web facilitated connection with others and enabled support networks to be established that assisted in challenging the feelings of isolation experienced. The data demonstrate the important role that blogging played for these participants in developing a sense of acceptance of their condition.
CONCLUSIONS: Blogging may provide a way for individuals to self-manage distress associated with visible skin conditions. It may provide similar benefits to those known to be derived from emotional disclosure that occurs during writing, with an added peer support dimension. Blogging has occurred naturalistically on web-based forums, and this study demonstrates how this form of interaction may warrant adaptation for use with web-based psychosocial interventions for people living with skin conditions. This study had a limited sample of 4 bloggers; therefore, further exploration would be needed to consider the utility of this approach.

BACKGROUND: The social media microblogging service Twitter is gaining popularity in the field of urology as a fast and effective communication platform. We assessed volume, subject matter, influencers and content of urology related discussions on the Twitter platform using the recently proposed Urology Tag Ontology hashtag list.
METHODS: We queried the Symplur Signals database for tweet activity during a 1-year period. We used the Urology Tag Ontology hashtag list, comprised of 45 disease related hashtags in 9 urological subspecialties, to assess activity (numbers of tweets, users and impressions), users (geolocation, influencers) and content (words, tweet enhancements) of urology related Twitter traffic.
RESULTS: Twitter activity during the study period included 334,642 tweets by 104,166 users with 1,397,107,305 impressions. Tweet activity varied among urological subspecialties and was largely dominated by urological oncology topics driven by #ProstateCancer. Users came from 224 countries and from all continents around the globe. Health care organizations accounted for the largest proportion of influencers (44%), followed by other individuals (22%) and physicians (13%). The top words were \"prevent\" (used 20,955 times), \"cancer\" (19,610), \"follow\" (19,169), \"men\" (19,165) and \"condom\" (18,425). The median (range) number of shares was 2,200 (1,414-8,854) for the top 10 links, 2,123 (1,878-2,737) for the top 10 retweets and 207 (12-438) for the top 10 photos.
CONCLUSIONS: Twitter activity in the field of urology can be assessed using a standardized list of social media communication descriptors. The value of the Twitter communication platform is underscored by the large number of tweets and impressions in the urology space.