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This paper focuses on integrating multimodal communication into the English-as-a-foreign-language classroom to enhance the development of students' multimodal communicative competence, multiliteracies, and 21st-century skills. To do so, I compiled a corpus of authentic materials from Lady Whistledown's Society Papers in Julia Quinn's novel "The Viscount Who Loved Me" (2000), her appearances as narrator in the Netflix series "Bridgerton" (2022), and some tweets posted by @Bridgerton. This corpus was used to plan and design a game-based teaching proposal. Finally, the paper offers a critical analysis and suggests how this proposal can feasibly contribute to fostering students' multimodal communicative competence.

The advent of social media has changed numerous aspects of modern life, with users developing and maintaining personal and professional relationships, following and sharing breaking news and importantly, searching for and disseminating health information and medical research. In the present paper, we reviewed available literature to outline the potential uses, pitfalls and impacts of social media for providers, scientists and institutions involved in digestive health in the domains of patient care, research and professional development. We recommend that these groups become more active participants on social media platforms to combat misinformation, advocate for patients, and curate and disseminate valuable research and educational materials. We also recommend that societies such as NASPGHAN assist its members in accessing training on effective social media use and the creation and maintenance of public-facing profiles and that academic institutions incorporate substantive social media contributions into academic promotion processes., (© 2024 The Authors. Journal of Pediatric Gastroenterology and Nutrition published by Wiley Periodicals LLC on behalf of European Society for Pediatric Gastroenterology, Hepatology, and Nutrition and North American Society for Pediatric Gastroenterology, Hepatology, and Nutrition.)

The growing significance of social media in research demands new ethical standards and practices. Although a substantial body of literature on social media ethics exists, studies on the ethics of conducting research using social media are scarce. The emergence of new evidence sources, like social media, requires innovative methods and renewed consideration of research ethics. Therefore, we pose the following question: What are the defining characteristics of ethics papers on social media research? Following a modified version of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, we analyzed 34 publications based on ten variables: author gender, publication year, region, academic discipline, type, design, methodology, social media platform in focus, positionality statement, and ethical issues. Our findings suggest contemporary social media research ethics primarily reflects the ethical ideals of the Global North, with limited representation from the Global South. Women authors have published more papers than men authors. Previous studies have prioritized ethical concerns such as privacy, informed consent, and anonymity while overlooking researchers' risks and the ethics of social media sites. We particularly emphasized the lack of researchers' positionality statements in research. Our findings will pave the way to understanding social media ethics better, especially with the rapid growth of social media research in global scholarship.

SYNOPSIS: The clinical and scientific understanding of tendinopathy has substantially advanced since the Fifth International Scientific Tendinopathy Symposium in 2019. This editorial aims to highlight some of the fantastic tendinopathy research from the past 5 years. We have selected what we consider the "best paper" for each year from 2019 to 2023, which might change how you treat tendons. Selecting only 5 papers was not easy. Did your favorite papers make the cut? Or do you think we missed some key studies? We encourage you to tell us what you think using the social media hashtag #JOSPTtendon. J Orthop Sports Phys Ther 2024;54(1):1-3. Epub 16 November 2023. doi:10.2519/jospt.2023.12372 .

The notable increase in retraction papers has attracted considerable attention from diverse stakeholders. Various sources are now offering information related to research integrity, including concerns voiced on social media, disclosed lists of paper mills, and retraction notices accessible through journal websites. However, despite the availability of such resources, there remains a lack of a unified platform to consolidate this information, thereby hindering efficient searching and cross-referencing. Thus, it is imperative to develop a comprehensive platform for retracted papers and related concerns. This article aims to introduce "Amend," a platform designed to integrate information on research integrity from diverse sources. The Amend platform consolidates concerns and lists of problematic articles sourced from social media platforms (e.g., PubPeer, For Better Science), retraction notices from journal websites, and citation databases (e.g., Web of Science, CrossRef). Moreover, Amend includes investigation and punishment announcements released by administrative agencies (e.g., NSFC, MOE, MOST, CAS). Each related paper is marked and can be traced back to its information source via a provided link. Furthermore, the Amend database incorporates various attributes of retracted articles, including citation topics, funding details, open access status, and more. The reasons for retraction are identified and classified as either academic misconduct or honest errors, with detailed subcategories provided for further clarity. Within the Amend platform, a total of 32,515 retracted papers indexed in SCI, SSCI, and ESCI between 1980 and 2023 were identified. Of these, 26,620 (81.87%) were associated with academic misconduct. The retraction rate stands at 6.64 per 10,000 articles. Notably, the retraction rate for non-gold open access articles significantly differs from that for gold open access articles, with this disparity progressively widening over the years. Furthermore, the reasons for retractions have shifted from traditional individual behaviors like falsification, fabrication, plagiarism, and duplication to more organized large-scale fraudulent practices, including Paper Mills, Fake Peer-review, and Artificial Intelligence Generated Content (AIGC). The Amend platform may not fully capture all retracted and concerning papers, thereby impacting its comprehensiveness. Additionally, inaccuracies in retraction notices may lead to errors in tagged reasons. Amend provides an integrated platform for stakeholders to enhance monitoring, analysis, and research on academic misconduct issues. Ultimately, the Amend database can contribute to upholding scientific integrity. This study introduces a globally integrated platform for retracted and concerning papers, along with a preliminary analysis of the evolutionary trends in retracted papers. [ABSTRACT FROM AUTHOR]

In an era overwhelmed by academic big data, students grapple with identifying academic papers that resonate with their learning objectives and research interests, due to the sheer volume and complexity of available information. This study addresses the challenge by proposing a novel academic paper recommendation system designed to enhance personalized learning through the nuanced understanding of academic social networks. Utilizing the theory of social homogeneity, the research first constructs a sophisticated academic social network, capturing high-order social relationships, such as co-authorship and advisor–advisee connections, through hypergraph modeling and advanced network representation learning techniques. The methodology encompasses the development and integration of a hypergraph convolutional neural network and a contrastive learning framework to accurately model and recommend academic papers, focusing on aligning with students' unique preferences and reducing reliance on sparse interaction data. The findings, validated across multiple real-world datasets, demonstrate a significant improvement in recommendation accuracy, particularly in addressing the cold-start problem and effectively mapping advisor–advisee relationships. The study concludes that leveraging complex academic social networks can substantially enhance the personalization and precision of academic paper recommendations, offering a promising avenue for addressing the challenges of academic information overload and fostering more effective personalized learning environments. [ABSTRACT FROM AUTHOR]

Background: With the widespread use of social media, understanding how healthcare professionals, such as dietitians, utilise these platforms for their work has gained interest. The aim of the current study was to describe how Finnish registered dietitians utilise various social media channels for professional purposes. The study also investigated the perceived social media skills of dietitians., Methods: A cross-sectional study was conducted using an online survey administered between December 2022 and February 2023. The participants were 107 Finnish registered dietitians who held a master's degree suitable for the profession. The Fisher's exact test was employed for categorical variables, whereas the Kruskal-Wallis test was used for ordinal variables with multiple groups., Results: Out of the 107 participants, 62 (58%) reported using social media for professional purposes. The primary purposes across various social media channels were interaction with colleagues (80%) on Facebook, networking with professionals from other fields (86%) on LinkedIn and general monitoring of the field on Instagram (91%), Twitter (77%) and YouTube (58%). Dietitians' perceived social media skills were found to have a statistically significant relationship with age (p < 0.05) for all channels, except Twitter., Conclusions: The findings suggest that Finnish dietitians predominantly utilise social media for passive monitoring of the field, rather than actively sharing content with the public. Professional communication tends to take place within their own professional groups. Incorporating social media use into the official job description could serve as an encouraging factor to enhance the professional utilisation of social media among dietitians., (© 2024 The Authors. Journal of Human Nutrition and Dietetics published by John Wiley & Sons Ltd on behalf of British Dietetic Association.)

• A new indicator, SMIAltmetric, for measuring scientific paper's social media impact. • Key impact factors: Followers, retweets, mentions, and Citation. • SMIAltmetric outperforms Altmetric in finer differentiation. The rise of social media has significantly influenced scholarly communication, knowledge dissemination, and research evaluation, leading to the enrichment of alternative metrics (altmetrics) for evaluating academic papers' social impact, which assesses the social impact of academic papers through online activities, including reading, bookmarking, downloading, and commenting. However, these altmetrics often focus on the number of mentions on social media rather than thoroughly evaluating the source, content, and dissemination of these mentions. To address this gap, this study introduces the social media impact altmetric (SMIAltmetric), which is based on 44,087 publications and 860,680 tweets (now "posts"), a comprehensive scoring system for evaluating scientific papers on Twitter (now "X"), using diverse features, including literature-related, social media engagement-related, user-related, and content-related features. Employing Altmetric Attention Acores (AAS) as labels, we tested eight machine learning algorithms, with XGBoost demonstrating the highest accuracy at 0.8672. Crucial factors influencing SMIAltmetric, as identified by the SHAP value, were followers, retweets, mentions, and citation. Furthermore, consistency analysis and convergent validation between the proposed SMIAltmetric and AAS confirm the reliability and finer differentiation of SMIAltmetric. The proposed SMIAltmetric provides a more comprehensive understanding of a paper's social media impact, enhancing the evaluation of scientific discourse and its engagement with society. [ABSTRACT FROM AUTHOR]

We explore in this paper the impulse to share our academic work via social media as well as the impact this sharing has on our senses of self as scholars and persons. We argue that this sharing raises a number of important philosophical questions: In what way does the branding or profiling encouraged by X/Twitter impact on our personal identity? How does the publicness of this particular platform disrupt the intimacy that lies at the heart of all edifying human relationship? And to invoke the terms of critical theorist, Axel Honneth, can we as teachers and researchers recognize ourselves in the social media sphere? Writing from the perspective of philosophy of education, Conroy and Smith (2017: 706) have argued that the contemporary university has been taken over by 'Professor Lookatme' and 'Dr Loudmouth' -- but we are interested in the extent to which these caricatured figures are necessarily representative of today's academy. While our paper draws attention to the dark side of social media, then, it still explores the possibilities for authentic selfhood as well as meaningful community in our increasingly digitized academic worlds.

In this practice-based pedagogical paper, we, the university faculty of Education, Food and Nutrition, Sociology, and History in the U.S., describe how we started a Reflective Practice Teaching Circle at our institution for interdisciplinary dialogue about the effective use of social media (SM) for teaching and learning. Our discussions led to the design of the Social Media Entry Model that educators can use for decision-making. We begin this paper with a brief synthesis of scholarly literature describing students' SM use and how higher education faculty use SM to support 21st-century skills development. Next, we describe the institutional, individual, and pedagogical barriers that prevent faculty from embracing SM as a teaching and learning tool. Based on our shared vision and praxis, we present the Social Media Entry Model and describe how educators can use it when deciding how to integrate SM into the formal or informal curriculum. Through our narratives, we illustrate how we use a variety of SM platforms and different entry points in the model to enhance students' 21st-century skills. We also discuss the legal and ethical issues that educators must consider to ensure that university students use SM in a socially responsible manner.

Background: The emergence of ChatGPT in the education literature represents a transformative phase in educational technology research, marked by a surge in publications driven by initial research interest in new topics and media hype. While these publications highlight ChatGPT's potential in education, concerns arise regarding their quality, methodology, and uniqueness. Objective: Our study employs unconventional methods by combining altmetrics and bibliometrics to explore ChatGPT in education comprehensively. Methods: Two scholarly databases, Web of Science and Altmetric, were adopted to retrieve publications with citations and those mentioned on social media, respectively. We used a search query, "ChatGPT," and set the publication date between November 30th, 2022, and August 31st, 2023. Both datasets were within the education-related domains. Through a filtering process, we identified three publication categories: 49 papers with both altmetrics and citations, 60 with altmetrics only, and 66 with citations only. Descriptive statistical analysis was conducted on all three lists of papers, further dividing the entire collection into three distinct periods. All the selected papers underwent detailed coding regarding open access, paper types, subject domains, and learner levels. Furthermore, we analysed the keywords occurring and visualized clusters of the co-occurring keywords. Results and Conclusions: An intriguing finding is the significant correlation between media/social media mentions and academic citations in ChatGPT in education papers, underscoring the transformative potential of ChatGPT and the urgency of its incorporation into practice. Our keyword analysis also reveals distinctions between the themes of the papers that received both mentions and citations and those that received only citations but no mentions. Additionally, we noticed a limitation that authors' choice of keywords might be influenced by individual subjective judgements, potentially skewing results in thematic analysis based solely on author-assigned keywords such as keyword co-occurrence analysis. Henceforth, we advocate for developing a standardized keyword taxonomy in the educational technology field and integrating Large Language Models to enhance keyword analysis in altmetric and bibliometric tools. This study reveals that ChatGPT in education literature is evolving from rapid publication to rigorous research.