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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 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.

For almost 40 years, the Minute Paper has been a quick and easy means of learning assessment, both in the college classroom and in library instruction. More recently, the use of social media, particularly selfies, has gained popularity by connecting with students through the technology with which they are most familiar. This article makes the case for combining the Minute Paper and selfies in order to gain an insight into students' skill development and retention after a library session. Adaptable to a variety of classes and learning outcomes, the activity enables students to actively use the skills they have learned, rather than passively reflecting on them.

Introduction: This paper deals with what academic texts and datasets are referred to and discussed on Twitter. We used document object identifiers as references to these items. Method: We streamed tweets from the Twitter application programming interface including the strings "dx" and "doi" while simultaneously streaming tweets posted by and to the authors of the tweets captured. By doing so we were able to capture tweets referring to a digital object as well as the replies to these tweets. Analysis: The captured tweets were analysed in different ways, both quantitatively and qualitatively: 1) Bibliometric analyses were made on the digital object identifiers, 2) the thirty of these most mentioned and retweeted were analysed and 3) the conversations with at least ten tweets were analysed using content analysis. Results: Research from the natural sciences was most prominent, as was research published in open access journals. Different types of conversations relating to the digital objects were found, both when looking at them qualitative and their visual structure in terms of nodes and arcs. The conversations involved academics but were not always academic in nature. Conclusions: Digital object identifiers were mainly referred to for self-promotion, as conversation starters or as arguments in discussions.

This paper reports a study coauthored with second-year undergraduate students that examines student experiences of undertaking real-life, client-set marketing assessments with an equality and inclusion remit. Students were set a marketing assessment with an explicit social justice focus, thereby prompting them to reflect on their own backgrounds and unconscious biases whilst addressing issues of societal injustice. This study explores the impact on students of closely engaging with this material and how the assessment, which involved them interviewing experts and developing actionable recommendations, altered their views and career plans. Data were generated via focus groups with students who undertook the assessment, supplemented by some alumni and client interviews. The findings are presented as a "3A" framework of Awareness, Application, and Action: first, the assessment raised "Awareness" of broader societal issues and fostered transformation in terms of personal views; second, students developed core skills and networks they could "Apply" in their future careers; and third, "Action" describes the way students felt empowered to make a positive difference to their client and wider society. The 3A model provides simple design principles that educators could implement if they want to introduce transformational experiences based on social justice issues into the marketing curriculum.

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]

Conservative activism around the purported influence of Critical Race Theory (CRT) on K-12 education has swept the country in recent years. While others have documented the sources of these messages, how school districts have responded to these critiques has not yet been investigated. Drawing on research on how social media algorithms elevate polarizing information and activate emotions, we analyze public social media posts on school/district Facebook pages mentioning the phrase "critical race" to examine how educators address the claim of teaching CRT and how the local community responds. We use sentiment analysis to examine the emotions of these posts and how they are distributed across states. We also explore the sentiment of subsequent community reactions reflected in the comments of each post, including negative emotions such as anger and fear, and positive emotions such as trust. This study has implications for how school districts can help to stop cycles of fearful rhetoric and engage with stakeholders in ways that unite a school community around shared priorities.

Drawingvoice 2.0 is an instructional method of collaborative pencil and paper drawing to use in the school classroom, followed by Facebook interaction on the drawing produced in class. It is based on a participatory and meta reflective approach, explicitly aimed at deconstructing, negotiating, and reconstructing the meaning that students attribute to themselves regarding their professional expectations and educational pathways. In particular, the collaborative pencil and paper drawing allows for the student's emotional symbolisation processes underlying their educational pathway. Drawingvoice 2.0 induces a multidimensional cognitive and meta-cognitive process further supported by the following interaction on Facebook. Therefore, the World Wide Web is the added resource for sharing and deepening the classmates' discussion. Finally, Drawingvoice 2.0 supported structural group interaction and was an important supportive and instructional method to bring about transformational and developmental training practices. As the main result, in our experience, psychology students increased their reflectivity about their strengths and threats in being psychologists within their cultural contexts and potential positive resources underlying their choice. Drawingvoice 2.0 thus enhanced their self-awareness about the lights and shadows of their training and future professional career.

Facebook has best leveraged the rapid technological and societal changes over the past decade to grow into the world's largest social-networking site (SNS). However, research of Facebook has lagged behind other Web 2.0 technologies, particularly in regards to investigating its efficacy versus a control group to improve L2 writing. This study, which involved 30 Japanese university English as a foreign language (EFL) students, aims to fill this gap in the literature by examining three areas of L2 writing, namely--writing fluency, lexical richness, and grammatical accuracy--in an experimental group using Facebook (n = 16) and a control group (n = 14) using paper-and-pencil. Both groups underwent a 12-week treatment of two in-class focused freewritings a week. Three writing assessments were administered at the start, middle, and end of the treatment to assess its effectiveness. Results from the Mann-Whitney test showed that the experimental group made more significant gains in terms of writing fluency. On the other hand, neither group made significant progress in lexical richness nor grammatical accuracy. These findings strengthen previous research in support of the use of Facebook in L2 classes and highlight the need for additional studies comparing Facebook with other writing mediums.

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.

Death is an inevitable part of life and highly relevant to information management: its approach often requires preparation, and its occurrence often demands a response. Many works in information science have acknowledged so much, and yet death is rarely a focused topic, appearing instead sporadically and disconnected across research. As a result there is no introduction to, overview of, or synthesis across studies on death and information. We therefore conducted an extensive literature search and reviewed nearly 300 scholarly publications at the intersection of death and information (and data) management. Covering seven topics in total, we review two groups of work directly engaging information management in relation to death (digital possessions, inheritance, and legacy; information behavior, needs, and practices around death), three engaging death and technology that require information and its management (death and the Internet, thanatosensitive design and technology‐augmented death practices, and the digital afterlife and digital immortality), and two reflecting the ethical and legal dimensions unique to death and information. We then integrate the collective findings to summarize the landscape of death‐related information research, outline remaining challenges for individuals, families, institutions, and society, and identify promising directions for future information science research. [ABSTRACT FROM AUTHOR]

Two professors share how they combined Web 2.0, multicultural themes, and undergraduate research in a first-year seminar. The professors explain the "perfect storm" of a project in which undergraduate students collected and analyzed tweets from advocates for various multicultural causes to produce their first collegiate research project. Capitalizing on student interest in social networking, professors aimed to meet multiple student learning objectives and satisfy an overarching theme of multiculturalism for the first-year seminar at a university in the southwestern United States. Students analyzed Twitter handles for causes or individuals advocating for causes related to social, political, and humanitarian efforts. Using basic qualitative and quantitative approaches, students wrote undergraduate research papers and presented their findings about how their cause and advocates used Twitter. The article provides project and assessment rubrics, ideas for improvement, and tools for replication.

Social media platforms such as Twitter is constantly transforming the usage of lexical items among global Internet users, including in Malaysia. Interestingly, despite adopting British English in the national education system, American English is gaining prominence among Malaysians due to the widespread dissemination of American English through the media. American English has been classified as a hyper-central language, serving as the hub for global English in Mair's theory of The World System of Englishes. Despite of the magnitude of American English as a global language, there is a dearth of research on how American English is affecting other varieties of English, especially Malaysian English. There is a need to examine the role of American English in leading global language variation and change. Thus, this conceptual paper proposes how the influence of American English on Malaysian English, in terms of lexical items can be investigated on Twitter. This paper demonstrates how two emerging American lexical items lit and on fleek can be investigated in terms of its trend of frequency and patterns of usage in Malaysian Twitter through a number of tools and methods. Results from such a study may be able to reveal the extent to which Malaysian English is influenced by American English in terms of lexical units on Twitter, shedding light on the global transformation of the English language. [ABSTRACT FROM AUTHOR]

• 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]

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.

The growing presence and impact of predominantly female online influencers suggests the proliferation of a cultural phenomenon that characterizes the social aspects of our digital lives. Working with the notion of gender and maker literacies, this paper shines light on newer forms of making practices by looking at influencer cultures of five popular online social media platforms. Situating the research in a Caribbean context, this paper examines the "influencer culture" by looking at the platformized literacy practices of four Caribbean female influencers and using the concepts of literacy sponsorship and creolization as lenses through which to view the interrelationships and accompanying practices between the influencers and their local and global followers. The paper argues that social media platforms are strategically curated digital-maker spaces that influencers use to shift and change literacy practices and perspectives related to gender, language, and culture. Findings from this qualitative study suggest that these influencers' sponsorship of creolized literacies is reflected in their power to enact social change and transformation through advocacy, consciousness, and community-building. The paper concludes by considering the potential for such social actors and their digital-making practices to influence our contemporary global sociocultural and educational landscapes.

The technological advancements and emergence of new kinds of communication mediums, especially social media and networks, have brought an era of unprecedented connectivity, which can be leveraged for better science communication. This paper explores social media activity around Indian research papers with the objective of evaluating if the quantum of activity is sufficient enough to indicate that social media can be an effective medium of science communication in India. In the absence of any existing survey of social media usage by scientists in India, the paper uses altmetrics as a proxy measure to capture; science communication activities around two major classes, namely, science-science connect and science-society connect. Results indicate that social media activity around Indian research papers is relatively low as compared to the developed countries and also the world average. There is a higher activity in science-science connect (Mendeley) whereas science-society connect is less pronounced (other social media and news). The paper argues that there is a need to expose Indian research community to the opportunities that social media presents and that an appropriate use can be helpful for improved science-science and science-society connects. [ABSTRACT FROM AUTHOR]

A scientific paper's citation represents its influence, which is the most intuitive indicator to access the quality of papers. This paper mainly adopts the social network analysis method, using the authors and the keywords of sports industry papers in China to constitute the networks of collaboration and knowledge, to explore effects of the degree centrality of authors and keywords and the structural hole of authors and keywords on the citation of papers in the collaboration and knowledge networks and draw the following conclusions: (1) as for collaboration networks, the degree centrality at the paper level is positively correlated with citations; (2) in the collaboration network, the positive correlation between the structural hole at the paper level and citations does not exist; (3) within knowledge networks, an inverted- U shape was found between degree centrality and paper's citation; and (4) within knowledge networks, a positive correlation is in existence between the structural hole of papers and their citation. This study synthesizes the already widely used collaboration network with the knowledge network constructed through keywords, distinguishes from the previous network features focusing at the author level, and explores research projects of Chinese Sports Industry from the paper level, providing a new perspective for the research of sports industry in China, complementing the methods and ideas of sports industry research, as well as providing a reference for the research in other disciplinary fields. [ABSTRACT FROM AUTHOR]

Purpose: Prospective students are exposed to abundant choices, and they are eagerly searching for information to select the best universities for themselves. Likewise, prospectuses are regularly produced by universities to meet this information needs; the purpose of this paper is to examine the key marketing messages used in their prospectuses. Design/methodology/approach: The 2017 undergraduate prospectuses of 121 universities in the UK (out of the 134 members of University UK) were thematically analysed using NVivo10. Findings: Messages were predominantly about the location, the course, student experience, credibility and career progression. They are framed in an appealing way, filled with facts and figures, images of beautiful buildings and smiling students, testimonials of facilities and experiences that form a sense of compatibility and belonging. Research limitations/implications: This study provides insights for the higher educational institutions to enhance their future marketing communications strategies in terms of effectively differentiating one university from another by highlighting the predominantly used appeals among 121 prospectuses and the need for adopting a more consistent approach between the clearing period and non-clearing period in terms of designing the prospectuses. This study has considered only the print platform, and therefore future studies should also look at social media and university websites in the context of the integrated marketing communications. Practical implications: Accurate and coherent narratives should be provided, taking into consideration the diverse nature of target audience. Universities need to realise that they can be held responsible for the promises presented in their prospectuses. Using the city appeal by many universities may be challenging, as there is need to attract students not just to the city itself, but to the university's campus. Originality/value: Having a significantly larger sample than any other previous studies in this field, the empirical evidence provided in this paper is rich and in-depth, thanks to the size and age of the sample as well as the integrated and combined methodological approach. Five keys themes with sub-themes, descriptions and examples were provided, suitable for future research in higher education marketing.

Retracted papers often circulate widely on social media, digital news, and other websites before their official retraction. The spread of potentially inaccurate or misleading results from retracted papers can harm the scientific community and the public. Here, we quantify the amount and type of attention 3,851 retracted papers received over time in different online platforms. Comparingwith a set of nonretracted control papers fromthe same journals with similar publication year, number of coauthors, and author impact, we show that retracted papers receive more attention after publication not only on social media but also, on heavily curated platforms, such as news outlets and knowledge repositories, amplifying the negative impact on the public. At the same time, we find that posts on Twitter tend to express more criticism about retracted than about control papers, suggesting that criticism-expressing tweets could contain factual information about problematic papers. Most importantly, around the time they are retracted, papers generate discussions that are primarily about the retraction incident rather than about research findings, showing that by this point, papers have exhausted attention to their results and highlighting the limited effect of retractions. Our findings reveal the extent to which retracted papers are discussed on different online platforms and identify at scale audience criticism toward them. In this context, we show that retraction is not an effective tool to reduce online attention to problematic papers. [ABSTRACT FROM AUTHOR]

English language education nowadays is not merely about the instruction and acquisition of linguistic knowledge and skills. Instead, it has progressed to the real-life applications of the target language, which further requires a mastery of cultural knowledge and skills. In terms of culture, English as a Foreign Language (EFL) learners, compared to native speakers of English, own their unique native culture. Yet, since language teachers tend to focus on the delivery of English cultural knowledge, EFL learners' native culture is sometimes shadowed in the mainstream English classrooms worldwide. To this end, this exploratory paper aims to advocate attention to the importance of EFL learners' native culture awareness and share some practical teaching and learning experiences in an English course called "Multimedia and Foreign Language Learning." The paper outlines the pedagogical design of the course in China, providing classroom examples and practical suggestions to course designers, educators and instructors. We expect to give insights into integrating native culture into foreign language education in university settings.

Exponential growth in social media has led to the increasing popularity of hate speech and hate-based propaganda. Hate speech or malicious expression refers to the use of offensive, violent, or offensive language and its religious conduct with a specific group of people who share a common property, such as gender, ethnicity, race, or beliefs. Online hate diffusion has now become a serious problem as it creates a series of international initiatives aimed at defining problems and developing effective countermeasures; this study delves into the exploration of the intention of hate speech posting on social media, especially on Twitter. Both dramaturgical models of social interaction and cultivation theory were used to explain the hate speech culture phenomenon. A qualitative method is proposed for this study as part of the exploration. Results revealed that most of the previous studies on hate speech focused on the field of computer science but rarely on the communication field. The paper presents the results of past studies and shows the new proposed framework. The investigation suggests future directions for the problem and possible solutions; it starts with the background of the research, the explanation of the problem, the meaning of the research, and pursuing the research questions and goals of the research before finally explaining the limits.