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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]

Copyright of ModaPalavra e-periódico is the property of Universidade do Estado de Santa Catarina and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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]

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. [ABSTRACT FROM AUTHOR]

Two recent changes on social media platforms include (1) allowing users to mask the number of "likes" on others' posts, aimed at reducing social comparisons and consequent technology-mediated dangerous behaviors (TMDBs), such as disclosing private information, and (2) adding a "dislike" reaction, aimed at increasing engagement. Nevertheless, the effects of these changes on user behaviors are unclear. In this paper, we seek to address this gap by integrating risk-sensitivity theory (RST) and prospect theory. First, we explain that while masking others' "likes" may reduce social comparison, based on the "homeostatic violation" concept, people also make internal comparisons to expectations. Undesirable deviations from users' expectations of "likes" and "dislikes" (e.g., too few "likes" or too many "dislikes") can motivate TMDBs that users believe can alleviate the undesirable deviations. Thus, we argue that, in addition to social comparison mechanisms, there is an internal comparison mechanism that can motivate TMDBs. We test these claims via five randomized controlled experiments (total n = 1,594). Results show that, beyond social comparison mechanisms, receiving too few "likes" or too many "dislikes," compared to internal expectations, can motivate TMDBs. Moreover, we found that losses loom larger than gains as users are more likely to engage in TMDBs to avoid excess "dislikes" than to avoid deprivation of "likes." These findings make novel contributions to social media research and practice by pointing to an internal comparison mechanism as a potent motivator of TMDBs beyond social comparison processes and to the higher "toxicity" of "dislikes" than "likes" in terms of inciting TMDBs on social media. [ABSTRACT FROM AUTHOR]

As athletes enter a new chapter in their lives retiring from their sport, the challenge of upholding and enhancing personal brands arises. There has been extensive research on athlete brand building via social media; however, there have been few studies analyzing how athletes build their own brands and brand extensions postcareer, particularly former National Football League (NFL) players. Sixteen retired NFL athletes were examined using Goffman's theory of self-presentation to determine strategies used for building personal brand extensions and obtaining follower engagement via Instagram. Through a content analysis, a total of 2,933 Instagram posts were analyzed, and the findings from this study revealed that former NFL players with fewer followers received higher engagement rates, and retired NFL players made more backstage type of posts on personal pages compared with front-stage posts. Implications, recommendations, and future research suggestions also are discussed within the paper. [ABSTRACT FROM AUTHOR]

Multiple studies across a variety of scientific disciplines have shown that the number of times that a paper is shared on Twitter (now called X) is correlated with the number of citations that paper receives. However, these studies were not designed to answer whether tweeting about scientific papers causes an increase in citations, or whether they were simply highlighting that some papers have higher relevance, importance or quality and are therefore both tweeted about more and cited more. The authors of this study are leading science communicators on Twitter from several life science disciplines, with substantially higher follower counts than the average scientist, making us uniquely placed to address this question. We conducted a three-year-long controlled experiment, randomly selecting five articles published in the same month and journal, and randomly tweeting one while retaining the others as controls. This process was repeated for 10 articles from each of 11 journals, recording Altmetric scores, number of tweets, and citation counts before and after tweeting. Randomization tests revealed that tweeted articles were downloaded 2.6–3.9 times more often than controls immediately after tweeting, and retained significantly higher Altmetric scores (+81%) and number of tweets (+105%) three years after tweeting. However, while some tweeted papers were cited more than their respective control papers published in the same journal and month, the overall increase in citation counts after three years (+7% for Web of Science and +12% for Google Scholar) was not statistically significant (p > 0.15). Therefore while discussing science on social media has many professional and societal benefits (and has been a lot of fun), increasing the citation rate of a scientist's papers is likely not among them. [ABSTRACT FROM AUTHOR]

Copyright of Die Kardiologie is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of An-Najah University Journal for Research, B: Humanities is the property of An-Najah National University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Social media platforms such as Facebook, Twitter, WhatsApp, Instagram, etc have received the attention of the scholars in Media and Communication Studies, Political Science, Public Administration and other cognate academic disciplines. From the academic literature produced thus far, it is clear that social media is not uniformly understood even by those who research, write and publish from a common epistemic vintage point, which is largely dominated by Westernised consciousness. As such, this desktop paper employs Afrocentricity as an alternative and contextual lens to dissect Shepherd Mpofu’s recent Facebook roar. The latter is complimented by a few rants featured on other platforms including but not limited to WhatsApp and Twitter. The main argument of this paper is that due to their less regulated nature, Facebook and other social media platforms have become useful tools for nursing the tortured consciousness of Mpofu and et al whose egos have been injured by what appears to be an invalidation of their past intellectual contributions on Gukurahundi. [ABSTRACT FROM AUTHOR]

Many stray animals throughout the world unfortunately do not get the opportunity to find the loving home that they deserve. In this classification task, we look to develop an algorithm to predict the speed of pet adoptions. The input to our algorithm includes animal type (dog or cat), breed, gender, colour, profile picture online and the descriptions about the pet, etc. We then use both traditional machine learning techniques (Logistic Regression, Naive Bayes, SVM, Decision Tree, Random Forest and Gradient Boosting) and neural networks (fully connected neural networks and long short-term memory Model) to predict the adoption rate. In particular, we build feature vectors using information extracted from description scripts and feed them into neural network models. We are hoping to examine the results to develop strategies to help improve the overall adoption rate (i.e. what features lead to faster adoption). Every year, 3.3 million canines visit animal shelters, out of a total population of 200 million. Only 2% to 17% of pets are returned to their owners. The remaining animals are euthanized due to a shortage of room in shelters (killed). The present procedures for adapting or finding a pet are inefficient and haphazard. People disseminated leaflets to the general public and spread the word to others in the vicinity of the pet's disappearance. When individuals print fliers, they waste paper and money since there is no good impact. People also share their tales on social media sites like Instagram and Facebook. There are also several fraudsters who attempt to fraudulently claim the incentive for returning the pet to its legitimate owner. We want to provide an analysis on how fast pets(cats and dogs) can be adopted based on various factors like their health conditions, age, colour, breed etc. [ABSTRACT FROM AUTHOR]

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]

This paper examines new forms of study-abroad expertise on social media and their role in mediating Indian student mobility to Germany. Firstly, it explores how mutual-support Facebook and WhatsApp groups—used by prospective international students in India to support each other through the process of applying to German universities—have contributed to the emergence of new forms of education consultancy, offered by Indian students or graduates of German universities, whom I call 'Student Guides'. In addition, it shows how some Indians studying in Germany have started 'Study in Germany' YouTube channels, aimed at aspirant student migrants, and have become important 'study-abroad influencers'. The paper analyses how these new forms of study-abroad expertise offer prospective international students social and cultural capital important for successful student migration, apart from shaping their imaginative geographies of Germany, and embedding them in cultures of mobility. Furthermore, the paper highlights how these new forms of study-abroad expertise intersect with, and critique, a more 'traditional' study-abroad expert: the professional education consultant. The paper draws on a digital ethnography of 'Study in Germany' Facebook and WhatsApp groups and YouTube channels, as well as interviews with the YouTubers, Student Guides, and Indian students in Germany. [ABSTRACT FROM AUTHOR]

The Internet era is an era of information explosion. By 2022, the global Internet users have reached more than 4 billion, and the social media users have exceeded 3 billion. People face a lot of news content every day, and it is almost impossible to get interesting information by browsing all the news content. Under this background, personalized news recommendation technology has been widely used, but it still needs to be further optimized and improved. In order to better push the news content of interest to different readers, users' satisfaction with major news websites should be further improved. This study proposes a new recommendation algorithm based on deep learning and reinforcement learning. Firstly, the RL algorithm is introduced based on deep learning. Deep learning is excellent in processing large-scale data and complex pattern recognition, but it often faces the challenge of low sample efficiency when it comes to complex decision-making and sequential tasks. While reinforcement learning (RL) emphasizes learning optimization strategies through continuous trial and error through interactive learning with the environment. Compared with deep learning, RL is more suitable for scenes that need long-term decision-making and trial-and-error learning. By feeding back the reward signal of the action, the system can better adapt to the unknown environment and complex tasks, which makes up for the relative shortcomings of deep learning in these aspects. A scenario is applied to an action to solve the sequential decision problem in the news dissemination process. In order to enable the news recommendation system to consider the dynamic changes in users' interest in news content, the Deep Deterministic Policy Gradient algorithm is applied to the news recommendation scenario. Opposing learning complements and combines Deep Q-network with the strategic network. On the basis of fully summarizing and thinking, this paper puts forward the mode of intelligent news dissemination and push. The push process of news communication information based on edge computing technology is proposed. Finally, based on Area Under Curve a Q-Leaning Area Under Curve for RL models is proposed. This indicator can measure the strengths and weaknesses of RL models efficiently and facilitates comparing models and evaluating offline experiments. The results show that the DDPG algorithm improves the click-through rate by 2.586% compared with the conventional recommendation algorithm. It shows that the algorithm designed in this paper has more obvious advantages in accurate recommendation by users. This paper effectively improves the efficiency of news dissemination by optimizing the push mode of intelligent news dissemination. In addition, the paper also deeply studies the innovative application of intelligent edge technology in news communication, which brings new ideas and practices to promote the development of news communication methods. Optimizing the push mode of intelligent news dissemination not only improves the user experience, but also provides strong support for the application of intelligent edge technology in this field, which has important practical application prospects. [ABSTRACT FROM AUTHOR]

A disaster is an unexpected event with negative consequences for individuals and societies. Typically it is interfering with a community's or society's ability to function. Disasters can be man-made events, accidental events, or a natural catastrophes. These events create emergencies that require rapid responses. Timely information about the emergencies has to be obtained so that the responses can aid in dealing with the emergencies. One source of timely information about disasters is provided by social media postings which often provide on-site information about a disaster. An ideally suited social media tool for disaster information is Twitter due to the sort message format. This format enables the rapid composition of short messages by entities close to a disaster describing the nature of the disaster. The contents of the messages can then be used to guide emergency responses. The aim of this paper is to review the research on the usage of Twitter for emergency management that has been published so far. There are three steps required when using messages for information about disasters. The first step is to collect the data contained in the messages. Then the data has to be preprocessed for unification of format, duplication etc. Finally relevant information has to be extracted. These steps are considered in this paper reviewing the use of Twitter for emergency management. Papers using Twitter published within the past 5 years have been included. [ABSTRACT FROM AUTHOR]

During times of war, displaced families carry various material items that later serve as means for preserving the memories of lost homes and maintaining a sense of identity. In divided Cyprus, the use of material objects by people displaced before and during the 1974 Turkish invasion has been influenced by the opening of checkpoints between the two sides in 2003. This paper explores how different generations in my family reacted to and interpreted the rediscovery of a lost material item—a handmade mirror piece—during the return journey. It discusses how my mother located the item, photographed it, and placed its photograph in the family's photographic archive. During the research project upon which this paper follows from, both items re-emerged through my mother's storytelling about her experience of return, transforming the project into a form of intergenerational transmission. The paper portrays how the storytelling about the mirror piece and its photograph was interpreted differently by me and my mother, influenced by the different politics of memory. The paper also showcases the resourcefulness of refugee families in maintaining the memory of their lost homes, which simultaneously reveals their views and hopes regarding the political future of the island. [ABSTRACT FROM AUTHOR]

The paper investigated the usage of mobile technology in marketing academic libraries in developing countries. The main purpose, apart from awareness, is to look at how researchers are studying mobile technology in marketing academic libraries, what are the current issues investigated and what has to be the direction of the topic globally. The paper employed 23 research papers for systematic review. The findings reveal that academic libraries are aware of mobile technology and use it at various levels for academic library promotion, visibility, and teaching and learning. Factors influencing the use of mobile technology in marketing academic libraries were identified and further noted that little has been studied regarding mobile technology in marketing academic libraries and its performance in developing countries. [ABSTRACT FROM AUTHOR]

To promote an academic library makerspace, the University of Mississippi Libraries hosted a "3D selfie" booth which used body scanning technology. This booth, advertised on campus and set up outside the library during the first weeks of class, was designed to attract attention and perform outreach through the use of body scans to be printed in the makerspace at a later date. Although the hoped-for printing of "selfies" did not materialize, the project resulted in data about interested patrons and ideas for similar projects going forward. This paper serves as a case study for other academic library makerspaces interested in similar outreach. [ABSTRACT FROM AUTHOR]

Natural language processing (NLP) plays a pivotal role in modern life by enabling computers to comprehend, analyze, and respond to human language meaningfully, thereby offering exciting new opportunities. As social media platforms experience a surge in global usage, the imperative to capture and better understand the messages disseminated within these networks becomes increasingly crucial. Moreover, the occurrence of adverse events, such as the emergence of a pandemic or conflicts in various parts of the world, heightens social media users' inclinations towards these platforms. In this context, this paper aims to explore the scientific literature dedicated to the utilization of NLP in social media research, with the goal of highlighting trends, keywords, and collaborative networks within the authorship that contribute to the proliferation of papers in this field. To achieve this objective, we extracted and analyzed 1852 papers from the ISI Web of Science database. An initial observation reveals a remarkable annual growth rate of 62.18%, underscoring the heightened interest of the academic community in this domain. This paper includes an n-gram analysis and a review of the most cited papers in the extracted database, offering a comprehensive bibliometric analysis. The insights gained from these efforts provide essential perspectives and contribute to identifying pertinent issues in social media analysis addressed through the application of NLP. [ABSTRACT FROM AUTHOR]

Although small and medium-sized enterprises (SMEs) are highly important for producing highvalue-added innovative and intermediary goods and play a crucial role in being suppliers of large enterprises, their financial restraints cause them to encounter problems regarding their internationalization process and financial performance. As a dynamic capability of Resourcebased View theory (RBV), the usage of marketing communication tools (MCTs) by SMEs, such as social media (SM), websites, telemarketing, direct mail, SMS campaigns, and Google Adwords, increases the competitiveness of SMEs and might enable them to reduce their financial performance and export concerns. However, the usage of these tools can differ depending on the firm's country of origin since countries have various socio-economic and cultural conditions that affect the competitiveness of firms and their marketing communication approaches to their export and financial performance. In this regard, this paper aims to find international differences in the impact of the usage of MCTs on export and financial performance. This paper examines 1221 SMEs from Czechia, Slovakia, and Hungary for this aim. The researchers created an online questionnaire to collect data from randomly selected respondents in the research sample. The researchers also ran Binary Logistic Regression analyses for analysis purposes. Although this paper confirms international differences in the impact of MCTs on the export of SMEs, the effect of SM usage on the financial performance of SMEs does not differ depending on the SMEs' country of origin. [ABSTRACT FROM AUTHOR]

The global rise of data volume from Zettabyte to Yottabyte raises concerns about effectively managing its use and storage. One concern is dark data, which needs to be tapped and used for critical decision-making and insights generation. This phenomenon is a reality in the data economy that requires a solution through productization. The term data economy refers to the expanding economic activity centered around data collection, analysis, and sale. With the digitization of society and the exponential growth of the internet and social media, individuals, organizations, and society are continuously generating and collecting massive amounts of data. This data can be invaluable for companies and institutions to gain insights into customer behavior, market trends, and the performance of their businesses. Despite the scholarly literature that provides some insights, there remains a need for further exploration and clarification of the intersection between the data economy and productization. This study addresses these unresolved issues by thoroughly analyzing academic and industrial literature. The study contributes to the existing body of knowledge by extending the TTF (Task-Technology Fit) theory to conceptualize the relationship between data economy and productization. The study also proposes a comprehensive framework for countries, organizations, and institutions and offers theoretical and managerial implications. It is important to note that this study has its limitations, and future research should address these limitations and further advance the understanding in this research domain. [ABSTRACT FROM AUTHOR]

Happiness is a tool that can contribute towards the betterment of mental illness and is often linked to the well-being of a place. As per the study, nearly five per cent of Indians have a mental illness, with one in every five requiring psychiatric counselling. The tangible built environment and intangible components significantly affect human happiness. The question arises is whether and to what extent do these components of the urban environment affect happiness. The present paper examines the association between the urban built environment and the happiness of a city, taking Bhopal (a fast-growing metropolis in India with a population of 1.79 million according to the 2011 census) as a case study. Based on available data, seven parameters have been selected under urban built environment, the tangible–the 'body' characteristics (public transport, open space, air quality, vegetation index, air pollution, slum, safety and security, and population density), and happiness, the intangible 'soul', which has been studied via sentiment analysis using Twitter data. The focus of this paper, thus, shifts the focus from the relationship between happiness and socioeconomic factors to a broader understanding of the association between seven 'body' variables and their relationship with the intangible 'soul'. It attempts to establish these relation characteristics using regression analysis. The findings suggest that security fears, distance from open spaces, and distance from slums are among the major determinants of happiness. A sense of positivity is also evident among the people living in high-density areas. The present research can help policymakers to understand citizens' sentiments and integrate these with urban development initiatives for the built environment, building a happy city. [ABSTRACT FROM AUTHOR]

This paper empirically investigates the impact of digital finance on the breakthrough innovation of enterprises with a sample of A-share listed companies in Shanghai and Shenzhen from 2011 to 2022. It is found that digital finance can promote corporate breakthrough innovation, and presents certain structural heterogeneity characteristics. The mechanism test shows that digital finance has the dual attributes of a financing platform and a social platform, which can promote breakthrough innovation by alleviating corporate financing constraints and expanding corporate social networks. Heterogeneity analysis reveals that the role of digital finance in promoting breakthrough innovation is characterized by regional heterogeneity, with digital finance playing a greater role in promoting breakthrough innovation in provinces with a low level of development of the banking sector, provinces with a high level of development of the capital market sector, and the central region. In addition, the degree of firms' external financing dependence and the degree of product market competition can strengthen the positive effect of digital finance on firms' breakthrough innovation. This paper enriches the related research on the impact of digital finance on enterprise innovation, and provides theoretical basis and policy insights on how digital finance can better assist the innovation-driven development strategy. [ABSTRACT FROM AUTHOR]

Data journalism (DJ) stands out as a distinguished contemporary form of news storytelling in which data are simplified and communicated via visuals. It can disseminate knowledge on complex phenomena and contribute to the advancement of journalism. Understanding the motives of readers' DJ consumption is vital to the understanding of three focal elements in the journalism equation: society, journalists, and news-media institutions. This paper fills a gap in the knowledge about studies in DJ – audience interrelationship, contributing to the understanding of the twinning relationship between domesticating everchanging communication technologies and DJ consumption. The theoretical framework draws on news consumption and domestication theory in examining the way media and communication students in Palestinian universities (hereinafter MC students) interact with DJ-based stories communicated via social media platforms. Surveying MC students (N = 99) at four prominent Palestinian universities in the West Bank, the paper explores the motivations behind MC students' DJ consumption, and how recent media technologies might induce its levels of consumption. Targeting Facebook, results show that MC students' engagement with DJ stories is primarily induced by their interest in the topics presented, with social and human stories as primary topics. Other inducers included visuals, proximity to topics discussed, and familiarity with the publishing source. [ABSTRACT FROM AUTHOR]

As social media and web-based forums have grown in popularity, the fast-spreading trend of fake news has become a major threat to the government and other agencies. With the rise of social media and internet platforms, misinformation may quickly spread over borders and language boundaries. Detecting and neutralizing fake news in several languages can help to protect the integrity of global elections, political discourse, and public opinion. The lack of a robust multilingual database for training the classification models makes detecting fake news a difficult task. This paper looks at it by describing several forms of fake news (like serious fabrications, large-scale hoaxes, stance news, deceptive news, satire news, clickbait, misinformation, rumour). This review paper includes different steps, features, tools for mitigating the scourge of information pollution, and different available datasets. This study presented a taxonomy for detecting fake news, which gives a comprehensive overview and analysis of existing DL-based algorithms focusing on diverse techniques. This paper also includes the monolingual and multilingual fake news detection models. Finally, this paper ends with the technical challenges. [ABSTRACT FROM AUTHOR]

This paper examines Russia's propaganda discourse on Twitter during the 2022 invasion of Ukraine. The study employs network analysis, natural language processing (NLP) techniques, and qualitative analysis to identify key communities and narratives associated with the prevalent and damaging narrative of "fascism/Nazism" in discussions related to the invasion. The paper implements a methodological pipeline to identify the main topics, and influential actors, as well as to examine the most impactful messages in spreading this disinformation narrative. Overall, this research contributes to the understanding of propaganda dissemination on social media platforms and provides insights into the narratives and communities involved in spreading disinformation during the invasion. [ABSTRACT FROM AUTHOR]

Human trafficking thrives in the shadows, and the rise of social media has provided traffickers with a powerful and unregulated tool. This paper delves into how these criminals exploit online platforms to target and manipulate vulnerable populations. A thematic analysis of existing research explores the tactics used by traffickers on social media, revealing how algorithms can be manipulated to facilitate exploitation. Furthermore, the paper examines the limitations of current regulations in tackling this online threat. The research underscores the urgent need for collaboration between governments and researchers to combat algorithmic exploitation. By harnessing data analysis and machine learning, proactive strategies can be developed to disrupt trafficking networks and protect those most at risk. [ABSTRACT FROM AUTHOR]

Recent research has documented the relationship between the promotion of 'ideal', 'fit' bodies in social media, body image and associated body concerns and conditions. This article expands this scholarship, focusing specifically on gender, body disaffection and social media. Thus far, body disaffection has mostly been understood through a psychological framing, as a pathology residing within an individual and strongly associated with poor body image because of internalizing media images. In this paper, drawing on feminist new materialism, I offer a framing of body disaffection as a relational phenomenon. The paper draws on a mixed method study in England, with over 1000 young people examining their experiences with a range of digital health technologies. I focus specifically on their engagement with social media, to explore the relationship between ideal images and body concerns. Far from being a simple process of internalization of negative perceptions or image one has of their body, disaffection is formed through the body via a complex process of entanglement with social media and other elements. I outline how disaffection materialises as part of an assemblage of elements, including discourses, humans, bodies, digital objects and platforms. The paper reveals how entanglements with social media can generate powerful affects such as shame, pleasure and belonging along gendered lines, which may have significant implications for young people's relationships with their bodies. I analyse how social media events focused on the 'transformation' of bodies generate powerful affects, which open or limit capacities for what 'boys' or 'girls' bodies might become in deeply gendered and sometimes harmful ways. [ABSTRACT FROM AUTHOR]

Studies on social media (SM) and disaster management (DM) have mainly focused on the adaptation, application, and use of SM in each stage of DM. With the widespread availability and use of SM, the effective utilisation of SM in DM is impeded by various challenges but not yet comprehensively researched. Therefore, this paper aims to identify the challenges as well as the strategies to overcome the challenges and categorises them into a classified model. This study adopts a systematic literature review to present and analyse the challenges and strategies for using SM in DM. Utilising prominent databases, 72 publications were carefully selected and analysed qualitatively using content analysis. The findings revealed four key challenges to its users: the spread of misinformation; insufficient human resources to manage SM use; the lack of trust in information and authorities; and the poor information quality and content of messages. This study identified several strategies to overcome challenges, which can be classified into three sectors of the SM community: individuals, organisations, and SM companies. These findings contribute to enhancing the effective utilisation of SM in DM by community practitioners. Furthermore, this study provides insight into the current status of knowledge and identifies the research gaps around SM in DM for future research. [ABSTRACT FROM AUTHOR]

Copyright of Arts for Linguistic & Literary Studies is the property of Thamar University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Liver disease is an increasing cause of morbidity and mortality in the United Kingdom and can be challenging to live with in the advanced stages. There has been little research exploring the healthcare experiences of UK individuals with decompensated disease when the liver cannot carry out its functions properly. A PhD research project was developed with people who have liver disease to explore care experiences in decompensated advanced liver disease. Public involvement (PI) is an essential aspect of meaningful health research, and this paper reports on the progression of our PI approach in this ongoing study. Objective: To embed PI throughout the research project to ensure that the study is meaningful to individuals with liver disease and the people who support them. Methods: The research adopts a Constructivist Grounded Theory methodology to develop a theory of care experience. Various PI approaches were considered in developing the PI strategy for this qualitative study. Initially, Embedded consultation was the preferred model, which has evolved to include aspects of collaboration and coproduction. A PI group was set up to oversee the project through the national public engagement website VOICE, and reflections on PI from three members of the group are included in this paper to illuminate the PI process. Results: Six individuals with liver disease and three carers from across the United Kingdom are part of an ongoing PI group. Their role includes commenting on the findings of the systematic literature review for this project and contributing to decisions about recruitment, data collection and data analysis. Additionally, they had a direct impact on changing the focus of the research. The PI group will continue involvement until the completion of the project. Conclusion: Successfully embedding PI into doctoral research, as demonstrated in this project, requires commitment, planning and dedication to reciprocal working for the benefit of PI contributors as well as the research. This approach could be adopted by other postgraduate researchers. Patient or Public Contribution: This project is overseen by the PI group, whose contribution is described throughout, including reflections from three PI group members. [ABSTRACT FROM AUTHOR]

This paper investigates the importance of digital presence for the emerging visual artists' careers. The study first examines how artists manage their digital presence and subsequently analyzes the impact of this presence on their careers by applying a model that consists of four objectives (branding, engagement, networking, and conversion). A qualitative method was employed, and interviews were conducted with illustrators at an early or emerging career stage. The findings demonstrate that an effective presence on digital platforms requires not only producing and showing artistic work but also managing an artistic brand, engaging with the audience, and making use of networking opportunities. It is also established that artists need to complement their digital presence with interactions in the physical world to increase the chances for advancing their careers. This paper follows the literature that studies the visual artist as brand manager and adds to the body of knowledge on how artists build successful careers. [ABSTRACT FROM AUTHOR]

Purpose: Today social media capabilities have enabled businesses and enterprises to more collaboration, engagement and co-creation with their customers. So the current paper expands on this notion. The aim of this study is a bibliometric analysis to examine the trends of publications in the field of co-creation based on social media. Design/methodology/approach: To data collection of quantitative analysis, Scopus database was selected and the collected data were analyzed using Bibliometrix-package. The Web of Science also was selected to retrieve highly cited and hot papers for qualitative part of analysis besides top 10 Scopus highest citation per year documents on June 6, 2020. Findings: The results indicate insights into research trends pertaining to social media-based co-creation, as follows: starting jump to the publications occurred in this researches from the year 2008 and the growth trend is progressing in recent years; the stressful points are "co-design," "co-creation" and "value co-creation" and concepts such as "open innovation," "co-innovation" and "co-new product design" are new topics that guide future direction; the USA and UK are leaders in number of multiple and single publications; the most active and top journals that are better suited to achieving a high citation rate per year for a related paper were introduced. In addition, the top documents and highly cited papers were qualitatively analyzed on the basis of times cited per year. Research limitations/implications: The current study is not free of limitations. The database was limited to only Scopus. So the patterns and trends generated in the study may not be generalized to all social media-based co-creation research. Of course, the authors did not intend to ignore other contributions. It is mainly because of the number of documents retrieved from Scopus database and the coverage, Scopus was selected. Moreover, other types of research techniques such as correspondence analysis can be incorporated to generate additional meaningful insight. Originality/value: In this time of social media and user-generated content portals, co-creation through social media has become quite popular. So the main innovation of this study is providing a visual presentation of the trends and patterns in the evaluation of social media-based co-creation from the first document about the research area published till 2020. The results of this paper can shed light on the factors that strengthen the contribution of studies in a research area. Generally, the bibliometric items the authors analyzed essentially show the entire field picture and guide researchers toward understanding future trends to produce impactful studies. [ABSTRACT FROM AUTHOR]

Copyright of Social & Cultural Geography is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Our goal is to reveal the social media knowledge cascade (SMKC) of the diffusion of scientific papers. PLoS Biology, one of the prestigious and influential open-access journals under PLoS, has received much attention from researchers. Using papers published in PLoS Biology as sample, we use the citation indicators and social media indicators of scientific papers to establish an SMKC network model that measures the relationship between the citation diffusion trajectory of scientific papers and their social media diffusion trajectory through knowledge bursts. Based on the number and type of knowledge bursts, we have identified three types of SMKCs: Social media and SMKC (S–S knowledge cascade), Citation and citation knowledge cascade (C–C knowledge cascade), and Social media and citation knowledge cascade (S–C knowledge cascade). Specifically, we focus on studying the S–C knowledge cascade type in SMKC. We explored the relationship between social media diffusion trajectory knowledge bursts and citation diffusion trajectory knowledge bursts, the prompting effect of S–C knowledge cascades on paper's citation and the pivot node characteristics of the paper S–C knowledge cascade. Our research found that, in the S–C knowledge cascade papers the knowledge burst of the paper on the social media diffusion trajectory is the decisive factor for the knowledge burst in the citation diffusion trajectory. Only part of the knowledge burst in the citation diffusion trajectory will immediately cause the social media diffusion trajectory knowledge bursts. The stronger a paper's SMKC, the easier it is to become a highly cited paper. The type of pivot node is more inclined to the burst of knowledge on the trajectory of social media diffusion. We analyzed the trajectory of knowledge dissemination in the life cycle of scientific papers from a dynamic perspective. We revealed the general features of SMKCs in the process of scientific paper diffusion. [ABSTRACT FROM AUTHOR]

This editorial discusses graphical abstracts (GAs) as a relatively new tool used to concisely summarize a scientific paper and promote it on social media to boost the visibility of research and the number of citations. This article attempts to define GA as clearly as possible and to explain the role of GAs as scientific communication tools in medical journals. A clear definition of a GA is lacking. Several definitions from the literature are presented, which illustrates that the terms "visual abstract" and "graphical abstract" can be used interchangeably. The role of GAs can be described in 3 aspects: 1) time required for communication (GAs are meant to convey the key contents of a scientific paper in a time much shorter than required for reading the full text), 2) means of communication (social media), and 3) mechanism of communication (research results in many fields of medicine can be better conveyed through visual or at least more visual means rather than plain text). A review of the existing literature concerning the effectiveness of GAs presents studies regarding the use of GAs in promoting scientific papers on Twitter - visual abstracts attracted significantly more engagement than plain English ones, especially from medical professionals. Visual abstract tweets were associated with a significantly higher number of impressions, retweets, and link clicks compared to text abstract tweets. Journals that have introduced GAs demonstrated significantly higher impact factor (IF) increases for the past 3 years than those of journals without GAs. The longer GAs have been utilized in a journal, the higher the IF the journal had. The experience of the editors of Advances in Clinical and Experimental Medicine (ACEM) concerning GAs are discussed, divided by types of papers published in this journal (original papers, meta-analyses, reviews, research-in-progress articles, and editorials), illustrated with examples of well-prepared GAs, and supplemented with a brief description of the feedback from authors and readers amassed following the introduction of GAs in ACEM. Finally, the authors offer the readership of ACEM 8 practical tips on how to prepare a useful GA, and list 8 common mistakes and misconceptions regarding GAs - both in text form and summarized in tables. The conclusion of the paper is that there is currently no universal standard for GAs, which can lead to inconsistencies in their formats and content; therefore, more detailed guidelines to standardize GAs for scientific research are warranted. [ABSTRACT FROM AUTHOR]

The attention economy is often used to describe the market conditions of influencers on social media platforms. It suggests new economic logics and marketing strategies governed through accumulating attention. Critically examining this concept, this paper asks: how do influencers understand and manage attention on Instagram? Through 41 in-depth interviews with fitness influencers, this paper found that attention is not always desirable, nor the basis of new forms of economic logics. Further, as participants moved from working part-time to full-time in the online fitness industry, attention-mitigating strategies often replaced attention-seeking ones. This paper critically extends the concept of the attention economy and refocuses influencer marketing efforts on the contextual, rather than universal, use of attention. [ABSTRACT FROM AUTHOR]

In this paper, we aim to identify the stance of the Persian language in social networks. The dataset is used to detect the stance with Farsi content. In a new method, posts related to one or more target entities are expressed, and a Hybrid LSTM-CNN architecture is used. Unlike previous research, a rotational learning rate is employed, and a new method for processing data before entering the network is presented to improve results, which can stance Persian in the network. With social recognition, in addition to addressing problems related to lack of data, the Bidirectional Encoder Representations from Transformer (BERT) model was investigated to detect Persian stance. As a result, the tagged data from the Telegram social network in the field of business sports was analyzed for a limited time frame and achieved higher accuracy than competitors. More precisely, the proposed model improved results by 11.3% in terms of accuracy at the end of the training course. As a result, the proposed model has been able to generalize the learned pattern from the training data to the validation data in terms of quality and time by 12% compared to existing models. [ABSTRACT FROM AUTHOR]

Nowadays, an increasing number of crises worldwide, triggered by climate extremes, natural and human-made hazards, the coronavirus pandemic, and more, pose a high pressure on crisis, emergency, and disaster management. Spatial data and Volunteered Geographic Information (VGI) are key issues in the successful and immediate response to crises. This paper aims to explore the use of VGI in crisis management, including emergency and disaster management, based on a scoping review of existing literature in English for five years (2016–2020). Specifically, the research intends to answer Scoping Review Questions (SRQ) regarding the use of VGI in crisis, emergency, and disaster management, and the verified cases' spatial distribution, the VGI sources utilized (e.g. OpenStreetMap – OSM, Crowdsourcing, Twitter), the types of hazards (e.g. natural and human-made hazards, pandemic), the specific tasks in crisis, emergency or disaster management and VGI use in the management of actual crisis events, e.g. COVID-19 pandemic, Hurricane Katrina, etc. Eligible papers on VGI use in crisis, emergency, and disaster management are geolocated based on first-author affiliation, and as a result, a spatial bibliography is provided. Thus, the term Spatial Scoping Review is introduced. Scoping Review Questions are answered, and the results are analyzed and discussed. Finally, implementing the "VGICED Atlas", a web atlas, permits the publication of the research results to a broad audience and the visualization of the analysis with several interactive maps. [ABSTRACT FROM AUTHOR]

Memes are not new concepts, but they have garnered popularity recently. They are a prevalent form of communication on various social media platforms. However, due to a lack of concrete literature (Al Rashdi, 2020), there is still some initial scepticism surrounding them. This paper uses a systematic literature review to create a pool of research papers to be examined to chart the conceptual development of memes, determine how they are used in different fields, and present a vision of memes in the near future. It identifies eleven areas which were studied in parallel to memes, suggesting possible meme applications and development. It adopts the PRISMA 2020 framework to ensure systematic screening and reporting of relevant papers from various databases. [ABSTRACT FROM AUTHOR]

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]

Background: Novel survey methods are needed to tackle declining response rates. The 2020 National Maternity Survey included a randomised controlled trial (RCT) and social media survey to compare different combinations of sampling and data collection methods with respect to: response rate, respondent representativeness, prevalence estimates of maternity indicators and cost. Methods: A two-armed parallel RCT and concurrent social media survey were conducted. Women in the RCT were sampled from ONS birth registrations and randomised to either a paper or push-to-web survey. Women in the social media survey self-selected through online adverts. The primary outcome was response rate in the paper and push-to-web surveys. In all surveys, respondent representativeness was assessed by comparing distributions of sociodemographic characteristics in respondents with those of the target population. External validity of prevalence estimates of maternity indicators was assessed by comparing weighted survey estimates with estimates from national routine data. Cost was also compared across surveys. Results: The response rate was higher in the paper survey (n = 2,446) compared to the push-to-web survey (n = 2,165)(30.6% versus 27.1%, difference = 3.5%, 95%CI = 2.1–4.9, p < 0.0001). Compared to the target population, respondents in all surveys were less likely to be aged < 25 years, of Black or Minority ethnicity, born outside the UK, living in disadvantaged areas, living without a partner and primiparous. Women in the social media survey (n = 1,316) were less representative of the target population compared to women in the paper and push-to-web surveys. For some maternity indicators, weighted survey estimates were close to estimates from routine data, for other indicators there were discrepancies; no survey demonstrated consistently higher external validity than the other two surveys. Compared to the paper survey, the cost saving per respondent was £5.45 for the push-to-web survey and £22.42 for the social media survey. Conclusions: Push-to-web surveys may cost less than paper surveys but do not necessarily result in higher response rates. Social media surveys cost significantly less than paper and push-to-web surveys, but sample size may be limited by eligibility criteria and recruitment window and respondents may be less representative of the target population. However, reduced representativeness does not necessarily introduce more bias in weighted survey estimates. [ABSTRACT FROM AUTHOR]

There has been growing interest in research on news-related user comments. Here we conduct the first systematic review of this literature--quantitatively and qualitatively (248 studies)--that covers the entire communication process (content analyses, surveys, experiments). Results indicate a focus on online news articles (vs videos) and little consideration for major social media platforms (Instagram, TikTok). Research often assesses incivility in comments but offers conflicting conclusions on the actual level of incivility in comment threads-- and seldom considers how to effectively combat any incivility. We propose four priorities for future work: more comparative and longitudinal approaches; exploring social media and video content; examining platform design, content moderation and artificial intelligence; and implementing measures to reduce incivility and protect the integrity of journalism. [ABSTRACT FROM AUTHOR]

Aim: This study aimed to investigate the relationship among secondary traumatic stress, compassion fatigue, and meaning in life in nurses during the COVID‐19 pandemic. Background: Changes in working conditions during the pandemic also changed the needs of nurses. In addition to physical health, the COVID‐19 pandemic led to many psychosocial health problems such as sleep disturbances, depression, and traumatic stress. This makes nurses vulnerable to psychological side effects of the pandemic. Design: A cross‐sectional study was conducted. Methods: This study was conducted with 166 nurses. Data were collected online at May–June 2021. A Personal Information Form, the Secondary Traumatic Stress Scale, Compassion Fatigue Scale, and Meaning in Life Scale were used. The STROBE reporting checklist was followed. Results: As secondary traumatic stress levels increase, compassion fatigue increases, meaning in life decreases, and the search for meaning in life increases. Conclusion: Predictors of secondary traumatic stress were shown to be compassion fatigue, change in sleep habits, meaning in life, marital status, and having a chronic illness. This suggested that working during the pandemic posed significant risks in terms of manifesting negative consequences on mental health in the long term. Summary statement: What is already known about this topic? Nurses often face stressful situations such as personal life challenges, the nature of the job that requires focus, and patient care.Nurses are exposed to the detrimental psychological effects of the pandemic because they are among the first medical professionals to meet COVID‐19 infected individuals.The pandemic has created many positive and negative effects on nurses. What this paper adds? This study reports that the mental health of nurses should be protected and strengthened by identifying the psychosocial health problems experienced by nurses due to the COVID‐19 pandemic.Findings inform on choice of effective interventions to protect the mental health of nurses. The implications of this paper: Failure to manage global crisis such as pandemics will cause traumatic stress, compassion fatigue, decreased meaning in life, and burnout in nurses.In order to protect nurses from the long‐term negative effects of pandemics, necessary programmes should be developed to strengthen their mental, physical, and spiritual health, to support their personal life habits and to improve their working conditions.Protective interventions, such as assessment and monitoring of nurses' mental health, can support strengthened crisis management practices. Preventive interventions and programmes based on individual needs should be implemented in order to improve nurses' ability to cope with difficult emotions. [ABSTRACT FROM AUTHOR]

Aim: This study was conducted to evaluate the effect of the Roy adaptation model‐based strengthening program (RAMBSP) applied to nursing students on social media addiction, healthy lifestyle behaviours and self‐esteem. Methods: One hundred five nursing students studying at a nursing faculty of a university were included in this prospective, two‐armed (1:1), randomized controlled study. The study group (n:54) had 12 weeks of RAMBSP online group sessions. No intervention was made to the control group (n:51). The social media addiction level, which was the primary outcome of the study, was evaluated with the Bergen Social Media Addiction Scale (BSMAS) and healthy lifestyle behaviours and self‐esteem, which were secondary outcomes, were evaluated with the Healthy Lifestyle Behaviours Scale II (HLBS‐II) and the Rosenberg Self‐Esteem Inventory (REI). Students filled out BSMAS, HLBS‐II, and REI online via Google Forms before and after RAMBSP. Findings: At the end of the programme, there was no significant difference between the groups in terms of BSMAS scores of the students in the study group (p > 0.05); however, the difference was significant in terms of HLBS‐II and REI scores (p < 0.05). It was determined that the empowerment programme increased students' awareness of social media addiction. Conclusion: It is recommended to implement programmes that will increase students' awareness of social media addiction and its effects and to conduct new research that will cover large and different sample groups. Trial registration: It was registered at ClinicalTrials.gov in March 2021 (NCT04820517). Summary statement: What is already known about this topic? With the development of technology, social media addiction is widely seen in nursing students, who are a fragile group.Biopsychosocial approaches should be presented together in practices aimed at reducing or controlling the use of social media.It is not known whether an empowerment programme based on the nursing model (Roy adaptation model) to reduce social media addiction in nursing students is effective. What this paper adds? This programme constitutes an example of how to combine Roy adaptation model, one of the nursing models related to reducing social media addiction and providing controlled social media use, with the empowerment programme.The strengthening programme based on Roy adaptation model helped student nurses to acquire and maintain healthy lifestyle behaviours by increasing their awareness of social media addiction and improving their self‐esteem. The implications of this paper Roy adaptation model‐based psychoeducation should be conducted to enable nursing students to gain awareness of social media addiction and its consequences.Roy adaptation model‐based activities should be planned and implemented to intervene in students with social media addiction and to lead them to healthy social media use.Course contents should be added to the nursing curriculum to encourage the use of social media in a way that is effective, safe and contributes to personal development. [ABSTRACT FROM AUTHOR]