Search

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]

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]

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]

As UK cities and towns become increasingly ethnically and culturally diverse, researchers have tuned into how people inhabit multiculturalism. Ethnographic approaches have focused on the kind of togetherness that people generate as they go about their everyday lives, observing the affective textures of interactions and happenings of the here and now in granular detail. Missing from these accounts is what crowdsourced data might add to understandings of how multicultural places are experienced. What is vital about this kind of data is that it is 'big', involving a diversity of voices similarly intent on messaging their experiences, presenting opportunities to scale up the affect of encounters and to quantify what is difficult to qualify. This paper brings Digital Geographies into conversation with research on everyday multiculturalism to examine qualitatively and quantitatively how social media use folds into and expresses various practices of sociality and connection. Our paper involves Twitter, Nando's and the city of Leicester in the UK to challenge and advance ways of understanding everyday multiculturalism in an era of global migration and ethnically complex populations. [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]

The article focuses on the importance of quantifying the impact and quality of research articles, discussing traditional metrics such as the Journal Impact Factor (JIF), CiteScore, and the H-index. It also introduces alternative metrics (Altmetrics) like the Altmetric Attention Score (AAS), emphasizing their role in measuring the reach and success of research articles through social media engagement.

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. [ABSTRACT FROM AUTHOR]

In recent years, the establishment of a substantial amount of academic groups on scientific social network has brought new opportunities for the collaboration among researchers. In this situation, conducting paper recommendation to these academic groups is of terrific necessity in that it can further facilitate group activities. However, when producing group recommendation, existing methods fail to make full use of the abundant group information, from which a great deal of valuable information can be inferred to facilitate the recommendation performance. In addition, those methods tend to assign an equal weight to each group member when aggregating their recommendations, which is unreasonable in practice. Although some improvements have been made to remedy this problem by assigning different weights to group members, they fail to take into account the reliabilities of group members. Therefore, a group-oriented paper recommendation method based on probabilistic matrix factorization and evidential reasoning (GPMF_ER) is proposed in this article to tackle these problems. More specifically, the group and paper content information are integrated into the probabilistic matrix factorization model to enhance the accuracy of individual recommendation. Afterward, evidential reasoning rule is introduced in the aggregation step to consider both the weights and reliabilities of group members. Extensive experiments have been conducted on the real world CiteULike dataset and the results demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

The Curfews period of December 2015 to February 2016 in south-eastern Turkey was a time of collective violence in multiple forms, among which the Cizre Basement Massacres are the most known. The period of the general elections in June 2015, until the later and most recent attempt to carry out a military coup in July 2016, covers multiple curfews and military operations in the south-eastern regions of Turkey, and some social media material shared from the region caught international attention and provoked artistic as well as political responses. Zehra Doğan, a Kurdish journalist and artist, modified and re-shared some footage that was first posted in social media accounts of the special forces in Nusaybin and as a result was sentenced to three years in prison. She continued to produce artworks in prison, even though it was 'prohibited' for her to draw. She started to use her own body fluids, hair, newspaper, toilet paper, and any other available daily material in the prison to produce works of art. She also produced a series of work with her menstrual blood. For this article, I conducted two thematic one-to-one discussions with Zehra Doğan and studied her series of works produced with menstrual blood within the scope of mimesis and embodiment theories. Further sections of the article discuss: the function of these series of works for her acting out and working through processes of the collective political violence of which she became both a witness and a victim; methods of artistic transmission of political violence both for the artist and for the audience; and the possible ritualistic functions of using blood while producing work of arts in relation to collective political killings. [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]

As social issues like climate change become increasingly salient, digital traces left by scholarly documents can be used to assess their reach outside of academia. Our research examine who shared climate change research papers on Twitter by looking at the expressions used in profile descriptions. We categorized users in eight categories (academia, communication, political, professional, personal, organization, bots and publishers) associated to specific expressions. Results indicate how diverse publics may be represented in the communication of scholarly documents on Twitter. Supplementing our word detection analysis with qualitative assessments of the results, we highlight how the presence of unique or multiple categorizations in textual Twitter descriptions provides evidence of the publics of research in specific contexts. Our results show a more substantial communication by academics and organizations for papers published in 2016, whereas the general public comparatively participated more in 2015. Overall, there is significant participation of publics outside of academia in the communication of climate change research articles on Twitter, although the extent to which these publics participate varies between individual papers. This means that papers circulate in specific communities which need to be assessed to understand the reach of research on social media. Furthermore, the flexibility of our method provide means for research assessment that consider the contextuality and plurality of publics involved on Twitter. [ABSTRACT FROM AUTHOR]

This study aims to investigate the altmetric activity of papers published by the University of Zagreb School of Medicine in internationally visible journals and to identify differences in altmetric activity between the papers published in international and local journals and between those published in English and Croatian. We also investigated changes in altmetric activity over time and the characteristics of papers with the highest Twitter and Mendeley activity. The sample included 390 papers collected from the bibliographic database Scopus. Their altmetric and citation activities were measured at three time points: in July 2014, 2015, and 2016. The findings generally correspond to those observed in the large-scale studies of medical papers. Papers in renowned journals, and papers reporting clinical guidelines and multicentric studies had the most intense altmetric activity. In contrast, papers published in local, Croatian journals showed minimal altmetric activity, especially the papers published in Croatian. These results indicate that the local publishing community has not yet recognised social media as a tool for promoting research and that non-English language publications have minimal chances to receive attention, even in social media. The evaluative potential of altmetric indicators has to be further explored in a broader context. [ABSTRACT FROM AUTHOR]

I The Digital City i is not about the separation of digital and physical environments, nor is it about the digital permeation of physical environments, but rather about how digital media can be used to build and reinforce a physical sense of place. Halegoua puts digital media front and center as the latest communications technology to shape the urban landscape. I The Digital City i finds a home within research questions regarding smart city development, media and communications technology, and cultural geographies. [Extracted from the article]

Tweets are used as alternative metrics (altmetrics) to measure the impact or attention of research. However, Twitter data can only be used for research evaluation purposes, if biases do not influence tweet decisions on papers. The existence of biases can only be reasonably investigated using an experimental design with controlled (marginal) manipulations. In this comment, we propose to undertake an experimental approach to study the decision of scientists to ‘tweet’ on a paper. We describe the design of a study that might allow the experimental investigation of tweet decisions including randomized variations and theoretically derived mechanisms for explaining the empirical results. The described study design should be adaptable to other social media platforms (e.g., Facebook or ResearchGate). This comment is intended to be a plea for using an experimental design to investigate biases in tweet decisions. It is an advantage of tweets –in contrast to citations– that an experimental approach can be applied to investigate the decision of scientists to communicate on papers. [ABSTRACT FROM AUTHOR]

The article provides a preview of forthcoming papers accepted for publication in the Health Information and Libraries Journal. Topics include the effectiveness of citation searching in urgent and emergency care configuration studies, an alternative screening approach for Google Search in systematic reviews, and the analysis of health information seeking behavior among adolescents.

Objectives: With mounting evidence on health risks caused by e-cigarette consumption, it is of great necessity to explore not only smokers' but also nonsmokers' responses to e-cigarette marketing messages, such as online commercials. Employing both psychophysiological and self-report measures, this study examined nonsmoking young adults' cognitive, emotional, and attitudinal reactions to two major message features used in e-cigarette commercials: argument quantity and endorsement type. Method: The experiment used a 2 (endorsement type: celebrity and average citizen) × 2 (argument quantity: low and high) × 2 (message repetition) within-subjects design. Continuous heart rate (indicative of attention) and skin conductance activity (indicative of emotional arousal) were measured during ads viewing. Self-reported ad liking and vaping urge were assessed immediately after participants finished watching each commercial. Results: Results showed that compared to high argument quantity, low argument quantity elicited more attention, evoked higher emotional arousal, and generated stronger ad liking and vaping urge. Additionally, compared to average-citizen endorsement, the presence of celebrity endorsement elicited higher attention and lower emotional arousal in nonsmoking young adults. There was a significant interaction effect of endorsement type and argument quantity on ad liking. Conclusions: For nonsmoking young adults, low argument quantity commercials might have the greatest impact in initiating vaping behavior, which has implications for regulatory policies regarding e-cigarette. Celebrity endorsement was effective in catching nonsmokers' attention but had limited effects on emotional involvement and product adoption. The implications of the findings were finally discussed in more details in the manuscript. [ABSTRACT FROM AUTHOR]

Summary: Letter writing was used as a qualitative research strategy to access the narratives of individuals living in rural poverty. Undergraduate social work students in a freshman seminar course were paired with participants of a local agency to engage in a letter writing exchange about life experiences. Community members who volunteered to participate in the letter-writing exchange were identified via their participation in services offered by a local, community-based agency that is situated in a rural community. In the fall of 2018, a sample of 20 community members and 28 students participated in two rounds of letter exchange. Findings: The letter-writing exchange was an effective way to collect data. The content of the letters enhanced students' understanding of the daily experiences of individuals living in rural poverty. Data collected demonstrated that social isolation remains a central concern among poor, rural residents. Letter writing supported a sense of personal connection between students and community members; these social connections may have attenuated the pain of social isolation that many community members experience. Applications: Narrative inquiry and the use of letter writing as a research methodology allowed us access to greater understanding about the lived experience of rural poverty. People living in rural poverty experience a layered isolation that keeps them separate from resources and each other. Letter writing provided connection and rich data that enhanced our understanding of this community. [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]

In this paper I offer a philosophical analysis of the act of 'liking' a post on social media. First, I consider what it means to 'like' something. I argue that 'liking' is best understood as a phatic gesture; it signals uptake and anoints the poster's positive face. Next, I consider how best to theorise the power that comes with amassing many 'likes'. I suggest that 'like' tallies alongside posts institute and record a form of digital social capital. Finally, I consider whether 'likes' have ultimately improved online discourse. I argue that while the 'liking' function itself is relatively innocuous, public 'like' tallies introduce a corrosive motivation to online communication. By making the prospect of increased social capital perpetually salient to us, they encourage us to prioritise high levels of engagement over meaningful engagement. [ABSTRACT FROM AUTHOR]

Social media play a leading role in the daily lives of young people, especially such media where images are central. There has been a significant increase in the production and circulation of multimodal digital texts in current times. This article addresses the potential and complexity of digital production on Instagram from the perspective of learning and literacies. Based on ethnographic research in a public secondary school in Santiago, Chile, this paper presents the digital practices of eight young people. The materials analyzed come from interviews with young people, teachers, and mothers, in situ and digital ethnographic observations, and visual pieces produced by young people. The findings show different learning, the level of complexity of which is associated with the intensity of text production and the orientation and motivation. Vernacular literacies are related to practical knowledge, where English, hashtags, images, and humor are significant in digital production. The findings also show some cases of production that transcend personal use with an expressive function, guided by strategic orientations of communication, politics, and education. For the latter, the interaction of academic and vernacular literacies is crucial. Finally, the paper identifies certain gaps in digital literacy, where the school could contribute. [ABSTRACT FROM AUTHOR]

Over the last decade, research on derogatory communication has focused on ordinary speech contexts and the use of conventional pejoratives, like slurs. However, the use of social media has given rise to a new type of derogatory behavior that theorists have yet to address: internet trolling. Trolls make online utterances aiming to frustrate and offend other internet users. Their ultimate goal is amusement derived from observing a good faith interlocutor engage with their provocative posts. The basis for condemning a pejorative utterance is often taken to be the harm it causes or a defective attitude in the speaker. However, trolling complicates this picture, since trolling utterances are by definition insincere and should be recognizable as such to other trolls. Further, these utterances seem morally questionable even when they cause little to no harm (e.g. when a troll's utterance fails to secure uptake), and they often do not feature conventional pejoratives. I argue that while the potential for negative effects is relevant to ethical assessment, in general trolling is pro tanto wrong because the troll fails to accord others the proper respect that is their due (independently of whether they harm them). However, this characteristic wrong-making feature is sometimes overridden. [ABSTRACT FROM AUTHOR]

It is rare to see practising nurses from black, Asian or minority ethnic backgrounds publishing articles in professional journals. In our experience most nurses who publish scholarly papers are undertaking postgraduate studies or are in research roles, and are of white heritage. [ABSTRACT FROM AUTHOR]

The article announces the Teaching Science Most Valuable Paper Award for 2022, presented to Keith Skamp and Jodie Green for their three-part series on Earth System Science Education and the Australian Curriculum, focusing on concepts, understanding gaps, and pedagogies for Earth System education.

The original article can be found online at https://doi.org/10.1186/s12874-023-01833-8.Correction: BMC Med Res Methodol 23, 10 (2023)https://doi.org/10.1186/s12874-023-01833-8Following publication of the original article [[1]], the authors reported an error in the Fig. 4: the colours in the pie charts in Fig. 4 do not all correspond with the legend. See the Fig. 4 corrected.Graph: Fig. 4 Breakdown of total costs across the surveysThe original article [[1]] has been updated.By Siân Harrison; Fiona Alderdice and Maria A. QuigleyReported by Author; Author; Author [Extracted from the article]

A consensus has formed that the negative social externalities of online harms combined with huge market power of internet intermediaries justify regulation of online service providers.[1] Fake news, foreign interference in democracy and a business model based on exploitation of engagement via behavioural data have consolidated a political will for new policies, and the government's White Paper proposes a new social media regulator with the power to fine companies that fail to reduce exposure to harmful content. The White Paper proposes, rather than defining a size threshold triggering regulation, to locate discretion with the regulator to decide where to place regulatory emphasis: the regulator will have to decide on the basis of evidence, what the harm reduction priorities are at any one time. So both illegal and harmful content should be part of the regulator's remit, but the regulator should avoid muddying the distinction between them. In effect, each company would be responsible to observe a general regulator-derived code for dealing with speech that clearly meets a standard of illegality, and a company-specific or sector-wide voluntary code that reflects the terms of service of the company. [Extracted from the article]

Purpose: The purpose of this paper is to investigate the usage, captures, mentions, social media and citations of highly cited papers of Library and information science (LIS). Design/methodology/approach: This study is quantitative research that was conducted using scientometrics and altmetrics indicators. The research sample consists of LIS classic papers. The papers contain highly cited papers of LIS that are introduced by Google Scholar. The research data have been gathered from Google Scholar, Scopus and Plum Analytics Categories. The data analysis has been done by Excel and SPSS applications. Findings: The data indicate that among the highly cited articles of LIS, the highest score regarding the usage, captures, mentions and social media and the most abundance of citations belong to "Citation advantage of open access articles" and "Usage patterns of collaborative tagging systems." Based on the results of Spearman statistical tests, there is a positive significant correlation between Google Scholar Citations and all studied indicators. However, only the correlation between Google Scholar Citations with capture metrics (p-value = 0.047) and citation metrics (p-value = 0.0001) was statistically significant. Originality/value: Altmetrics indicators can be used as complement traditional indicators of Scientometrics to study the impact of papers. Therefore, the Altmetrics knowledge of LIS researchers and experts and practicing new studies in this field will be very important. [ABSTRACT FROM AUTHOR]

This article explores the factors influencing the future citations of conference papers. We concentrated on the explanatory power of early attention on conference papers for citations collected from Google Scholar and Scopus. The early attention data includes users' online activities in a conference support system: CN3. Bookmarks from the bibliographic management system, Citeulike, were used as a collateral source of early attention. To examine the chronological contributions of 13 factors on citations, a multiple sequential regression analysis was conducted for three timepoints of the publication cycle—paper submission, time of conferences, and months after conferences. Our results illustrate that online readers' early attention of Citeulike bookmarks were found to have the most influence on the future impact of the conference papers. The early attention records from CN3 made noteworthy improvements to explaining both the Google and Scopus citations as well. We also found that the type of papers the number of papers presented at a conference, and the best article award records were significant factors influencing future citations. However, the magnitude of the effects made by online readers' early attention from both sources appears to be larger than these three traditional factors. [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]

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]

Exploring how young people engage with, share, and are influenced by news has long captivated academic interest. It is crucial for comprehending how young people are informed and develop critical thinking skills amid evolving media landscapes, and for predicting potential impacts on the industry and democracy. Given the increasing complexity of the news field, this paper conducts a systematic literature review from 2010 to 2022, focusing on journals within SCImago's top 100 list for journalism, media, and communication. The review categorises the 232 academic papers based on origin, methods, and types of youth studied. First, this article systematises geographical origin, methods used, ages and types of youth studied in the 232 academic papers comprising the final sample. Second, it summarises key findings concerning how the most cited papers frame "youth" and "news". Last, the article concludes by pointing out research gaps and possible future challenges. The study reveals that user studies are prominent, while production studies on news media reaching young people are scarce. There is a strong Western bias in current research, with a prevalence of U.S. college student survey studies. The terms "youth" and "news" lack in-depth exploration. This article discusses challenges arising from these findings. [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]

There has been surge in the usage of Internet as well as social media platforms which has led to rise in online hate speech targeted on individual or group. In the recent years, hate speech has resulted in one of the challenging problems that can unfurl at a fast pace on digital platforms leading to various issues such as prejudice, violence and even genocide. Considering the acceptance of Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques in varied application domains, it would be intriguing to consider these techniques for automated hate speech detection. In literature, there have been efforts to recognize and categorize hate speech using varied Machine Learning (ML) and Deep Learning (DL) techniques. Hence, considering the need and provocations for hate speech detection we aim to present a comprehensive review that discusses fundamental taxonomy as well as recent advances in the field of online hate speech identification. There is a significant amount of literature related to the initial phases of hate speech detection. The background section provides a detailed explanation of the previous research. The subsequent section that follows is dedicated to examining the recent literature published from the year 2020 onwards. The paper presents some of the hate speech datasets considered for hate speech detection. Furthermore, the paper discusses different data modalities, namely, textual hate speech detection, multi‐modal hate speech detection and multilingual hate speech detection. Apart from systematic review on hate speech detection, the paper also implement several multi‐label models to compare the performance of hate speech detection by employing classic ML technique namely, Logistic Regression and DL technique namely, Long Short‐Term Memory (LSTM) and a multiclass multi‐label architecture. In the implemented architecture, we have derived two new elements to quantify the hatefulness and intensity of hatred to improve the results for hate speech detection using Indonesian tweet dataset. Empirical Analysis of the model reveals that the implemented approach outperforms and is able to achieve improved results for the underlying dataset. [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]

With the rapid growth of smart terminal industry and User-Generated Content products, Social Media Applications (SMA) products, represented by TikTok, have been booming growth. How to capture and maintain users' attention in order to prolong their stay on the product and increase customer stickiness has become the focus of the industry. Therefore, according to the duration and characteristics of users using SMA, this paper takes the layout of SMA as an example to study the visual attention quality. Firstly, through the literature review, the study of visual attention quality in SMA was summarized into four aspects, including the span, maintenance, allocation, and switch of attention. Secondly, eye movement and behavior experiments were designed based on common content consumption tasks of SMA users to verify the hypotheses proposed in this paper. According to the results: (1) In terms of attention maintenance, linear layout outperformed masonry layout, masonry layout outperformed matrix layout, and in terms of attention span, the reverse was true; (2) In attention allocation, linear layout showed the best anti-interference characteristics; The masonry layout is suitable to be used in the task search stage and also in the dual-task execution stage; (3) In terms of attention switch, the energy cost of attention switch increased in the order of matrix layout, masonry layout and linear layout. (4) In terms of interaction, double-clicking interaction had more advantages in attention allocation and cognitive load than swiping interaction. The research in this paper has provided objective and quantitative data support for the design and operation of SMA products. [ABSTRACT FROM AUTHOR]

The 2022 ‘Women, Life, Freedom’ protests in Iran have led to the escalation of state-sponsored online disinformation campaigns. This paper aims to examine how, amidst a growing legitimacy crisis, the Iranian regime has employed a ‘Big Lie’ to shatter hopes for change by discrediting influential dissidents and hindering the formation of an effective opposition movement. Three target groups have borne the brunt of this strategy: celebrities, political dissidents inside the country, and prominent opponents in the diaspora. By reviewing state-owned media content and tweets, this paper reveals a consistent pattern of character assassination against dissidents. The ruling regime’s ultimate goal is to foster a sense of public hopelessness for an alternative to the Islamic Republic. By conceptualizing the Big Lie online, the study engages with the mechanism of control in modern despotism in the age of the internet and social media. [ABSTRACT FROM AUTHOR]

Crowdsourcing applications that integrate storytelling and geotagging capabilities offer new avenues for engaging the public in cultural heritage. However, standardised evaluation frameworks are lacking. This paper presents an applied evaluation methodology involving the analysis of relevant web-based tools. Towards this goal, this paper presents the development of crowdsourcing applications using, as a case study, the collection of myths and legends associated with the monumental heritage site of the Palace of the Grand Master of the Knights of Rhodes in Greece. Additionally, the paper presents an evaluation conducted through a criteria-based approach and user-based survey. The study reviews the concepts of crowdsourcing and digital storytelling within digital heritage, along with current concepts of living heritage and folklore, and examines relevant initiatives. The evaluation follows a four-stage methodology: (i) initial web-based tool selection based on the minimum requirements of web compatibility, crowdsourced data display, and map-based storytelling capability; (ii) application development using the selected web-based tools; (iii) a five-criteria assessment, based on the factors of open access, usability/tool support, participatory content/story creation, metrics provision and metadata model usage; and (iv) a crowd-based survey, indicating the most effective option. Findings from 100 respondents reveal limited exposure to participatory storytelling applications but interest in contributing content. Social media and influential figures serve as key channels for promoting crowdsourcing open calls. The results highlight gaps in understanding user expectations and perceptions, suggesting future research for gaining insights into engagement rates. [ABSTRACT FROM AUTHOR]

In the context of the new era, teachers and students in colleges and universities, as well as the general public, rely more on the Internet and social media to obtain news, express their opinions, and share information, and the dissemination of public opinion events in colleges and universities is not only related to the physical and mental health of teachers and students but also to the reform and development of colleges and universities. In this study, we took campus public opinion events as the main research object in which we selected three recent campus public opinion events to be analyzed. The public opinion data used in the research was collected from Weibo social media platforms. Firstly, we analyzed the dissemination cycle and regional dissemination patterns of a college food safety public opinion hot event through the popularity and regional distribution of public opinion data, thus revealing its formation and evolution patterns. Secondly, the LDA topic mining method is used to mine the themes of the three hot public opinion events, and then analyze the hot factors of the dissemination of each public opinion event from the massive public opinion data. This is crucial for the management department to grasp the dynamics of public opinion. Then, we used the SKEP sentiment classification method to analyze the emotional factors of the public opinion data of the three events to obtain the overall public opinion sentiment situation of the events. Finally, based on the characteristics of time, region, and gender, the evolution and diffusion rules of public topics and emotional distribution under different types of events are analyzed. The precision of the analyses associated with this paper may be limited to the effects of current mainstream as well as state-of-the-art analytical models. The analysis methods and conclusions in this paper provide a scientific theoretical basis and improvement measures for campus public opinion management, which helps to enhance the level of campus public opinion management and safeguard campus stability and public order. [ABSTRACT FROM AUTHOR]

This paper shows how the leading Higher Education Institutions (HEIs) in the UI GreenMetric World University Ranking communicate their environmental sustainability policies through their websites. Specifically, this paper analyses the presence of sustainability‐related sustainable development goals on the websites of the top 100 universities in the UI GreenMetric World University Ranking (2021). In the area of university social responsibility, sustainability is less commonly communicated, hence the need to delve deeper into the presence of these messages, carrying out a descriptive study using content analysis as a form of data extraction. The conclusion is that neither position in the ranking nor geographic area are decisive for developing better communication about sustainability. In terms of content, sustainability features on the websites are in three key dimensions of the communication of HEIs worldwide (Climate change, Efficiency of sustainable cities and communities and Striving for peace and justice). Thus, the areas for improvement are around the positioning of this sustainability‐related content on their home pages, improving location and format (especially video). Moreover, reinforcing reputational messages, through plans or programmes, as well as improving engagement working on the multi‐directionality to other social media, is required. [ABSTRACT FROM AUTHOR]

Background and Objectives: Evidence suggests telehealth in speech and language therapy can enhance access to care, cost‐effectiveness and satisfaction. However, little is known about use of telehealth in the United Kingdom. Moreover, many assessments/outcome measures for aphasia have been tested for face‐to‐face administration only, posing challenges to reliable use within the telehealth context. We explored the experiences and views of speech and language therapists (SLTs) working with people with aphasia on using telehealth to conduct assessments/outcome measures, perceived barriers and facilitators in telehealth, and their priorities for research in telehealth aphasia assessment. Method: We explored views of UK SLTs through an online cross‐sectional survey (2021) delivered through the Qualtrics platform. The survey covered three main areas: (i) participant demographics; (ii) experience of using telehealth and doing telehealth assessments with people with aphasia post‐stroke during the COVID‐19 pandemic; and (iii) plans for telehealth post‐pandemic. Response formats included yes/no, multiple choice, 5‐point Likert scales and open‐ended text responses. The survey was expected to take no more than 10 min to complete. Survey data were analysed through descriptive statistics and content analysis of open‐ended questions. Results: One hundred twenty‐four SLTs responded to the survey. The majority (>80%) used telehealth during the COVID‐19 pandemic and >90% planned to continue to use telehealth in the future. The most used platforms were Zoom, Microsoft Teams and Attend Anywhere. Access to internet and telehealth platforms, and practical problems (e.g., difficulties sharing resources online, limited functionality of telehealth platforms for assessment) were common barriers. Therapists highlighted that training, resources and materials that assist the administration of assessments were important. Most participants responded that there was a need for existing measures to be tested for administration via telehealth (n = 68, 70.8%). Participants overall felt there was a need for online interactive assessments, more online resources that have been trialled for use via telehealth, accessible formats for resources for people with aphasia and clear instructions for how people with aphasia can access resources. Conclusions: This study provides new insights into the current use of telehealth assessment with people with aphasia in the United Kingdom and directions for future research. Barriers and facilitators identified can support the implementation of telehealth assessment in SLT services. WHAT THIS PAPER ADDS: What is already known on the subject: The use of telehealth in speech and language therapy has advantages in terms of access to care, cost‐effectiveness and satisfaction with care. However, little is known about the use of telehealth in aphasia rehabilitation in the United Kingdom, especially in the area of assessment and outcome measurement. What this paper adds to existing knowledge: This study identified that the majority (>80%) of aphasia therapists used telehealth during the COVID‐19 pandemic and >90% planned to continue to use telehealth in the future. A need was identified for existing measures to be tested for administration via telehealth and for training, resources (e.g., online interactive assessments) and materials (e.g., accessible formats for people with aphasia). What are the potential or actual clinical implications of this work?: To facilitate the successful implementation of telehealth assessment, there is a need for measures validated for use via telehealth and more online resources that have been trialled for use via telehealth. [ABSTRACT FROM AUTHOR]

Are there certain shared feelings that orient contemporary feminists? And what does it mean to feel like a feminist now, at a time when digital networks and media culture significantly shape the conditions for what feminism 'is' (Banet-Weiser 2018)? This paper considers how digital culture, as a crucial but potentially disorienting site of feminist encounter and contestation, may reshape norms of feminist feeling, and what feminist feeling is used to do. Feminists have long understood feeling as an 'orienting device' (Ahmed 2006). in the question of how subjects come to know the world and situate themselves in it. Feminism itself has been associated with a 'willfulness' creating dissident subjectivities moving against the grain of prevailing patriarchal gender norms. Following Ahmed's queer phenomenology where feeling is theorized as an 'orientation' towards objects, this paper considers how the affective infrastructures and dynamics of digital culture orient and draw boundaries for feminists along particular lines. We explore self-identifying feminists' accounts of learning, interaction and deliberation as feminists within digital environments, suggesting that what it means to be feminist is significantly determined by what it means to feel feminist. While digital culture makes feminism more 'accessible' to many, we suggest that the commercialized architectures and rhythms of digital culture complicate and intensify the politics of emotion connected to differences and histories of power relations within feminism. [ABSTRACT FROM AUTHOR]

Objective: This paper explores Australian military families' use of social media and digital communication to maintain and strengthen parent–child relationships during military deployments. Background: The physical and emotional well‐being of children and partners of military serving members is affected by service. Maintaining positive family relationships between military members and their children during periods of absence (including deployment) is important for parental relationships as well as the well‐being of the child. Method: A qualitative meta‐analysis is used to collate data from two previous studies of Australian Defence Force (ADF) families with children, in order to generate a new data set from which novel insights were drawn. Results: Families show a preference for social media and digital communication methods, and digital technologies affordances and practicalities are well suited for Defence families with children. There are a range of benefits; digital technologies are used to strengthen relationships between children and their deployed parent. The study highlights a range of challenges for deployed parents as well as points to the work required from the at‐home parent in facilitating these connections. Conclusion: Maintaining positive family relationships between military members and their children during times of absences is important for both relationships. This paper explores how ADF families use social and digital communication during military absences and outlines the role these technologies play as a medium for strengthening familial relationship. Implications. The findings of this paper highlight the importance of digital and social communication technologies for supporting families during absences. This has implications for the ADF, who might look to reduce members' access to such communication for security concerns. Reduced family well‐being may also have impacts on retention, a key issue for military organizations. Accordingly, the findings of this paper may be used to inform decisions about restricting internet and social media access for deployed military members. [ABSTRACT FROM AUTHOR]

This paper develops an analytical framework for comparative research on political contention in the digital age and, building upon it, provides a literature review of social media research related to LGBTQ+ political contention. So far, we lack systematic insights into the literature on digitally-mediated LGBTQ+ political contention and its potential for comparative research. Applying scoping literature review, we focus on the key comparative dimensions such as political context, social media, and knowledge production. The results provide an overview of the state of the art, limitations, and opportunities while also developing an agenda for future comparative research. This paper supports the visibility of LGBTQ+ issues in a still hostile public debate for both LGBTQ+ activists and researchers. [ABSTRACT FROM AUTHOR]

This paper examines the role of dark patterns in the context of TikTok, an emerging social media platform. Drawing on principles from behavioral economics and the existing literature on online choice architecture (OCA), the study investigates how TikTok utilizes choice architecture, namely, dark patterns to engage users and explores the potential implications for data protection, algorithmic practices and market dynamics. The paper employs the "walkthrough method" to conduct a case study, describing the TikTok user experience and mapping potential dark patterns employed by the app. Based on the case study, it discusses the challenges in classifying dark patterns (specially as it depends on the user impact) against legitimate commercial practices. Finally, it describes how dark patterns and OCA have been discussed in the Latin American legal landscape, and finally it proposes next steps for the debate based on the findings of the article.. [ABSTRACT FROM AUTHOR]

Social media data are rapidly evolving and accessible, which presents opportunities for research. Data science techniques, such as sentiment or emotion analysis which analyse textual emotion, provide an opportunity to gather insight from social media. This paper describes a systematic scoping review of interdisciplinary evidence to explore how sentiment or emotion analysis methods alongside other data science methods have been used to examine nutrition, food and cooking social media content. A PRISMA search strategy was used to search nine electronic databases in November 2020 and January 2022. Of 7325 studies identified, thirty-six studies were selected from seventeen countries, and content was analysed thematically and summarised in an evidence table. Studies were published between 2014 and 2022 and used data from seven different social media platforms (Twitter, YouTube, Instagram, Reddit, Pinterest, Sina Weibo and mixed platforms). Five themes of research were identified: dietary patterns, cooking and recipes, diet and health, public health and nutrition and food in general. Papers developed a sentiment or emotion analysis tool or used available open-source tools. Accuracy to predict sentiment ranged from 33·33% (open-source engine) to 98·53% (engine developed for the study). The average proportion of sentiment was 38·8% positive, 46·6% neutral and 28·0% negative. Additional data science techniques used included topic modelling and network analysis. Future research requires optimising data extraction processes from social media platforms, the use of interdisciplinary teams to develop suitable and accurate methods for the subject and the use of complementary methods to gather deeper insights into these complex data. [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]

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]