Current Media Research Articles

On the tensorial nature of the hydraulic aperture of rough fractures

Current fractured porous media models may account for the roughness and geometry of the fractures to upscale hydraulic apertures that represent the local aperture distributions. Still, such approaches do not discuss the tensorial nature of the hydraulic aperture, and by employing scalar representations, these models may fail to capture the anisotropy of the fluid flow in rough fractures. By mimicking natural fractures with walls of varying roughness and contact area, we derive hydraulic aperture tensors that preserve the anisotropic flow patterns enforced by local aperture distributions. This work underscores the critical need to represent hydraulic apertures as tensors to model anisotropic fluid flow in rough fractures and proposes a method for upscaling such tensors.

“That’s just, like, your opinion” – European citizens’ ability to distinguish factual information from opinion

Abstract In the current media landscape, it is becoming increasingly difficult for citizens to rely on trustworthy information, not least because reliable facts are mixed with dubious claims, unsubstantiated opinions, or outright lies. The ability to distinguish factual from other types of mediated information is becoming increasingly crucial, but we know little about how well-equipped citizens are to make these distinctions. In an original survey study conducted in ten European countries, we asked respondents whether they considered six different statements relating to the European Union to be factual or opinion statements. Our results show that citizens have considerable difficulties in correctly identifying both factual information and opinions. Next to pre-existing judgements, we identify media-related, political, and sociodemographic factors that influence categorisation accuracy. We discuss our findings in relation to citizens’ perceptions of journalistic credibility and their information literacy as well as ongoing debates about the effectiveness of fact-checkers on social media.

Media Literacy Practices to Prevent Obesity and Eating Disorders in Youth.

Obesity and eating disorders share common issues related to media use and effects, especially in the USA. Current research increasingly demonstrates that media literacy can address this problem. This narrative review highlights current media literacy-based research for obesity and eating disorder prevention among youth. Current research using media literacy techniques to prevent obesity indicates that these interventions improve nutrition outcomes, improve family communication about food, improve critical thinking about food advertisements, reduce sugar and fat intake, and reduce screen use for parents and youth. In addition, eating disorder research reveals that media literacy techniques lead to higher scores of body satisfaction and self-esteem, with lower scores of perfectionism, thinness, and ideal masculinity. There is a need for media literacy-based interventions to focus on family communication to prevent obesity and eating disorders. Furthermore, there should be more focus on identified levels of prevention and specific clinical outcomes.

Analisis Kebutuhan E-Modul Biologi Terintegrasi Nilai IMTAQ Di SMA Negeri 1 Rangsang Barat

Material learning is a tool for conveying teaching material or messages used by an educator, where in the current era teaching media has developed and is very easy to find in other media. One of the teaching media such as E-Module, E-Module which is integrated with IMTAQ values is not often found, therefore researchers are researching this matter which has a research objective, namely for a preliminary study to see how the learning process is and what media are used during the process. learning. The method used in this research is descriptive qualitative where the researcher describes or analyzes the research results obtained. From the results of the research, researchers found that teaching media is really needed in the learning process, which can influence whether students will focus or not during the learning process, as well as whether or not the material messages that educators want to achieve in the ongoing learning process are conveyed. And the teaching media used is still PPT (Powerpoint), where researchers see that there are still many students who lack focus during the learning process, even when educators use teaching media such as PPT (Powerpoint).

The Virtual and Realistic Journey of Digital Human: An Assemblage of Urban Communication

Artificial intelligence technology provides conditions for the development, improvement, and promotion of digital humans. As a hot spot in current social media, digital humans have formed a continuously changing but relatively stable urban assemblage with elements such as urban image architecture, urban cultural communication, and urban image in social platforms. From the assemblage perspective, this paper analyzes the content of virtual people and urban culture communication in social media though assemblage ethnography. These materials show that in the social environment of rapid development and change of new technology, active use of new technology and new media platforms is conducive to the dissemination and development of traditional culture, while increasing the attraction to young audiences and building a dynamic urban imagination. It also emphasizes the importance of paying attention to the interaction between humans and non-humans and breaking the boundary between virtual and reality in the ever-changing social environment.

Mass Medias Impact on Students Mental Health

Contemporary people live in a reality full of intelligent technology construction, and many practical activities are regulated by technology. The chat content generation pre-training program artificial intelligence developed by the Open Artificial Intelligence Research Center (OpenAI) based on large model data training has aroused wide concern because of its generation and learning ability. It is necessary to admit that the current domestic media publicity seems to focus more on the convenience that big data technology may bring to human society. But not much about its own limitations. In the few discussions on the negative effects of big data technology, more concerns are raised about the ethical risks that may be caused by the abuse of relevant technology, such as the threat of "data greed" to personal privacy, and the decision-making errors that may be caused by the superstition of business decision-makers and government heads about "digital dictatorship", etc. From the perspective of philosophy of information technology and philosophy of cognitive science, this paper reviews the gains and losses of big data technology itself in terms of philosophical thought premise and path strategy. Starting from the theory of "moral materialization", this paper analyzes the ethical value load and risk of artificial intelligence from the perspectives of moral subject status, value position presupposition, operation intervention and operation result effect. And from the moral materialization theory of "top-down" approach and "bottom-up" approach to the ethical governance of modern scientific and technological intelligent artifacts.

Oral Materialization and Ethical Governance of Science and Technology in Artificial Intelligence

Contemporary people live in a reality full of intelligent technology construction, and many practical activities are regulated by technology. The chat content generation pre-training program artificial intelligence developed by the Open Artificial Intelligence Research Center (OpenAI) based on large model data training has aroused wide concern because of its generation and learning ability. It is necessary to admit that the current domestic media publicity seems to focus more on the convenience that big data technology may bring to human society. But not much about its own limitations. In the few discussions on the negative effects of big data technology, more concerns are raised about the ethical risks that may be caused by the abuse of relevant technology, such as the threat of "data greed" to personal privacy, and the decision-making errors that may be caused by the superstition of business decision-makers and government heads about "digital dictatorship", etc. From the perspective of philosophy of information technology and philosophy of cognitive science, this paper reviews the gains and losses of big data technology itself in terms of philosophical thought premise and path strategy. Starting from the theory of "moral materialization", this paper analyzes the ethical value load and risk of artificial intelligence from the perspectives of moral subject status, value position presupposition, operation intervention and operation result effect. And from the moral materialization theory of "top-down" approach and "bottom-up" approach to the ethical governance of modern scientific and technological intelligent artifacts.

Co-occurrence word model for news media hotspot mining-text mining method design.

Currently, with the rapid growth of online media, more people are obtaining information from it. However, traditional hotspot mining algorithms cannot achieve precise and fast control of hot topics. Aiming at the problem of poor accuracy and timeliness in current news media hotspot mining methods, this paper proposes a hotspot mining method based on the co-occurrence word model. First, a new co-occurrence word model based on word weight is proposed. Then, for key phrase extraction, a hotspot mining algorithm based on the co-occurrence word model and improved smooth inverse frequency rank (SIFRANK) is designed. Finally, the Spark computing framework is introduced to improve the computing efficiency. The experimental outcomes expresses that the new word discovery algorithm discovered 16871 and 17921 new words in the Weibo Short News and Weibo Short Text datasets respectively. The heat weight values of the keywords obtained by the improved SIFRANK reaches 0.9356, 0.9991, and 0.6117. In the Covid19 Tweets dataset, the accuracy is 0.6223, the recall is 0.7015, and the F1 value is 0.6605. In the President-elects Tweets dataset, the accuracy is 0.6418, the recall is 0.7162, and the F1 value is 0.6767. After applying the Spark computing framework, the running speed has significantly improved. The text mining news media hotspot mining method based on the co-occurrence word model proposed in this study has improved the accuracy and efficiency of mining hot topics, and has great practical significance.

Social media-based e-commerce consumer behavior prediction model in marketing strategy

Abstract The rapid development of information technology has entered the era of network big data, online shopping for young people has become a fashion, and social media platforms have gathered a large amount of consumer purchase data. In this paper, for the current social media facing the problem of user consumption behavior prediction accuracy, data mining technology is referenced to analyze and predict user consumption behavior. The entropy weight method is used to segment e-commerce consumers based on RFM, and on this basis, the simple Bayesian method is used to model consumer behavior and construct an algorithm suitable for analyzing and predicting consumer behavior using social media data. Consumers are categorized into important value customers (7.21%), important development customers (18.76%), important retention customers (7.32%), general value customers (9.86%), general development customers (37.14%), and general retention customers (19.71%). The accuracy rate (ACC) for social media-based e-commerce consumer behavior is 84.92%, which allows for more accurate predictions. The study provides a scientific foundation for e-commerce platforms or enterprise decision-making, incubates emerging industries by analyzing big data, addresses major user needs, and becomes a new engine for promoting social progress.

Decoding Desires: The Subconscious Motivations of Fan Fiction Authors

Fan-Fiction, originating from early science fiction, has become a popular culture, fuelled by the digital age and online communities. Fan-fiction is a creative technique in which fans actively connect with current media texts by creating their own stories, frequently reinventing and building on the established worlds and characters of their favourite source material. From a psychoanalytical perspective, it offers a secure environment in which young people may project their unconscious desires and thoughts onto the characters and settings they love. They can virtually experience events that could be controversial, banned, or otherwise deviate from society standards by inventing alternate narratives. Despite its easy accessibility, it can also be a source of objectification, inappropriate content, fluctuating writing quality and stereotypes, which could morbidly influence the psyche of young authors and readers. This study investigates fan-fiction from a psychoanalytic standpoint, concentrating on its diverse themes and attractiveness to the Fan-fiction community, aiming to understand its effect on its prosumers.

Analysis of the cognitive function of myths about gender violence: the case of Rocío Carrasco / Análisis de la función cognitiva de los mitos sobre la violencia de género: el caso de Rocío Carrasco

This study analyses the cognitive function of myths about partner violence against women in the social perception of a case that caused a media frenzy in Spain: the documentary story ‘Rocío Carrasco. Contar la verdad para seguir viva’ (‘Rocío Carrasco: Telling the Truth to Stay Alive’). We studied the relationship between these myths and the credibility and blame attributed to Rocío Carrasco. We also tested different explanatory mechanisms of these associations: the warmth/competence qualities of the victim and the different motivations attributed to her in the documentary (monetary, the quest for justice, revenge and emotional recovery). The results showed that the participants ( N = 295) who adhered more to the myths attributed less credibility and more blame to Rocío Carrasco. Moreover, we found that her perceived warmth (but not her competence) and the attribution of different motivations mediated these relationships. Using a current media case, these findings enable us to learn more about both the cognitive function of myths about the perception of gender violence and possible explanatory mechanisms.

Digital and Convergent Development Indicators for UATV English Channel in 2022-2023

Introduction. International broadcasting of Ukraine, namely the digital UATV English channel, has been active since 2017, but the most active period of rapid growth happened in 2022–2023 with the onset of Russia’s full-scale invasion of Ukraine. World attention allowed for a natural audience growth to the level of long-standing European and American international broadcasting YouTube channels. Implementing a modern strategy of digital tabloidisation kept the audience involved over time, and the channel maintained periodic natural audience growth, which is evidenced by certain digital and convergent indicators. Relevance of the study. Purpose of the research – research into the digital and convergent indicators of the development of the Ukrainian international broadcasting channel UATV English in 2022–2023 in order to understand their impact on strategic planning and efficiency of the media channel in the current information landscape. Methodology. Theoretical and empirical methods were used. The entire scientific procedure was based on a socio-communication approach. Source description, literature analysis, statistical method, observation, forecasting, historical method. The research period is from January 2022 to January 2024. The necessary data were collected from open-source digital analytics websites and social media platforms, as well as provided by the editorial team of UATV English itself. Results. The available data allow us to assess the efficiency of the current media strategy, implied by UATV English, based on digital indicators (both open-source and inside metrics), formulate conclusions and recommendations for an exemplary media strategy and lay ground for future in-depth research of Ukraine’s international broadcasting system after February 2022. Conclusions. Although the period of global attention has been diverted from Ukraine to the Middle East in the second half of 2023, the UATV English editorial team managed to maintain a high level of audience involvement, alongside providing natural growth of the audience through implying tabloid approaches to content design, using available tools for user engagement, analysing the demand of the audience and answering it with appropriate thematic content. However, there’s still room for standardising and establishing a single and exemplary media strategy and content design to meet the contemporary needs of the audience.

“I Know News Will Find Me”: Examining the Relationship Between the “News-Finds-Me” Perception and COVID-19 Misperceptions

ABSTRACT In the current media environment, some individuals have shifted from actively monitoring news toward passively waiting for the media to alert them about news to a certain extent, forming a “news-finds-me” (NFM) perception. Drawing on a cross-sectional survey (N = 906) of adults from the United States, this study investigates the relationship between the NFM perception and COVID-19 misperceptions. Findings demonstrated a positive association between NFM perception and misperceptions. Moreover, information avoidance mediated the relationship between NFM and misperception. Finally, need for cognition (NFC) was a significant moderator, such that among those with greater NFC, the indirect effect of NFM perception on misperceptions became weaker. Findings of this study can contribute to the literature of NFM perception in health contexts and provide useful guidelines for combating misinformation and misperceptions in the algorithm-generated information environment.

PLATFORM POWER, XR, AND THE METAVERSE: NEW CHALLENGES OR OLD STRUCTURES?

While social media platforms continue to dominate the ways in which people connect using computational devices and digital media, a transition towards more immersive platforms and experiences is underway. Extended reality (XR) is the umbrella term for media that enable experiences in augmented, mixed, and virtual reality. Through XR technologies, new digital spaces are being developed that combine features of existing digital platforms with elements of the immersiveness of gaming, sometimes referred to informally as ‘the metaverse’. Notably, many of the corporations behind the dominant social media platforms are active in the XR economy. Meta has garnered much attention in this regard, but Google, Apple, Microsoft, Amazon and Sony have all either entered the market or have been reported as having XR/metaverse ambitions. Through a multiple-case study of three companies—Meta, Epic Games/Unity Engine and ROBLOX—this paper maps out key dimensions of the emerging metaverse economy and shows how the platform characteristics of XR providers, similar to the current social media economy, can enable the concentration of social and economic power around a few actors. We propose that in the transition to a more immersive digital era, to enable a competitive, vibrant and fair XR economy, policymaking and governance must proactively address the issue of concentrated platform power. The paper concludes with a discussion of potential policy and regulatory pathways for taking up this challenge.

Occurrence Characteristics and Ecotoxic Effects of Microplastics in Environmental Media: a Mini Review.

The issue of environmental pollution caused by the widespread presence of microplastics (MPs) in environmental media has garnered significant attention. However, research on MPs pollution has mainly focused on aquatic ecosystems in recent years. The sources and pollution characteristics of MPs in the environment, especially in solid waste, have not been well-described. Additionally, there are few reports on the ecotoxicity of MPs, which highlights the need to fill this gap. This review first summarizes the occurrence characteristics of MPs in water, soil, and marine environments, and then provides an overview of their toxic effects on organisms and the relevant mechanisms. This paper also provides an outlook on the hotspots of research on pollution characterization and ecotoxicity of MPs. Finally, this review aims to provide insights for future ecotoxicity control of MPs. Overall, this paper expands our understanding of the pollution characteristics and ecological toxicity of MPs in current environmental media, providing forward-looking guidance for future research.

Development Of An Ethnoscience-Based Digital Comic "Tari Saman" For Human Movement System Material

Scientific literacy skills are still low, and students' lack of interest in getting to know culture is a current educational issue, so innovative, creative and interesting learning media are needed to increase interest in reading and the formation of national cultural character in students. The development of digital comics in the field of science has been carried out by many researchers, but there are still few who combine the material with local wisdom to form cultural characters. This ethnoscience- based digital comic designed to be a pilot project and learning resource for teachers and students in Indonesia in mastering science, technology, skills and attitudes based on the Independent Learning Curriculum. The data was analyzed by processing validator response data with a Likert scale which was converted into qualitative data . The research subjects were media, material and language experts, 60 high school students in class XI high school science, and 6 biology teachers. The instruments used were expert validation tests and questionnaires. The data was analyzed by processing validator response data with a Likert scale which was converted into qualitative data. The purpose of this research can measure the effectiveness of the ethnoscience -based digital comic "Tari Saman" on movement system material to improve students' scientific literacy skills and national cultural character according to P5 (Strengthening Pancasila Student Profile Project). This research uses the 4D method (Define, Design, Develop, Disseminate). The validity test results show that ethnoscience-based digital comics “tari saman” have a moderate level of validity with an Aiken index value > 0.4. the results of the feasibility test were 88% by the teachers and 90% by students and media practicability were 88% by teachers and 89% by students. It can be concluded that ethnoscience-based digital comics “tari saman” are valid, feasible and practical to use as supporting media for Biology learning.

Embracing the (r)evolution of social media and digital scholarship in pediatric nephrology education.

Free Open-Access Medical Education (FOAMed) has transformed medical education in the past decade by complementing and substituting for traditional medical education when needed. The attractiveness of FOAMed resources is due to their inexpensive nature, wide availability, and user ability to access on demand across a variety of devices, making it easy to create, share, and participate. The subject of nephrology is complex, fascinating, and challenging. Traditional didactic lectures can be passive and ineffective in uncovering these difficult concepts and may need frequent revisions. Active teaching methods like flipped classrooms have shown some benefits, and these benefits can only be multifold with current social media tools. Social media will inspire the involvement of students and allow them to create and share educational content in a "trendy way," encouraging the participation of their peers and thus building an educational environment more conducive to them while promoting revision and retainment. FOAMed also promotes asynchronous learning, spaced learning, microlearning, and multimodal presentation with a meaningful variation. This article discusses the evolution of digital education, social media platforms, tools for creating and developing FOAMed resources, and digital scholarship.

Are elders able to produce TV News content?

When examining the current media landscape, we can see that technologies play a major role in our daily lives. No one is immune to its effects even elders, who are typically seen as being removed from these situations, have long since given up their role of "laggards" (Rogers, 1995) and are now "digital immigrants" (Prensky, 2001). It represents an opportunity for them to express themselves creatively as anyone, they can generate, publish, and broadcast content if they have the necessary tools and acquire the right know-how. A study being conducted at Leiria Polytechnic Institute's ESECS (Higher School of Education and Social Sciences) for the Senior TV project, the aim is for a group of seniors (from the Polytechnic’s 60+ project) to produce, record, direct, and edit TV news programming (interviews and reports). This content is already accessible via YouTube.
 We believe that, by being taught how to produce TV, elders might benefit from this experience in a wide array of areas. It helps in their social relationships as well as raise their levels of media and digital literacy and impose a moment of permanent education.

Метафорическое моделирование образа президента США Джо Байдена в англоязычном политическом медиадискурсе

This paper dwells on the metaphorical representation of the image of the current US president, Joe Biden, in contemporary English-language political media discourse. The study aimed to describe and systematize the metaphorical models of Biden’s current media image as well as explicate its perception reflected in the national worldview of the native speakers of English. The article considers conceptual metaphor as one of the main image-creating tools in media texts having considerable pragmatic potential. A variety of scientific methods were used in the research: continuous sampling to select texts published from Biden’s inauguration to the present day; cognitive discursive interpretation of metaphorical models to describe their frame structure; component analysis to identify the source domain of the metaphorical expansion of some concepts and their contents (pragmatic meanings); classification method to systematize the models and their representations. The research results show a dominance of the metaphorical models that engender a negative image of the 46th US president in contemporary English-language media. These models actualize the negative signs of being too old, aggressive and unfit for ruling, as well as intellectual decay and some other negative traits of his image, which demonstrates a clear dislike of Biden in the English-language political media discourse and can indirectly cause corresponding reactions and attitudes towards him in society. The comparison of the subspheres of metaphorical expansion showed that the source domain Society has the highest productivity and a slight positive potential. This domain’s representations demonstrate an attempt at a positive conceptualization of Biden’s personality in American discourse. Furthermore, comparing the subspheres of metaphorization contributes to a better understanding of conceptual metaphor functions and common tendencies towards metaphorical representation of a political figure in mass media discourse.

Megadungeon: A Model for Media Complexity

The essay aims to propose the diagrammatic structure of the megadungeon as a metaphor to represent the complexity, interconnectedness, and multi-layered nature of the current media scenario, including its active branches such as new media art and Digital Humanities. The reference is drawn from the concept of the dungeon, which has been successfully introduced into the realm of role-playing games since the 1970s. Conventionally, a dungeon refers to a complex, multi-level maze of corridors, tunnels, rooms, and hidden chambers. The nature of dungeons is to be theoretically infinite floor plans that game designers have learned to produce algorithmically: when they cross a certain size threshold, they are known as megadungeons. In this article, I propose the megadungeon as a productive topological model that intersects different sociotechnical aspects of digital media, drawing on shared characteristics such as a layered structure, labyrinthine exploration, game-derived grammar, and an affinity with computational domain. Additionally, the essay proposes comparisons with similar representation models that challenge outdated cartographic metaphors and addresses specific connections between new media and the concepts of verticality and stratification