Metaverse Basic and Applied Research最新文献

{"title":"Enhancing the Identification of False News using Machine Learning Algorithms: A Comparative Study","authors":"Patakamudi Swathi, Dara Sai Tejaswi, Mohammad Amanulla Khan, Miriyala Saishree, Venu Babu Rachapudi, Dinesh Kumar Anguraj","doi":"10.56294/mr202466","DOIUrl":"https://doi.org/10.56294/mr202466","url":null,"abstract":"In today's digital world filled with information overload, preventing the rampant spread of fake news has become an urgent task. Discover the Fake News Prediction System (FNPS), which uses advanced machine learning and technology to provide innovative solutions and powerful methodologies. Natural language processing methods. FNPS uses sophisticated feature engineering from diverse, curated datasets to identify underlying patterns in fraudulent content and significantly improves the ability to recognize authenticity. FNPS achieves outstanding performance using a combination of classifiers combining TF-IDF vectorization, deep learning architecture, and sentiment analysis, demonstrating its ability to accurately predict the legitimacy of news articles. Beyond simple forecasting, FNPS provides an intuitive user interface for evaluating news content in real time. This not only increases accessibility but also promotes media literacy and responsible consumption of information. Provides additional information and promotes robust public discourse. FNPS essentially demonstrates the revolutionary potential of advanced technology in ongoing combat. This will further the important public goal of ensuring the reliability and integrity of information in the digital age.","PeriodicalId":499032,"journal":{"name":"Metaverse Basic and Applied Research","volume":"32 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140696843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LIS Educators’ Perception Towards the Adoption of AI Tools in Nigerian Library Schools","authors":"Solomon Oyetola, B. Oladokun, Kudu Dogara","doi":"10.56294/mr202465","DOIUrl":"https://doi.org/10.56294/mr202465","url":null,"abstract":"The incorporation of Artificial Intelligence (AI) into education marks a significant shift in how students learn, teachers teach, and educational institutions operate. This research delved into the knowledge and views of Library and Information Science (LIS) educators regarding the use of AI in library schools in Rivers State. The study employed a survey approach, combining qualitative and quantitative methods. A total of 44 LIS educators from various institutions in Rivers State participated, selected through random sampling, and data were collected using an online survey. The study found that while many LIS educators are aware of AI and have integrated it into their teaching and research, there remains a considerable gap in formal training and professional development in this area. Despite this, there is a clear understanding among educators of the value of AI in library and information science education, in line with broader trends in education and industry. The research also identified positive attitudes towards AI as a tool to enhance education quality and prepare students for careers in librarianship and information science. However, several barriers hinder the integration of AI into curricula and practices, including lecturer attitudes, credibility of information sources, internet connectivity, negative institutional perceptions, and low lecturer competency in AI. To address these challenges, the study recommends that Nigerian library schools fully implement AI technologies like chatbots, barcodes, RFIDs, and robotics to enhance teaching activities. It also suggests that higher education institutions develop specialized training programs and workshops on AI for library schools, covering both basic and advanced concepts. This would enable educators to effectively integrate AI into their teaching and research practices.","PeriodicalId":499032,"journal":{"name":"Metaverse Basic and Applied Research","volume":"23 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140696402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ethical use of data in the metaverse for corporate social responsibility","authors":"Samuel Ejiro Uwhejevwe-Togbolo, Festus Elugom Festus Elugom, Nelson Iguemedere Ofomaja","doi":"10.56294/mr202461","DOIUrl":"https://doi.org/10.56294/mr202461","url":null,"abstract":"The study examined ethical use of data in the metaverse for corporate social responsibility (CSR). The study noted that Metaverse, is an emerging technology with vast potential for businesses, social interactions, and entertainment. Nevertheless, with the increasing use of data in this digital realm, it is crucial to ensure the ethical use of data and prioritize Corporate Social Responsibility (CSR). Thus, metaverse has garnered a lot of interest recently. It describes a group virtual shared environment that is produced through the combination of virtual, augmented, and physical reality settings. The metaverse can be conceptualized as an immersive, persistent, and networked virtual environment where users can explore different virtual environments, interact with one another, and take part in a variety of activities. Consequently, in the metaverses, CSR plays a crucial role. These elements consist of safeguarding user privacy and data security, battling false and misleading information, encouraging diversity and inclusion, addressing the impact on the environment, supporting moral business conduct, and enhancing stakeholder trust. The study concluded that Corporate social responsibility is crucial when it comes to the moral use of data in the metaverse. Companies can foster trust with their users and help the metaverse succeed as a whole by making sure that user data is gathered, stored, and used ethically. It was recommended that firms should consider the environmental impact of the metaverse and adopt sustainable practices to minimize negative consequences on the environment.","PeriodicalId":499032,"journal":{"name":"Metaverse Basic and Applied Research","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140501244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What will the education of the future look like? How have Metaverse and Extended Reality affected the higher education systems?","authors":"Agnieszka Pregowska, Magdalena Osial, Aleksandra Gajda","doi":"10.56294/mr202457","DOIUrl":"https://doi.org/10.56294/mr202457","url":null,"abstract":"Education is one of the essential foundations of the sustainable development of societies, in particular, the objectives SDG4 of the UN General Assembly. Extended Reality (XR, so-called Metaverse) enables multisensory interaction with virtual environments, computer-created objects, and avatars. Also, the dynamic development of Head Mounted Displays (HDMs) allows for an increasingly deeper experience of the virtual world, especially through the development of depth perception, including the rendering of several modalities like vision, touch, and hearing. This creates a unique opportunity to revolutionize the higher education system by adding a new dimension of cognition and making it accessible to more people, especially those living in hard-to-reach areas. It is also a perfect complement to the process of educating students during a pandemic, such as the recent COVID-19 pandemic. In this paper, based on the literature and our experience, we provided an overview of the possibility of the Metaverse application in higher education taking into account the advantages and limitations of the systems. It turned out that XR-based solutions can be successfully applied in medical education, chemistry courses as well as in Science, Technology, Engineering, and Mathematics (STEM) education. Moreover, the XR-based systems are useful for learning spatial skills such as navigation, spatial reasoning, and perception. In the case of remote learning, XR enables easier adaptation to the educational formula. Also, during lockdowns, an XR-based application can be considered a tool to promote socialization in the event. Thus, it enables to implementation of open and inclusive learning and teaching space, namely Edu-Metaverse. In the current social context, the obtained results provided valuable insights into factors affecting the users during the application of Metaverse in education processes, including remote learning. Finally, this paper suggests a research direction for the development of effective Metaverse-based educational solutions.","PeriodicalId":499032,"journal":{"name":"Metaverse Basic and Applied Research","volume":"94 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135539823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}