Search Results (266)

This paper continues the series of publications of our interdisciplinary research findings at the crossroads of higher education sustainability (SDG 4.3), smart education, and artificial intelligence (AI) tools. AI has begun to be used by universities to increase the quality of higher educational services. AI tools are expected to help university teachers in the teaching process. Students also use AI to help them complete their tasks. At the same time, AI may threaten Sustainable Development Goal 4 (SDG 4). In particular, this is a “blank spot” in the study of AI and non-violent learning environments (SDG 4.3). The aim of the study was to verify competing statistical hypotheses. To achieve this aim, the authors used modern, economically sound methods. The authors processed the responses of 1102 students from eight Eastern European universities using a special electronic questionnaire. The authors statistically processed the student survey results and then tested a pair of conflicting statistical hypotheses. The authors adopted a standard level (α = 0.05) of hypothesis checking. Testing statistical hypotheses led to obtaining two statistically substantiated new scientific facts: (1) The requirement for “non-violent” learning environments does not meet some students’ needs. (2) The number of these students can be up to 31.94%. Summary: The new scientific facts are helpful for further developing world pedagogical theory and practice. They are the basis for forecasting and preparing for managerial actions aimed at SDG 4.3. Full article

(1) Background: News deserts are communities without a local news outlet, or communities where residents face significantly reduced access to the news of the local public sphere. The demise of a local news outlet can have negative effects on community engagement and on the discussion of solutions to community problems. In Portugal, for example, 25% of municipalities do not have their own media outlets. When there are no journalists reporting on reality, studies show that much of the local information in these territories is obtained through social media, such as Facebook pages and groups, which can be a source of disinformation and manipulation that communities become vulnerable to. (2) Methods: Through focus groups in the municipality of Manteigas, we researched perspectives and behaviours, as well as the factors that influence people’s choices in the consumption of information. (3) Results: We found that citizens used a wide range of informational sources, with a strong dependence on social media and institutional channels to access local information. (4) Conclusions: Proximity relationships are the basis of fact-checking processes, and citizens showed less concern about disinformation and more trust in the information they accessed through official institutions’ pages and through word-of-mouth in their communities. Full article

The proliferation of fake news and fake profiles on social media platforms poses significant threats to information integrity and societal trust. Traditional detection methods, including rule-based approaches, metadata analysis, and human fact-checking, have been employed to combat disinformation, but these methods often fall short in the face of increasingly sophisticated fake content. This review article explores the emerging role of Large Language Models (LLMs) in enhancing the detection of fake news and fake profiles. We provide a comprehensive overview of the nature and spread of disinformation, followed by an examination of existing detection methodologies. The article delves into the capabilities of LLMs in generating both fake news and fake profiles, highlighting their dual role as both a tool for disinformation and a powerful means of detection. We discuss the various applications of LLMs in text classification, fact-checking, verification, and contextual analysis, demonstrating how these models surpass traditional methods in accuracy and efficiency. Additionally, the article covers LLM-based detection of fake profiles through profile attribute analysis, network analysis, and behavior pattern recognition. Through comparative analysis, we showcase the advantages of LLMs over conventional techniques and present case studies that illustrate practical applications. Despite their potential, LLMs face challenges such as computational demands and ethical concerns, which we discuss in more detail. The review concludes with future directions for research and development in LLM-based fake news and fake profile detection, underscoring the importance of continued innovation to safeguard the authenticity of online information. Full article

This research examines the spread of disinformation on social media platforms and its impact on state resilience through a systematic literature review of 150 peer-reviewed studies published between 2014 and 2024. The analysis revealed that disinformation spreads six times faster than accurate information, with emotions and platform algorithms playing a significant role in its spread. Factors such as low digital literacy, political polarization, and declining trust in institutions increase people’s vulnerability to disinformation. Impacts on national security include threats to the integrity of democratic processes, the erosion of social cohesion, and decreased public trust. The most effective coping strategies include improving digital literacy (78 percent effective), fact-checking (65 percent), and content regulation (59 percent). However, these efforts face ethical and legal challenges, especially regarding freedom of expression. This research highlights the need for a multidimensional approach in addressing the “information pandemic”, integrating technological, educational, and policy strategies while considering ethical implications. The findings provide a foundation for further policy development and research to protect the integrity of public information spaces and state resilience in the digital age. Full article

Researching the question of how the Roman Catholic Church (RCC), and by extension other institutional systems, respond or do not respond to the lived reality of abuse and its cover-up cannot be done without seeking to understand the underlying issue: What is the RCC responding (or not responding) to? One elucidating and perhaps surprising answer lies in the little and often misunderstood word vulnerability. Vulnerability, most probably counter-intuitively, has in fact the power to enhance violence or to reverse its destructive influence. This thought forms the basis for an exploration into what Professor Dr. Hildegund Keul has named the vulnerability and expenditure paradox. The logic in both of them seems understandable and straightforward. Yet, when genuinely understood, they are unsettling. They reveal an uncomfortable dilemma, a reality check and, ultimately, a choice as the paradox raises the rather earthly question: do we attempt to cheat death and therefore lose life, or do we opt for “creation through loss”? The first might, though linked to violence, lead to a feeling of security and invulnerability. The second exemplifies the passion of authentic suffering, humility and identity dependence. From a Christian perspective, it is the incarnation of love. Full article

The novelty of this article lies in the fact that we extend the use of a multistep method for developing a sequence whose limit solves a Banach space-valued equation. We suggest the error estimates, local convergence, and semi-local convergence, a radius of convergence, the uniqueness of the required solution that can be computed under $\omega$-continuity, and conditions on the first derivative, which is on the method. But, earlier studies used high-order derivatives, even though those derivatives do not appear in the body structure of the proposed method. In addition to this, they did not propose computable estimates and semi-local convergence. We checked the applicability of our study to three real-life problems for semi-local convergence and two problems chosen for local convergence. Based on the obtained results, we conclude that our approach improves its applicability and makes it suitable for challenges in applied science. Full article

Contemporary discussions about the application of artificial intelligence in newsrooms are commonplace because of the unique opportunities it presents for news media. This study investigated the intricate relationship between journalism and AI with the broad research question: How are journalists adopting AI technologies and what challenges and opportunities do such technologies present to them? Eighteen journalists practising in Ghana and South Africa were interviewed through qualitative research techniques. Transcribed interview data were analysed thematically using the data analysis method proposed by Charmaz. The findings were that most newsrooms in the two countries have not formally incorporated AI tools into newsroom practices. However, journalists use AI tools at their discretion in a non-complex manner, such as transcription, research, generating story ideas, and fact-checking. Practical limitations to the formal integration of AI technology into newsroom operations include cost, language barrier, and aversion to change. Although participants recognised the advantages of employing AI for newsroom tasks, they were also concerned about the ethical quandaries of misinformation, improper attribution, and intellectual property. Participants also thought that fact-checking and mindfulness regarding ethical usage might increase ethical AI usage in newsrooms. This study adds an important perspective on AI’s role in African journalism, addressing the obstacles and ethics concerns. Full article

Patients with liver cirrhosis, due to their weakened innate and adaptive immunity, are more prone to frequent and severe vaccine-preventable infections. Moreover, impaired adaptive immunity results in a limited antibody response to vaccines. Despite this suboptimal antibody response, vaccines have proven to be very effective in reducing severe outcomes and deaths in these patients. In the Western world, regulatory authorities and scientific liver societies (e.g., AASLD and EASL) have recommended vaccinations for cirrhotic patients. However, despite these strong recommendations, vaccine coverage remains suboptimal. Improving vaccine effectiveness and safety information, providing comprehensive counseling to patients, fact-checking to combat fake news and disinformation and removing barriers to vaccination for disadvantaged individuals may help overcome the low coverage rate. In view of this, vaccines should be administered early in the course of chronic liver diseases, as their efficacy declines with the increasing severity of the disease. Full article

There is a pressing need for healthcare conversational agents with domain-specific expertise to ensure the provision of accurate and reliable information tailored to specific medical contexts. Moreover, there is a notable gap in research ensuring the credibility and trustworthiness of the information provided by these healthcare agents, particularly in critical scenarios such as medical emergencies. Pilgrims come from diverse cultural and linguistic backgrounds, often facing difficulties in accessing medical advice and information. Establishing an AI-powered multilingual chatbot can bridge this gap by providing readily available medical guidance and support, contributing to the well-being and safety of pilgrims. In this paper, we present a comprehensive methodology aimed at enhancing the reliability and efficacy of healthcare conversational agents, with a specific focus on addressing the needs of Hajj pilgrims. Our approach leverages domain-specific fine-tuning techniques on a large language model, alongside synthetic data augmentation strategies, to optimize performance in delivering contextually relevant healthcare information by introducing the HajjHealthQA dataset. Additionally, we employ a retrieval-augmented generation (RAG) module as a crucial component to validate uncertain generated responses, which improves model performance by 5%. Moreover, we train a secondary AI agent on a well-known health fact-checking dataset and use it to validate medical information in the generated responses. Our approach significantly elevates the chatbot’s accuracy, demonstrating its adaptability to a wide range of pilgrim queries. We evaluate the chatbot’s performance using quantitative and qualitative metrics, highlighting its proficiency in generating accurate responses and achieve competitive results compared to state-of-the-art models, in addition to mitigating the risk of misinformation and providing users with trustworthy health information. Full article

Based on the nucleotide sequences of the mitochondrial genome (mitogenome) of specimens taken from two mussel species (Arcuatula senhousia and Mytilus coruscus), an investigation was performed by means of the complex approaches of the genomics, molecular phylogenetics, and evolutionary genetics. The mitogenome structure of studied mussels, like in many other invertebrates, appears to be much more variable than in vertebrates and includes changing gene order, duplications, and deletions, which were most frequent for tRNA genes; the mussel species’ mitogenomes also have variable sizes. The results demonstrate some of the very important properties of protein polypeptides, such as hydrophobicity and its determination by the purine and pyrimidine nucleotide ratio. This fact might indirectly indicate the necessity of purifying natural selection for the support of polypeptide functionality. However, in accordance with the widely accepted and logical concept of natural cutoff selection for organisms living in nature, which explains its action against deleterious nucleotide substitutions in the nonsynonymous codons (mutations) and its holding of the active (effective) macromolecules of the polypeptides in a population, we were unable to get unambiguous evidence in favor of this concept in the current paper. Here, the phylogeny and systematics of mussel species from one of the largest taxons of bivalve mollusks are studied, the family known as Mytilidae. The phylogeny for Mytilidae (order Mytilida), which currently has no consensus in terms of systematics, is reconstructed using a data matrix of 26–27 mitogenomes. Initially, a set of 100 sequences from GenBank were downloaded and checked for their gender: whether they were female (F) or male (M) in origin. Our analysis of the new data confirms the known drastic differences between the F/M mitogenome lines in mussels. Phylogenetic reconstructions of the F-lines were performed using the combined set of genetic markers, reconstructing only protein-coding genes (PCGs), only rRNA + tRNA genes, and all genes. Additionally, the analysis includes the usage of nucleotide sequences composed of other data matrices, such as 20–68 mitogenome sequences. The time of divergence from MRCA, estimated via BEAST2, for Mytilidae is close to 293 Mya, suggesting that they originate in the Silurian Period. From all these data, a consensus for the phylogeny of the subfamily of Mytilinae and its systematics is suggested. In particular, the long-debated argument on mussel systematics was resolved as to whether Mytilidae, and the subfamily of Mytilinae, are monophyletic. The topology signal, which was strongly resolved in this paper and in the literature, has refuted the theory regarding the monophyly of Mytilinae. Full article

Recent evidence shows that it is possible to identify the elements responsible for sensorineural hearing loss, such as pro-inflammatory cytokines and macrophages, by performing perilymph sampling. However, current studies have only focused on the diagnosis of such as otologic conditions. Hearing loss is a feature of certain neuroinflammatory disorders such as multiple sclerosis, and sensorineural hearing loss (SNHL) is widely detected in Alzheimer’s disease. Although the environment of the inner ear is highly regulated, there are several communication pathways between the perilymph of the inner ear and cerebrospinal fluid (CSF). Thus, examination of the perilymph may help understand the mechanism behind the hearing loss observed in certain neuroinflammatory and neurodegenerative diseases. Herein, we review the constituents of CSF and perilymph, the anatomy of the inner ear and its connection with the brain. Then, we discuss the relevance of perilymph sampling in neurology. Currently, perilymph sampling is only performed during surgical procedures, but we hypothesize a simplified and low-invasive technique that could allow sampling in a clinical setting with the same ease as performing an intratympanic injection under direct visual check. The use of this modified technique could allow for perilymph sampling in people with hearing loss and neuroinflammatory/neurodegenerative disorders and clarify the relationship between these conditions; in fact, by measuring the concentration of neuroinflammatory and/or neurodegenerative biomarkers and those typically expressed in the inner ear in aging SNHL, it could be possible to understand if SNHL is caused by aging or neuroinflammation. Full article

In steel tied arch bridges where the hangers are made of rigid bars, the replacement of damaged hangers is rather complex. In fact, while generally the cable hangers are already prepared with anchors at the ends and their replacement traces the initial stages of construction with their prestressing, on the contrary, the rigid bars are welded to the arch and the deck, so their replacement must include the design of a new suspension system that allows the insertion of a pretension where this had never been considered. To check the reliability of this new system, a prototype of tensioner was studied for the case of a steel arch bridge in which the high level of corrosion made it necessary to replace all the original hangers with new ones. This entailed the need to test the tensioner performance with the aim of ensuring the axial force transmission between the two hanger segments without slippage in the threads, as well as to test the correct tension setting before construction and putting into service the hangers to be replaced. For this reason, a predictive experimental campaign was carried out on a prototype by means of tests for the mechanical characterization of the materials used, tensile tests of the system, and tensioning tests under load, measuring the displacements and strains of the system elements. The results of the tests, with slippage in the threads limited to the 2% of total elongation, and the turnaround-stressing curves were useful for the definition of the pieces to be assembled during on-site work and for addressing the operating procedures of the tensioning phases on-site during hanger replacement. Validation with the on-site monitoring of stressing operation was conducted at the end; the monitoring of tension through dynamic tests confirmed the agreement of on-site results with the predictive loading tests of the experimental campaign on the tensioner prototype. Full article

The surge of disinformation in the digital sphere following the COVID-19 pandemic presents a considerable threat to democratic principles in contemporary societies. In response, multiple fact-checking platforms and citizen media literacy initiatives have been promoted. The fact checker has indeed become a new professional profile demanded by the sector. In this context, this research delves into the study of digital skills applied to information verification by journalism students. Adopting a comprehensive understanding of digital skills that extends beyond technical proficiency to encompass a shift in mindset, journalism students’ perceptions of their verification abilities are examined using a quantitative survey technique. This examination is based on an original list of competencies prepared specifically for this study. The results indicate that journalism students demonstrate awareness of the implications of disinformation, exhibiting scepticism towards content from unfamiliar sources or displaying clear signs of deceptive intent. Furthermore, they emphasise the importance of verification and fact-checking practices and express confidence in their proficiency in analysis, critical thinking, and social skills. However, their confidence in handling computer applications for verification and specialisation in data journalism is comparatively lower. Notably, significant gender disparities were observed in these areas, with women exhibiting greater confidence in social skills, collaborative work, and innovation, while men displayed a heightened proficiency in computer applications. Consequently, there is a need for improvements in teaching practices, which could potentially create new job opportunities for journalism students. Full article

In this article, we contend that understanding Brazil’s current communicative landscape requires a closer examination of the relevance of legacy media outlets, challenging the widely accepted “traditional media bypass” thesis, which posits that social media platforms have overtaken traditional media as the primary influencers of political discourse, an argument often used to explain the rise of extreme-right ideologies across different national contexts. In order to test the association between voting preferences and the use of different types of media, we employ logistic regression analysis using data from a recent survey that includes numerous questions about the information and media consumption habits of Brazilian voters. Our findings highlight that legacy media, particularly broadcast TV channels like Globo, Record, and SBT, remain dominant in Brazil as sources of political information. Contrary to the bypass thesis, Bolsonaro’s supporters, while favoring social media, also consume significant amounts of legacy media. Analysis reveals stark differences in media preferences between the supporters of different political candidates, challenging the notion of an exclusive reliance on social media by right-wing supporters. The data also indicate nuanced media consumption habits, such as a preference for certain TV channels and fact-checking behaviors, underscoring the complex interplay between legacy and social media. Full article

This research aims to analyse the work of two international information verification agencies on TikTok—MediaWise and Politifact—according to their evolution, approach, content, and format. To this end, a quantitative approach has been used with an inductive content analysis with nominal variables, which offers specific nuances adapted to the unit of analysis. In a first phase, an empirical analysis was carried out, focusing on the measurement and quantification of the number of publications and interactions of the audience, from the time Fthey started operating on this platform until 31 December 2023. The total number of posts extracted was N > 704, which generated N > 4,166,387 user responses. In a second phase, an in-depth content analysis of all the posts published by these two agencies in four months (October and November 2021 and October and November 2023) was carried out, allowing us to analyse their evolution, but also to compare the two agencies in terms of approach, themes, and style. The most important findings show that both agencies adapt the style and narratives to this social network through the use of dynamic resources, a casual and informal tone, and elements of humour. In addition, both contribute to public reason through different strategies: MediaWise focuses on media literacy and Politifact on verification, using resources, effects and content in line with that purpose. Finally, we observe a downward evolution in terms of reach and impact on the audience, as well as a lower dynamism in 2023 than in 2021, which opens the door to future lines of explanatory research that delve deeper into possible causes. Full article