Search Results (23)

Public transportation systems play a vital role in modern cities, but they face growing security challenges, particularly related to incidents of violence. Detecting and responding to violence in real time is crucial for ensuring passenger safety and the smooth operation of these transport networks. To address this issue, we propose an advanced artificial intelligence (AI) solution for identifying unsafe behaviours in public transport. The proposed approach employs deep learning action recognition models and utilises technologies like NVIDIA DeepStream SDK, Amazon Web Services (AWS) DirectConnect, local edge computing server, ONNXRuntime and MQTT to accelerate the end-to-end pipeline. The solution captures video streams from remote train stations closed circuit television (CCTV) networks, processes the data in the cloud, applies the action recognition model, and transmits the results to a live web application. A temporal pyramid network (TPN) action recognition model was trained on a newly curated video dataset mixing open-source resources and live simulated trials to identify the unsafe behaviours. The base model was able to achieve a validation accuracy of 93% when trained using open-source dataset samples and was improved to 97% when live simulated dataset was included during the training. The developed AI system was deployed at Wollongong Train Station (NSW, Australia) and showcased impressive accuracy in detecting violence incidents during an 8-week test period, achieving a reliable false-positive (FP) rate of 23%. While the AI correctly identified 30 true-positive incidents, there were 6 cases of false negatives (FNs) where violence incidents were missed during the rainy weather suggesting more data in the training dataset related to bad weather. The AI model’s continuous retraining capability ensures its adaptability to various real-world scenarios, making it a valuable tool for enhancing safety and the overall passenger experience in public transport settings. Full article

This work presents an in-depth evaluation of the telecommunications landscape in Mexico from 2015 to 2023. The study’s primary focus is on the disparities in broadband access, telecommunications infrastructure, and digital inclusion across various regions, particularly between urban and rural areas. By employing predictive models and correlation analysis, the paper identifies key factors influencing technology adoption and service bundling in households. A significant contribution of this research lies in its identification of strong correlations between broadband access, GDP growth, and the penetration of multiple telecommunication services such as fixed telephony, broadband internet, and television. The predictive models developed offer crucial insights into the regional inequalities of digital access, revealing patterns that policymakers can use to prioritize infrastructure investments. The findings underscore the essential role of public policy innovation in promoting digital inclusion, particularly in underdeveloped regions, and provide a robust analytical framework for understanding how advanced telecommunications services contribute to socio-economic development. Through this analytical approach, the study demonstrates the critical relationship between telecommunications infrastructure and regional economic performance, offering data-driven recommendations to bridge the digital divide and enhance connectivity in underserved areas. The results offer significant value for future research and policy initiatives aimed at fostering equitable access to Information and communication technologies, promoting economic growth, and ensuring broader societal inclusion in the digital age. Full article

Media self-censorship related to war and military conflict is usually analysed by evaluating the journalistic practices of the countries involved in the war. The objective of this study is to explore how the self-censorship of Latvian public service media (Latvian Radio and Latvian Television) employees developed in response to changes in the internal socio-political discourse after Russia’s full-scale invasion in Ukraine, because of which the Latvian PSM found themselves in the crossfire of long-term criticism and attacks by politicians and audience representatives. Employing semi-structured interviews and qualitative content analysis, this study analyses the perception of self-censorship at all levels (journalists, producers, programme hosts, editors) (15 informants), factors that influence the development of self-censorship, informants’ coping strategies, and the impact of self-censorship on PSM content (78 items of content on various channels and platforms). The conceptual framework of this study is based on Bourdieu’s field theory and Spiral of Silence Theory, exploring how self-censorship affects journalists’ professional habitus, social capital, and agency. The results of this study show that, although Latvia is not involved in the nearby war, politician- and audience member-driven self-censorship affects PSM platforms’ daily agenda, source selection, and editorial line, reducing the diversity and pluralism of PSM content. Full article

The public service media Radio Televisión Española (RTVE) conducted a proof-of-concept study to automatically generate reports on the results of the local elections of 28 May 2023 in Spanish communities with fewer than 1000 inhabitants. This study describes the creation, testing and application of the methodological tool used to evaluate the quality of the reports generated using artificial intelligence in order to optimize the algorithm. The application of the proposed datasheet provided a systematic analysis, and the iterative use of the tool made it possible to gradually improve the results produced by the system until a suitable threshold was reached for publication. The study also showed that, despite the ability of AI systems to automatically generate a large volume of information, both human labour and the reliability of the data that feed the system are essential to ensure journalistic quality. Full article

Public service media (PSM) are grappling with structural shifts in the audio-visual sector, notably the shift of audiences towards over-the-top (OTT) or subscription video-on-demand (SVOD) services. They have also heavily invested in online platforms, adapting their policies to engage digital users on their video-on-demand (VOD) platforms. This paper assesses PSM policies in Britain, Denmark, and Greece, examining initiatives regarding adaptation to the digital era. It explores whether they implement new strategies to expand their digital reach. Data from policy documents and interviews with BBC, DR, and ERT leading executives inform the analysis. Findings showed varied responses among PSM organisations, influenced by market dynamics and the evolution of broadcasting traditions. Full article

Technological innovation is transforming local public media. New tools, applications, and platforms are allowing it to improve its reach, the quality of the content it broadcasts, and its interaction with audiences. We set out to determine the main lines of action in the technological innovations adopted by Spanish regional public service media. We conducted a qualitative study based on corporate documentary analysis and in-depth interviews with the heads of the innovation and technological support areas of the four regional corporations with the largest budgets: Corporación de Radio y Televisión de Galicia (CRTVG), Euskal Irrati Telebista-Radio (EiTB), Corporació Catalana de Mitjans Audiovisuals (CCMA), and Radio y Televisión de Andalucía (RTVA). The results showed that, without neglecting their social commitment, technological innovation was one of the main axes in the strategic plans of the organisations studied. The use of new technologies in their adaptation to the current audiovisual ecosystem represents changes in creation, distribution, and management. Full article

With the emergence of technology, the usage of IoT (Internet of Things) devices is said to be increasing in people’s lives. Such devices can benefit the average individual, who does not necessarily have to have technical knowledge. The IoT can be found in home security and alarm systems, smart fridges, smart televisions, and more. Although small Internet-connected devices have numerous benefits and can help enhance people’s efficiency, they also can pose a security threat. Malicious actors often attempt to find new ways to exploit and utilize certain resources, and IoT devices are a perfect candidate for such exploitation due to the huge volume of active devices. This is particularly true for Distributed Denial of Service (DDoS) attacks, which involve the exploitation of a massive number of devices, such as IoT devices, to act as bots and send fraudulent requests to services, thus obstructing them. To identify and detect whether such attacks have occurred or not in a network, there must be a reliable mechanism of detection based on adequate techniques. The most common technique for this purpose is artificial intelligence, which involves the use of Machine Learning (ML) and Deep Learning (DL) to help identify cyberattacks. ML models involve algorithms that use structured data to learn from, predict outcomes from, and identify patterns. The goal of this paper is to review selected studies and publications relevant to the topic of DDoS detection in IoT-based networks using machine-learning-relevant publications. It offers a wealth of references for academics looking to define or expand the scope of their research in this area. Full article

The recent COVID-19 health crisis has shone a spotlight on disinformation as the circulation of false information became more and more prominent. What the World Health Organization (WHO) has defined as an ‘infodemic’ poses a great risk for democracies and for society in general. In this context, public television channels, with their regional scope, actively participate in the fight against misinformation. This research aims to identify and classify the different verification initiatives and technological tools, as well as the different strategies and codes used in fact-checking tasks by European broadcasters belonging to the CIRCOM network. The methodology undertakes an exploratory approach and employs a questionnaire that is applied to a sample of the members of the network. Managers and professionals with executive profiles were asked about the management, operation and strategies used in the verification process. In light of the results obtained, it can be concluded that the current verification processes are based on human efforts, rather than technological tools, amounting to a total dependence on content curation by the writing teams in the newsroom. Thus, it is evidenced that in most cases, there is neither a specific department for verification, nor sufficient resources, despite the fact that all those surveyed regard disinformation as a priority issue, a threat to democratic integrity and a responsibility of public service media. Full article

Increasingly, public health programs are recommending the use of information and communication technologies to address the psychosocial needs of Older Adults (OAs). Recently, several applications that allow access to communication and stimulation functionalities using digital interactive television (DiTV) have been developed. The use of the television interface to access digital services seems to help meet several accessibility and usability needs of OAs. However, its use entails other challenges related to different dimensions (organizational, technological, ethical, etc.). This study aims to identify the factors that enable or hinder the use of DiTV by OAs living in geriatric institutions. A qualitative interview case study was conducted in three French geriatric facilities. A total of 25 semi-structured interviews were carried out with residents and care professionals, between February and April 2022, to identify enablers and barriers to DiTV use. Data were processed using a thematic deductive analysis inspired by a multidimensional Health Technology Assessment model. The analysis showed that DiTV use may be limited by organizational (e.g., workload), technological (e.g., ergonomic issues), human (e.g., health issues), ethical (e.g., privacy), and safety factors (e.g., frustration due to technical problems). A summary of these factors and five recommendations for DiTV implementation in geriatric settings are presented in this paper. Full article

During the pandemic, the elderly population was the most exposed to disease and changes in their daily lives. The objective was to determine the association between demographic factors, access to health services, sources of information, and physical symptoms in the mental health of the elderly during the COVID-19 pandemic—a study with 3828 older adults residing in nine cities in Peru. The data was collected using a web-based survey, and the instruments of demographic data; exposure to information (radio, television, and internet); and presence of physical symptoms, anxiety, and perceived stress were used. Descriptive and analytical analysis was performed. Female sex, those aged between 60 and 79 years old, those with secondary education, those in their own home, those residing in an urban area, and those using public services of health predominated in this study. Likewise, 62.9% presented depressive symptoms; on the stress scale, an average of 27.81 (SD = 8.71), and on the anxiety scale, an average of 27.24 (SD = 6.04). Moreover, 65.1% reported fatigue, 62.2% had a headache, and 61.2% lack of energy. There is an association between demographic variables and the physical and psychological symptoms of stress, anxiety, and depressive symptoms in the elderly during the pandemic. Full article

Data concerning overweight and obesity in children and adolescent populations are alarming and represent one of the most serious public health problems of our time. Moreover, it is demonstrated that the school environment may play an important role in health promotion with regard to nutritional aspects. This article reports the results of a study conducted in the Apulia region (Southern Italy), aimed at providing an integrated surveillance of the behaviors related to nutrition habits in students and the hygienic and nutritional conditions of the school’s canteens attended by enrolled students. To this purpose, a sample of 501 students attending primary school (third class—children approximately eight years old) replied to a validated questionnaire, and official controls (OC), of both food and nutritional safety, were performed in 22 primary schools. A team of healthcare professionals carried out the study, and the implementation of all the prescribed improvement actions were subsequently verified through follow-up OC. The results of our study show a critical situation in the student sample, with 41.3% of children having a weight excess (overweight or obesity). With regard to the children’s behaviors, only 59.8% of children ate at least one fruit or had a fruit juice for breakfast, and 10.8% did not have breakfast at all. Overall, 40.1% of the total children played outdoors the afternoon before the survey and 45% reported going to school on foot or by bicycle. During the afternoon, 83.5% of the sample watched television or used video games/tablets/mobile phones, while 42.3% played sports. The schools had an internal canteen with on-site preparation of meals in 36.4%, the remaining 63.6% received meals from external food establishments. With regard to OC, for the hygienic–sanitary section, eleven prescriptions were issued, in the great part related to the structure and organization of the canteen. For the nutritional section, nine corrective actions were prescribed, mainly related to official documents and management. The follow-up OC showed that all prescriptions were subsequently addressed. Eating at school was less frequent among obese and overweight students compared with those with normal weight. Although this evidence needs to be further confirmed, it highlights the potential role that the school canteens may play in health promotion and prevention of nutritional disorders. On the other hand, in order to fulfill its health promotion task, the school canteens have to comply with official regulations and guidelines; therefore, OC during the management of the food service at school are needed. Full article

The Internet of Things environment (e.g., smart phones, smart televisions, and smart watches) ensures that the end user experience is easy, by connecting lives on web services via the internet. Integrating Internet of Things devices poses ethical risks related to data security, privacy, reliability and management, data mining, and knowledge exchange. An adversarial machine learning attack is a good practice to adopt, to strengthen the security of text-based CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), to withstand against malicious attacks from computer hackers, to protect Internet of Things devices and the end user’s privacy. The goal of this current study is to perform security vulnerability verification on adversarial text-based CAPTCHA, based on attacker–defender scenarios. Therefore, this study proposed computation-efficient deep learning with a mixed batch adversarial generation process model, which attempted to break the transferability attack, and mitigate the problem of catastrophic forgetting in the context of adversarial attack defense. After performing K-fold cross-validation, experimental results showed that the proposed defense model achieved mean accuracies in the range of 82–84% among three gradient-based adversarial attack datasets. Full article

The outbreak of coronavirus disease 2019 (COVID-19) has greatly threatened the global health system and triggered the public health emergency. In order to manage the COVID-19 pandemic, healthcare and prevention information have been delivered through omni-media channels (e.g., television, radio, social platform, etc.). As a traditional outlet, the short message service (SMS) can timely provide abundant anti-epidemic alerts to mobile users. In this paper, we aim to investigate mobile users’ attitudes toward COVID-19 public-interest SMS sent from government authorities and then explore the insight from messaging texts collected between January and April 2020 in China. In general, respondents show a positive attitude towards content and the necessity of public-interest SMS during the pandemic. However, we find that gender and age differences not only affect content evaluation, but also influence reading and forwarding behaviors. For the necessity of SMS, it shows significant difference between the 18–25-year-old and over 40-year-old group, with the middle and elder group showing serious attitudes and giving higher remarks than the youth due to the habits of media usage. However no significant difference is presented between females and males. In terms of content, the category of topics and releasing institutions are analyzed, respectively. Due to the centralized responses and coordination of prevention and control in China, the messages from COVID-19 disposal organizations (e.g., municipal steering group and provincial CDC) account for more than 70% among four cities. Full article

Over the last few years, European public broadcasters have promoted the concept of public service media as one of their main values. To this end, transparency policies have been implemented as a mechanism of corporate projection by strengthening their role as an essential service. The objective of this article is to ascertain the existence of this type of policies among European public broadcasters. To this end, a nominal group was made with 24 experts who were surveyed, thus generating new indicators of transparency and accountability strategies around sustainability and digitalization. The contents of the websites of RTVE (Spain), RTP (Portugal), France TV (France), RAI (Italy), BBC (UK), RTÉ (Ireland), ZDF (Germany), VRT (Belgium), and SVT (Sweden) were also analyzed, paying attention to such indicators and strategies. The main results include the identification of differences on the basis of the ideal models described by Hallin and Mancini; a commitment to credibility (fact-checking) to the detriment of diversity of opinions; and a connection between the political system and the media system, which, preliminarily, determines the level of transparency of these public entities. Full article

Societies have benefited directly and indirectly from ecosystem services provided by insects for centuries (e.g., pollination by bees and waste recycling by beetles). The relationship between people and insect ecosystem services has evolved and influenced how societies perceive and relate to nature and with each other, for example, by shaping cultural values (‘cultural ecosystem services’). Thus, better understanding the significance of insect cultural services can change societies’ motivations underpinning conservation efforts. To date, however, we still overlook the significance of many insect cultural services in shaping our societies, which in turn likely contributes to the generalised misconceptions and misrepresentations of insects in the media such as television and the internet. To address this gap, we have reviewed an identified list of insect cultural services that influence our societies on a daily basis, including cultural services related to art, recreation, and the development of traditional belief systems. This list allowed us to formulate a multi-level framework which aims to serve as a compass to guide societies to better appreciate and potentially change the perception of insect cultural services from individual to global levels. This framework can become an important tool for gaining public support for conservation interventions targeting insects and the services that they provide. More broadly, this framework highlights the importance of considering cultural ecosystems services—for which values can be difficult to quantify in traditional terms—in shaping the relationship between people and nature. Full article