Web Content Analysis Research Articles

Ecomuseums in the Mediterranean Area and the Promotion of Sustainable Food Systems

In recent years, the growing interest in food as a central component of heritage preservation has been paired with a reflection on the sustainability of food systems. At the same time, place-based food governance has undergone processes of hybridization, opening up to a wider range of stakeholders. We argue that ecomuseums can positively contribute to the promotion of sustainable food systems that can preserve cultural heritage without undermining the development of healthy food systems. To discuss this hypothesis, we conducted an exploratory study to assess the current diffusion and food-related practices of ecomuseums in the Mediterranean area. Integrating the information of existing databases with online research of new institutions, we mapped a large sample of ecomuseums and carried out a Web Content Analysis. The main results of the research are a geolocalized map of Mediterranean ecomuseums and their activities and an index assessing their capacity to engage users on relevant topics through their webpages. The results highlight the existence of an unbalanced distribution of experiences, and the potential for growth, especially in the east and south of the Mediterranean countries.

An Ethical Analysis of the Online Content of Assisted Reproductive Technology Centers in Bangladesh.

Assisted reproductive technologies (ARTs) have become a widely utilized medical technology for treating infertility worldwide. However, societies and countries have applied these technologies in accordance with their cultural practices and belief systems. This paper presents an overview of ART providers in Bangladesh and analyzes their online content in addressing potential infertile couples. Examining the topic within the context of socio-economic and public health challenges in Bangladesh, particularly overpopulation, poverty, and lack of education, the research conducted a web content analysis of ART providers in Bangladesh from July 1 to September 1, 2023. Twenty active ART providers were identified using Google searches and an exploratory key. The analysis considered locations, landing page information, ethical standards, quality certification, foreign affiliations, and success rates. The findings revealed a concentration of centers in urban areas, raising concerns about equitable access. The absence of regulation and guidelines, coupled with the lack of ART clinic registration, highlighted potential risks to patient well-being. Landing page statements utilized highly emotive language and ambiguous terms, raising ethical concerns. The absence of explicit mention of quality standards, including ISO 9001:2000 certification, indicated potential gaps in transparency. Foreign affiliations were employed for credibility, raising concerns of misleading advertising. Limited and ambiguous reporting of success rates posed challenges for informed decision-making. Evident exploitative and commercialized practices raised concerns about potentially commodifying reproductive services. The study emphasizes the need for regulatory frameworks, transparency in reporting, adherence to ethical advertising, and increased cultural sensitivity to enhance the ethical standards of ART providers in Bangladesh.

Women Education During Crisis: How Do Cosmetic and Health Industries Educate Women for Covid-19 Resilience and Provide Basis for Mitigation Education?

COVID-19 virus has been putting many people's health in peril and causing social anxiety, insecurity, and mayhem. It has become a public enemy. Collaboration between all sectors and community involvement are required to control the spread and negative effects of COVID-19. The beauty industry has emerged as one of several crucial sectors in the fight against COVID-19 Because they can make hand sanitizers, cleansers, hand gel, and lotions in large quantities that can protect the community and encourage community to stay healthy. This research explores the roles played by some locally produced beauty products in Indonesia in empowering women and girls to protect themselves from COVID-19. The study uses qualitative research methods. It examines ten cosmetics companies and incorporates interpretative analysis and web content analysis. The study examines the data from the perspective of community education and humanities. According to the study, the beauty industries typically employ three major strategies to educate their female and young girl customers. The first educational strategy is promoting self-health protection to make wellness and health goods. The second approach involves teaching women new healthy routines, safe, healthy makeup practices, and strict mask wearing and health plan implementation. The third strategy involves taking part in social educational activities that support and promote social skills among women and girls, such as empathy, care, and support. The study shows that women education is not only the responsibility of educational institutions, but also the business or industries sectors.

Social innovation for inclusion and sustainable development: a case study on BRAC institute of skills development (BISD)

PurposeThe paper aims to understand the stages of the social innovation process and how it can be used for sustainable development.Design/methodology/approachThis single case study used multiple sources, especially data from extensive field visits and selective in-depth interviews. Direct observation, web content analysis, journals, annual reports and news articles were also used.FindingsThe findings show that BRAC institute of skills development (BISD) adopted a unique formula for the social innovation process: problem identification, new idea, design prototype, pilot, perfect and scale up. This study also finds that BISD has a significant socio-economic impact in Bangladesh. The impacts of BISD are associated with several United Nations (UN) Sustainable Development Goals (SDGs), including SDG 1 on poverty, SDG 4 on inclusive learning, SDG 5 on gender equality and women empowerment, SDG 8 on decent work and economic growth and SDG 16 on social inclusion.Practical implicationsThe discussions of this study ultimately pave a clear roadmap for policymakers, practitioners and academics to improve mechanisms for sustainable development through social innovations in emerging countries.Originality/valueThis paper provides a practical application of the social inclusive innovation process theory by which vocational training institutes can scale their sustainable impact. More knowledge is needed on how organisations can implement social innovation projects in emerging countries. This paper provides exploratory evidence to fill this gap. It demands a promising area of interest to investigate further research on the compatibility of social innovation in skills development programmes to gear up the status of an underprivileged community.

WCA: Integration of Natural Language Processing Methods and Machine Learning Model for Effective Analysis of Web Content to Classify Malicious Webpages

Malicious websites have become a pervasive concern in the digital realm, targeting careless users as well as organizations. It may result in substantial financial losses, identity theft, data intrusions, and damage to reputation. In order to create efficient countermeasures, it is crucial to comprehend the effects of interacting with such websites. There are several ways to classify malicious webpages. Web content analysis is one such way for protecting internet users from malicious activities. It entails analysing websites to identify potential hazards, such as phishing attempts, malware distribution, and fraudulent activities. Traditional methods relied on rule-based systems, but recent advances in natural language processing and machine learning have opened up new avenues for increasing the precision and scalability of web content analysis to classify malicious webpages. Most of the exciting research work focuses more on URL alone for risk free processing. This paper introduces novel method for analysing web contents especially textual contents of the webpages for classification. Among various tags in web technology, proposed method focuses on div, paragraph and meta tags. The textual contents of these tags are extracted and vectorized using three different vectorizers in natural language processing and classify the webpages using machine learning models. Seven different machine learning models are used for performance evaluation. The result shows that a combined textual content of three distinct tags with count vectorizer + random forest achieves the higher accuracy of 93.46% with 1000 features.

Web Content Analysis of Autonomous College Libraries in Mumbai

Web Content Analysis of Autonomous College Libraries in Mumbai

A taxonomy of innovation spaces from the innovation networks lens

Collaborative innovation addresses intricate, multifaceted problems of a systemic nature involving a multitude of actors with diverse and often unknown expectations. To facilitate this collaboration, innovation spaces—such as Makerspaces, Hackerspaces, Fablabs, among others—have emerged as arenas where networks of actors interconnect and solidify. Understanding the diverse nature of these innovation spaces poses a challenge, particularly in distinguishing their specific characteristics and assessing how each contributes to fostering innovative networks. This article aims to address the question: how can we classify innovation spaces based on the innovation networks they constitute? To tackle this query, we initially conducted an in-depth exploration of various innovation spaces through web content analysis, scrutinizing their individual value propositions. Subsequently, employing innovation network theory alongside domain analysis methodology, we proposed a taxonomy designed to classify the distinct types of innovation spaces under scrutiny. Our taxonomy reveals three types of spaces—learn-and-explore, partner-and impact, and transitory—as well as convergent and divergent spaces, showing the diversity and complexity of networks they constitute. The findings also show that while the majority of innovation spaces unite diverse actors to drive collaboration and innovation, many resulting networks have a medium level of formality and are project-centric. These networks tend to be synthetic in nature, seeking to apply existing knowledge, and represent exploration networks wherein the adaptability and diversity of initiatives foster learning, the acquisition of new knowledge, and the development of fresh capacities through interactions.

Culinary tourism: exploring cultural diplomacy through gastronomy festivals in Turkey and Italy

PurposeThe primary objective of this research is to draw a comparative analysis between Turkey and Italy in terms of how festival events function as catalysts for the endorsement of regional culinary delicacies. The study endeavours to elucidate the role of these festivals in fortifying the regional gastronomic landscape of both nations.Design/methodology/approachAdopting a comprehensive comparative methodology, this study meticulously scrutinises the gastronomy festivals spanning diverse geographical locales in both Turkey and Italy. Consideration is given to the standout food and beverage items spotlighted at these events and the venues where they are hosted. The research design takes into account the extensive cultural and geographical spectrum that characterises Turkey and Italy. The primary research method comprises web content analysis techniques. This method involves analysing textual data from online sources pertaining to gastronomy festival events in both countries. Web content analysis is instrumental in evaluating how such festivals are deployed in promoting indigenous gastronomic products and exploring the intricate dynamics between brand identity and brand image.FindingsThe research outcomes underscore the pivotal role that festival events play in elevating regional gastronomic products' profile in Turkey and Italy. It highlights the top 10 festivals and the most popular local culinary items on digital platforms. Additionally, the study offers a side-by-side comparison of the most celebrated gastronomic products in Turkey versus those that receive prominence in Italy.Originality/valueThis study enriches academic understanding by dissecting the nuances of how festivals contribute to the promotion of local gastronomic treasures. By juxtaposing Turkey and Italy, this research provides valuable insights into the influence of festivals on regional culinary promotion across diverse cultural milieus. This study makes substantial contributions to the fields of gastronomy, tourism, and brand promotion.

Unleashing the power of AI: a systematic review of cutting-edge techniques in AI-enhanced scientometrics, webometrics and bibliometrics

PurposeThe study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.Design/methodology/approachBy conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.Findings(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.Originality/valueThis study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

Digital Health, Telemedicine, and Patient-centeredness: New Trends for Italian Healthcare after COVID-19

The Covid-19 pandemic is generating disruptive changes in the healthcare sector, drastically transforming the functioning of its organizational arrangements. In the light of recent developments and the adoption of new digital technologies in the healthcare system, we aim at exploring new trends adopted within the Italian healthcare setting in response to the pandemic crisis. Specifically, through the methodology of Web Content Analysis, it is possible to identify the most relevant emerging healthcare responses to the Covid-19 pandemic, that is digital health, telemedicine, and patient-centeredness, that suggest a roadmap to follow within the healthcare system. Implications for theory and practice are discussed.

Blood Donor Incentives across 63 Countries: The BEST Collaborative Study

Incentives for blood donors are a much-debated strategy intended to ensure a sufficient supply of blood. Yet, there is a fundamental lack of knowledge about which incentives are offered by different blood collectors. We provide a comprehensive description of incentive policies for whole blood donors across 63 countries and 50 states of the United States. We collected data on incentive policies by conducting 2 surveys among representatives of blood collection establishments. Additionally, we integrated incentive data from an existing study and the World Health Organization (WHO). Lastly, we performed a web content analysis of blood collector websites and news releases to extend incentive data for the United States as well as underrepresented regions. We present descriptive analyses illustrating the type and value of incentives and their geographical distribution around the globe. Approximately half of the countries in our sample employ financial incentives, which include cash and tax benefits, but also less conventional incentives, such as healthcare supplements and raffles. Time off work is also commonly offered to blood donors and varies across blood collection establishments in duration and whether it is granted to all donors or only to those whose employer allows it. There is a geographical clustering of incentives, such that neighboring countries are more likely to employ similar incentives. This study provides insights into the strategies used for incentivizing blood donation and highlights the global diversity of incentive policies for whole blood donors. In stark contrast to WHO guidelines, half of the countries surveyed employ some kind of high-value incentive for blood donors. More realistic guidelines that are adapted to the local cultural and institutional context may be needed to maintain an adequate blood supply.

Public biofoundries as innovation intermediaries: the integration of translation, sustainability, and responsibility

The emergence and evolution of engineering biology, and its potential to address multiple global challenges is associated with the rise of biofoundries. These innovation intermediaries are facilities that employ advanced automation and computational analytics to accelerate engineering biology applications. Yet, for biofoundries to fully achieve their promise of generating applications that address grand societal challenges, they need to meet three key challenges: translation of research technology and its commercialization, attention to sustainability, and responsible innovation. Using web content analysis and interviews, this paper explores the functions and capabilities undertaken by existing public biofoundries, the extent to which they address these three challenges, and opportunities and models for enhancement. We also probe the roles undertaken by three other contrasting types of innovation intermediaries to identify practices and opportunities for integration and partnering with public biofoundries. We find that public biofoundries exhibit relatively strong capabilities for research translation, whereas efforts toward sustainability and responsibility are generally less prominent. For biofoundry enhancement, we propose an organisational model based on external partnering where public biofoundries are positioned as intermediaries within regional innovation systems. The framework put forward is reproducible and could be used in other contexts for assessing innovation intermediary organisational functions and capabilities toward meeting societal challenges.

Topic Modelling of Web Pages with Latent Dirichlet Allocation Methods

Topic modelling with Latent Dirichlet Allocation (LDA) is a popular technique used in natural language processing to uncover hidden thematic structures within a collection of documents. When applied to web pages, LDA can help in identifying prevalent topics or themes across these pages.. This study delves into the utilization of Latent Dirichlet Allocation (LDA) methods to extract underlying topics within web pages, a fundamental pursuit in understanding the multifaceted landscape of online information. Web content analysis presents unique challenges owing to its diverse nature—comprising text, images, videos, and structured HTML elements—mandating rigorous preprocessing strategies to homogenize the data. By adapting the LDA model to accommodate these challenges, this research tackles the task of uncovering latent thematic structures prevalent across web content. Methodologically, the study explores parameter tuning and model adaptation to optimize LDA for web page analysis, navigating complexities such as varied content formats, noise, and inherent biases in web data. Addressing these intricacies involves parsing HTML, extracting meaningful textual information, and refining tokenization processes. Evaluating the fidelity and interpretability of discovered topics becomes pivotal, prompting the utilization of coherence scores, perplexity metrics, and human assessment to gauge the quality of generated topics. Additionally, this research confronts the dynamic nature of web content, proposing strategies like continuous model retraining and dynamic topic modeling to accommodate evolving trends and updates. Practical applications of the extracted topics span a spectrum of domains, encompassing content recommendation systems, user behavior analysis, sentiment analysis, targeted advertising, and the enhancement of search algorithms for improved relevance and user engagement. Supported by illustrative case studies, this study elucidates how LDA serves as a potent mechanism to distill coherent and meaningful topics from web pages, offering invaluable insights into the hidden structures within the vast expanse of online information. St This comprehensive abstract encapsulates the depth and breadth of employing LDA for the analysis of web content, encompassing challenges, methodologies, evaluations, applications, and real-world implications.

Advancing home-like environments for memory care residents within nursing homes

Abstract Objective: This article reports on 5 specialized memory care environments within nursing homes in Canada through the theory of affordances with the aim of understanding the layered implications of affordances on memory care residents by curating objects within and configuring or designing spatial environments. Methods: A spatial/object-centric approach was taken by using a detailed analysis framework based on a robust interpretation of the theory of affordances and well-known elements, principles, and physical/construction properties of interior and spatial design. A web content analysis method, using hundreds of photographs, drawings, and textual information belonging to 5 nursing homes posted on websites and on social media, was used. Results: The results include a detailed analysis framework informed by affordance theory and 3 themes that reveal details about the designed environments. The 3 themes are: (1) how contextual factors of affordances of place and care played out, (2) how physical, cultural, and semantic affordances aided or detracted from memory care, and (3) how home-like environments with public, semiprivate, and private spaces involved multiple affordances and constraints that provided multisensory clues towards supporting and/or limiting memory care residents’ possible actions. Conclusions: We conclude that although affordances can open a range of possible actions, they are not ideal for configuring or designing home-like environments, and it is necessary for memory care residents to be presented with constraints that limit alternatives and misaffordances. This article provides evidence about how affordances and constraints are (and could be) intentionally embedded in home-like memory care environments in nursing homes.

Agriculture 4.0 as Enabler of Sustainable Agri-Food: A Proposed Taxonomy

Global population growth, climate change, and food safety are some of the challenges that the agri-food sector is current facing. Addressing these in a sustainable way requires the adoption of sustainable-oriented innovations capable of developing new knowledge and reshaping production methods and business models. Digitalization and technological evolution in the agri-food sector, culminating within Agriculture 4.0 (A4.0), represent the latest revolution, as testified by the extant body of knowledge. The lack of a systematic model to map the body of knowledge in A4.0 and how it addresses the agri-food sustainability challenges represents the input of our review. We propose a systematic literature review to discover the research routes in A4.0, increasing the understanding of this paradigm as agri-food sustainability enabler. A taxonomy, composed of 566 terms grouped in seven categories representative of the extant research routes, is proposed: the names assumed by agri-food digitalization process, the main aims and issues of A4.0, the features of the agricultural sector, the parameters monitorable and calculable through A4.0, data, and technologies. It emerged that A4.0 absolve the role of enabler in sustainability agri-food providing to the company a set of data and technological sustainable oriented innovations able to solve, according to an interdisciplinary approach, environmental, social, and economic challenges. The findings identify research gaps and theoretical and practical implications for a wide range of stakeholders, such as engineering managers, agri-food companies, researchers, or companies involved in the web content analysis. Limitations and future research route complete the study.

TÜRKİYE'NİN İNSANİ YARDIMI: TİKA'NIN FAALİYETLERİ VE INSTAGRAM'DAKİ GÖRÜNÜRLÜĞÜ ÜZERİNE BİR ANALİZ

Donor countries which help to combat global poverty and provide lifesaving assistance in times of crisis provide support to developing and least-developed countries in the form of money, resources, and technical expertise. Their support can help those countries to build their infrastructure, improve education, healthcare, and access to safe drinking water and sanitation, create jobs and economic opportunities and respond to global challenges, such as climate change and disease pandemics. Foreign aid also helps to foster greater political stability, which is important for peace and security. This study focuses on Turkish humanitarian assistance activities in many countries performed by the Turkish Cooperation and Coordination Agency [TİKA] in line with the Sustainable Development Goals [SDGs], which the members of the United Nations [UN] have adopted. According to the findings of the content analysis of the Turkish Development Assistant Report 2020, TİKA conducts activities in eight categories which are based on 12 SDGs; and web content analysis has been applied to analyse whether those activities have been implemented on TİKA’s Instagram page to gain visibility and interaction with users. 621 activities in those categories have acquired 301535 likes on Instagram, 1192 comments out of 1455 have been positively reacted to by users while 43 have reacted negatively. 24 users asked questions, and TİKA replied to only 3 of them.

A Further Step toward Sustainable Development: The Case of the Edible Mushroom Supply Chain.

This study provides an accurate economic characterization of the supply of edible mushrooms throughout Italy within the European context to fill the relevant research gap and highlight barriers and opportunities that are consistent with the Sustainable Development Goals. Italian companies operating in this field were identified and economically characterized using the Chamber of Commerce's Register of Companies. A qualitative web content analysis was then conducted to extract information about the marketed products, mushroom species, and retail channels, as well as the adopted certifications. The obtained data were quantitatively analyzed through descriptive statistics and multiple correspondence analysis. The Italian market is concentrated in northern areas of the country, and the limited company size indicates fragmentation at the production level, which led to Italy not being competitive enough and, thus, heavily rely on imports. Production is limited to less than 10 species, and innovative mushroom-based products, such as burgers, have shown a limited presence on the market, although they are gaining market share online. The novelty of growing kits highlights the potential to use food production waste to create fungal substrates. Investments in training new mushroom growers and studying new formulations and new fungal species are needed; these investments could allow greater market differentiation and be a good opportunity to promote local economies and create new job opportunities, thus meeting the requirements for sustainable development.

Access to information on the requirements to work as a nurse in Poland, provided to Ukrainian refugee background nurses by nursing self-government institutions. Word Wide Web Content Analysis

Abstract Aim. The aim of the study was to determine whether the National Chamber of Nurses and Midwives (NIPiP), as well as the District Chambers of Nurses and Midwives (OIPiP), undertake activities to inform Ukrainian war refugees - nurses (UKR-Ns) about the simplified work permit procedure. Material and methods. We analysed work permit related information for UKR-Ns available on the NIPIP and OIPIP websites. The research was conducted in two stages: 1) content analysis of information for UKR-Ns posted on the official NIPiP website 2) quantitative and qualitative analysis of information for UKR-Ns on official OIPIP websites. Results. The analysis of information on work permits demonstrated that its content and the way in which this information was communicated varied greatly over time. Seven OIPIs did not publish any information on the procedure of obtaining work permits by UKR-Ns and for three OIPIPs, access to information was modified and/or removed from the website at the time of the observation undertaken. The vast majority of OIPIPs provided information that could only be considered as partly relevant. Conclusions. The information for UKR-Ns, regarding the process of obtaining work permits, published by the NIPiP and OIPiPs on their official websites requires modification, both in terms of content and form.

Stakeholders in the acquisition, preservation, and dissemination of indigenous knowledge projects

Indigenous knowledge preservation can lead to sustainable development and the protection of the environment, facilitating the achievement of one of the United Nations’ sustainable development goals, number 15, which seeks to protect the sustainable use of ecosystems to avoid desertification and land degradation. This article reports on a study aimed at identifying the stakeholders to be involved in the acquisition, preservation, and dissemination of IK in the digital era. The study considered the Ulwazi and Mukurtu projects, which are documented in the literature and representing the contexts of developing and developed countries, respectively. A qualitative approach triangulating data collection techniques was employed by doing a systematic literature review on four databases, i.e., Scopus, Web of Science, Google Scholar, and Dimensions, followed by a web content analysis of the websites and official social media platforms of the two projects. Content analysis was used to select the relevant documents, followed by online interviews to collect data from two project administrators to validate the findings. The data were thematically analysed using the NVIVO software. The findings provided valuable information about the role and functions of stakeholders in the context of the model that is being designed for IK projects. It was noted that all stakeholders should be involved so that no one is left behind.

Digitization of Indigenous knowledge systems in Africa: the case of South Africa’s National Recorded System (NRS)

PurposeThe purpose of this study is to highlight the indigenous knowledge systems (IKS) preservation efforts in South Africa, with a focus on the National Recordal System and the Indigenous Knowledge Systems Documentation Centres (IKSDCs) across South Africa.Design/methodology/approachAnchored in the interpretivist paradigm, the qualitative research approach was adopted to explore the objectives of the study. The multiple case study method was considered appropriate and adopted for the study. The data for this study was collected through comprehensive face-to-face interviews and Web content analysis. The population of the study consisted of the staff at the IKSDCs in the selected academic institutions. The purposive sampling technique was used to select the following set of participants in each academic institution: IKS managers/coordinators, digitization officers and online collection administrators.FindingsThe findings provide an in-depth understanding of the IKS landscape in South Africa. The findings and recommendations of this paper would be useful to researchers who wish to know more about digitization efforts in South Africa. It would also be useful to all stakeholders and policymakers.Originality/valueThe paper brings to the fore the efforts of the South African government in preserving IKS through documentation and digitization. The paper highlights the sources of indigenous knowledge, types of indigenous knowledge captured, how the indigenous knowledge is ingested in the repositories and how the data is captured. Generally, the roles of the IKSDCs in the capture and preservation of IKS are highlighted.