Research on the Construction of Online Culture Trading Platform Based on Netizens’ Wishes

According to the statistical data of the 44th China statistical report on Internet development, as of June 2019, the number of Internet users in China has reached 854 million, and the penetration rate has reached 61.2%. The number of mobile Internet users reached 8.47 million, accounting for 99.1% of the total Internet users [1]. The number of Internet users in China continued to grow steadily. With the rapid development of high-tech and Internet, the continuous expansion of Internet users, the continuous optimization of the network environment, the gradual formation of the network society, the network life tends to be a regular state, and the network culture is also formed in this environment, which has become an important part of China’s cultural system. This paper takes netizens as the core, studies the construction of network cultural data trading platform based on netizens’ behavior. Through the establishment of netizens influence model and online cultural data trading platform, this paper studies the consumption intention of online cultural products and the characteristics of online cultural data trading platform from the perspective of netizens. Based on the data of strong research results, this paper puts forward suggestions and strategies for the construction of network cultural data trading platform and the innovation of network cultural products in China.

Neural Network: An Improved FCM for Multimodal Cultural Data Analysis

With the development of cloud computing, big data, and artificial intelligence (AI) technology, there is a growing interest in “cultural analysis.” Cultural analysis requires different types of data such as texts, pictures, and videos. The richness and differences of resources in the cultural field lead to diverse modalities of cultural data. Traditional text analysis methods can no longer meet the data analysis needs of current multimedia cultural resources. This article starts from cultural data’s feature information to solve the heterogeneity problem faced by massive multimodal cultural data analysis. It analyzes it from geography, time, art, and thematic character, classified and aggregated to form a multimodal cultural feature information matrix. The corresponding correlation measurement methods for different matrices from the above dimensions are proposed, solved in turn, and substituted into the optimized training back propagation (BP) neural network to obtain the final correlation degree. The improved fuzzy C-means (FCM) clustering algorithm is used to aggregate the high correlation cultural data based on the degree. The algorithm proposed in this study is compared with the existing algorithm. The experimental results show that the optimized BP neural network is at least 58% more accurate than the current method for calculating different matrices’ correlation degrees. In terms of accuracy, the improved fuzzy C-means algorithm effectively reduces the random interference in the selection of the initial clustering center, which is significantly higher than other clustering algorithms.

Open Cultural Data and MediaWiki Software for a Museum: The Use Case of Musée Saint-Raymond (Toulouse, France)

Freely accessible online databases developed by cultural and artistic institutions (e.g., museums, libraries, universities, studios, etc.) enable the transnational dissemination of catalogues of cultural and creative works, exploiting the advantages of modern technologies. Intelligent tools, which use advanced algorithms to classify and contextualize data, can foster knowledge mainly in two ways: (1) providing a stable and accessible basis for large amounts of data; (2) promoting cultural heritage. A case of skillful use of such tools is the Saint-Raymond Museum, the archaeological museum of Toulouse. For several years it has been working on the open data front and on putting its catalogue online on Wikimedia platforms, in various forms.

Cultural transformation and translation

Along with the cultural transformation and renewal process of the world, the need for reinterpretation in the field of translation has come to the fore. The increase in cultural activities and transformations has led to the emergence of new dimensions in the communication and interaction of societies. Especially after the second half of the 20th century, the rapid social, economic and cultural mobility, which started to gain a new dimension, intensified the cultural interaction, and also led to the production of many written and oral works in this field. The dimensions of cultural data transfer, including these produced works, have begun to increase. The most important role in the transfer of these data between cultures and languages ​​is the translation institution, which has the importance of a cultural carrier beyond being a purely linguistic transmission tool. In this study, firstly, the concept of culture is examined within the general framework. Following this, the concept of translation and its relationship with the phenomenon of culture are discussed. In the study, an answer is sought to the question of what exactly is understood from the concept of culture. Finally, the complementarity effect of the concepts of translation and culture is emphasized. ​Extended English summary is in the end of Full Text PDF (TURKISH) file. Özet Dünyanın geçirdiği kültürel dönüşüm ve yenilenme süreci ile çeviri sürecini yeniden yorumlanma ihtiyacı ön plana çıkmaya başlamıştır. Kültürel faaliyetlerin ve dönüşümlerin yaşanmasındaki artış toplumların iletişim ve etkilişimde de yeni boyutların ortaya çıkmasına neden olmuştur. Özellikle 20. yüzyılın ikinci yarısından sonra yaşanmaya başlayan hızlı sosyal, ekonomik ve kültürel hareketlilik yeni bir boyut kazanmaya başlayan kültürel etkileşimin yoğunlaşmasını sağlarken bu alanda birçok yazılı ve sözlü eserin üretilmesine de yol açmıştır. Üretilen bu eserler de dahil olmak üzere kültürel veri transferinin boyutları da artmaya başlamıştır. Bu verilerin kültürler ve diller arasında transferindeki en önemli rol ise salt dilsel aktarım aracı olmasından öte kültürel bir taşıyıcılık önemi de haiz olan çeviri müssesesindedir. Bu çalışmada ilk olarak kültür kavramı genel çerçeve içerisinde ele alınarak irdelenmektedir. Bunu müteakiben ise çeviri kavramı ve kültür olgusu ile olan ilişkisi ele alınmaktadır. Çalışmada kültür kavramından tam olarak neyin anlaşılmakta olduğu sorusuna cevap aranmaktadır. Nihai olarak ise çeviri ve kültür kavramlarının birbirine yaptığı tamamlayıcılık etkisi üzerinde durulmaktadır.

Comparing a Binary Dependent Variable Across Cultural Groups Using Applied Logistic Regression

This chapter reviews the basic ideas of logistic regression involving a binary dependent regressed on independent variables, along with assumptions for analysis and interpretations of results. It provides strategies and practical guides for data analysis using Stata and explains the basic assumptions of logistic regression and its applications for cross-cultural data analysis. The chapter also provides examples of logistic regression models for cross-cultural comparison, and outlines the techniques for testing the equivalence of effects across groups. The text includes examples of charts and graphs that can be used to explain differences in effects across cultural groups.

Introduction to Applied Cross-Cultural Data Analysis

This chapter introduces applied cross-cultural data analysis and addresses the concepts of culture and how culture can be integrated into social work research. We review the definition of culture and how it has been understood and examined in research across various disciplines. We present an overview of the theories and frameworks of cross-cultural analysis, and provide the lens through which culture is examined by means of the techniques and approaches that are used in this book. Cross-cultural analysis can be viewed as comparisons based on key demographic variables such as countries of origin, race, ethnicity, language, sex, religion, and related cultural identifications. The assumption is that people who share the same cultural identification also share similar values and behaviors.

Applied Cross-Cultural Data Analysis for Social Work

Applied Cross-Cultural Data Analysis for Social Work is a research guide which provides a hands-on approach for learning and understanding data analysis techniques for examining and interpreting data for the purpose of cultural group comparisons. This book aims to provide practical applications in statistical approaches of data analyses that are commonly used in cross-cultural research and evaluation. Readers are presented with step-by-step illustrations in the use of descriptive, bivariate, and multivariate statistics to compare cross-cultural populations using large-scale, population-based survey data. These techniques have important applications in health, mental health, and social science research relevant to social work and other helping professions, especially in providing a framework of evidence to examine health disparities using population-health data. For each statistical approach discussed in this book, we explain the underlying purpose, basic assumptions, types of variables, application of the Stata statistical package, the presentation of statistical findings, and the interpretation of results. Unlike previous guides on statistical approaches and data analysis in social work, this book explains and demonstrates the strategies of cross-cultural data analysis using descriptive and bivariate analysis, multiple regression, additive and multiplicative interaction, mediation, and SEM and HLM for subgroup analysis and cross-cultural comparisons. This book also includes sample syntax from Stata for social work researchers to conduct cross-cultural analysis with their own research.