In the 21st century, brand communication has been significantly transformed through the interaction of users and artificial intelligence (AI), who co-create and recreate texts in digital environments. This evolution challenges traditional disciplines and roles, opening new perspectives for textual production on multiple platforms. The study examines the current state and application of the textual component in brand communication, exploring its disciplinary foundations, rhetorical traces, and research methodologies. To this end, a content analysis of 97 relevant publications from 2000 to 2024 was conducted, selected for their impact on the field of brand communication and following the guidelines established in the PRISMA statement. The results identified three sources of textual creation: Organization, users and algorithms. In addition, persuasion and sentiment take precedence at the rhetorical level, while data mining stands out in message analysis. In conclusion, the advertising text, which previously prevailed in brand communication with corporate authorship, formal prefiguration and a closed entity, now expands in a media and networked context. This text originates from a multiplicity of human and automated sources, overlapping rhetorical phases and fluid textualities. The shift implies a transition from unidirectional communication, characterized by repeated impacts, to multidirectional communication with spiraling trajectories and iterative adjustments. This challenges the boundaries of genres and formats, merging the persuasiveness of rhetoric and the imagination of storytelling. This situation demands commercial policies that integrate new professionals and roles, in partnership with the educational sector, and that address copyright with AI and users.

The relationship between aid and corruption remains ambiguous. On the one hand, aid may benefit a country if the aid management system runs efficiently and transparently. On the other hand, aid tends to create new problems, namely corruption, especially in developing countries. This research examines the aid-corruption paradox in Indonesian provinces from a spatial perspective. The data was obtained from the Indonesian Ministry of Finance, the National Development Planning Agency of Indonesia, the Corruption Eradication Commission of Indonesia, and the Electronic Procurement Service, referring to 34 Indonesian provinces between 2011 and 2019. The research applies the spatial panel method and uses Haversine distance to construct the weighted matrix. The spatial error model (SEM) is the best for Model 1 (Grants) and Model 2 (Loans) and the best corruption model in Model 3 (Gratification). The spatial autoregressive model (SAR) is the best approach for Model 4 (Public Complaints) and Model 5 (Corruption). The findings show that there is no spatial dependence between provinces in Indonesia in terms of grants or loans. However, corruption in Indonesia is widespread.

With the rapid development of modern AI painting, Chinese university fine arts education is facing numerous challenges and opportunities. This paper analyzes the impact of modern AI painting on traditional art creation and its implications for student skill development. Additionally, it explores the key areas where Chinese university fine arts education needs to transform, including curriculum, teaching methods, and teacher training, while proposing corresponding strategies.

This study employed a qualitative approach to examine tertiary students’ perspectives on leveraging Social Studies in the fight against corruption in Ghana. A purposive sampling technique was used to select 21 students from a distance training institution. Some of the variables investigated were causes of corruption and the extent to which students perceived Social Studies as a potential force to combat corruption. The semi-structured interview guide was used to collect data from research participants while thematic analysis was adopted. Data from the study revealed that corruption in Ghana is caused by factors such as weak institutions, greed, poverty-related issues and cultural practices. The results also indicated that Social Studies could significantly help curb corruption. Beside Social Studies, other measures including strengthening institutions, meting out severe punishment to culprits and moral education can also reduce corruption. It was, therefore, recommended that the Ministry of Education through the Ghana Education Service should retool the Social Studies subject, and make it compulsory at all levels of education since it has the potential to reduce corruption.

An exhaustive analysis and evaluation of fertility indicators in a society including many ethnic groups might provide valuable insights into any discrepancies. This study aims to systematically analyse the fertility rates over specific periods and investigate the differences in levels and patterns between local and expatriate women in Saudi Arabia using the existing data. This analysis used data from credible sources published by the General Authority for Statistics in the Saudi census 2022. The calculation of period fertility indicators started with the most straightforward rates and advanced to more complex ones, followed by a comprehensive description of the advantages and disadvantages of each. The aim was to ascertain fluctuations in fertility rates and analyse temporal patterns. Multiple studies consistently show that the fertility rate among expats in Saudi Arabia is lower than that among Saudi native women. However, the reason for this discrepancy still needs to be discovered since the definitive effect of contraceptive techniques has yet to be confirmed. Moreover, the reproductive trends that have occurred since the early 1980s will persist, although with additional precautions in place.

Studies on the influence of public policies on the regional tourism sector are of high scientific and practical interest, as they offer inputs to guide public management towards strengthening the tourism development of the territories. Through the structural equation model, this study took a sample 99 companies in the tourism sector in Valle del Cauca, Colombia, addressing the relationship between public policy management (PPM) and regional tourism development (RTD), from the perspective of the rational model of business performance. The findings show that the capacity of the state and its entities to comply with the requirements of the organizations, as well as the rigor to take criticism and suggestions for improvement, as a basis to strengthen their management, are the factors that best explain the relationship between the PPM and RTD based on the performance of organizations in the sector, especially focused on increasing market share, productivity, and income. Other findings and practical implications are discussed.