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In this paper, we address the need to study automatic propaganda detection to establish a course of action when faced with such a complex task. Although many isolated tasks have been proposed, a roadmap on how to best approach a new task from the perspective of text formality or the leverage of existing resources has not been explored yet.

We present a comprehensive study using several datasets on textual propaganda and different techniques to tackle it. We explore diverse collections with varied characteristics and analyze methodologies, from classic machine learning algorithms, to multi-task learning to utilize the available data in such models.

Our results show that transformer-based approaches are the best option with high-quality collections, and emotionally enriched inputs improve the results for Twitter content. Additionally, MTL achieves the best results in two of the five scenarios we analyzed. Notably, in one of the scenarios, the model achieves an F1 score of 0.78, significantly surpassing the transformer baseline model’s F1 score of 0.68.

After finding a positive impact when leveraging propaganda’s emotional content, we propose further research into exploiting other complex dimensions, such as moral issues or logical reasoning.

Based on our findings, we provide a roadmap for tackling propaganda-related tasks, depending on the types of training data available and the task to solve. This includes the application of MTL, which has yet to be fully exploited in propaganda detection.

This study addresses a gap in the literature by examining the marketing strategies adopted by wineries in the context of wine tourism. This study aims to identify marketing strategic orientations and highlight their significance in the context of wine tourism.

The research uses a comparative case study approach, focusing on two wine regions, Roussillon (France) and Empordà (Spain). It involves the analysis of 99 active winery websites to identify marketing orientations. Descriptive statistics, cluster analysis and ANOVA tests were used to achieve this.

The study reveals four distinct wine tourism strategic orientations adopted by wineries in these regions. It emphasizes the importance of external ties, varying levels of competitiveness, website performance and geographical differences as key findings. The results show that wineries with a clear diversification strategy benefit from a higher level of competitiveness.

This research contributes to the academic literature by identifying different marketing strategies within wine tourism, highlighting their importance and providing a comprehensive analysis of key areas, thus adding original insights to the existing body of literature.