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During the Covid-19 crisis, many networks have sprung up disseminating information. This study examines the influence of religion during the Covid-19 pandemic. It understands religion as a factor capable of mitigating frustrations and critical situations in society. To this end, a data mining analysis was developed for a set of 107,786 tweets collected from the social platform Twitter in the framework of user-generated content (UGC), linked to the Covid-19 related tweets published by @Pontifex and @Pontifex_es. To achieve this goal, hidden insight data extraction and sentiment analysis are carried out, along with the application of Social Network Analysis (SNA) techniques. The main outcome of the study is the positive correlation between the repercussion of the Pope’s tweets and the evolution of the Covid-19 incidence in Europe. Finally, the Latent Dirichlet Allocation (LDA) algorithm identifies the relevant topics in the analysis.

PurposeThe main purpose is to provide a global understanding of the role of women in entrepreneurship and family businesses, enabling the evaluation of the impact and the sentiment their role generates. To this end, empowerment and businesswomen's positioning through user-generated content (UCG) on Twitter is assessed.Design/methodology/approachThe research is carried out from a quantitative and qualitative perspective through the evaluation of UGC from the social platform Twitter. A total of 37,852 tweets have been collected and subsequently analysed about the role of entrepreneurial women. For that purpose, a set of supervised machine learning algorithms have been developed for sentiment analysis, as a natural language processing (NLP) technique, outlining random forest as the one with the highest accuracy. Finally, social network analysis (SNA) techniques and graph theory are applied to a generated text-to-network, which enables the identification of the most relevant topics in the discussion.FindingsThe results revealed a positive relationship in the sentiment of the generated content in relation to women entrepreneurs and leaders. An increasing trend was evidenced in the number of published tweets, as well as in the identified topics, highlighting the needs and challenges faced by women in the business environment as the most widely discussed.Research limitations/implicationsThe study develops both theoretical and practical implications so that the findings result in applications in academia and society. The performed analysis creates consciousness about the challenges of women in society, specifically in entrepreneurship.Originality/valueThe study contributes to further enriching the literature on women's entrepreneurship by addressing UGC via Twitter around the role of women, entrepreneurship and power positions.