In this article, the authors confront the thesis found in historical discourse about the dominance of male figures in historical narratives present in the public sphere. In order to do so, they analyse the new research field that is the social networking site YouTube and the most popular channels on historical topics contained therein. The main research question is whether women are marginalised in the narratives contained in the sources discussed, in which contexts they appear and what is the reception of the films in which they appear. In addition, the authors look at the question of the form of historical narratives. The study combines quantitative methods (descriptive statistics, correspondence analysis) as well as qualitative methods (Northrop Frye’s typology of story motifs. For this purpose, 551 films were analysed, which were then annotated using seven groups of tags corresponding to the content of the sources ‑ concerning the func-tioning of female characters and the subject matter of the films. As a result of the analyses carried out, it was observed that the thesis of the absolute dominance of male characters in historical narratives does not fully hold true under the conditions of Web 2.0 sources in terms of quantity, while in terms of content it cannot be accepted unreservedly in the context of the very diverse use of female themes in social media resources.

This research analysed the availability of phytoplankton and the growth rate of Vannamei shrimp in relation to water quality changes. The research was carried out in February–March 2021 for a half cycle of shrimp cultivation in two ponds of the Brackish Water Fish Culture Probolinggo Laboratory in Probolinggo, East Java, Indonesia. The research used a descriptive method and included a survey. Sampling was made every two weeks for two months. Nine parameters were measured and ten shrimps were taken for a specific growth rate ( SGR) measurement once per sampling. Data were analysed using the principal component analysis (PCA) and canonical correspondence analysis (CCA). Secondary data of water quality were added for the PCA. The results show that the phytoplankton found in the first pond consisted of Chlorophyta, Chrysophyta, and Cyanophyta, whereas the phytoplankton in the other pond included Chlorophyta, Chrysophyta, Cyanophyta, and Dinophyta. The abundance of phytoplankton ranged from 12–80∙10 ³ cell∙cm ^–3, which indicated eutrophic waters. The PCA demonstrated that pH, nitrate, and total organic matter (TOM) significantly influenced phytoplankton abundance in the pond. In addition, water quality parameters, such as temperature, transparency, salinity, nitrite and phosphate levels, were tolerable in both ponds for the growth of shrimps. However, the level of pH was lower than the aquaculture quality standard, whereas those of nitrate, ammonia, and TOM were higher. The growth rate of Vannamei shrimp increased by 0.76–7.34%∙day ^–1.