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Reading the political and the familial in The Americans illuminates central features of the New Right. In particular, The Americans provides an opportunity to reconsider the significance of the ‘pro-family’ label to New Right organising, the importance of mothering to the ‘pro-family’ narrative offered by the New Right, and the relationship between this account of mothering and democratic citizenship more broadly. This paper argues: first, the ‘pro-family’ label served to weaponise American families against equality and egalitarian public institutions; second, that this weaponisation of the family was accomplished through a rhetorical and real elevation of the moralised work of mothers in the home; and third, this account of mothering is incompatible with democratic citizenship not only because it reproduces inequality but also because it presents families, particularly mothers, as surrounded by enemies. Surrounded by enemies, their children appear endangered or dangerous should they become products of enemy forces. The pro-family rhetoric of the New Right – with its emphasis on the labour of women, particularly mothers – concealed an insurgent factional bid for power just as the Jennings family concealed an insurgent operation inside the United States. The displacement of law in The Americans mirrors the displacement of law in American conservative politics in the 1980s and law’s replacement by the ideal of sanctified families that the guard republic. The Americans both recognises this reversal in American conservative politics and parodies the reversal of the idea that law protects the family.

This research aims to propose a model for the complex decision-making involved in the ecological restoration of mega-infrastructure (e.g. railway engineering). This model is based on multi-source heterogeneous data and will enable stakeholders to solve practical problems in decision-making processes and prevent delayed responses to the demand for ecological restoration.

Based on the principle of complexity degradation, this research collects and brings together multi-source heterogeneous data, including meteorological station data, remote sensing image data, railway engineering ecological risk text data and ecological restoration text data. Further, this research establishes an ecological restoration plan library to form input feature vectors. Random forest is used for classification decisions. The ecological restoration technologies and restoration plant species suitable for different regions are generated.

This research can effectively assist managers of mega-infrastructure projects in making ecological restoration decisions. The accuracy of the model reaches 0.83. Based on the natural environment and construction disturbances in different regions, this model can determine suitable types of trees, shrubs and herbs for planting, as well as the corresponding ecological restoration technologies needed.

Managers should pay attention to the multiple types of data generated in different stages of megaproject and identify the internal relationships between these multi-source heterogeneous data, which provides a decision-making basis for complex management decisions. The coupling between ecological restoration technologies and restoration plant species is also an important factor in improving the efficiency of ecological compensation.

Unlike previous studies, which have selected a typical section of a railway for specialized analysis, the complex decision-making model for ecological restoration proposed in this research has wider geographical applicability and can better meet the diverse ecological restoration needs of railway projects that span large regions.

The spread of fake news on Instagram is still a problem that needs to be solved. Teenagers are a generation that is vulnerable to fake news, for example, high school students. Students need media literacy to help them protect against fake news. The media literacy skills possessed by students influence the behavior of spreading fake news that they do. This study aims to examine the effect of student media literacy on the behavior of spreading fake news on Instagram among students at public high schools in Surabaya.

This study used an online survey to100 students at five public high school in Surabaya to get the data on their ability to respond to the fake news on social media Instagram.

It was found that there is a media literacy that has a significant effect on the behavior of spreading fake news on Instagram. Based on these findings, it can be concluded that media literacy influences the behavior of spreading fake news on Instagram, and other factors influence the rest. There are seven media literacy skills, and the high category are grouping, deduction, synthesis and abstraction abilities. Meanwhile, the abilities included in the medium category are analysis and evaluation abilities.

This paper will provide insight of the media literacy levels on teenagers in metropolitan city. This result can be used as guide to add the media literacy subject at high schools and can be used to strengthen the media literacy skills among teenagers.