Archaeoseismology: Methodological issues and procedure

Archaeoseismic research contributes important data on past earthquakes. A limitation of the usefulness of archaeoseismology is due to the lack of continuous discussion about the methodology. The methodological issues are particularly important because archaeoseismological investigations of past earthquakes make use of a large variety of methods. Typical in situ investigations include: (1) reconstruction of the local archaeological stratigraphy aimed at defining the correct position and chronology of a destruction layer, presumably related to an earthquake; (2) analysis of the deformations potentially due to seismic shaking or secondary earthquake effects, detectable on walls; (3) analysis of the depositional characteristics of the collapsed material; (4) investigations of the local geology and geomorphology to define possible natural cause(s) of the destruction; (5) investigations of the local factors affecting the ground motion amplifications; and (6) estimation of the dynamic excitation, which affected the site under investigation. Subsequently, a 'territorial' approach testing evidence of synchronous destruction in a certain region may delineate the extent of the area struck by the earthquake. The most reliable results of an archaeoseismological investigation are obtained by application of modern geoarchaeological practice (archaeological stratigraphy plus geological–geomorphological data), with the addition of a geophysical-engineering quantitative approach and (if available) historical information. This gives a basic dataset necessary to perform quantitative analyses which, in turn, corroborate the archaeoseismic hypothesis. Since archaeoseismological investigations can reveal the possible natural causes of destruction at a site, they contribute to the wider field of environmental archaeology, that seeks to define the history of the relationship between humans and the environment. Finally, through the improvement of the knowledge on the past seismicity, these studies can contribute to the regional estimation of seismic hazard

Immigrations, styles and topics: A study about Italian politics tweet

Immigration has been one of the most relevant topics during the Brexit Referendum, United States presidential election, and Italian and European Parliament elections (e.g., Zappettini, 2019; Faris, Roberts, Etling, Bourassa, Zuckerman, & Benkler, 2017). In particular, during these events, the anti-immigration-politicalgroups gain consensus (Muis and Immerzeel, 2017). In this study, we investigate, with a text-Analysis of 1000 Italian political leaders' tweets, which topics are associated with negative or positive sentiment toward immigrants. The results show that negative messages are associated, in a logistic regression model, with a populistic communication style, and with conspiracy suspicions. Moreover, a network analysis reveals that anti-immigration messages are associated with security and justice topics, whereas pro-immigration messages are associated with the topics of civil rights, culture, and Europe. Stylistics elements of populist and conspiratorial communication and their relation with the diffusion of anti-immigration contents and related consequences on composition and transmission of values, in social media context, are discussed

Tax the élites! The role of economic inequality and conspiracy beliefs on attitudes towards taxes and redistribution intentions

Taxation is one of the most widely acknowledged strategies to reduce inequality, particularly if based on progressivity. In a high-powered sample study (N = 2119) we investigated economic inequality and conspiracy beliefs as two key predictors of tax attitude and support for progressive taxation. We found that participants in the high economic inequality condition had lower levels of tax compliance and higher levels of conspiracy beliefs and support for progressive taxation. Furthermore, the effect of the experimental condition on tax compliance was mediated by conspiracy beliefs. Finally, conspiracy belief scores were positively associated with support for progressive taxation. Our results provide evidence that attitudes towards taxation are not monolithic but change considering the aims and targets of specific taxes. Indeed, while the perception of economic inequality prompts the desire for equal redistribution, it also fosters conspiracy narratives that undermine compliance with taxes

The rise of #climateaction in the time of the FridaysForFuture movement: A semantic network analysis

We investigate the psycho-linguistic features of the online discourse over climate change, focusing on its modifications throughout the years 2017–2019 as a result of collective actions emerging and spreading worldwide. We seek to understand the emerging connection between digital activism and the psychological processes related to its social drives. To this end, a semantic network is derived from the social platform Twitter, and its evolution is traced over time, tracking textual proxies of social identity and empowerment. Original proposals are made to identify communities and highlight the most important semantic contents of the corpus from a network perspective. These evaluations on semantic communities of related concepts further detail the shift in the rhetoric of collective actions. Finally, we explore projection of the ingroup to the future in the online discourse about climate change, which can point to developments of pro-environmental campaigns