Ricerc@Sapienza

This paper deals with a quantitative analysis of the content of official political speeches.We study a set of about one thousand talks pronounced by the US Presidents, ranging from Washington to Trump. In particular, we search for the relevance of the rare words, i.e. those said only once in each speech – the so-called hapaxes. We implement a rank-size procedure of Zipf–Mandelbrot type for discussing the hapaxes’ frequencies regularity over the overall set of speeches.

Il capitolo tratta le dinamiche conversazionali sul social network Facebook durante la campagna elettorale 2016, focalizzando l'attenzione sulle reazioni degli elettori ai post dei politici.

The article provides a longitudinal analysis of Italian marketing studies by examining the articles published in three leading academic Journals over the period 2005-2015. The adopted research methodology is of quali-quantitative type, and combines qualitative content analysis with software-assisted text analysis. The outcomes reveal that some key tendencies emerge in both the covered topics and the adopted research methods, and the Italian marketing literature is progressively aligning to the consolidated international research practices.

Purpose
On the verge of what has been hailed as the next technological revolution, the purpose of this paper is to examine scientific and popular definitions of the social robot, reflecting on how expert and lay spheres of knowledge interact. Drawing on social representations theory, this paper aims to elucidate how social robots are named and classified, and to examine the dynamics contributing to their definition.