Argumentation schemes, fallacies, and evidence in politicians' argumentative tweets-A coded dataset.

This coded database presents a corpus of argumentative tweets published by four politicians (Matteo Salvini, Donald Trump, Jair Bolsonaro, and Joe Biden) within 6 months from their taking office, which corresponds to the official end of their election campaign. The coding is based on a threefold method of analysis based on the instruments of argumentation theory and pragmatics. First, the types of arguments are recognized and classified according to a systematic organization of the argumentation schemes developed in the literature.

Multicultural classroom discourse dataset on teachers' and students' dialogic empathy.

This dataset belongs to a large-scale educational intervention project introducing cultural literacy learning in schools. The dataset includes transcribed dialogic interactions from 111 lessons conducted in classrooms of five countries: England, Portugal, Germany, Spain, and Cyprus. The lessons were part of the same Cultural Literacy Learning Programme made available to teachers from three age groups (pre-primary, primary, secondary) to implement with their ordinary classes during ten sessions.

Coding Problematic Understanding in Patient-provider Interactions.

This article proposes a coding scheme for identifying and assessing linguistic evidence of problematic understanding in health-care provider communication with patients affected by type 2 diabetes mellitus. Drawing on the existing literature in pragmatics and linguistics, the scheme is grounded on the distinctions between the different types of linguistic evidence of the occurrence of a misunderstanding or a problematic understanding, divided into three levels (stronger, acceptable and weak) based on their probative force. The application of the scheme is illustrated through a pilot study, conducted on an Italian corpus of 46 transcripts of videotaped consultations between six health-care providers and 13 patients affected by diabetes mellitus type 2.