Abstract
Compliment is a widely studied speech act, as the large number of investigations dealing with
this topic shows. However, existing research has focused almost exclusively on explicit compliments,
probably because they are more frequent than the implicit ones. Explicit compliments
openly express a positive evaluation often through formulaic structures (Manes and
Wolfson, 1981; Alfonzetti, 2009), while implicit compliments are those where hearers «need to
infer the corresponding implicature for their interpretation» (Maíz-Ar�
evalo, 2012:983).
The present investigation aims to examine and compare the use of these two types of
compliments in a corpus of virtual exchanges in German and Italian social networks. The
study focuses on explicit and implicit compliments, from both a qualitative and quantitative
point of view, with a particular attention to the linguistic patterns used to express
them in each language; then, referring to Castagneto and Ravetto's (2005) taxonomy it
investigates the reactions of compliments' addressees, highlighting how these speech acts
are perceived by German and Italian networkers. The analysis shows the use of a very
narrow range of formulation strategies in both languages. Concerning the distribution of
compliment response types, German and Italian online interactants manifest great similarities
in the selection of the different compliment answers, preferring to accept the
given appreciations rather than to reject or ignore them. Moreover, the corpus analysis
reveals in both languages the tendency to accept implicit compliments more frequently
and easily than the explicit ones.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | 19-30 |
| Numero di pagine | 12 |
| Rivista | JOURNAL OF PRAGMATICS |
| Volume | 252 |
| Stato di pubblicazione | Pubblicato - 2026 |
OSS delle Nazioni Unite
Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile
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SDG 10 Ridurre le disuguaglianze
Keywords
- Compliment Cross-linguistic comparison Social networking data Implicit speech act
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