"Sounds Funny? – Humor Effects of Phonological and Prosodic Figures of Speech"

Whereas semantic, logical, and narrative features of verbal humor are well-researched, phonological and prosodic dimensions of verbal funniness are hardly explored. In a 2 × 2 design we varied rhyme and meter in humorous couplets. Rhyme and meter enhanced funniness ratings and supported faster processing. Rhyming couplets also elicited more intense and more positive affective responses, increased subjective comprehensibility and more accurate memory. The humor effect is attributed to special rhyme and meter features distinctive of humoristic poetry in several languages. Verses that employ these formal features make an artful use of typical poetic vices of amateurish poems written for birthday parties or other occasions. Their metrical patterning sounds “mechanical” rather than genuinely “poetic”; they also disregard rules for “good” rhymes. The processing of such verses is discussed in terms of a metacognitive integration of their poetically deviant features into an overall effect of processing ease. The study highlights the importance of nonsemantic rhetorical features in language processing.

The Political Candidacy of EU Migrants in their European Countries of Residence. The Case of British and Romanians Standing in Spanish Local Elections

What explains the variation in how European citizens of diverse origins are politically incorporated in the member states of residence? This paper argues that immigrant groups’ status in the host society plays an important role in political party responses to immigrants’ political participation. Drawing on the case of Romanian and British candidacies in the Spanish local elections from 2011, the paper finds that the level of competition between parties is the key mechanism for incorporating candidates from a positively/neutrally perceived group. Instead, a greater level of ethnic diversity encourages the incorporation of candidates from the negatively perceived group. To demonstrate this, the paper uses an original data-set with the Romanian and British candidates in a large number of Spanish localities.