This paper presents a study aimed at characterizing the linguistic style of an emerging literary genre of the web, particularly appreciated by teens and young adults: fanfiction. By relying on Natural Language Processing approaches, and in particular on the methodology of linguistic profiling applied to a novel corpus of Italian fanfiction stories inspired by the fantasy saga "Harry Potter", we investigate the relationship between linguistic style and 'success', measured in terms of number of reviews obtained by the readers. We show that it is possible to detect a set of features, among a wide set of linguistic ones modeling lexical, morpho-syntactic and syntactic phenomena, which help more in discriminating between 'successful' and 'unsuccessful' fanfics.
Analisi della scrittura giovanile da una prospettiva linguistico-computazionale: il caso di studio della Fanfiction
Dominique Brunato;Felice Dell'Orletta
2022
Abstract
This paper presents a study aimed at characterizing the linguistic style of an emerging literary genre of the web, particularly appreciated by teens and young adults: fanfiction. By relying on Natural Language Processing approaches, and in particular on the methodology of linguistic profiling applied to a novel corpus of Italian fanfiction stories inspired by the fantasy saga "Harry Potter", we investigate the relationship between linguistic style and 'success', measured in terms of number of reviews obtained by the readers. We show that it is possible to detect a set of features, among a wide set of linguistic ones modeling lexical, morpho-syntactic and syntactic phenomena, which help more in discriminating between 'successful' and 'unsuccessful' fanfics.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.ancejournal | RASSEGNA ITALIANA DI LINGUISTICA APPLICATA | en |
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | en |
| dc.authority.people | Dominique Brunato | en |
| dc.authority.people | Andrea Mattei | en |
| dc.authority.people | Felice Dell'Orletta | en |
| dc.collection.id.s | b3f88f24-048a-4e43-8ab1-6697b90e068e | * |
| dc.collection.name | 01.01 Articolo in rivista | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.contributor.area | Non assegn | * |
| dc.contributor.area | Non assegn | * |
| dc.date.accessioned | 2024/02/21 06:39:39 | - |
| dc.date.available | 2024/02/21 06:39:39 | - |
| dc.date.firstsubmission | 2025/01/24 15:35:39 | * |
| dc.date.issued | 2022 | - |
| dc.date.submission | 2025/02/11 15:32:02 | * |
| dc.description.abstracteng | This paper presents a study aimed at characterizing the linguistic style of an emerging literary genre of the web, particularly appreciated by teens and young adults: fanfiction. By relying on Natural Language Processing approaches, and in particular on the methodology of linguistic profiling applied to a novel corpus of Italian fanfiction stories inspired by the fantasy saga "Harry Potter", we investigate the relationship between linguistic style and 'success', measured in terms of number of reviews obtained by the readers. We show that it is possible to detect a set of features, among a wide set of linguistic ones modeling lexical, morpho-syntactic and syntactic phenomena, which help more in discriminating between 'successful' and 'unsuccessful' fanfics. | - |
| dc.description.affiliations | Istituto di Linguistica Computazionale "A. Zampolli" (ILC-CNR), Università di Pisa, Istituto di Linguistica Computazionale "A. Zampolli" (ILC-CNR) | - |
| dc.description.allpeople | Brunato, Dominique; Mattei, Andrea; Dell'Orletta, Felice | - |
| dc.description.allpeopleoriginal | Dominique Brunato, Andrea Mattei, Felice Dell'Orletta | en |
| dc.description.fulltext | restricted | en |
| dc.description.numberofauthors | 3 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/414977 | - |
| dc.language.iso | ita | en |
| dc.miur.last.status.update | 2025-02-19T17:07:27Z | * |
| dc.relation.firstpage | 171 | en |
| dc.relation.lastpage | 189 | en |
| dc.relation.numberofpages | 19 | en |
| dc.relation.volume | 2021/3 | en |
| dc.subject.keywords | stilometria computazionale | - |
| dc.subject.keywords | linguistic profiling | - |
| dc.subject.keywords | fanfiction | - |
| dc.subject.singlekeyword | stilometria computazionale | * |
| dc.subject.singlekeyword | linguistic profiling | * |
| dc.subject.singlekeyword | fanfiction | * |
| dc.title | Analisi della scrittura giovanile da una prospettiva linguistico-computazionale: il caso di studio della Fanfiction | en |
| dc.type.circulation | Internazionale | en |
| dc.type.driver | info:eu-repo/semantics/article | - |
| dc.type.full | 01 Contributo su Rivista::01.01 Articolo in rivista | it |
| dc.type.impactfactor | si | en |
| dc.type.miur | 262 | - |
| dc.type.referee | Esperti anonimi | en |
| dc.ugov.descaux1 | 474123 | - |
| iris.mediafilter.data | 2025/04/06 02:42:36 | * |
| iris.orcid.lastModifiedDate | 2025/02/24 17:51:43 | * |
| iris.orcid.lastModifiedMillisecond | 1740415903998 | * |
| iris.sitodocente.maxattempts | 1 | - |
| Appare nelle tipologie: | 01.01 Articolo in rivista | |
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