Urban legends are viral deceptive texts, in between credible and incredible.To be credible they mimic news articles while being incredible like a fairy tale.High level features: "who/where/when" of news, "emotional/readable" of fairy tales.Quantitative analysis and machine learning experiments for recognizing urban legends. Urban legends are a genre of modern folklore, consisting of stories about rare and exceptional events, just plausible enough to be believed, which tend to propagate inexorably across communities. In our view, while urban legends represent a form of "sticky" deceptive text, they are marked by a tension between the credible and incredible. They should be credible like a news article and incredible like a fairy tale to go viral. In particular we will focus on the idea that urban legends should mimic the details of news (who, where, when) to be credible, while they should be emotional and readable like a fairy tale to be catchy and memorable. Using NLP tools we will provide a quantitative analysis of these prototypical characteristics. We also lay out some machine learning experiments showing that it is possible to recognize an urban legend using just these simple features.

Why do urban legends go viral?

Guerini, Marco;Strapparava, Carlo
2016-01-01

Abstract

Urban legends are viral deceptive texts, in between credible and incredible.To be credible they mimic news articles while being incredible like a fairy tale.High level features: "who/where/when" of news, "emotional/readable" of fairy tales.Quantitative analysis and machine learning experiments for recognizing urban legends. Urban legends are a genre of modern folklore, consisting of stories about rare and exceptional events, just plausible enough to be believed, which tend to propagate inexorably across communities. In our view, while urban legends represent a form of "sticky" deceptive text, they are marked by a tension between the credible and incredible. They should be credible like a news article and incredible like a fairy tale to go viral. In particular we will focus on the idea that urban legends should mimic the details of news (who, where, when) to be credible, while they should be emotional and readable like a fairy tale to be catchy and memorable. Using NLP tools we will provide a quantitative analysis of these prototypical characteristics. We also lay out some machine learning experiments showing that it is possible to recognize an urban legend using just these simple features.
File in questo prodotto:
File Dimensione Formato  
paper.pdf

non disponibili

Tipologia: Documento in Pre-print
Licenza: DRM non definito
Dimensione 309.41 kB
Formato Adobe PDF
309.41 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/306351
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact