PAN @ CLEF 2017
Symanto Group

This is the 17th evaluation lab on digital text forensics. PAN will be held as part of the CLEF conference in Dublin, Ireland, on September 11-14, 2017. Evaluations will commence from January till June. We invite you to take part in any of the three tasks shown below.

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Author Identification

Given a document, who wrote it?

This task focuses on author clustering and style breach detection. Author clustering will be done on short documents of paragraph length. Style breach detection has the goal of identifying breaches of writing style in longer texts.

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Author Profiling

Given a document, what're its author's traits?

This task focuses on gender and language variety identification on Twitter, providing a corpus of tweets annotated with gender and language variety.

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Author Obfuscation

Given a document, hide its author.

This task works against identification and profiling by automatically paraphrasing a text to obfuscate its author's style. The tasks offered are author masking and obfuscation evaluation.

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Rossano Schifanella

Profiling the sensorial, emotional and ironic life of a city

Rossano Schifanella
University of Turin

Researchers have used large quantities of online data to study dynamics in novel ways. Consider the specific case of online networked individuals sharing geo-located, multimodal, pieces of information in social media platforms, e.g., users of Twitter, Instagram, Facebook. Can their social dynamics be used to unveil the hidden dimensions that regulate the social life of our cities? To answer this question, our research has focused on understanding how people psychologically experience cities and, as a result, we have created new mapping tools that capture the aesthetic, olfactory and sonic layers of our cities, modeling happiness and use of figurative language, e.g., irony. The work presented in this talk mixes data mining, urban informatics, and computational social science to study how these dimensions relate to demographic, e.g., age or gender, and socio-economic factors, e.g., education, crime, race, or wealth, that characterize the profile of the modern urban fabric.

Rossano Schifanella is an Assistant Professor in Computer Science at the University of Turin, Italy, where he is a member of the Applied Research on Computational Complex Systems group. He is a visiting scientist at Nokia Bell Labs, Cambridge, UK, and a former visiting scientist at Yahoo Labs and at the Center for Complex Networks and Systems Research at Indiana University where he was applying computational methods to model social behavior in online platforms. His research embraces the creative energy of a range of disciplines across technology, computational social science, data visualization, and urban informatics. He is passionate about building new mapping tools that capture the sensorial layers of a city, and designing computational frameworks to model aesthetics, creativity, and figurative language in social media.

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