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20132020
most citedWhy We Read Wikipedia

90 citations · 198 across the 8 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CY2018

Why the World Reads Wikipedia: Beyond English Speakers

Florian Lemmerich, Diego Sáez-Trumper, Robert West +1

As one of the Web's primary multilingual knowledge sources, Wikipedia is read by millions of people across the globe every day. Despite this global readership, little is known abou…

cs.CL2018

Churn Intent Detection in Multilingual Chatbot Conversations and Social Media

Christian Abbet, Meryem M'hamdi, Athanasios Giannakopoulos +4

We propose a new method to detect when users express the intent to leave a service, also known as churn. While previous work focuses solely on social media, we show that this inten…

cs.IR2018

Structuring Wikipedia Articles with Section Recommendations

Tiziano Piccardi, Michele Catasta, Leila Zia +1

Sections are the building blocks of Wikipedia articles. They enhance readability and can be used as a structured entry point for creating and expanding articles. Structuring a new…

cs.SI2018

Latent Structure in Collaboration: the Case of Reddit r/place

Jérémie Rappaz, Michele Catasta, Robert West +1

Many Web platforms rely on user collaboration to generate high-quality content: Wiki, Q&A communities, etc. Understanding and modeling the different collaborative behaviors is ther…

cs.SI2018

How Constraints Affect Content: The Case of Twitter's Switch from 140 to 280 Characters

Kristina Gligorić, Ashton Anderson, Robert West

It is often said that constraints affect creative production, both in terms of form and quality. Online social media platforms frequently impose constraints on the content that use…

cs.SI2018

Quootstrap: Scalable Unsupervised Extraction of Quotation-Speaker Pairs from Large News Corpora via Bootstrapping

Dario Pavllo, Tiziano Piccardi, Robert West

We propose Quootstrap, a method for extracting quotations, as well as the names of the speakers who uttered them, from large news corpora. Whereas prior work has addressed this pro…