Social Media Visual Analytics for Events

Autor:	Tayebeh Yazdani, Mor Naaman, Nicholas Diakopoulos, Funda Kivran-Swaine
Rok vydání:	2011
Předmět:	Visual analytics Computer science business.industry media_common.quotation_subject Sentiment analysis Context (language use) Interaction design Data science World Wide Web Presentation Analytics Social media business Cultural analytics media_common
Zdroj:	Social Media Modeling and Computing ISBN: 9780857294357 Social Media Modeling and Computing
DOI:	10.1007/978-0-85729-436-4_9
Popis:	For large-scale multimedia events such as televised debates and speeches, the amount of content on social media channels such as Facebook or Twitter can easily become overwhelming, yet still contain information that may aid and augment understanding of the multimedia content via individual social media items, or aggregate information from the crowd’s response. In this work we discuss this opportunity in the context of a social media visual analytic tool, Vox Civitas, designed to help journalists, media professionals, or other researchers make sense of large-scale aggregations of social media content around multimedia broadcast events. We discuss the design of the tool, present and evaluate the text analysis techniques used to enable the presentation, and detail the visual and interaction design. We provide an exploratory evaluation based on a user study in which journalists interacted with the system to analyze and report on a dataset of over one 100 000 Twitter messages collected during the broadcast of the U.S. State of the Union presidential address in 2010.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::130f080581bbe4d9fa510e009c1d7b0d https://doi.org/10.1007/978-0-85729-436-4_9 Zobrazit plný text záznamu