Aylan Kurdi, Twitter y la indignación efímera / Aylan Kurdi, Twitter and the short-lived outrage
نویسندگان
چکیده
منابع مشابه
Explorando Twitter mediante la Integración de Información Estructurada y No Estructurada
In this paper we show how it is possible to extract useful knowledge from Twitter structured information that can improve the results of a NLP task. Tweets are short and low quality and this makes it difficult to apply classical NLP techniques to this kind of texts. However, Twitter offers more than 140 characters in their messages to work with. In Twitter ecosystem there are many objects (twee...
متن کاملPlataforma web para la identificación y el análisis de eventos en Twitter
Resumen. Debido a la gran popularidad que han adquirido actualmente las redes sociales entre personas, empresas, figuras públicas etc., surge la necesidad de contar con métodos automáticos que faciliten la búsqueda, recuperación y análisis de grandes cantidades de información. Ante esto, el Analista de Reputación en Ĺınea (ARL) enfrenta el reto de identificar temas relevantes alrededor de un ev...
متن کاملDr. Abdur Chowdhury serves as Twitter’s Chief Scientist. Prior to that, Dr. Chowdhury co-founded Summize, a real-time search engine sold to Twitter in 2008. Dr. Chowdhury has held positions at AOL as their Chief Architect for Search, Georgetown’s Computer Science Department and University of Maryland’s Institute for Systems Research. His research interest lays in Information Retrieval focusing ...
متن کاملProfile of Paul Slovic.
On September 2, 2015, the image of three-year-old Syrian boy, Aylan Kurdi, lying face down on a Turkish beach sparked an international effort to aid refugees. Donations to charitable organizations surged, dwarfing the assistance to refugees since the violence in Syria began in 2011. Kurdi, however, was not the only person to drown that day in the Aegean Sea: Both his five-year-old brother and h...
متن کاملTwitter Catches The Flu: Detecting Influenza Epidemics using Twitter
With the recent rise in popularity and scale of social media, a growing need exists for systems that can extract useful information from huge amounts of data. We address the issue of detecting influenza epidemics. First, the proposed system extracts influenza related tweets using Twitter API. Then, only tweets that mention actual influenza patients are extracted by the support vector machine (S...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Revista Española de Investigaciones Sociológicas
سال: 2019
ISSN: 0210-5233,1988-5903
DOI: 10.5477/cis/reis.165.121