China
Africa
Explore chapters and articles related to this topic
Cloud computing for big data
Published in Jun Deng, Lei Xing, Big Data in Radiation Oncology, 2019
Google has successfully used the MapReduce framework for a variety of tasks such as index building for Google Search, article clustering for Google News, and statistical machine translation. Facebook has also employed a similar technology for ad placement optimization and spam detection. The success of MapReduce stems specifically from the power of MapReduce for processing very large data sets with no data transfer bottlenecks. MapReduce however is not well suited for compute-intensive tasks or for iterative operations, mainly due to the launching overhead that comes with any round of computations even when repeating the same task.
Happiness and counterfactual thinking at the 2016 Summer Olympic Games
Published in Journal of Sports Sciences, 2019
Mark S. Allen, Sarah J. Knipler, Amy Y. C. Chan
At the 2016 Olympic Games, it is common for athletes to discuss the competition with their national media and direct quotations from medallists are often included in news articles. These direct quotations were used to rate athlete counterfactual thought. The quotations were obtained from news articles listed on Google News. Google News is a free news aggregator provided and operated by Google that provides news reports from thousands of news websites. The search was conducted using the keywords: “2016 Rio Olympics” and “[silver/bronze] medal” and “[athlete name]” for all 156 medal events used in Study 1. Of the 156 medal events, we were able to locate 96 events in which quotations were available for both the silver medallist and bronze medallist. The 192 quotations are available in Supplementary File S3.
Exploring folk theories of algorithmic news curation for explainable design
Published in Behaviour & Information Technology, 2022
The Crawler assumption suggests that the Google News application uses an automatic bot called crawler: ‘[Google News] probably crawls through a variety of news. And then they identify that these news articles are about the same topic’ (P3). This theory was held by two participants, both having high expertise in computer science (13 statements). P3 clearly stated that this process is automatic and without any human influence, ‘There is no one who reads this. They automatically recognize this headline […]’. As P12 summed up: ‘There is a bot crawler that automatically scans the Internet. This is done by an index that Google has put together. The bot archives that on the Google servers’.