toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Records Links
Author Fedor Vitiugin; Carlos Castillo pdf  isbn
openurl 
  Title (down) Comparison of Social Media in English and Russian During Emergencies and Mass Convergence Events Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages  
  Keywords Social Media, Crisis Informatics, Twitter, Information Extraction.  
  Abstract Twitter is used for spreading information during crisis events. In this paper, we first retrieve event-related information

posted in English and Russian during six disasters and sports events that received wide media coverage in both

languages, using an adaptive information filtering method for automating the collection of about 100 000 messages.

We then compare the contents of these messages in terms of 17 informational and linguistic features using a

difference in differences approach. Our results suggest that posts in each language are focused on different types

of information. For instance, almost 50% of the popular people mentioned in these messages appear exclusively

in either the English messages or the Russian messages, but not both. Our results also suggest differences in the

adoption of platform mechanics during crises between Russian-speaking and English-speaking users. This has

important implications for data collection during crises, which is almost always focused on a single language.
 
  Address Independent;Universitat Pompeu Fabra  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 1916  
Share this record to Facebook
 

 
Author Humaira Waqas; Muhammad Imran pdf  isbn
openurl 
  Title (down) #CampFireMissing: An Analysis of Tweets About Missing and Found People From California Wildfires Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages  
  Keywords social media, Twitter, missing and found people, California wildfires, disaster response  
  Abstract Several research studies have shown the importance of social media data for humanitarian aid. Among others,

the issue of missing and lost people during disasters and emergencies is crucial for disaster managers. This work

analyzes Twitter data from a recent wildfire event to determine its usefulness for the mitigation of the missing and

found people issue. Data analysis performed using various filtering techniques, and trend analysis revealed that

Twitter contains important information potentially useful for emergency managers and volunteers to tackle this

issue. Many tweets were found containing full names, partial names, location information, and other vital clues

which could be useful for finding missing people.
 
  Address Qatar Computing Research Institute, Qatar  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1915  
Share this record to Facebook
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: