• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Faculty of Mathematics and Natural Sciences
  • Department of Informatics
  • Department of Informatics
  • View Item
  •   Home
  • Faculty of Mathematics and Natural Sciences
  • Department of Informatics
  • Department of Informatics
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Newsenhancer

Nerdal, Sindre Lilland
Master thesis
Thumbnail
View/Open
master thesis (5.566Mb)
URI
https://hdl.handle.net/1956/19618
Date
2018-08-23
Metadata
Show full item record
Collections
  • Department of Informatics [540]
Abstract
This thesis describes a web browser plugin called NewsEnhancer, which has the goal to make it more efficient to read the news. The plugin receives data from a server application, which continuously aggregates meta information from articles on various news sites. This meta information is then presented to the user through the plugin. This can help the user to decide whether or not to click a headline link, which then can make the reading process more efficient. The plugin is also community based, and enables users to report headlines, as clickbait or fake news, and submit summaries of articles. The reported headlines will be flagged for other users, as to signal that this has been reported as a clickbait or fake news. The submitted summary will appear alongside the other meta information.
Publisher
The University of Bergen
Copyright
Copyright the Author. All rights reserved

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit