Abstract
The negative consequences of cyberbullying are becoming more alarming every day and technical solutions that allow for taking appropriate action by means of automated detection are still very limited. Up until now, studies on cyberbullying detection have focused on individual comments only, disregarding context such as users’ characteristics and profile information. In this paper we show that taking user context into account improves the detection of cyberbullying.
Original language | Undefined |
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Title of host publication | Proceedings of the 35th European Conference on IR Research, ECIR 2013 |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 693-696 |
Number of pages | 4 |
ISBN (Print) | 978-3-642-36972-8 |
DOIs | |
Publication status | Published - Mar 2013 |
Event | 35th European Conference on Information Retrieval, ECIR 2013: (IR Resarch) - Moscow, Russian Federation Duration: 24 Mar 2013 → 27 Mar 2013 Conference number: 35 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Volume | 7814 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 35th European Conference on Information Retrieval, ECIR 2013 |
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Abbreviated title | ECIR |
Country/Territory | Russian Federation |
City | Moscow |
Period | 24/03/13 → 27/03/13 |
Keywords
- EWI-23141
- METIS-296338
- Cyberbullying Detection
- Harassment Detection
- IR-85503
- Sentiment Analysis