Output details
11 - Computer Science and Informatics
Robert Gordon University
Output title
Detection of News Feeds Items Appropriate for Children
Type
E - Conference contribution
Name of conference/published proceedings
Advances in Information Retrieval: Proceedings 34th European Conference on IR Research, ECIR 2012 (LNCS volume 7224)
Volume number
7224
Issue number
-
First page of article
63
ISSN of proceedings
1611-3349
Year of publication
2012
URL
-
Number of additional authors
2
Additional information
Filtering inappropriate content has often been the first choice approach in terms of protecting children from harmful content online. In this work this negative stance is reversed and the opposite question is considered: can we actively find appropriate content for children. Besides the challenge of the user group, the secondary challenge addressed in this work is how to handle content in short form, primarily news feed snippets that have a short document length. The main contribution is a classifier based on a combination of SVM and classic readability filters, traditionally used for assessing the comprehensibility of literature for different levels of educational attainment.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
