TY - GEN
T1 - Automatic thematic content analysis
T2 - 5th International Conference on Social Informatics, SocInfo 2013
AU - Odijk, Daan
AU - Burscher, Björn
AU - Vliegenthart, Rens
AU - De Rijke, Maarten
PY - 2013
Y1 - 2013
N2 - Framing in news is the way in which journalists depict an issue in terms of a 'central organizing idea.' Frames can be a perspective on an issue. We explore the automatic classification of four generic news frames: conflict, human interest, economic consequences, and morality. Complex characteristics of messages such as frames have been studied using thematic content analysis. Indicator questions are formulated, which are then manually coded by humans after reading a text and combined into a characterization of the message. We operationalize this as a classification task and, inspired by the way-of-working of media analysts, we propose a two-stage approach, where we first rate a news article using indicator questions for a frame and then use the outcomes to predict whether a frame is present. We approach human accuracy on almost all indicator questions and frames.
AB - Framing in news is the way in which journalists depict an issue in terms of a 'central organizing idea.' Frames can be a perspective on an issue. We explore the automatic classification of four generic news frames: conflict, human interest, economic consequences, and morality. Complex characteristics of messages such as frames have been studied using thematic content analysis. Indicator questions are formulated, which are then manually coded by humans after reading a text and combined into a characterization of the message. We operationalize this as a classification task and, inspired by the way-of-working of media analysts, we propose a two-stage approach, where we first rate a news article using indicator questions for a frame and then use the outcomes to predict whether a frame is present. We approach human accuracy on almost all indicator questions and frames.
U2 - 10.1007/978-3-319-03260-3_29
DO - 10.1007/978-3-319-03260-3_29
M3 - Conference paper
AN - SCOPUS:84892185916
SN - 9783319032597
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 333
EP - 345
BT - Social Informatics - 5th International Conference, SocInfo 2013, Proceedings
PB - Springer
Y2 - 25 November 2013 through 27 November 2013
ER -