We present a data-driven linguistic approach for exploring the predominant targets of xenophobia-motivated behavior in Greece over time focusing on specific Target Groups of interest. We employ two principal data analytics workflows to produce the corresponding data insights; Event Analysis using news data from 7 different sources for the last two decades (1995-2016) capturing physical attacks along with the involved social actors, and Verbal Aggressiveness using Twitter data, locating xenophobic stances as expressed by Greeks in social media for the time period 2013-2016. The results indicate that examining physical and verbal aggression as indicators of xenophobic attitudes and combining News and Twitter data can provide important insights allowing to measure, monitor and comprehend xenophobia as a violent practice in Greece over time. Hence, our work constitutes a source of valuable information for journalists, political and social scientists, policy makers and all stakeholders interested in this complex social phenomenon, and can also serve as a storytelling and narrative framework.
@InProceedings{PONTIKI18.10, author = {Maria Pontiki ,Konstantina Papanikolaou and Haris Papageorgiou}, title = {Exploring the Predominant Targets of Xenophobia-motivated behavior: A longitudinal study for Greece}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Octavian Popescu and Carlo Strapparava}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-11-5}, language = {english} }
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