The Hrant Dink Foundation cordially invites you to the “Detection of Hate Speech on Social Media” contest, which will be held as part of the Computational Social Sciences Session of the Signal Processing and Communication Applications Congress (SIU). The contest is taking place as part of the project"Utilizing Digital Technology for Social Cohesion, Positive Messaging and Peace by Boosting Collaboration, Exchange and Solidarity" sponsored by the European Union and Friedrich Naumann Foundation and in collaboration with Boğaziçi University and Sabancı University.
The goal of the Computational Social Sciences Congress is to raise awareness of hate speech, accelerate the development of interdisciplinary approaches for automated hate speech detection and analysis. Within the framework of the forum, the contest titled “Detection of Hate Speech on Social Media” will be organized, with the aim of cultivating innovative methods for detection of hate speech in Turkish-language texts. At the end of the contest, a joint workshop will be held where the participants will present their methods and promote cooperation and research in the field. The workshop aims to observe the level of improvement in Turkish hate speech detection.
The dataset to be used during the contest includes 5000 tweets in Turkish, containing 3 different topics (Israel-Palestine conflict, opposition towards Greeks and opposition towards refugees/migrants.) The data will be shared with the contestants, and the methods developed by the contestants will be evaluated based on the pre-determined criteria and performance measures. The elected method will be introduced for the benefit of CSOs and online platforms, especially for use by online media and academia.
Process: The training set will be shared with the contestants. Applications can be submitted for one or more of the sub-problems determined within the shared set.
Processing and Communication Applications Congress Site of the Congress Who can participate?
Official evaluation will be carried out over 4 specific sub-sets. The method developed by the contestants will be tested over the various data sets below:
Evaluation Criteria:
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This project is financed by the European Union.