SubmissionNumber#=%=#11
FinalPaperTitle#=%=#Evaluating ChatGPT's Ability to Detect Hate Speech  in Turkish Tweets
ShortPaperTitle#=%=#
NumberOfPages#=%=#
CopyrightSigned#=%=#
JobTitle#==#
Organization#==#
Abstract#==#ChatGPT, developed by OpenAI, has made a significant impact on the world, mainly on how people interact with technology. In this study, we evaluate ChatGPT's ability to detect hate speech in Turkish tweets and measure its strength using zero- and few-shot paradigms and compare the results to the supervised fine-tuning BERT model. On evaluations with the SIU2023-NST dataset, ChatGPT achieved 65.81\% accuracy in detecting hate speech for the few-shot setting, while BERT with supervised fine-tuning achieved 82.22\% accuracy.  This results supports previous findings that show that, despite its much smaller size, BERT is more suitable for natural language classifications tasks such as hate speech detection.
Author{1}{Firstname}#=%=#Somaiyeh
Author{1}{Lastname}#=%=#Dehghan
Author{1}{Username}#=%=#so_dehghan
Author{1}{Email}#=%=#somaiyeh.dehghan@sabanciuniv.edu
Author{1}{Affiliation}#=%=#Sabanci University
Author{2}{Firstname}#=%=#Berrin
Author{2}{Lastname}#=%=#Yanikoglu
Author{2}{Username}#=%=#berrin
Author{2}{Email}#=%=#berrin@sabanciuniv.edu
Author{2}{Affiliation}#=%=#Sabanci University

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