Çağrı Toraman

E-mail

ctoraman@metu.edu.tr

Department

Department of Computer Engineering

Detecting Misinformation on Social Media using Community Insights and Contrastive Learning Ozcelik, Oguzhan; Toraman, Çağrı; Can, Fazli (2025-02-17) Social media users are more likely to be exposed to similar views and tend to avoid contrasting views, especially when they are part of a community of social media users. In this study, we investigate the presence of user ...
Constructing ensembles for hate speech detection Kucukkaya, Izzet Emre; Toraman, Çağrı (2024-09-13) Hate speech against individuals and groups with certain demographics is a major issue in social media. Supervised models for hate speech detection mostly utilize labeled data collections to understand textual semantics. Ho...
Adapting Open-Source Generative Large Language Models for Low-Resource Languages: A Case Study for Turkish Toraman, Çağrı (2024-01-01) Despite advancements in English-dominant generative large language models, further development is needed for low-resource languages to enhance global accessibility. The primary methods for representing these languages are ...
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets Muti, Arianna; Ruggeri, Federico; Toraman, Çağrı; Musetti, Lorenzo; Algherini, Samuel; Ronchi, Silvia; Saretto, Gianmarco; Zapparoli, Caterina; Barrón-Cedeño, Alberto (2024-01-01) Misogyny is often expressed through figurative language. Some neutral words can assume a negative connotation when functioning as pejorative epithets. Disambiguating the meaning of such terms might help the detection of mi...
JL-Hate: An Annotated Dataset for Joint Learning of Hate Speech and Target Detection Buyukdemirci, Kaan; Kucukkaya, Izzet Emre; Olmez, Eren; Toraman, Çağrı (2024-01-01) The detection of hate speech is a subject extensively explored by researchers, and machine learning algorithms play a crucial role in this domain. The existing resources mostly focus on text sequence classification for the...
MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection Toraman, Çağrı; Ozcelik, Oguzhan; Şahinuç, Furkan; Can, Fazli (2024-01-01) The rapid dissemination of misinformation through online social networks poses a pressing issue with harmful consequences jeopardizing human health, public safety, democracy, and the economy; therefore, urgent action is re...
ARC-NLP at ClimateActivism 2024: Stance and Hate Speech Detection by Generative and Encoder Models Optimized with Tweet-Specific Elements Kaya, Ahmet Kagan; Ozcelik, Oguzhan; Toraman, Çağrı (2024-01-01) Social media users often express hate speech towards specific targets and may either support or refuse activist movements. The automated detection of hate speech, which involves identifying both targets and stances, plays ...
The effect of gender bias on hate speech detection Sahinuc, Furkan; Yilmaz, Eyup Halit; Toraman, Çağrı; Koc, Aykut (2023-06-01) Hate speech against individuals or communities with different backgrounds is a major problem in online social networks. The domain of hate speech has spread to various topics, including race, religion, and gender. Although...
Impact of Tokenization on Language Models: An Analysis for Turkish Toraman, Çağrı; Yilmaz, Eyup Halit; Sahinuc, Furkan; Ozcelik, Oguzhan (2023-03-25) Tokenization is an important text preprocessing step to prepare input tokens for deep languagemodels. WordPiece and BPE are de facto methods employed by important models, such as BERT and GPT. However, the impact of tokeni...
ARC-NLP at PAN 2023: Hierarchical Long Text Classification for Trigger Detection Sahin, Umitcan; Kucukkaya, Izzet Emre; Toraman, Çağrı (2023-01-01) Fanfiction, a popular form of creative writing set within established fictional universes, has gained a substantial online following. However, ensuring the well-being and safety of participants has become a critical concer...

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