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Dergiler / Bitlis Eren Üniversitesi Fen Bilimleri Dergisi / 2026 / Volume: 14 Issue: 2

Hate Speech Detection In Social Media with Deep Learning And Language Models

Beste Akdik(MUĞLA SITKI KOÇMAN ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ)0000-0002-6691-445X
Güncel Sarıman(MUĞLA SITKI KOÇMAN ÜNİVERSİTESİ, TEKNOLOJİ FAKÜLTESİ, BİLİŞİM SİSTEMLERİ MÜHENDİSLİĞİ BÖLÜMÜ, BİLGİSAYAR YAZILIMI ANABİLİM DALI)0000-0003-3188-8869
Sayfa
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Yayın Tarihi
2025-06-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

On the other hand, although the success of the classical models was lower, they were more effective temporally.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Nowadays, hate speech has started to spread rapidly with the increasing use of social media.
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Temel Bulgular & Veri:Large social media companies are trying to prevent this situation and increase their service quality with the increasing number of users every day.
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Sonuç & Katkı:On the other hand, although the success of the classical models was lower, they were more effective temporally.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Natural Language Processing · Hate Speech · Deep Learning

Abstract

Nowadays, hate speech has started to spread rapidly with the increasing use of social media. Such abusive discourse can cause reputation damage and adversely affect psychological health. Large social media companies are trying to prevent this situation and increase their service quality with the increasing number of users every day. In this context, our study proposes a system that detects hate speech in texts and warns the user against hate speech. The project was implemented using machine learning, deep learning and language modeling techniques with a labeled hate speech dataset collected from various sources. The results show that BERTweet and DistilBERT language models achieved 90% accuracy. On the other hand, although the success of the classical models was lower, they were more effective temporally.

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Bu Makaleye Atıf Yap

Akdik, B., Sarıman, G. (2025). Hate Speech Detection In Social Media with Deep Learning And Language Models. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, Volume: 14 Issue: 2. https://doi.org/10.17798/bitlisfen.1637822

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