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arXiv Computation and Language By Md. Nesarul Hoque, Rudra Pratap Deb Nath, Umme Salma, Shima Chakraborty, Md. Hanif Seddiqui

BenCoDiC: A Large-Scale Contextual Cyberbullying Corpus for Bengali Political News Discourse FULL VERSION

Read the original on arXiv Computation and Language →

The paper introduces BenCoDiC, a large Bengali cyberbullying corpus focused on political news discourse. It contains 50,250 textual instances from 100 YouTube videos, preserving caption–comment–reply relationships and organized via a nine‑dimensional star schema. A two‑tier human annotation process achieved high reliability (Fleiss' κ = 0.86, Krippendorff's α = 0.86), and transformer experiments show that adding conversational context modestly improves classification over isolated text.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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