Emojis as Affective Signals for Sarcasm Detection: An Empirical Analysis Informing EmoCentricSarcBERT and Its Application in the RADMAD Framework for Toxicity Mitigation in Online Discourse

Grover, Vandita

Open source

DOI
10.5281/zenodo.21297665
Published
2026
Container
Not recorded
Publisher
Zenodo
Open access
yes

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BibTeX

@article{allodium:10.5281/zenodo.21297665,
  title = {Emojis as Affective Signals for Sarcasm Detection: An Empirical Analysis Informing EmoCentricSarcBERT and Its Application in the RADMAD Framework for Toxicity Mitigation in Online Discourse},
  author = {Grover, Vandita},
  year = {2026},
  doi = {10.5281/zenodo.21297665},
  url = {https://doi.org/10.5281/zenodo.21297665}
}

RIS

TY  - JOUR
TI  - Emojis as Affective Signals for Sarcasm Detection: An Empirical Analysis Informing EmoCentricSarcBERT and Its Application in the RADMAD Framework for Toxicity Mitigation in Online Discourse
AU  - Grover, Vandita
PY  - 2026
DO  - 10.5281/zenodo.21297665
UR  - https://doi.org/10.5281/zenodo.21297665
ER  - 

APA

Vandita, G. (2026). Emojis as Affective Signals for Sarcasm Detection: An Empirical Analysis Informing EmoCentricSarcBERT and Its Application in the RADMAD Framework for Toxicity Mitigation in Online Discourse. https://doi.org/10.5281/zenodo.21297665

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