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Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset
Summary
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset is a scholarly article[1].
Key Facts
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantifying-controversy-from-stance-sentiment-offensiveness-and-sarcasm-a-fine-grained-controversy-intensity-measurement
MLA“Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantifying-controversy-from-stance-sentiment-offensiveness-and-sarcasm-a-fine-grained-controversy-intensity-measurement.
BibTeX@misc{4ortxyz_quantifying-controversy-from-stance-sentiment-offensiveness-and-sarcasm-a-fine-grained-controversy-intensity-measurement_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset}}, year = {2026}, url = {https://4ort.xyz/entity/quantifying-controversy-from-stance-sentiment-offensiveness-and-sarcasm-a-fine-grained-controversy-intensity-measurement}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset — https://4ort.xyz/entity/quantifying-controversy-from-stance-sentiment-offensiveness-and-sarcasm-a-fine-grained-controversy-intensity-measurement (retrieved 2026-05-24)
