Thirty shades of offensiveness: L1 and LX English users’ understanding, perception and self-reported use of negative emotion-laden words

By Jean–Marc Dewaele. 2016

72 citations recorded by the source corpus.

Subfields: Communication, Language and Linguistics, Sentiment & Opinion Analysis, Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Klint Qinami
2. Jia Deng
3. Olga Russakovsky
4. Kaiyu Yang
5. Li Fei-Fei

In Language and Linguistics

1. Klint Qinami
2. Jia Deng
3. Olga Russakovsky
4. Kaiyu Yang
5. Li Fei-Fei

In Sentiment & Opinion Analysis

1. Klint Qinami
2. Jia Deng
3. Olga Russakovsky
4. Kaiyu Yang
5. Li Fei-Fei

In Social Sciences & Humanities

1. Klint Qinami
2. Jia Deng
3. Olga Russakovsky
4. Kaiyu Yang
5. Li Fei-Fei

Citations in the corpus

• Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy (2019, methodology): “Thus, we do not adopt a 1-5 or 1-10 scale [8, 20] for offensiveness ratings.”