Implicitly Abusive Language – What does it actually look like and why are we not getting there? (2021.naacl-main)
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| Challenge: | Existing datasets make learning implicit abuse difficult, argues a new position paper . a lack of work on implicit abuse has limited the effectiveness of automatic detection . |
| Approach: | They argue that existing datasets make learning implicit abuse difficult . they propose a divide-and-conquer strategy to detect implicit abuse . |
| Outcome: | The proposed model could be improved to detect implicit abuse in a dataset with a standardized model. |
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| Challenge: | Using crowdsourcing, we can detect implicitly abusive comparisons . Abusive language is defined as hurtful, derogatory or obscene utterances made by one person to another . |
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| Challenge: | Current research focuses on explicit abusive language, but subtler forms of IAL remain insufficiently studied. |
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I Feel Offended, Don’t Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language (2020.lrec-1)
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| Challenge: | Recent literature suggests different approaches to identify abusive language phenomena . however, there is a lack of data sets that take into account the degree of explicitness . |
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| Challenge: | Currently, only explicit abuse can be reliably detected due to the increasing amount of abusive language on the Web. |
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| Challenge: | a new study shows that general abusive language classifiers are reliable in detecting explicit abuse but fail to detect more subtle abuses. |
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Identifying Implicitly Abusive Remarks about Identity Groups using a Linguistically Informed Approach (2022.naacl-main)
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| Challenge: | Existing datasets displaying high degree of implicit abuse are biased . current methods focus on explicit abuse, but there is little work on implicit forms of abuse . |
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| Challenge: | Recent studies have reported high classification performance on datasets with difficult cases of abusive language. |
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| Challenge: | implicitly abusive language is a language that could offend, demean or marginalize another person . a large portion of what is considered abusive language can be classified as implicitly abused . |
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| Challenge: | Abusive language is often defined as hurtful, derogatory or obscene utterances made by one person to another. |
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Don’t Augment, Rewrite? Assessing Abusive Language Detection with Synthetic Data (2024.findings-acl)
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| Challenge: | Existing datasets for abusive language detection and content moderation are limited by regulatory bodies and social media platforms. |
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