Hope Speech Detection
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Benchmarks
Most implemented
Hope Speech detection in under-resourced Kannada language
Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection
Hope Speech Detection on Social Media Platforms
IDIAP Submission@LT-EDI-ACL2022 : Hope Speech Detection for Equality, Diversity and Inclusion
Papers
AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse
Social media has become a crucial arena for shaping public narratives during armed conflicts, providing space for both harmful and constructive communication. While hate speech and misinformation have been widely studied…
Hope Speech Detectioncantnlp@DravidianLangTech 2026: organic domain adaptation improves multi-class hope speech detection in Tulu
This paper presents our systems and results for the Hope Speech Detection in Code-Mixed Tulu Language shared task at the Sixth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages (DravidianLangT…
Hope Speech DetectionText ClassificationDomain AdaptationGHaLIB: A Multilingual Framework for Hope Speech Detection in Low-Resource Languages
Hope speech has been relatively underrepresented in Natural Language Processing (NLP). Current studies are largely focused on English, which has resulted in a lack of resources for low-resource languages such as Urdu. As…
Multi-class ClassificationHope Speech DetectionBinary ClassificationHope Speech Detection in Social Media English Corpora: Performance of Traditional and Transformer Models
The identification of hope speech has become a promised NLP task, considering the need to detect motivational expressions of agency and goal-directed behaviour on social media platforms. This proposal evaluates tradition…
Hope Speech DetectionDetecting Hope Across Languages: Multiclass Classification for Positive Online Discourse
The detection of hopeful speech in social media has emerged as a critical task for promoting positive discourse and well-being. In this paper, we present a machine learning approach to multiclass hope speech detection ac…
Hope Speech DetectionMultilingual Hope Speech Detection: A Comparative Study of Logistic Regression, mBERT, and XLM-RoBERTa with Active Learning
Hope speech language that fosters encouragement and optimism plays a vital role in promoting positive discourse online. However, its detection remains challenging, especially in multilingual and low-resource settings. Th…
Hope Speech DetectionActive Learning