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Updated: Jul 25, 2025

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Hope speech detection in Spanish: The LGBT case.

Daniel García-Baena1, Miguel Ángel García-Cumbreras2, Salud María Jiménez-Zafra2

  • 1I.E.S. San Juan de la Cruz, Jaén, Spain.

Language Resources and Evaluation
|June 26, 2023
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Summary
This summary is machine-generated.

This study introduces "hope speech" detection to promote positivity online. It presents SpanishHopeEDI, a new dataset for analyzing hopeful messages within the LGBT community, aiding in combating discrimination.

Keywords:
Diversity and inclusionHope speechLanguage that promotes equalityLanguage that relaxes hostile environmentsNatural language processing

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Area of Science:

  • Computational Linguistics
  • Social Computing
  • Natural Language Processing

Background:

  • Online content moderation increasingly focuses on detecting abusive and hateful language.
  • Existing methods primarily target negative speech, leaving a gap in promoting positive online discourse.
  • Hope speech, defined as language that alleviates distress and inspires positivity, offers a counter-narrative to online negativity.

Purpose of the Study:

  • To conduct a comprehensive review of existing hope speech detection solutions and resources.
  • To introduce and describe the SpanishHopeEDI dataset, a novel resource for Spanish-language hope speech analysis focused on the LGBT community.
  • To establish baseline experimental results for future research in automated hope speech detection.

Main Methods:

  • Literature review of current hate speech, offensive language, and abusive language detection systems.
  • Dataset creation: SpanishHopeEDI, a curated Twitter dataset specifically for the LGBT community.
  • Experimental analysis to provide baseline performance metrics for hope speech detection.

Main Results:

  • A thorough analysis of existing approaches to online content moderation and hope speech.
  • The creation and release of SpanishHopeEDI, a valuable resource for studying positive online communication within a specific community.
  • Initial experimental findings that set a benchmark for future research in this domain.

Conclusions:

  • Automated detection and promotion of hope speech can significantly combat discrimination and foster healthier online environments.
  • The SpanishHopeEDI dataset represents a crucial step forward in enabling research on hope speech, particularly concerning marginalized communities.
  • Further research is warranted to build upon these findings and develop more robust hope speech detection systems.