Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech

Conference proceeding

Open access

Jonathan Pofcher, Christopher M. Homan, Randall L. Sell and Ashiqur R. KhudaBukhsh

EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, pp 19862-19888

2025

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https://doi.org/10.18653/v1/2025.emnlp-main.1005View

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Title: Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech
Creators: Jonathan Pofcher - Rochester Institute of Technology
Christopher M. Homan - Rochester Institute of Technology
Randall L. Sell - Drexel University
Ashiqur R. KhudaBukhsh - Rochester Institute of Technology
Publication Details: EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, pp 19862-19888
Conference: 2025 Conference on Empirical Methods in Natural Language Processing (Suzhou, China)
Publisher: Association for Computational Linguistics
Number of pages: 27
Grant note: Rochester Institute of Technology (100015853)
Resource Type: Conference proceeding
Language: English
Academic Unit: Community Health and Prevention
Scopus ID: 2-s2.0-105040258890
Other Identifier: 991022195559704721