The MISOMEM-Val Dataset for Identifying Human Values in Misogynistic Memes

Rakshitha Rao Ailneni; Sanda Harabagiu

doi:10.63317/2x5tsyz2ejnm

The MISOMEM-Val Dataset for Identifying Human Values in Misogynistic Memes

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Abstract

We present MISOMEM-Val, the first dataset that systematically annotates human values across Frames of Misogyny (FoMs) derived from misogynistic memes. Extending the Taxonomy of Misogyny, each frame is linked to the Human Value Hierarchy (HVH) with annotated support and ignore stances and accompanying rationales. In total, 1089 frames were annotated, comprising 3,051 support and 7,007 ignore value instances. We introduce Hierarchical Value Discovery with Human Feedback (HVD-HF), an LLM-assisted annotation framework combining Chain-of-Thought prompting and self-consistency verification to ensure transparency and quality. The annotation analysis reveals systematic asymmetries—Conservation and Self-Enhancement are frequently supported, while Self-Transcendence is often ignored, thus highlighting how misogynistic memes distort core human values.

Anthology ID:: 2026.lrec-1.319
Volume:: Proceedings of the Fifteenth Language Resources and Evaluation Conference
Month:: May
Year:: 2026
Address:: Palma de Mallorca, Spain
Editors:: Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral
Venue:: LREC
SIG:
Publisher:: ELRA Language Resource Association
Note:
Pages:: 4031–4047
Language:
External URL:: https://lrec.elra.info/lrec2026-main-319
DOI:: 10.63317/2x5tsyz2ejnm
Bibkey:
Cite (ACL):: Rakshitha Rao Ailneni and Sanda Harabagiu. 2026. The MISOMEM-Val Dataset for Identifying Human Values in Misogynistic Memes. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 4031–4047, Palma de Mallorca, Spain. ELRA Language Resource Association.
Cite (Informal):: The MISOMEM-Val Dataset for Identifying Human Values in Misogynistic Memes (Ailneni & Harabagiu, LREC 2026)
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@inproceedings{ailneni-harabagiu-2026-misomem,
    title = "The {MISOMEM}-Val Dataset for Identifying Human Values in Misogynistic Memes",
    author = "Ailneni, Rakshitha Rao  and
      Harabagiu, Sanda",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://aclanthology.org/2026.lrec-1.319/",
    doi = "10.63317/2x5tsyz2ejnm",
    pages = "4031--4047",
    abstract = "We present MISOMEM-Val, the first dataset that systematically annotates human values across Frames of Misogyny (FoMs) derived from misogynistic memes. Extending the Taxonomy of Misogyny, each frame is linked to the Human Value Hierarchy (HVH) with annotated support and ignore stances and accompanying rationales. In total, 1089 frames were annotated, comprising 3,051 support and 7,007 ignore value instances. We introduce Hierarchical Value Discovery with Human Feedback (HVD-HF), an LLM-assisted annotation framework combining Chain-of-Thought prompting and self-consistency verification to ensure transparency and quality. The annotation analysis reveals systematic asymmetries{---}Conservation and Self-Enhancement are frequently supported, while Self-Transcendence is often ignored, thus highlighting how misogynistic memes distort core human values."
}

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%0 Conference Proceedings
%T The MISOMEM-Val Dataset for Identifying Human Values in Misogynistic Memes
%A Ailneni, Rakshitha Rao
%A Harabagiu, Sanda
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F ailneni-harabagiu-2026-misomem
%X We present MISOMEM-Val, the first dataset that systematically annotates human values across Frames of Misogyny (FoMs) derived from misogynistic memes. Extending the Taxonomy of Misogyny, each frame is linked to the Human Value Hierarchy (HVH) with annotated support and ignore stances and accompanying rationales. In total, 1089 frames were annotated, comprising 3,051 support and 7,007 ignore value instances. We introduce Hierarchical Value Discovery with Human Feedback (HVD-HF), an LLM-assisted annotation framework combining Chain-of-Thought prompting and self-consistency verification to ensure transparency and quality. The annotation analysis reveals systematic asymmetries—Conservation and Self-Enhancement are frequently supported, while Self-Transcendence is often ignored, thus highlighting how misogynistic memes distort core human values.
%R 10.63317/2x5tsyz2ejnm
%U https://aclanthology.org/2026.lrec-1.319/
%U https://doi.org/10.63317/2x5tsyz2ejnm
%P 4031-4047

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Markdown (Informal)

[The MISOMEM-Val Dataset for Identifying Human Values in Misogynistic Memes](https://aclanthology.org/2026.lrec-1.319/) (Ailneni & Harabagiu, LREC 2026)

The MISOMEM-Val Dataset for Identifying Human Values in Misogynistic Memes (Ailneni & Harabagiu, LREC 2026)

ACL

Rakshitha Rao Ailneni and Sanda Harabagiu. 2026. The MISOMEM-Val Dataset for Identifying Human Values in Misogynistic Memes. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 4031–4047, Palma de Mallorca, Spain. ELRA Language Resource Association.