Disclosure Matters: How Self-Disclosure Statements in Song Signing Videos Shape d/Deaf Audiences' Acceptance of Culturally Sensitive Content

Authors
Suhyeon Yoo, Somang Nam, Mark Chignell, Khai N. Truong
Year
2026
Publication
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)
DOI
10.1145/3772318.3790521

Summary

This CHI 2026 paper investigates whether self-disclosure statements (SDS) — short first-person texts in which a song signer describes their identity, motivations, training, and relationship to the Deaf community — can improve how d/Deaf audiences receive song signing videos on platforms like YouTube. Song signing (the performance of song lyrics through sign language, typically ASL) has grown rapidly online, largely produced by non-Deaf amateurs, and the Deaf community has raised persistent concerns about misrepresentation, incorrect signs being replicated by learners, and cultural appropriation for profit or clout. The authors, grounded in Cross-Cultural Adaptation Theory and Intergroup Contact Theory, frame SDS as a communicative design mechanism for positionality and trust-building. The work consists of two studies. Study 1 is a mixed-methods investigation with 11 hearing and hard-of-hearing song signers interviewed via Zoom plus 50 d/Deaf and hearing viewers surveyed about what they want song signers to disclose — producing a catalogue of 8 SDS elements with rationales, trade-offs, and drawbacks. Study 2 is a within-subjects controlled experiment with 24 d/Deaf participants (12 Deaf, 12 Hard of Hearing) who rated four song signing videos both without and with guided SDS (600–1,050 words each), using 5-point scales, open-ended comments, and post-study semi-structured interviews.

Key Findings

Across all 24 d/Deaf participants, mean perception ratings rose from 3.11 (video only) to 3.58 (video + SDS), a statistically significant improvement (Mann–Whitney U=2053, p=.027, r=-.20). The effect was driven almost entirely by Deaf participants, whose ratings rose from 2.50 to 3.08 (p=.042, Kendall's tau r=.73 — a strong positive correlation between SDS presence and rating). Hard-of-hearing participants showed a smaller, non-significant change (3.78 to 4.33, p=.184). The three SDS elements participants rated most important were song signing style (MD=5), sign language used (MD=5), and relationship to the Deaf community (MD=4.5) — confirming that Deaf viewers care most about cultural-linguistic precision and community positioning. The full 8-element catalogue includes: signing style, relationship to the Deaf community, sign language used, background, limitations, Deaf education/certification, experience, and motivation. Caveats surfaced: some limitation statements read as "self-deprecating" and lowered viewer confidence; oversharing personal detail exposed performers to harassment (one signer reported having an SDS weaponised against her); and some participants felt SDS risked distracting from the performance itself.

Relevance to Practice

For accessibility practitioners working on social-video platforms, Deaf-community content, or cross-cultural creator tools, this paper gives concrete, evidence-backed guidance on what to disclose and how. The 8-element SDS framework is directly usable as a template or authoring scaffold for creators working outside a community they represent. For platform designers, the finding that Deaf viewers respond strongly to positionality cues — while Hard-of-Hearing viewers do not — argues against one-size-fits-all disclosure UI and in favour of audience-aware presentation. The authors' recommendations on placement (non-intrusive overlays, text annotations, and structured narratives that avoid overshadowing the performance) translate to captioning, content-moderation, and creator-tool design more broadly. Key limitations: the sample is small (N=24 for Study 2), Study 1 deliberately excluded Deaf song signers (only examined non-Deaf disclosers), and video stimuli were limited to four pop/hip-hop tracks with varied caption styles. The work extends beyond song signing to any HCI context where cultural outsiders produce content — AI-generated sign language, ally-led disability storytelling, or cross-cultural translation platforms all face the same disclosure design problem.