Call for Submissions: Digital Pride
Summary
The Electronic Frontier Foundation (EFF) and the Queer Arts Collective are inviting submissions for "Digital Pride," a creative space exploring digital justice and artistic expression. They seek 5-9 art pieces, including writing (fiction, nonfiction, poetry) and visual arts (photography, drawing, painting), that offer fresh, historically censored takes on digital liberation, particularly from underrepresented perspectives. Submissions, which can be previously published, are due by June 30, 2026, to paige+pride@eff.org. Selected artists will receive \$25-\$50, retain all legal rights, and grant a non-exclusive, non-time-limited license for publication on EFF and Queer Arts Collective websites. Transparency regarding AI use is valued but not disqualifying.
Key takeaway
For artists and creators focused on digital justice, this call offers a unique opportunity to showcase your work and contribute to a vital conversation. You should consider submitting original pieces exploring digital liberation, especially from underrepresented perspectives, by June 30, 2026. Ensure transparency by disclosing any AI use in your application, as this fosters community and understanding of labor exchange.
Key insights
EFF and Queer Arts Collective seek art exploring digital liberation from underrepresented perspectives.
Principles
- Transparency regarding AI use in submissions is valued.
- Digital liberation encompasses joy, sorrow, and technology for good.
Method
Submit original art pieces (max 1500 words for fiction/nonfiction, 2 poems, 1 artwork) via email to paige+pride@eff.org by June 30, 2026, with a short bio.
In practice
- Disclose any AI use in your application.
- Adhere to specific length guidelines.
- Submit only one piece or contained series.
Topics
- Digital Justice
- Queer Rights
- Art Submissions
- Digital Liberation
- Surveillance
- AI Disclosure
- Non-exclusive Licensing
Best for: Creative Technologist, AI Ethicist, Legal Professional
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Editorial summary, takeaway, and curation by AIssential. Original article published by Deeplinks.