Building Safer Digital Spaces Across Languages
An open multi-linguistic corpus and moderation tools designed to detect and prevent online gender-based violence.
Rooted in lived experiences, feminist practices and built for accountability, privacy, and user agency.
Problems in Online Safety
Invisible Harm
TFGBV remains unseen and unreported across languages and communities.
→ Why this matters
Multilingual Moderation Gaps
Platforms and developers lack local, multilingual data to detect abuse.
→ What's missing
Tech Developers Gap
Tech developers often lack gendered and intersectional understanding when building moderation systems.
→ Learn more
Evidence & Accountability Gaps
The absence of structured evidence slows justice and platform action.
→ How this affects usersHow MulCAM Works
Corpus
Open, Living Multilingual Corpus
An evolving, feedback-driven dataset of slurs, derogatory terms, and contextual harassment across languages.
- Grounded in lived experiences and feminist review practices
- Forms the foundation for detection, monitoring, and research on TFGBV
Detection & Moderation Tools
Ethical Detection & Moderation Tools (Ongoing)
Tools designed to detect, monitor, and flag gender-based harmful language—without stripping users of agency.
- Built as plug-ins, APIs, and security-layer integrations
- Enables user-controlled reporting, evidence recording, and handling
We build, maintain, and promote a multilingual corpus for digital safety research and moderation tools. How we do it?
Contribute
Share text datasets to build a robust multilingual resource.
Validate
Review and verify data to ensure accuracy and reliability.
Use
Explore the corpus and utilize data for research and applications.
Participate with Us
Build with Participatory Approaches
MuLCAM is grounded in community-driven practices, ensuring the corpus reflects lived experiences and feminist review principles.
Stakeholder Contributions
Your contributions shape the corpus. Community members, researchers, moderators, and rights-based organizations all play a vital role in building this resource.
Localized for Nepal's Languages
The corpus supports multiple languages and scripts used in Nepal, including Devanagari Nepali, Romanized Nepali, and other mother tongues.
Aligned with the Feminist Principles of the Internet
MuLCAM translates feminist values into technical and governance choices.
Safety across languages and contexts
Access
Governance, accountability, and justice by design
Rights
Open knowledge over platform extraction
Economy & Openness
Lived experiences at the center
Expression
Intersectional, consent-first systems
Embodiment
Join the Movement
Be part of a community that values openness, collaboration, and civic empowerment. Whether you're contributing text datasets, validating information, or utilizing the corpus, your involvement makes a difference.