Pro-Animal Wikipedians  - Empowering Knowledge for Animals

Join Pro-Animal Wikipedians (PAW) in enhancing Wikipedia's coverage of animal sentience and veganism. We ensure that evidence-based information guides public understanding and the AI systems trained on it. Volunteer with us to make a meaningful impact.

Editing the world’s most influential knowledge platform for animals 

Small wild boar searching for food under grass during winter time.

A world where AI and public knowledge understand and accurately represent animals as sentient beings.

We host workshops to train volunteers on effective Wikipedia editing and responsible sourcing techniques.

Community Workshops & Training

Raising awareness about the importance of reliable information on food systems through online and community initiatives.

Public Awareness Campaigns

Building partnerships with experts and organizations to broaden our impact and resource accessibility.

Rowing boat in Yarra River near Southbank, Melbourne

Outreach & Collaboration

We identify gaps in high-impact Wikipedia pages and rigorously fact-check every contribution. Our editors work with peer-reviewed research, verified data, and expert guidance to ensure that animal-related information online is accurate, balanced, and rooted in evidence.

Competitive Analysis identifies and evaluates the business strategies of your competitors, resulting in the analysis of strengths, weaknesses, opportunities and threats (SWOT) for your product relative to the competitors’ in a business ecosystem. Further analysis may provide an insight to your product strategy.

The analysis is often conducted in the early stages of product development. As the dynamics of products in the ecosystem change rapidly, many companies have embraced agile competitive analysis as a part of their product strategy.


Research & Fact-Checking

We strengthen the quality of AI training data by improving the Wikipedia pages that large language models learn from. By ensuring these entries are precise, responsibly sourced, and free from bias, we help shape how future AI systems understand animals, ethics, and food systems.

Improving What AI Learns

We update, expand, and refine Wikipedia content across languages to make it pro-animal. We train and coordinate a global network of volunteers, host weekly virtual edit-a-thons, and manage our shared Slack workspace where editors collaborate, learn, and support each other.

Content Improvement & Editing

What We Do

Providing training sessions on best practices for editing Wikipedia and understanding animal and plant-based food systems.

Educational Workshops & Webinars

Building awareness and fostering collaboration among animal welfare advocates and researchers to expand the reach and impact of accurate information.

Community Engagement & Outreach

<ul><li>~8% of ChatGPT’s citations (48% among top-10 websites) come from Wikipedia</li><li>Wikipedia is one of the most-cited domains across all major AI models</li></ul>

AI Systems Rely Heavily on Wikipedia

<ul><li>Wikipedia edits have been shown (via RCTs) to:<ul><li>Increase tourism decisions</li><li>Influence court rulings</li><li>Shape scientific papers almost as strongly as top academic journals</li></ul></li></ul>

Real-World Behaviour Changes from Simple Edits

<ul><li>15–20 billion monthly pageviews across Wikipedia projects</li><li>Wikipedia is among the 10 most-visited websites</li></ul>

Multi-ethnic group of people are doing high-five talking and laughing in creative shared office during staff meeting. Communication and cooperation concept.

Global Human Reach

<ul><li>Wikipedia is the second-largest source in Google’s C4 dataset and is trained on multiple passes → disproportionate influence on LLMs</li></ul>

Training Data Weight

Why We Edit

Alexa is a movement builder and organizational generalist with a background in project management, operations, and volunteer leadership. She oversees PAW’s community ecosystem, impact measurement, workflow automation, and fundraising. As Director &amp; Founder, she shapes the strategic vision of PAW, driving its role in improving how AI and global knowledge systems represent animals.

Alexa Gnauck 

Director &amp; Founder

Jan is an aspiring researcher and animal advocate with a background in astrophysics. He brings 12+ years of experience as a Wikipedia author as well as quantitative and research skills. He contributes to strategic planning and implementation, leads Wikipedia project coordination, and supports volunteer training and community communication.

Jan Gaida 

Strategy &amp; Research

Team

We are on track to get more pageviews than there are people in the UK within two years. I'm realizing that the most widely seen piece of writing I ever do will almost certainly be a Wikipedia edit - and it probably won't be close.

In the AI x animal space, scalable engagement opportunities are incredibly rare. PAW has created one. By coordinating a supportive, structured community on Slack, they’ve enabled people everywhere to strengthen public knowledge and AI training data in a pro-animal direction.