CollAnon
collAnon is an open-source application that allows anonymous collaborative collection, filtering and analysis of text documents or survey data. It helps protect privacy while enabling crowdsourced knowledge.
anonymity
privacy
collaboration
crowdsourcing
text-analysis
collAnon: Anonymous Collaborative Collection & Analysis Tool
Open-source application for protecting privacy while enabling crowdsourced knowledge, supporting text document or survey data collection, filtering and analysis.
What is CollAnon?
collAnon is an open-source web application developed for anonymous collaborative collection, filtering and analysis of text documents or survey data. It enables groups to securely collect, filter and analyze sensitive information without compromising privacy.
Some key features of collAnon include:
- Anonymous data submission via Tor to protect identities
- Customizable surveys for data collection
- Collaborative tagging and filtering of submissions
- Visual analysis tools of filtered data sets
- Exporting data while maintaining anonymity
collAnon is useful for gathering sensitive information for research or analysis, such as experiences with abuse, corruption, human rights violations etc. The anonymity ensures sources are protected while the collaborative analysis features enable insights to be derived safely and ethically. Overall, collAnon facilitates responsible and privacy-preserving research and investigation.
CollAnon Features
Features
- Anonymous collection of text documents or survey data
- Collaborative filtering and analysis of collected data
- Open-source application
- Protects privacy while enabling crowdsourced knowledge
Pricing
- Open Source
Pros
Anonymous data collection promotes honest feedback
Collaborative analysis enables crowdsourced knowledge
Open-source allows customization and transparency
Protects privacy of contributors
Cons
Anonymity could lead to abuse
Collaborative analysis risks groupthink
Open-source requires technical expertise
Privacy focus limits accountability
Official Links
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