A journey from a user interacting to contributing new information
Users gradually start from answering questions to looking for updated information from reliable
sources
outside Wikipedia and update information with attaching citation links.
Added learning mechanism when users skip or attempt wrong answers
During user testing, we realised that users want to learn about the topic more rather than just
being
informed that they are incorrect. This helps them be more attentive and engaged.
Explored new forms of interactions to auto-select and update on the fly
Wikipedia is a residual and dominant platform. We explored new ways to interact and submit new
information in as little time as possible. This would reduce the biases for the technical aspect
of the
product..
Many images lack citations or have wrong descriptions due to many
reasons
one of them; being language barriers. We asked users to describe an image in plain words and
reverify
them.
Image Citation
Language Translation
Through data, we realized that many readers translate complex words
into
the language of their choice. We identified these most translated words on Google and incorporated
them
into Wikipedia, too.
Language Translation
Knowledge Update
A lot of information on Wikipedia is true but outdated or has changed
recently. Like population. some personality's death. With this approach we can get those niche,
specific
information updated.
Knowledge Update
WE ITERATED A LOT...
With design systems,
approaches,
accessibility standards, gamification methods, and user feedback
Kindly Reach Out: Learn how these complex systems are
designed to create new questions for every page. Also, when a user contributes new information,
how does it get verified and updated on Wikipedia pages.
📞 Kindly Reach Out
Lets catch up if you would like to know more about my work at Wikipedia.