Wikipedia Pages Wanting Photos/Evaluation Report 2021
Read this summary page for a description of the campaign, data highlights across three core outcome areas, and lessons learned across campaign implementations.
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Campaign history
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The WPWP Campaign is an annual campaign whose primary goal is promoting the use of digital media files collected from various Wikimedia photography contests and photo-walks organized by the Wikimedia community, on Wikipedia article pages. Visual images help to grasp the reader's attention better than a wall of text, illustrate content, and make the article more instructive and engaging for readers. Thousands of images have been donated and contributed to Wikimedia Commons via various advocacy programs, photo-walks, and contests, including international photography contests such as Wiki Loves Monuments, Wiki Loves Africa, Wiki Loves Earth, Wiki Loves Folklore, etc. Yet relatively few of these photos have been used on Wikipedia articles. Our repository of media files, the Wikimedia Commons, hosts millions of photo images but only a tiny portion of these have been used on Wikipedia article pages. This is a huge gap that this project aims at bridging. The campaign, initiated in 2020, is held every July and runs through August. In 2021, its second year, 60 Wikimedia communities in 52 countries joined the campaign. The WPWP Campaign was launched on July 1, 2021, and entries closed on the 31st of August 2021. Members of the International Team are Olaniyan Olushola, Deborah Jacobs, Kevin Payravi, Dansu Peter, Mohammed Bachouda, Tulsi Baghat, Alaa, Romaine, Sam Oyeyele, Florence Nibart-Devouard (Advisor), and Alex Stinson (Advisor). And members of the jury team include Olatunde Isaac, Olaniyan Olushola, Rajeeb Dutta, Euphemia Uwandu, Abubakar Sideeq, Alhassan Mohammed Awal, Bhuvana Meenakshi, and Nethi SaiKiran. This year, the International Organizing Team began planning for the campaign in April 2021. The pre-campaign activities include the following
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Quality improvement
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On user recruitment and retention
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Replication and shared learning
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Lessons learned
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