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<!DOCTYPE html>
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<div class="page__parent-title">Projects</div>
<h1 class="page__title">Community Health</h1>
<p class="page__tagline">We are designing qualitative and quantitative methods to identify and target harassment in Wikimedia projects.</p>
<img src="img/patterns/ricardo-gomez-angel-180819.jpg" title="red roof by Ricardo Gomez Angel" alt="community health image" />
<section id="project-overview">
<h2>Project overview</h2>
<p>Harassment is a pervasive issue in many online communities. A 2014 <a href="http://www.pewinternet.org/2014/10/22/online-harassment/">Pew survey</a> found that 73% of internet users have witnessed online harassment, and 40% have experienced it. In 2015, the Wikimedia Foundation conducted its own survey and found about 38% of responding contributors had experienced some form of harassment. Over half felt a decrease in their motivation to contribute to Wikimedia projects in the future.</p>
<p>The Wikimedia Board of Trustees has identified the problem of harrassment in Wikimedia projects as a threat to "our ability to collect, share, and disseminate free knowledge." In a <a href="https://blog.wikimedia.org/2016/12/08/board-culture-inclusivity-safe-spaces/">resolution</a> on "healthy community culture, inclusivity, and safe spaces," the Wikimedia Board of Trustees identified responses to harassment as a priority for the movement.</p>
<p>Our team is working with other departments at the Wikimedia Foundation and outside research collaborators to better <a href="https://blog.wikimedia.org/2017/02/07/scaling-understanding-of-harassment/">understand and combat harrassment</a> in Wikimedia projects and discussion spaces. We have designed algorithms to help detect toxic behavior, and we are learning more about how this behavior affects contributors to Wikimedia projects. We have released <a href="https://meta.wikimedia.org/wiki/Research:Detox/Data_Release">data sets</a> and open source tools to support open and reproducible research on online harassment.</p>
</section>
<section id="project-updates" class="updates">
<h2>Recent updates</h2>
<ol class="list list--updates">
<li class="update list__col">
<a href="https://youtu.be/L-1uzYYneUo?t=2099" class="update__card">
<h3 class="update__card--title">Characterizing Wikihounding on Wikipedia</h3>
<time datetime="2018-01" class="update__card--time">Jan 2018</time>
<span class="update__card--desc">The Wikimedia Foundation's Caroline Sinders talks about challenges in designing quantitative and qualitative methods to identify Wikihounding – a form of digital stalking on Wikipedia.</span>
</a>
</li>
<li class="update list__col">
<a href="https://www.youtube.com/watch?v=nMENRAkeHnQ" class="update__card">
<h3 class="update__card--title">Conversation corpora, emotional robots, and battles with bias</h3>
<time datetime="2017-11" class="update__card--time">Nov 2017</time>
<span class="update__card--desc">Jigsaw's Lucas Dixon talks about experimental setups for doing large-scale analysis of conversations in Wikipedia, part of ongoing research on the nature and impact of harassment in Wikipedia discussion spaces.</span>
</a>
</li>
<li class="update list__col">
<a href="https://meta.wikimedia.org/wiki/Research:Sockpuppet_detection_in_Wikimedia_projects" class="update__card">
<h3 class="update__card--title">Sockpuppet detection in Wikimedia projects</h3>
<time datetime="2017-09" class="update__card--time">Sep 2017</time>
<span class="update__card--desc">We started a formal collaboration with researchers at Stanford University aiming to design and evaluate algorithmic strategies to identify potential sockpuppet accounts on Wikipedia. The aim is to develop high-precision detection models using previously identified, malicious sockpuppets.</span>
</a>
</li>
<li class="update list__col">
<a href="https://www.technologyreview.com/s/603589/collection-of-13500-nastygrams-could-advance-war-on-trolls/" class="update__card">
<h3 class="update__card--title">Collection of 13,500 Nastygrams Could Advance War on Trolls</h3>
<time datetime="2017-01" class="update__card--time">Jan 2017</time>
<span class="update__card--desc">Our work in collaboration with Jigsaw, and the release of 100,000 comments on English Wikipedia talk pages labeled for toxicity, is covered in MIT Technology Review.</span>
</a>
</li>
<li class="update list__col">
<a href="https://blog.wikimedia.org/2017/02/07/scaling-understanding-of-harassment/" class="update__card">
<h3 class="update__card--title">Scaling up our understanding of harassment on Wikipedia</h3>
<time datetime="2017-01" class="update__card--time">Jan 2017</time>
<span class="update__card--desc">The first results from our collaboration with the technology incubator Jigsaw is helping us better understand and explore technical solutions to harassment on Wikipedia.</span>
</a>
</li>
<li class="update list__col">
<a href="https://www.youtube.com/watch?v=eZgqzVuRDRs" class="update__card">
<h3 class="update__card--title">Detecting Personal Attacks on Wikipedia</h3>
<time datetime="2016-07" class="update__card--time">Jul 2016</time>
<span class="update__card--desc">Ellery Wulczyn (WMF) and Nithum Thain (Jigsaw) present preliminary results from a research collaboration aiming to develop tools to detect and understand online personal attacks on Wikipedia.</span>
</a>
</li>
</ol>
</section>
<section id="project-meta" class="project-meta">
<h2>Project team</h2>
<p><a href="https://meta.wikimedia.org/wiki/User:Dario_(WMF)">Dario Taraborelli</a>, <a href="https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)">Jonathan Morgan</a>, <a href="https://meta.wikimedia.org/wiki/User:Diego_(WMF)">Diego Sáez-Trumper</a></p>
<h2>Collaborators</h2>
<p>Cristian Danescu-Niculescu-Mizil (Cornell University), Lucas Dixon (Jigsaw), Yiqing Hua (Cornell University), Srijan Kumar (Stanford University), Jure Leskovec (Stanford University), Tilen Marc (Stanford University), Caroline Sinders (Wikimedia Foundation), Nithum Thain (Jigsaw), Justine Zhang (Cornell University), Ellery Wulczyn (Wikimedia Foundation)</p>
<h2>Publications</h2>
<ul class="publications">
<li>Ellery Wulczyn, Nithum Thain, and Lucas Dixon. 2017. <a href="https://arxiv.org/pdf/1610.08914">Ex machina: Personal attacks seen at scale</a>. <em>Proceedings of the 26th International Conference on World Wide Web (WWW '17)</em>. ACM, New York, NY, USA, 1785-1799. DOI: <a href="https://doi.org/10.1145/3038912.3052591">https://doi.org/10.1145/3038912.3052591</a></li>
</ul>
<h2>Resources and links</h2>
<div>
<ol class="list list--resources">
<li class="resource list__col">
<span class="resource__title">Home page</span>
<a class="resource__link" href="https://meta.wikimedia.org/wiki/Community_health_initiative">The Wikimedia Foundation's Community Health Initiative</a>
</li>
<li class="resource list__col">
<span class="resource__title">Research pages</span>
<a class="resource__link" href="https://meta.wikimedia.org/wiki/Research:Sockpuppet_detection_in_Wikimedia_projects">Sockpuppet detection in Wikimedia projects</a>
<a class="resource__link" href="https://meta.wikimedia.org/wiki/Research:Wikihounding_and_Machine_Learning_Analysis">Wikihounding and Machine Learning Analysis</a>
<a class="resource__link" href="https://meta.wikimedia.org/wiki/Research:Study_of_harassment_and_its_impact">Study of harassment and its impact</a>
<a class="resource__link" href="https://meta.wikimedia.org/wiki/Research:Detox">Characterizing personal attacks in Wikipedia</a>
</li>
<li class="resource list__col">
<span class="resource__title">Videos</span>
<a class="resource__link" href="https://www.youtube.com/watch?v=nMENRAkeHnQ">Conversation Corpora, Emotional Robots, and Battles with Bias</a>
<a class="resource__link" href="https://www.youtube.com/watch?v=nmrlu5qTgyA&t=1979">Privacy, Anonymity, and Perceived Risk in Open Collaboration. A Study of Tor Users and Wikipedians</a>
<a class="resource__link" href="https://www.youtube.com/watch?v=eZgqzVuRDRs">Detecting Personal Attacks on Wikipedia</a>
</li>
</ol>
</div>
</section>
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