Wikimedia Research

Semantic Search: Android MVP user research

2026-05-01T00:00:00.000Z

Mixed-methods research evaluating the Semantic Search MVP, including user expectations, result relevance, AI perceptions, and onboarding experiences across app and non-app users.

Program: Sentiment & Perception

Lead: Mike Raish and Sandra Abrouk for the Mobile Apps team

Post-Temporary Accounts English Wikipedia patroller survey

2026-05-01T00:00:00.000Z

Survey targeting users who do antivandalism work related to temporary accounts on English Wikipedia, to capture sentiments regarding temporary accounts and assess the audience's perceived ability to handle vandalism from temporary accounts.

Program: Online Social Behavior

Lead: Claudia Lo for the Product Safety and Integrity team

Wikipedia Attribution Call-to-Action Variants Evaluation

2026-05-01T00:00:00.000Z

A survey experiment evaluating alternative attribution CTA messages to understand how CTA framing influences perceptions, engagement intent, and alignment with Wikipedia's identity and mission.

Program: Sentiment & Perception

Lead: Bethany Gerdemann and Mike Raish

Article Guidance in Visual Editor

2026-04-01T00:00:00.000Z

The aim of this research project was to understand how effective article creation guidance is when adapted/integrated with Visual Editor for new and junior editors.

Program: Powered by People

Lead: Eli Asikin-Garmager and Jahnavi Mirashi for the Language and Product Localization Team

Comparative Reader Research

2026-03-01T00:00:00.000Z

A quantitative survey comparing the information-seeking behaviors, demographics, and platform preferences of current English Wikipedia readers with new, infrequent, and non-readers to identify opportunities and threats for readership growth.

Program: Sentiment & Perception

Lead: Mike Raish and Yu-Ming Liou

Exploring Wikipedia: Concept Testing Prototypes for Interaction Patterns with Casual Readers

2026-01-01T00:00:00.000Z

Moderated prototype testing with casual readers to understand sentiment, usability, and their relationship with Wikipedia, and to compare feedback on the two interaction patterns.

Program: Sentiment & Perception

Lead: Jahnavi Mirashi and Mike Raish for the Reader Growth team

User Engagement with the Wikipedia App Explore Feed

2025-12-01T00:00:00.000Z

A mixed-method study examining perceptions of the Wikipedia Explore Feed and opportunities to improve engagement.

Program: Sentiment & Perception

Lead: Bethany Gerdemann with Michael Raish and the Apps team

Research Report N° 13

2025-12-01T00:00:00.000Z

The thirteenth in a series of biannual reports from Wikimedia Research, published every June and December.

Guided Article and Section Creation

2025-10-01T00:00:00.000Z

Understanding the workflows, obstacles, and successes of editors engaged in new article or section creation to improve the available processes and reduce the number of deletions of these contributions.

Program: Powered by People

Lead: Eli Asikin-Garmager and Jahnavi Mirashi for the Language and Product Localization Team

Foundational Reader Research

2025-10-01T00:00:00.000Z

A mixed-methods study using surveys and diary studies to understand what readers use Wikipedia for, why they choose other platforms for similar needs, and how to attract and retain multigenerational readers.

Program: Sentiment & Perception

Lead: Mike Raish and Yu-Ming Liou

Mapping non-emergency support structures

2025-09-01T00:00:00.000Z

Documenting local help and support structures, especially for conflict resolution, across four wikis to inform recommendations for the Incident Reporting System.

Program: Online Social Behavior

Lead: Claudia Lo with Katie Coleman, for the Product Safety and Integrity team

Understanding User Needs for Deep Reading

2025-08-01T00:00:00.000Z

Understanding the "deep reading" experience on Wikipedia, to inform improvements to the reading experience, particularly around discovery and search.

Program: Sentiment & Perception

Lead: Tara Rooks with Viviana Ortiz, Eli Asikin-Garmager, and Debra Kumar for the Readers team

Research Report N° 12

2025-08-01T00:00:00.000Z

The twelfth in a series of biannual reports from the Wikimedia Foundation Research team.

Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection

2025-07-01T00:00:00.000Z

A new vandalism detection system for Wikidata using graph-linguistic fusion (Wikidata Revert Risk).

Mykola Trokhymovych, Lydia Pintscher, Ricardo Baeza-Yates, Diego Saez-Trumper

Proceedings of the 63nd Annual Meeting of the Association for Computational Linguistics (ACL '25 Industry)

Program: Improve Knowledge Integrity

Centralized Contributions for Moderation

2025-06-01T00:00:00.000Z

Discover if experienced editors want a centralized hub to discover and find new contribution suggestions, and if so, what should be on it to encourage its use.

Program: Powered by People

Lead: Claudia Lo, Jahnavi Mirashi for the Moderator Tools Team

Watchlist and Task Prioritization

2025-05-01T00:00:00.000Z

Understanding how moderators and patrollers use their watchlist page and how they discover, organize and prioritize their on-wiki work.

Program: Powered by People

Lead: Daisy Chen for the Moderator Tools Team

Peacock Check Concept Testing

2025-05-01T00:00:00.000Z

Conversations with 4 readers and 1 editor about the Editing team's upcoming Peacock Check feature in Visual Editor.

Program: Sentiment & Perception

Lead: Michael Raish with the Editing Team

Collaborative Translation

2025-04-01T00:00:00.000Z

Understanding group processes & needs around translation.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager and Jahnavi Mirashi

Reading and Editing in the iOS Wikipedia App

2025-04-01T00:00:00.000Z

This study explores how English and Japanese Wikipedia app users engage with reading and editing, to inform future improvements to the iOS app experience.

Program: Sentiment & Perception

Lead: Bethany Gerdemann, Mike Raish, Project Kobo K.K. with Haley Nordeen and the Mobile Apps team

Understanding the usage and impact of the Flagged Revisions extension

2025-03-01T00:00:00.000Z

As part of the Research group, the Design Research team supports Product Design by delivering insights that help product teams make informed and inspired decisions.

Program: Powered by People

Lead: Claudia Lo, Tara Rooks for the Moderator Tools Team

Research Report N° 11

2025-03-01T00:00:00.000Z

The eleventh in a series of biannual reports from the Wikimedia Foundation Research team.

Research Report N° 10

2024-12-01T00:00:00.000Z

The tenth in a series of biannual reports from the Wikimedia Foundation Research team.

Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia

2024-11-01T00:00:00.000Z

A model for automatically locating suitable positions for new links in Wikipedia articles, supporting editors in cases where a suitable anchor text does not yet exist.

Tomás Feith, Akhil Arora, Martin Gerlach, Debjit Paul, Robert West

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24)

Program: Address Knowledge Gaps

Architectural styles of curiosity in global Wikipedia mobile app readership

2024-10-01T00:00:00.000Z

Uncovers complex patterns of Wikipedia navigation and characterizes reader curiosity types in the mobile app.

Dale Zhou, Shubhankar P. Patankar, David M. Lydon-Staley, Perry Zurn, Martin Gerlach, Dani S. Bassett

Science Advances

Program: Address Knowledge Gaps

Wikimedia data for AI: A review of Wikimedia datasets for NLP tasks and AI-assisted editing

2024-10-01T00:00:00.000Z

A review of the state of AI benchmarks for Wikimedia NLP tasks and AI-assisted editing.

Isaac Johnson, Lucie-Aimée Kaffee, Miriam Redi

Proceedings of Advancing Natural Language Processing for Wikipedia Workshop (EMNLP '24)

Program: Conduct Foundational Work

WikiProject Survey

2024-10-01T00:00:00.000Z

Design, distribute, and analyze a survey of WikiProject contributors in order to identify projects for impact.

Program: Powered by People

Lead: Michael Raish and Alex Stinson for the Campaigns team

Wikipedia Administrator Experiences

2024-10-01T00:00:00.000Z

Causes behind human administration recruiting, retention, and departure patterns.

Program: Powered by People

Lead: Eli Asikin-Garmager, Yu-Ming Liou, Claudia Lo, Caroline Myrick, with Bethany Gerdemann and Daisy Chen

Volunteer Archetypes V2

2024-10-01T00:00:00.000Z

While V1 Archetypes research engaged with both off-Wiki volunteer contributors and previous research conducted by the WMF, V2 intends to provide a strong empirical basis for Archetypes by expanding the size and number of populations engaged.

Program: Numeric Exploration

Lead: Michael Raish, Tanja Andic, Sneha Patel, and Rita Ho

Wikipedia is an Antidote to Disinformation

2024-09-01T00:00:00.000Z

Literature review highlighting the place of Wikipedia as a key part of the internet information ecosystem, in the fight against disinformation.

Program: Research & Development

Lead: Claudia Lo, Martin Gerlach, Pablo Aragón, Diego Saez-Trumper, Leila Zia for the Global Advocacy Team

An Open Multilingual System for Scoring Readability of Wikipedia

2024-08-01T00:00:00.000Z

A multilingual model to score the readability of Wikipedia articles across languages.

Mykola Trokhymovych, Indira Sen, Martin Gerlach

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL '24)

Program: Address Knowledge Gaps

Volunteer Archetypes V1

2024-07-01T00:00:00.000Z

Using survey methods, this project builds archetypes of non-Wikimedian volunteer internet contributors in order to support strategic decisions about whom to target for recruitment into the Movement.

Program: Numeric Exploration

Lead: Michael Raish, Tanja Andic, Sneha Patel, and Rita Ho

Patroller Work Habits Survey

2024-06-01T00:00:00.000Z

Surveying the contributions and working habits of patrollers, to better guide future efforts to aid this group.

Program: Powered by People

Lead: Claudia Lo, for the Moderator Tools Team

Current Usage and Future Adoption of Wikifunctions

2024-05-01T00:00:00.000Z

This study generates a comprehensive understanding of how Wikifunctions might successfully integrate into Wikipedia.

Program: Research & Development

Lead: Andrew Russell Green and Amin Al Hazwani, for the Abstract Wiki team

Language-Agnostic Modeling of Wikipedia Articles for Content Quality Assessment across Languages

2024-04-01T00:00:00.000Z

Applies a language-agnostic article quality model to millions of revisions from over 300 language editions of Wikipedia.

Paramita Das, Isaac Johnson, Diego Saez-Trumper, Pablo Aragón

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media (ICWSM '24)

Program: Address Knowledge Gaps

Leveraging Recommender Systems to Reduce Content Gaps on Peer Production Platforms

2024-04-01T00:00:00.000Z

An experiment to explore the potential role of recommender systems in reducing content gaps on Wikipedia.

Mo Houtti, Isaac Johnson, Morten Warncke-Wang, Loren Terveen

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media (ICWSM '24)

Program: Address Knowledge Gaps

Cross-Wiki Uploads

2024-04-01T00:00:00.000Z

User interviews of English and Arabic Wiki uploaders were conducted to understand the experience and mindsets of those who use the visual editor upload tool, and what leads them to upload copyrighted material.

Program: Sentiment & Perception

Lead: Bethany Gerdemann with Eman Yahia for the Structured Content team

Wikipedia Subscription

2024-04-01T00:00:00.000Z

User research to study the reading and information seeking habits of internet users, and their usage of subscription services, to help inform products that can deliver Wikipedia content in novel formats.

Program: Research & Development

Lead: Gabriel Escalante and Purity Waigi, for the Inuka Team

iOS Navigation Refresh

2024-03-01T00:00:00.000Z

Variant testing in English, Arabic, German, and Chinese for a redesign of the iOS navigation system with the goal of ensuring a seamless user experience.

Program: Sentiment & Perception

Lead: Olga Tichonova, with Bethany Gerdemann and Eman Yahia for the Apps team

MinT (Machine in Translation) Research

2024-02-01T00:00:00.000Z

The goal of this project was to understand how to better leverage MinT to support more readers and contributors in their aims of accessing, interacting with, and contributing to Wikipedia content, as well as knowledge more generally.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager in collaboration with Pau Giner and Anagram Research

Non-Editing Participation

2024-02-01T00:00:00.000Z

Exploring the ways that people read on and off Wikipedia, and the expectations of new Wikipedia account holders for reading features.

Program: Sentiment & Perception

Lead: Mike Raish and Eman Yahia, for the Core Experiences teams

Orphan Articles: The Dark Matter of Wikipedia

2024-01-01T00:00:00.000Z

A study of the surprisingly large number of orphan articles in Wikipedia and how to improve their visibility.

Akhil Arora, Robert West, Martin Gerlach

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media (ICWSM '24)

Program: Address Knowledge Gaps

Curious Rhythms: Temporal Regularities of Wikipedia Consumption

2024-01-01T00:00:00.000Z

A study of the temporal patterns in how Wikipedia articles are accessed by readers, helping understand the diversity of their information needs.

Tiziano Piccardi, Martin Gerlach, Robert West

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media (ICWSM '24)

Program: Address Knowledge Gaps

Edit Check

2024-01-01T00:00:00.000Z

An interview study exploring the WMF Editing team's "Edit Check" tool and its reception among small- and medium-size Wikipedias in sub-Saharan Africa.

Program: Sentiment & Perception

Lead: Mike Raish, Sandra Abrouk, and the Editing Team

Community Configuration

2023-12-01T00:00:00.000Z

Interviews with Wikipedia administrators about the WMF Growth team's "Community Configuration" platform.

Program: Sentiment & Perception

Lead: Mike Raish for the Growth team

Research Report N° 9

2023-12-01T00:00:00.000Z

The ninth in a series of biannual reports from Wikimedia Research, published every June and December.

Wikimedia Preview WordPress Plugin

2023-11-01T00:00:00.000Z

User research to learn how site owners and site readers use and interact with the Wikimedia Preview, the WordPress plugin.

Program: Sentiment & Perception

Lead: Hureo, with Eli Asikin-Garmager, Bethany Gerdemann, and the Inuka Team

A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia

2023-10-01T00:00:00.000Z

Quantifies the cross-lingual patterns of the perennial sources list, a collection of reliability labels for web domains identified and agreed upon by Wikipedia editors.

Aitolkyn Baigutanova, Diego Saez-Trumper, Miriam Redi, Meeyoung Cha, Pablo Aragón

In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '23)

Program: Improve Knowledge Integrity

Commons Administrator Interviews

2023-10-01T00:00:00.000Z

Research to understand Commons Administrators workflows, the challenges they face in moderating content, and their ideas for reducing deletions.

Program: Powered by People

Lead: Bethany Gerdemann, with the Structured Content team

Commons Impact Metrics

2023-10-01T00:00:00.000Z

Understanding affiliates data and metrics needs in the Commons space.

Program: Powered by People

Lead: Daisy Chen for the Data Products team

Campaign Event Discovery Survey

2023-09-01T00:00:00.000Z

Survey on most common and most effective campaign event discoverability pathways.

Program: Powered by People

Lead: Claudia Lo with Bethany Gerdemann and Gregory Onyeahialam, for the Campaigns team

Increasing Participation in Peer Production Communities with the Newcomer Homepage

2023-08-01T00:00:00.000Z

Shows how the Newcomer Homepage has increased participation amongst newcomers to Wikipedia.

Morten Warncke-Wang, Rita Ho, Marshall Miller, Isaac Johnson

Proc. ACM Hum.-Comput. Interact. (CSCW '23).

Program: Address Knowledge Gaps

Publishing Wikipedia usage data with strong privacy guarantees

2023-08-01T00:00:00.000Z

The process for releasing new differentially-private datasets of geographic reader data.

Temilola Adeleye, Skye Berghel, Damien Desfontaines, Michael Hay, Isaac Johnson, Cléo Lemoisson, Ashwin Machanavajjhala, Tom Magerlein, Gabriele Modena, David Pujol, Daniel Simmons-Marengo, Hal Triedman

Theory and Practice of Differential Privacy (TPDP) 2023

Program: Conduct Foundational Work

Incident reporting system

2023-08-01T00:00:00.000Z

Research exploring current harassment reporting workflows and harassment target/responder pain points on Korean and Indonesian wikis.

Program: Online Social Behavior

Lead: Daisy Chen. Requestors: Aishwarya Vardhana, Madalina Ana from Trust & Safety team.

Non Editing Participation Literature Review

2023-08-01T00:00:00.000Z

A literature review to identify ways in which users can engage with potential forms of non-editing participation, thereby increasing their interest and involvement in the Wikis.

Program: Research & Development

Lead: Mike Raish, with YUX and the Core Experiences teams

Non Editing Participation Report

2023-08-01T00:00:00.000Z

Recommendations based on a series of interviews to discover diverse avenues for user engagement through non-editing participation features.

Program: Research & Development

Lead: Mike Raish, with YUX and the Core Experiences teams

Commons Uploader Experience

2023-07-01T00:00:00.000Z

A project to understand the user experience of uploading images to Commons, with the purpose of improving the upload process while reducing deletion requests...

Program: Powered by People

Lead: Claudia Lo, with Bethany Gerdemann, Criba Research and the Structured Content team

IP Masking Prototype Usability Testing

2023-07-01T00:00:00.000Z

Moderated usability tests that explore the functions of an “IP Masking” prototype in English, Spanish, Arabic, and Japanese.

Program: Sentiment & Perception

Lead: Mike Raish with Naoko Sato, and the Growth & Core Experiences teams

Future Learning Vectors

2023-07-01T00:00:00.000Z

Interviews with educational, short-form video content creators about how, when, and why they use Wikipedia, in order to improve the quality and quantity of Wikipedia content that is disseminated to global audiences through learning-oriented video content.

Program: Research & Development

Lead: Mike Raish, with Shobha S V and the Core Experiences teams

Research Report N° 8

2023-07-01T00:00:00.000Z

The eighth in a series of biannual reports from Wikimedia Research, published every June and December.

Fair multilingual vandalism detection system for Wikipedia

2023-06-01T00:00:00.000Z

The next generation of ML tools for Knowledge Integrity, providing a fair multilingual vandalism detection system, now in production.

Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou, Ricardo Baeza-Yates, Diego Saez-Trumper

In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23)

Program: Improve Knowledge Integrity

Trust & Wikipedia

2023-06-01T00:00:00.000Z

An experiment to determine how embedding "trust signals" into the Wikipedia desktop interface affects understanding of how Wikipedia works and trust in its information.

Program: Research & Development

Lead: Mike Raish, with Laura Stigliano and the Web team

Journey Transitions

2023-05-01T00:00:00.000Z

This project explores what and whether notable moments cause users to deepen and expand their use of and/or contributions to Wikipedia.

Program: Powered by People

Lead: Daisy Chen with Mike Raish and the Core Experiences product group

Reading Wikipedia

2023-05-01T00:00:00.000Z

Understanding what readers in diverse language communities think they are doing as they read Wikipedia, their motivations for reading, the navigational structures they perceive and use, and the ways in which they interact with information.

Program: Sentiment & Perception

Lead: Mike Raish with YUX for the Core Experiences product group

Translatable Pages

2023-04-01T00:00:00.000Z

Developing a better understanding of the challenges users face when creating and updating translatable pages in order to improve the user experience.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager, and the Language Team

Image Suggestions for Article Sections

2023-03-01T00:00:00.000Z

Usability tests for a feature that suggests images to experienced contributors to add to an article section.

Program: Sentiment & Perception

Lead: Daisy Chen, with the Structured Content team

New Page Patrollers

2023-02-01T00:00:00.000Z

An interview series with English Wikipedia New Page Patrollers to develop a shared understanding of how new page patrolling works on the English Wikipedia and to identify potential areas for improvement grounded in today’s patrolling practices.

Program: Sentiment & Perception

Lead: Claudia Lo, with the Moderator Tools team

Longitudinal Assessment of Reference Quality on Wikipedia

2023-01-01T00:00:00.000Z

Aitolkyn Baigutanova, Jaehyeon Myung, Diego Saez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, Meeyoung Cha

In Proceedings of The Web Conference 2023 (WWW '23)

Program: Improve Knowledge Integrity

Overview of the TREC 2022 Fair Ranking Track

2023-01-01T00:00:00.000Z

Michael D. Ekstrand, Graham McDonald, Amifa Raj, Isaac Johnson

The Thirty-First Text REtrieval Conference (TREC 2022) Proceedings

A Large-Scale Characterization of How Readers Browse Wikipedia

2023-01-01T00:00:00.000Z

Tiziano Piccardi, Martin Gerlach, Akhil Arora, Robert West

ACM Transactions on the Web

Program: Address Knowledge Gaps

Wikistories Early Adopters Research

2023-01-01T00:00:00.000Z

A project about Wikistory adopters, both creators and readers, focusing on their motivations and experiences creating and sharing stories.

Program: Powered by People

Lead: Eli Asikin-Garmager and Claudia Lo

Research Report N° 7

2022-12-01T00:00:00.000Z

The seventh in a series of biannual reports from Wikimedia Research, published every June and December.

Momentum: Contribution, Content, & Reading in Wiki Growth

2022-10-01T00:00:00.000Z

This study tests some key hypotheses: that building awareness of the brand drives more people to read our content; that by growing readership the Movement itself grows as readers are converted into content contributors; that as the community grows so does the amount and diversity of content offered; and that more, and more diverse, content attracts more readers.

Program: Numeric Exploration

Lead: Jim Maddock with Michael Raish, Mikhail Popov, Isaac Johnson, and Margeigh Novotny

Research Report N° 6

2022-08-01T00:00:00.000Z

The sixth in a series of biannual reports from Wikimedia Research, published every June and December.

IP Editing on Japanese Wikipedia

2022-07-01T00:00:00.000Z

An inquiry into why some editors don’t log in and how they might be encouraged to through a comparative study of Arabic, Bengali, Spanish, and Japanese Wikipedias.

Program: Online Social Behavior

Lead: Michael Raish and the Growth team

Newcomer Positive Reinforcement

2022-07-01T00:00:00.000Z

Cross-cultural feedback on approaches to Positive Reinforcement through review of static designs.

Program: Sentiment & Perception

Lead: Mary Grace Reich with Michael Raish and the Growth team

Campaigns Event Registration Page User Testing

2022-07-01T00:00:00.000Z

Usability testing of the campaigns registration feature that enables organizers and participants to register for events on the Wiki platform.

Program: Sentiment & Perception

Lead: YUX with the Campaigns Team

Wikimedia Commons User Interviews and Data

2022-07-01T00:00:00.000Z

A project that combines usage data and in-depth interviews with Commons users to understand the current state of the platform.

Program: Numeric Exploration

Lead: Jeff Howard with Jim Maddock and Margeigh Novotny

The Future of IP-based editing

2022-06-01T00:00:00.000Z

A project that investigates the difficulties with moderating anonymous edits and how best to mitigate those issues.

Program: Online Social Behavior

Lead: Claudia Lo with the Anti-Harassment Tools team

Templates and Trust-o-meters: Towards a widely deployable indicator of trust in Wikipedia

2022-05-01T00:00:00.000Z

A study on designing widely deployable trust indicators for readers of Wikipedia.

Andrew Kuznetsov, Margeigh Novotny, Jessica Klein, Diego Saez-Trumper, Aniket Kittur

CHI '22: CHI Conference on Human Factors in Computing Systems

Program: Improve Knowledge Integrity

HabLatAm

2022-05-01T00:00:00.000Z

A cross country study on the internet skills, habits, and behaviors of youth in Latin America.

Program: Online Social Behavior

Lead: Ana Chang & Eli Asikin-Garmager, with the Berkman Klein Center for Internet and Society

Section Translation Feedback Survey

2022-05-01T00:00:00.000Z

Learning from the experiences of editors who used Section Translation during a Bengali Wikipedia article quality improvement competition in 2022.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager with the Language team

Special Search Improvements: Spanish User Testing

2022-05-01T00:00:00.000Z

When someone searches on Wikipedia but there isn’t an article matching their search term, they arrive at “special:search,”. This project tests new concepts for this feature with Spanish readers.

Program: Sentiment & Perception

Lead: Mike Raish, Daisy Chen, Sneha Patel, UserTestingArabic, and Criba Research

Special Search Improvements: Arabic User Testing

2022-05-01T00:00:00.000Z

When someone searches on Wikipedia but there isn’t an article matching their search term, they arrive at “special:search,”. This project tests new concepts for this feature with Arabic readers.

Program: Sentiment & Perception

Lead: Mike Raish, Daisy Chen, Sneha Patel, UserTestingArabic, and Criba Research

Templates and Trust-o-meters: Towards a widely deployable indicator of trust in Wikipedia

2022-05-01T00:00:00.000Z

This work identifies three key challenges: 1) empirically determining which metrics from community approaches most impact reader trust; 2) validating indicator placements and designs; and 3) demonstrating that such indicators can both lower trust and increase perceived trust in the system when appropriate.

Program: Numeric Exploration

Lead: Andrew Kuznetsov, Margeigh Novotny, Jessica Klein, Diego Saez-Trumper, Aniket Kittur

HabLatAm

2022-04-01T00:00:00.000Z

A collaboration between the WMF and the Berkman Klein Center for Internet and Society to research the internet habits, preferences, and beliefs of youth across Latin America.

Program: Research & Development

Readability on Wikipedia

2022-04-01T00:00:00.000Z

A literature review of the web factors that affect text readability on the internet.

Program: Research & Development

Lead: Taryn Bipat

Content Moderation in Medium-Sized Wikimedia Projects

2022-03-01T00:00:00.000Z

This project aims to fill knowledge gaps in our understanding of how editors curate and moderate content on Wikimedia projects outside the largest and most well-researched communities.

Program: Powered by People

Lead: Claudia Lo, with Sam Walton and the Moderator Tools pilot team

Event Organizers: A Study in 4 African Countries

2022-03-01T00:00:00.000Z

This exploratory research project focused on organizations in four African countries to learn about the particular challenges faced by event organizers and the strategies they have developed to succeed in growing their communities.

Program: Powered by People

Lead: YUX with the Campaigns team

Section Translation Post Improvements Testing

2022-02-01T00:00:00.000Z

Section Translation brings translation support to mobile device editors, and this project provided usability testing after a number of initial tool improvements and at a time when it was becoming available in a greater number of wikis, including Thai Wikipedia.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager, with Teak Research and the Language team.

Wikifunctions: Usability of Bangla Prototype

2022-02-01T00:00:00.000Z

Usability testing of Wikifunctions prototype with Bangla speaking programmers and developers.

Program: Sentiment & Perception

Lead: UserHub with Aishwarya Vardhana and Daisy Chen

Wikistories Africa Research

2022-02-01T00:00:00.000Z

This work provides a method for visualizing and comparing topical coverage from one wiki project to another for the purpose of better understanding where knowledge gaps and subject matter expertise exist across the Free Knowledge Movement.

Program: Research & Development

Lead: Eli Asikin-Garmager, with Qhala Digital Consultancy, the Inuka Team, and Wikistories Team.

Wikistories Indonesia Concept Testing

2022-02-01T00:00:00.000Z

The goal of this project was to collaborate with Wikimedia Indonesia and gather feedback from Indonesian wiki editor communities on early concepts and designs for WikiStories, focusing on the experience of potential WikiStory creators.

Program: Research & Development

Lead: Eli Asikin-Garmager, with Ari Natarina.

Crosslingual Section Title Alignment in Wikipedia

2022-01-01T00:00:00.000Z

Djellel Difallah, Diego Saez-Trumper, Eriq Augustine, Robert West, Leila Zia

In Proceedings of the 2022 IEEE International Conference on Big Data (Big Data '22)

Wiki Loves Monuments: Crowdsourcing the Collective Image of the Worldwide Built Heritage

2022-01-01T00:00:00.000Z

Narges Azizifard, Lodewijk Gelauff, Jean-Olivier Gransard-Desmond, Miriam Redi, Rossano Schifanella

J. Comput. Cult. Herit

Program: Address Knowledge Gaps

"We Need a Woman in Music": Exploring Wikipedia's Values on Article Priority

2022-01-01T00:00:00.000Z

Mo Houtti, Isaac Johnson, Joel Cepeda, Soumya Khandelwal, Aviral Bhatnagar, Loren Terveen

25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW '22)

Program: Address Knowledge Gaps

Considerations for Multilingual Wikipedia Research

2022-01-01T00:00:00.000Z

Isaac Johnson, Emily Lescak

Wiki-M3L: Wikipedia and Multi-Modal & Multi-Lingual Research (co-located with ICLR 2022)

Program: Conduct Foundational Work

Data Governance in the Age of Large-Scale Data-Driven Language Technology

2022-01-01T00:00:00.000Z

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell

Proceedings of FAccT 2022

Overview of the TREC 2021 Fair Ranking Track

2022-01-01T00:00:00.000Z

Michael D. Ekstrand, Amifa Raj, Graham McDonald, Isaac Johnson

The Thirtieth Text REtrieval Conference (TREC 2021) Proceedings

Going Down the Rabbit Hole: Characterizing the Long Tail of Wikipedia Reading Sessions

2022-01-01T00:00:00.000Z

Tiziano Piccardi, Martin Gerlach, Robert West

WikiWorkshop 2022: In Companion Proceedings of The Web Conference 2022 (WWW '22)

Program: Address Knowledge Gaps

Wikipedia Reader Navigation: When Synthetic Data Is Enough

2022-01-01T00:00:00.000Z

Akhil Arora, Martin Gerlach, Tiziano Piccardi, Alberto García-Durán, Robert West

Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM '22)

Program: Address Knowledge Gaps

Visual Gender Biases in Wikipedia: A Systematic Evaluation across the Ten Most Spoken Languages

2022-01-01T00:00:00.000Z

Pablo Beytía, Pushkal Agarwal, Miriam Redi, Vivek K. Singh

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media (ICWSM '22)

Program: Address Knowledge Gaps

A Large Scale Study of Reader Interactions with Images on Wikipedia

2022-01-01T00:00:00.000Z

Daniele Rama, Tiziano Piccardi, Miriam Redi, Rossano Schifanella

EPJ Data Science

Program: Address Knowledge Gaps

WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia

2022-01-01T00:00:00.000Z

Cheng Hsu, Cheng-Te Li, Diego Saez-Trumper, Yi-Zhan Hsu

2021 IEEE International Conference on Big Data (Big Data)

Communications and Mentorship

2021-12-01T00:00:00.000Z

Understanding the wiki-related communications ecosystem, both on and off Wiki, that embedded community members employ for their Wiki related work.

Program: Powered by People

Lead: Daisy Chen, with the Growth and Editing teams

Research Report N° 5

2021-12-01T00:00:00.000Z

The fifth in a series of biannual reports from Wikimedia Research, published every June and December.

Research Report N° 4

2021-10-01T00:00:00.000Z

The fourth in a series of biannual reports from Wikimedia Research, published every June and December.

Section Translation Entry Points

2021-08-01T00:00:00.000Z

Improving discoverability of translation tools on Wikipedia.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager, with Pau Giner, Anagram Research, and the Language team

Digital Spaces // Topical Neighborhoods

2021-07-01T00:00:00.000Z

This project combined conversations with WMF employees and global volunteers with a literature review to support the internal conversation around the Digital Spaces // Topical Neighborhoods proposal.

Program: Online Social Behavior

Lead: Michael Raish

Media Matching

2021-07-01T00:00:00.000Z

Conducted in support of the WMF Structured Data team, Media Matching attempted to identify barriers faced by experienced editors in English, Arabic, and Japanese Wikipedias.

Program: Research & Development

Lead: Michael Raish, with the Structured Data team, Community Ambassadors and Project Kobo

Targets of Harassment

2021-06-01T00:00:00.000Z

In order to support the Universal Code of Conduct’s phase 2 drafting committee, the Wikimedia Foundation has conducted a research project focused on experiences of harassment on Wikimedia projects.

Program: Online Social Behavior

Lead: Claudia Lo, with the Anti-Harassment Tools team

Wikimail Harassment

2021-06-01T00:00:00.000Z

An analysis of community initiatives regarding Wikimail abuse over the past five years and general perspectives on harassment.

Program: Online Social Behavior

Lead: Jeff Howard

Long Tail Topic & Influence Ontology

2021-06-01T00:00:00.000Z

Program: Numeric Exploration

Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia

2021-05-01T00:00:00.000Z

A dataset of articles with reliability concerns on English Wikipedia for training language models to detect content reliability issues.

KayYen Wong, Miriam Redi, Diego Saez-Trumper

SIGIR '21

Program: Improve Knowledge Integrity

Understanding Perspectives on Digital Education in African Contexts

2021-05-01T00:00:00.000Z

Qualitative research examining the perspectives on the future of education from experts, students, teachers, and parents.

Program: Powered by People

Lead: Ana Chang, with AfriqInsights

Verifiability on Wikipedia

2021-05-01T00:00:00.000Z

This three-language study provides foundational understanding for how editors work with available resources to meet the standards required for article quality.

Program: Sentiment & Perception

Lead: Ana Chang, with Sam Walton (WMF), Spiegel Institut, and Wikipedia Library team

WikiFunctions, phases 1 & 2

2021-05-01T00:00:00.000Z

A study that collects feedback on the function-builder prototype from technical users, nontechnical users, and those from outside of the Wikimedia ecosystem.

Program: Research & Development

Tracking Knowledge Propagation Across Wikipedia Languages

2021-03-01T00:00:00.000Z

A dataset of inter-language knowledge propagation in Wikipedia.

Rodolfo Valentim, Giovanni Comarela, Souneil Park, Diego Saez-Trumper

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media (ICWSM '21)

Program: Improve Knowledge Integrity

Section Translation Usability Testing

2021-03-01T00:00:00.000Z

Many Wikipedia contributors edit articles via mobile devices. Section Translation brings translation support to mobile device editors, and this project provided usability testing as the tool became available in the first wiki.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager, with the Language team

Table of Contents & Sticky Header

2021-03-01T00:00:00.000Z

This project tests the concept of a sticky header and the table of contents element as a part of a reader-focused desktop interface improvement initiative by the Web team.

Program: Sentiment & Perception

Lead: Daisy Chen, with Criba Research, Urika Research, and Monafina F Silitonga

WikiCheck: An end-to-end open source Automatic Fact-Checking API based on Wikipedia

2021-01-01T00:00:00.000Z

Mykola Trokhymovych, Diego Saez-Trumper

30th ACM International Conference on Information and Knowledge Management (CIKM '21)

Program: Improve Knowledge Integrity

A Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach

2021-01-01T00:00:00.000Z

Martin Gerlach, Marshall Miller, Rita Ho, Kosta Harlan, Djellel Difallah

30th ACM International Conference on Information and Knowledge Management (CIKM '21)

Program: Address Knowledge Gaps

A preliminary approach to knowledge integrity risk assessment in Wikipedia projects

2021-01-01T00:00:00.000Z

Pablo Aragón, Diego Sáez-Trumper

MIS2'21: Misinformation and Misbehavior Mining on the Web Workshop held in conjunction with KDD 2021

Program: Improve Knowledge Integrity

Global gender differences in Wikipedia readership

2021-01-01T00:00:00.000Z

Isaac Johnson, Florian Lemmerich, Diego Sáez-Trumper, Robert West, Markus Strohmaier, Leila Zia

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media (ICWSM '21)

Program: Address Knowledge Gaps

On the Value of Wikipedia as a Gateway to the Web

2021-01-01T00:00:00.000Z

Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West

In Proceedings of The Web Conference 2021 (WWW '21)

Program: Conduct Foundational Work

Language-agnostic Topic Classification for Wikipedia

2021-01-01T00:00:00.000Z

Isaac Johnson, Martin Gerlach, Diego Sáez-Trumper

WikiWorkshop 2021: In Companion Proceedings of The Web Conference 2021 (WWW '21)

Program: Conduct Foundational Work

A Taxonomy of Knowledge Gaps for Wikimedia Projects (Second Draft)

2021-01-01T00:00:00.000Z

Miriam Redi, Martin Gerlach, Isaac Johnson, Jonathan Morgan, Leila Zia

Program: Address Knowledge Gaps

Wikifunctions, phases 1 & 2

2021-01-01T00:00:00.000Z

A study that collects feedback on the function-builder prototype from technical users, nontechnical users, and those from outside of the Wikimedia ecosystem.

Lead: Jeff Howard

Taxonomy of Harassment

2021-01-01T00:00:00.000Z

A taxonomy of negative social interactions on Wiki projects and a methodology to prioritize those in need of intervention.

Program: Online Social Behavior

Lead: Claudia Lo, with the Anti-Harassment Tools team

Decision-making & Influence

2021-01-01T00:00:00.000Z

A collaboration to map the different types of group decision-making required to manage and improve a crowd-sourced content platform like Wikipedia and understand contributor communities as discrete social groups.

Program: Research & Development

Usability of the Wikipedia KaiOS app

2020-12-01T00:00:00.000Z

This research evaluates usability and user understanding of the basic app elements and workflows for the Wikipedia KaiOS app.

Program: Sentiment & Perception

Lead: Daisy Chen, with Hureo and the Inuka team

Multilingual Editor Experiences in Small Wikis

2020-11-01T00:00:00.000Z

Supporting multilingual editors in small Wikipedias who are leveraging translation to contribute across knowledge and content gaps.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager, with Anagram Research and the Language team

Patrolling Anonymous Edits

2020-10-01T00:00:00.000Z

A study of how patrollers handle edits by logged-out users, and what pieces of information from IP addresses are necessary for their work in maintaining the overall health and quality of Wikimedia projects.

Program: Online Social Behavior

Lead: Claudia Lo, with the Anti-Harassment Tools team

CheckUser Improvements

2020-10-01T00:00:00.000Z

Past research and Steward feedback surfaced many pain points in the CheckUser extension, the tool used by moderators to reverse vandalism of articles. These are multiple iterative rounds of usability tests of the enhanced tool.

Program: Online Social Behavior

Lead: Claudia Lo, with the Anti-Harassment Tools team

Trusted: Signals, Inferences & Indicators

2020-09-01T00:00:00.000Z

The goal of this work is to develop systems for automatically detecting and characterizing the editorial debates behind Wikipedia articles for the purpose of surfacing indications of trustworthiness to the reader. This project is a collaboration between the Wikimedia Foundation and the CMU Human Computer Interaction Institute.

Program: Numeric Exploration

Lead: Andrew Kuznetsov of the Carnegie Mellon Human Computer Interaction Institute, with Margeigh Novotny

Trusted: Signals, Inferences & Indicators

2020-08-01T00:00:00.000Z

Researchers are analyzing which types of cues work best to help readers understand the true quality of an article and scraping talk pages for the signals and inferences that can drive these cues.

Program: Research & Development

Content Moderation Explained

2020-06-01T00:00:00.000Z

An overview of how a global community of volunteer moderators determine which contributions to Wikipedia are accepted and rejected.

Program: Powered by People

How Do News Organizations Use Wikipedia?

2020-06-01T00:00:00.000Z

A literature review that seeks to understand more about how and why media and news organizations use Wikipedia.

Program: Powered by People

Lead: Anna Rader

Interpersonal Communication on Wikipedia

2020-06-01T00:00:00.000Z

A review of the available academic literature on interpersonal communication and coordination within the Wikipedia community, in particular the role of talk pages in creating and maintaining Wikipedia’s content.

Program: Online Social Behavior

Lead: Anna Rader

Content Moderation Explained

2020-06-01T00:00:00.000Z

An overview of how a global community of volunteer moderators determine which contributions to Wikipedia are accepted and rejected.

Program: Online Social Behavior

Lead: Claudia Lo, with Lucy Blackwell

Machine Translation Meets Human Perception

2020-06-01T00:00:00.000Z

The Machine Translation Meets Human Perception (MTMHP) study developed a protocol for evaluating how readers perceive and evaluate machine-translated content - across three different languages, cultural contexts, and content domains.

Program: Machine Augmentation

Lead: Michael Raish, with Hureo and Bethany Gerdemann

Android App Suggested Edits

2020-06-01T00:00:00.000Z

This project addresses user difficulties using and understanding the Contributions screens as part of the Section Editing feature.

Program: Sentiment & Perception

Lead: Daisy Chen, with the Android App Team

Free Knowledge Movement Personas

2020-05-01T00:00:00.000Z

This is a collection of all personas developed to date for desktop and mobile readers, new and veteran contributors, institutional curators and Movement organizers.

Program: Powered by People

CheckUser Workflow & Tools

2020-04-01T00:00:00.000Z

CheckUser is a critical tool for moderators in anti-vandalism efforts on Wikipedia. This research surfaces the pain points in the CheckUser workflow and opportunities to improve the tool.

Program: Powered by People

Lead: Claudia Lo, with the Anti-Harassment Tools team

Content Translation Newcomer Survey

2020-04-01T00:00:00.000Z

A customizable survey that can be used to easily, quickly, and reliably collect feedback from a more diverse pool of Content Translation users.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager, with Pau Giner and Amir E. Aharoni

Article Section Translation Study

2020-03-01T00:00:00.000Z

An evaluation of new designs for tools that help editors translate article sections and receive translation support on mobile devices.

Program: Machine Augmentation

Lead: Eli Asikin-Garmager, with the Language team and Pau Giner

Why Do People Edit Wikipedia?

2020-02-01T00:00:00.000Z

This literature review examines the drivers of engagement and the motivators of sustained involvement in Wikipedia. It provides an overview of academic research on Wikipedia production and editor motivations, highlighting the themes and queries of scholarship in this area.

Program: Powered by People

Lead: Anna Rader

Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning

2020-01-01T00:00:00.000Z

Oleksii Moskalenko, Denis Parra, Diego Saez-Trumper

ComplexRec 2020, Workshop on Recommendation in Complex Scenarios at the ACM RecSys Conference on Recommender Systems (RecSys 2020)

Program: Address Knowledge Gaps

Analyzing Wikidata Transclusion on English Wikipedia

2020-01-01T00:00:00.000Z

Isaac Johnson

1st Wikidata Workshop: International Semantic Web Conference (ISWC '20)

Program: Conduct Foundational Work

A Taxonomy of Knowledge Gaps for Wikimedia Projects (First Draft)

2020-01-01T00:00:00.000Z

Miriam Redi, Martin Gerlach, Isaac Johnson, Jonathan Morgan, Leila Zia

Program: Address Knowledge Gaps

Uneven Coverage of Natural Disasters in Wikipedia: The Case of Floods

2020-01-01T00:00:00.000Z

Valerio Lorini, Javier Rando, Diego Saez-Trumper, Carlos Castillo

17th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2020)

Program: Address Knowledge Gaps

Matching Ukrainian Wikipedia Red Links with English Wikipedia's Articles

2020-01-01T00:00:00.000Z

Kateryna Liubonko, Diego Sáez-Trumper

WikiWorkshop 2020: In Companion Proceedings of the Web Conference 2020 (WWW '20)

Program: Address Knowledge Gaps

Quantifying Engagement with Citations on Wikipedia

2020-01-01T00:00:00.000Z

Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West

In Proceedings of The Web Conference 2020 (WWW '20)

Program: Improve Knowledge Integrity

WMF Remote Worker Experience

2020-01-01T00:00:00.000Z

This is a lean, inward-facing research project that surfaced the challenges and highlights of working remotely for the Foundation and offered opportunities for the Foundation and non-remote staff to improve the work lives and for its globally distributed staff.

Program: Powered by People

Readers’ Perceptions of Desktop Wikipedia

2020-01-01T00:00:00.000Z

This study seeks to understand the experience and sentiment of new and casual readers on Wikipedia.

Program: Sentiment & Perception

Lead: Daisy Chen, with Hureo and the Readers Web team

Micro-contributions on the Android App

2019-12-01T00:00:00.000Z

This research studies the factors that motivate and retain Wikipedia editors who use the section editor tool on the Android app.

Program: Sentiment & Perception

Lead: Daisy Chen, with the Android team and Robin Schoenbaechler

Wiki Comparison

2019-12-01T00:00:00.000Z

This initiative, led by Neil Shah-Quinn, established a baseline for comparing key characteristics of 732 wiki projects (number of editors, amount of content, readers, readers by platform, etc).

Program: Numeric Exploration

Lead: Neil Shah-Quinn

Research Report N° 1

2019-12-01T00:00:00.000Z

The first in a series of biannual reports from Wikimedia Research, published every June and December.

New Page Patrol

2019-09-01T00:00:00.000Z

Content integrity on Wikipedia relies on editors who patrol articles and respond to vandalism. This research brings to light the workflows of editors who patrol on Wikipedia(s) and the tools used in the course of their work.

Program: Powered by People

Lead: Jonathan Morgan

Community Health Survey

2019-09-01T00:00:00.000Z

An inquiry into the unique challenges faced by volunteer administrators in conflict resolution situations and what types of resources would be most beneficial to this work.

Program: Online Social Behavior

Lead: Michael Raish, with the Anti-Harassment Tools Team

IP Masking Impact Report

2019-07-01T00:00:00.000Z

An examination of how edits by users who have not logged-in affect administrator workflows.

Program: Online Social Behavior

Lead: Claudia Lo, with the Anti-Harassment Tools Team

Movement Organizers

2019-06-01T00:00:00.000Z

The Movement Organizer Study sought to understand the life cycle of contributors by documenting paths, practices, challenges, and risks faced by successful organizers throughout the Free Knowledge Movement.

Program: Powered by People

Lead: Abbey Ripstra, The Community Engagement Team, and Ana Chang of Concept Hatchery

Searching on Commons: Structured Data Across Wikimedia

2019-06-01T00:00:00.000Z

This project tests usability of prototypes and captures users’ expectations and desires in their search experiences on the wikis.

Program: Sentiment & Perception

Lead: Daisy Chen, with the Structured Data Team

Ethical & Human-Centered AI

2019-05-01T00:00:00.000Z

This project identifies challenges and emerging opportunities to leverage AI technologies to further the mission of Wikimedia.

Program: Machine Augmentation

Lead: Jonathan Morgan

Harassment on Arabic Wikipedia

2019-02-01T00:00:00.000Z

This study aimed to establish a baseline understanding of the frequency of harassment, trolling, and threatening communicative practices on Arabic Wikipedia, to explore the effects of these practices on editing and community health, and to guide future investigation and strategic decisions for the Anti-Harassment Tools team.

Program: Online Social Behavior

Lead: Mike Raish, with the Anti-Harassment Tools Team

Reporting System Rubric for the Community Health Initiative

2019-02-01T00:00:00.000Z

A review of best practices in reporting systems for disputes and abuse across different platforms.

Program: Online Social Behavior

Online Disinformation and the Role of Wikipedia

2019-01-01T00:00:00.000Z

Diego Saez-Trumper

Program: Improve Knowledge Integrity

Eliciting New Wikipedia Users' Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start

2019-01-01T00:00:00.000Z

Ramtin Yazdanian, Leila Zia, Jonathan Morgan, Bahodir Mansurov, Robert West

In Proceedings of the Thirteenth International AAAI Conference on Web and Social Media (ICWSM '19)

Program: Address Knowledge Gaps

Thanks for Stopping By: A Study of "Thanks" Usage on Wikimedia

2019-01-01T00:00:00.000Z

Swati Goel, Ashton Anderson, Leila Zia

WikiWorkshop 2019: In Companion Proceedings of The Web Conference 2019 (WWW '19)

Program: Conduct Foundational Work

Detecting and Gauging Impact on Wikipedia Page Views

2019-01-01T00:00:00.000Z

Xiaoxi Chelsy Xie, Isaac Johnson, Anne Gomez

WikiWorkshop 2019: In Companion Proceedings of The Web Conference 2019 (WWW '19)

Program: Conduct Foundational Work

Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability

2019-01-01T00:00:00.000Z

Miriam Redi, Besnik Fetahu, Jonathan Morgan, Dario Taraborelli

In Proceedings of The Web Conference 2019 (WWW '19)

Program: Improve Knowledge Integrity

Why the World Reads Wikipedia: Beyond English Speakers

2019-01-01T00:00:00.000Z

Florian Lemmerich, Diego Sáez-Trumper, Robert West, Leila Zia

International ACM Conference on Web Search and Data Mining (WSDM '19)

Program: Address Knowledge Gaps

Steward Spambot Workflow

2018-12-01T00:00:00.000Z

An investigation into one of the most common tasks performed by stewards, global locks of suspected spambots that are active across multiple wikis.

Program: Online Social Behavior

Lead: Claudia Lo, with the Anti-Harassment Tools team

Reciprocity and Donation: How Article Topic, Quality and Dwell Time Predict Banner Donation on Wikipedia

2018-01-01T00:00:00.000Z

Rafal Kocielnik, Os Keyes, Jonathan T. Morgan, Dario Taraborelli, David W. McDonald, Gary Hsieh

Proceedings of the ACM on Human-Computer Interaction (CSCW '18)

'Welcome' Changes?: Descriptive and Injunctive Norms in a Wikipedia Sub-Community

2018-01-01T00:00:00.000Z

Jonathan T. Morgan, Anna Filippova

Proceedings of the ACM on Human-Computer Interaction (CSCW '18)

With Few Eyes, All Hoaxes are Deep

2018-01-01T00:00:00.000Z

Sumit Asthana, Aaron Halfaker

Proceedings of the ACM on Human-Computer Interaction (CSCW '18)

Bot Detection in Wikidata Using Behavioral and Other Informal Cues

2018-01-01T00:00:00.000Z

Andrew Hall, Loren Terveen, Aaron Halfaker

Proceedings of the ACM on Human-Computer Interaction (CSCW '18)

WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community

2018-01-01T00:00:00.000Z

Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Nithum Thain, Jeffery Sorensen, Lucas Dixon

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP '18)

Conversations Gone Awry: Detecting Early Signs of Conversational Failure

2018-01-01T00:00:00.000Z

Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Nithum Thain, Dario Taraborelli

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL '18)

Evaluating the impact of the Wikipedia Teahouse on newcomer socialization and retention

2018-01-01T00:00:00.000Z

Jonathan Morgan, Aaron Halfaker

Proceedings of the 14th International Symposium on Open Collaboration (OpenSym '18)

Structuring Wikipedia Articles with Section Recommendations

2018-01-01T00:00:00.000Z

Tiziano Piccardi, Michele Catasta, Leila Zia, Robert West

Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '18)

Program: Address Knowledge Gaps

Operationalizing conflict and cooperation between automated software agents in Wikipedia: A replication and expansion of Even Good Bots Fight

2018-01-01T00:00:00.000Z

R. Stuart Geiger, Aaron Halfaker

Proceedings of the ACM on Human-Computer Interaction (Nov 2017 issue, CSCW 2018 Online First)

Augmentation

2018-01-01T00:00:00.000Z

This is a position piece developed by Wikimedia Foundation to frame the potential of machine-in-the-loop technologies in making all the world's knowledge available to all, and to ensure the process to assemble that knowledge is inclusive, balanced and safe.

Program: Machine Augmentation

Lead: Wikimedia Foundation, with David Goldberg

Contribution Workflow Taxonomy

2018-01-01T00:00:00.000Z

This project details the workflow of contributors and assesses the level of difficulty they encounter with each step in the workflow in order to understand what contributes to editors' retention or burn-out.

Program: Powered by People

WikiCite 2017 Report

2017-01-01T00:00:00.000Z

Dario Taraborelli, Lydia Pintscher, Daniel Mietchen, Sarah Rodlund

figshare

Program: Improve Knowledge Integrity

Democratizing Data Science: The Community Data Science Workshops and Classes.

2017-01-01T00:00:00.000Z

Benjamin Mako Hill, Dharma Dailey, Richard T. Guy, Ben Lewis, Mika Matsuzaki, Jonathan T. Morgan

Big Data Factories: Scientific Collaborative approaches for virtual community data collection, repurposing, recombining, and dissemination

Identifying Semantic Edit Intentions from Revisions in Wikipedia

2017-01-01T00:00:00.000Z

Diyi Yang, Aaron Halfaker, Robert Kraut, Eduard Hovy

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Interpolating Quality Dynamics in Wikipedia and Demonstrating the Keilana Effect

2017-01-01T00:00:00.000Z

Aaron Halfaker

Proceedings of the 13th International Symposium on Open Collaboration (OpenSym '17)

Building Automated Vandalism Detection Tools for Wikidata

2017-01-01T00:00:00.000Z

Amir Sarabadani, Aaron Halfaker, Dario Taraborelli

Proceedings of the 26th International Conference on World Wide Web Companion (WWW '17 Companion)

Why We Read Wikipedia

2017-01-01T00:00:00.000Z

Philipp Singer, Florian Lemmerich, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, Jure Leskovec

Proceedings of the 26th International Conference on World Wide Web (WWW '17)

Program: Address Knowledge Gaps

The Wikipedia Adventure: Field Evaluation of an Interactive Tutorial for New Users

2017-01-01T00:00:00.000Z

Sneha Narayan, Jake Orlowitz, Jonathan Morgan, Benjamin Mako Hill, Aaron Shaw

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17)

Advancing the OCDX: Building Social Computing Infrastructure. In

2017-01-01T00:00:00.000Z

Sean Goggins, Matt Germonprez, A.J. Million, Aaron Halfaker, Libby Hemphill

Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17 Companion)

Ex machina: Personal attacks seen at scale

2017-01-01T00:00:00.000Z

Ellery Wulczyn, Nithum Thain, Lucas Dixon

Proceedings of the 26th International Conference on World Wide Web (WWW '17)

New Editor Experiences

2017-01-01T00:00:00.000Z

This study sought to understand the experiences, needs and challenges of new editors on midsize Wikipedias with the goal of learning how best to support and retain them.

Program: Powered by People

Lead: Wikimedia Foundation, with Reboot

WikiCite 2016 Report

2016-01-01T00:00:00.000Z

Dario Taraborelli, Jonathan Dugan, Lydia Pintscher, Daniel Mietchen, Cameron Neylon

figshare

Program: Improve Knowledge Integrity

Improving Website Hyperlink Structure Using Server Logs

2016-01-01T00:00:00.000Z

Ashwin Paranjape, Robert West, Leila Zia, Jure Leskovec

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining (WSDM '16)

Program: Address Knowledge Gaps

Not at Home on the Range: Peer Production and the Urban/Rural Divide

2016-01-01T00:00:00.000Z

Isaac L. Johnson, Yilun Lin, Toby Jia-Jun Li, Andrew Hall, Aaron Halfaker, Johannes Schöning, Brent Hecht

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16)

Who Did What: Editor Role Identification in Wikipedia.

2016-01-01T00:00:00.000Z

Diyi Yang, Aaron Halfaker, Robert E. Kraut, Eduard Hovy

Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM '16)

Growing Wikipedia Across Languages via Recommendation

2016-01-01T00:00:00.000Z

Ellery Wulczyn, Robert West, Leila Zia, Jure Leskovec

Proceedings of the 25th International Conference on World Wide Web (WWW '16)

Program: Address Knowledge Gaps

LeadWise: Using Online Bots to Recruit and Guide Expert Volunteers

2016-01-01T00:00:00.000Z

Claudia Flores-Saviaga, Saiph Savage, Dario Taraborelli

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW '16 Companion)

Breaking into new Data-Spaces: Infrastructure for Open Community Science. In

2016-01-01T00:00:00.000Z

Aaron Halfaker, Jonathan Morgan, Yuvaraj Pandian, Elizabeth Thiry, William Rand, Kristen Schuster, A.J. Million, Sean Goggins, David Laniado

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW '16 Companion)

New Readers

2016-01-01T00:00:00.000Z

This study sought to understand potential Wikimedia readers in countries where access to the internet is quickly growing.

Program: Powered by People

Lead: Wikimedia Foundation, with Reboot

Effects of a Wikipedia Orientation Game on New User Edits

2015-01-01T00:00:00.000Z

Sneha Narayan, Jake Orlowitz, Jonathan T. Morgan, Aaron Shaw

Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW'15 Companion)

User Session Identification Based on Regularities in Inter-activity Time

2015-01-01T00:00:00.000Z

Aaron Halfaker, Os Keyes, Daniel Kluver, Jacob Thebault-Spieker, Tien Nguyen, Kenneth Shores, Anuradha Uduwage, Morten Warncke-Wang

Proceedings of the 24th International Conference on World Wide Web (WWW '15).

The Success and Failure of Quality Improvement Projects in Peer Production Communities

2015-01-01T00:00:00.000Z

Morten Warncke-Wang, Vladislav R. Ayukaev, Brent Hecht, Loren G. Terveen

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW '15)

MoodBar: Increasing New User Retention in Wikipedia through Lightweight Socialization

2015-01-01T00:00:00.000Z

Giovanni Luca Ciampaglia, Dario Taraborelli

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW '15)

Advancing an Industry/Academic Partnership Model for Open Collaboration Research

2015-01-01T00:00:00.000Z

Jonathan T. Morgan, Aaron Halfaker, Dario Taraborelli, Tim Hwang, & Sean Goggins

Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW'15 Companion)

Editing beyond articles: Diversity & dynamics of teamwork in open collaborations

2014-01-01T00:00:00.000Z

Jonathan T. Morgan, Michael Gilbert, David W. McDonald, Mark Zachry

Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing (CSCW '14)

Accept, decline, postpone: How newcomer productivity is reduced in English Wikipedia by pre-publication review

2014-01-01T00:00:00.000Z

Jodi Schneider, Bluma S. Gelley, Aaron Halfaker

Proceedings of The International Symposium on Open Collaboration (OpenSym '14)

Snuggle: Designing for efficient socialization and ideological critique

2014-01-01T00:00:00.000Z

Aaron Halfaker, R. Stuart Geiger, Loren G. Terveen

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14)

The Rise and Decline of an Open Collaboration System. How Wikipedia's Reaction to Popularity Is Causing Its Decline

2013-01-01T00:00:00.000Z

Aaron Halfaker, R. Stuart Geiger, Jonathan T. Morgan, John Riedl

American Behavioral Scientist

Tea and sympathy: Crafting positive new user experiences on Wikipedia

2013-01-01T00:00:00.000Z

Jonathan T. Morgan, Siko Bouterse, Heather Walls, Sarah Stierch

Proceedings of the 2013 conference on Computer supported cooperative work (CSCW '13)

A content analysis of wikiproject discussions: Toward a typology of coordination language used by virtual teams

2013-01-01T00:00:00.000Z

Jonathan T. Morgan, Michael Gilbert, Mark Zachry, David McDonald

Proceedings of the 2013 conference on Computer supported cooperative work companion (CSCW '13)

Are we there yet? The development of a corpus annotated for social acts in multilingual online discourse

2013-01-01T00:00:00.000Z

Jonathan T Morgan, Meghan Oxley, Emily Bender, Liyi Zhu, Varya Gracheva, Mark Zachry

Dialogue and Discourse

Managing complexity: Strategies for group awareness and coordinated action in Wikipedia

2013-01-01T00:00:00.000Z

Michael Gilbert, Jonathan T Morgan, David W. McDonald, Mark Zachry

Proceedings of the 9th International Symposium on Open Collaboration (WikiSym '13)

When the levee breaks: Without bots, what happens to Wikipedia's quality control processes?

2013-01-01T00:00:00.000Z

R. Stuart Geiger, Aaron Halfaker

Proceedings of the 9th International Symposium on Open Collaboration (WikiSym '13)

Using edit sessions to measure participation in Wikipedia

2013-01-01T00:00:00.000Z

R. Stuart Geiger, Aaron Halfaker

Proceedings of the 2013 conference on Computer supported cooperative work (CSCW '13).

Making peripheral participation legitimate: Reader engagement experiments in Wikipedia

2013-01-01T00:00:00.000Z

Aaron Halfaker, Os Keyes, Dario Taraborelli

Proceedings of the 2013 conference on Computer supported cooperative work (CSCW '13)

Descending Mount Everest: Steps towards applied Wikipedia research. In

2013-01-01T00:00:00.000Z

Dario Taraborelli

Proceedings of the 9th International Symposium on Open Collaboration (WikiSym '13)

Etiquette in Wikipedia: Weaning new editors into productive ones

2012-01-01T00:00:00.000Z

Ryan Faulkner, Steven Walling, Maryana Pinchuk

Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration (WikiSym '12)

Bots and cyborgs: Wikipedia's immune system

2012-01-01T00:00:00.000Z

Aaron Halfaker, John Riedl

Computer

What aren't we measuring?: Methods for quantifying wiki-work. In

2012-01-01T00:00:00.000Z

Aaron Halfaker, Brian Keegan, Andrea Forte, R. Stuart Geiger, Dario Taraborelli, Maryana Pinchuk, Mikhil Masli

Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration (WikiSym '12)

Defense Mechanism or Socialization Tactic? Improving Wikipedia's Notifications to Rejected Contributors

2012-01-01T00:00:00.000Z

R. Stuart Geiger, Aaron Halfaker, Maryana Pinchuk, Steven Walling

Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM '12)

Negotiating Cultural Values in Social Media: A Case Study from Wikipedia

2012-01-01T00:00:00.000Z

Jonathan T. Morgan, Robert M. Mason, Karine Nahon

Proceedings of the 45th Hawaii International Conference on System Science (HICSS '12)

Contribution Taxonomy Project

2012-01-01T00:00:00.000Z

This project creates a taxonomy of the contributions made by Wikimedia communities, measure the contributions in that taxonomy, and elicit trends in volunteer contributions to the projects.