Do conflicts make Wikipedia better?
How many times has Wikipedia articles saved you from failing a homework assignment? Those articles would not have been of so much help if it were not for the contributors. These contributors do not always agree with each other. In this DRG, we will address how the conflict arises in the Wikipedia community.
To further understand this challenge, we will explore how editors behave across the various language editions of Wikipedia. The English language Wikipedia is notable for its enormous database but there are also 288 other active language editions. While collaboration in the English Wikipedia has been researched extensively, these other language editions remain understudied. The goal of this project is to understand editor behavior in the English, French and Spanish language edition of Wikipedia.
We are looking for up to 8 students during Spring quarter to help with a study understanding how conflict occurs across Wikipedias. As part of this research, we will be exploring the literature around editor conflict and multilingual Wikipedia. Additionally, we will replicate prior methods used to understand this platform to check whether prior assumptions still hold true across different language samples and in present day Wikipedia.
We are looking for students, who have experience with or a willingness to learn (1) qualitative coding and (2)user behavior on online collaborative systems. It is not necessary but French and Spanish language skills will be helpful.
This is a 2-credit research group offered to undergraduate (HCDE 496) and graduate (HCDE 596) students. Students will meet for 1 hour every week (Tuesday 4-5pm) and should commit around 4 hours outside of class time.
If you are interested in participating in this DRG, please fill out the following form: https://goo.gl/forms/dcwFeBR6l4kUe0N92
Supporting Collaborative Search with ComeTogether
Led by Mark Zachry, Ray Hong, and Mia Suh
Note: This research group is at enrollment capacity for Spring 2018
Do you search for places using services like Yelp, Airbnb, or TripAdvisor? Have you ever searched for places to go with your partner, family members, or friends?
This research group will extend our ongoing research into how to improve distributed collaborative searching to support group decision-making. Through previous work, we have designed, developed, and evaluated a new approach called Collaborative Dynamic Queries (C-DQ). Recently our team created a system called ComeTogether, which allows a group of people to search for recreational locations together. This winter quarter we will design and conduct a deployment study with real users.
Activities for this research group will include working with the research team to develop interview protocols, conduct pre-/post-interviews, analyze data, and potentially prepare a research paper. We are looking for students with prior experiences or interest in qualitative research. We plan to work with 5-6 students who have an interest in the topic and/or have prior experience in conducting interviews and analyzing qualitative data. To enroll, you must be admitted to an HCDE degree program and should have completed some coursework, such as HCDE 313/418/518 or HCDE 417/517.
Mark Zachry's Directed Research Group archive:
- Working Conditions in the Online Economy (2017)
- Picture to Practice: Visualizing Everyday Technology Use (2016, 2017)
- Consuming Information: Identifying Usage Patterns Associated with Free Online Information Resources (2016)
- Organizing HCI: Taking a User-Centered Design Approach to Improving Small Group Coordination (2015)
- Current Research in Social Computing (2014)
- Organizing HCI: Designing a Task Group to Shape Perceptions of Human Computer Interaction (2014)
- Haystack Exchange: Designing a Technology to Support New Forms of Social Interaction
- Design and Development for Social Translucence: The Re:Flex Project (2013)
- Current Research in Social Computing (2013)
- Communicative Practices in Virtual Workspaces (CPVW)
- Social Perspectives on the Design of Online Communities
- Networks and Ecologies