Skip to main content


Kate Starbird

Spring 2022

Investigating Content Integrity and Disinformation Risks Across Wikipedia Language Editions

Facilitated by HCDE PhD student Zarine Kharazian, with guidance from faculty advisors Kate Starbird and Benjamin Mako Hill 

Note this DRG is at capacity for spring and no longer accepting applications.

This directed research group will conduct a qualitative interview study to better understand “content integrity” risks across Wikipedia language editions, particularly non-English Wikipedia projects. Specifically, we are interested in understanding whether some Wikipedia language editions are more vulnerable to disinformation campaigns and ideologically-motivated editing than others, and why. 

A small team of students will conduct semi-structured interviews with Wikipedia stakeholders and community members, including editors of specific language editions and contributors involved with various cross-wiki monitoring activities. Students will also transcribe and qualitatively code the interviews. While interviews will be conducted in English, students with foreign language skills are strongly encouraged to apply, as there may be opportunities to supplement the interview data with analyses of digital trace data from various Wikipedia language projects.

Students will conduct 1-2 interviews a week with participants over Zoom (scheduling of interviews TBD). Most interviews will last about one hour. Additionally, the DRG will meet in person once a week for 1-2 hours. Outside of meeting times and interviews, the expected time commitment per week is approximately 3 hours — for a total of 6 hours per week. Students should register for 2 credits of HCDE 496/596.

We are looking for students with a range of skills. This DRG would be a great fit for those who have one or more of the following: 

  • Experience with qualitative interviewing
  • Foreign language skills (specifically strong reading ability in a language other than English)
  • Interest in or experience with Wikipedia or other peer production platforms
  • Background in political science, communication, or information studies

To apply, please send an email to that includes:

  • Current CV/resume;
  • A brief description of why you are interested in the group;
  • Any relevant experience, including language skills;
  • What you feel you can bring to the group.

Spring 2022

Evaluating Disaster Adaptation through Coding Short Form Internet Videos

Note this DRG is at capacity for spring and no longer accepting applications.

This research group is studying social media data from the 2021 Texas Freeze Power Crisis to determine how people adapt to natural disaster events. This DRG is open to both undergraduate and graduate students. Students will qualitatively code short form Internet videos, such as TikToks and Instagram stories, shared in tweets that were posted during the 2021 Texas Power Crisis. We are looking for students who have had some experience with qualitative coding text or other data (experience coding videos is not required). We will meet a total of 1-2 hours per week. Outside of meeting times, the expected time investment per week is approximately 4 hours. This DRG will be 2 credits.

Please note that the videos students will be coding may potentially include distressing content of people experiencing a crisis event. Please keep this in mind if you decide to apply for this DRG. 

Dr. Starbird's Research Group archive