Department of Computer Science
Northwestern, Evanston, IL
I am a third-year computer science PhD student with Dr. Brent Hecht at Northwestern University. I am primarily researching how inequalities in the amount of human-generated content contributed by different populations impact the algorithms and research that use this data with the goal of determining how we might more fairly and robustly use this valuable stream of information.
A paper and a note accepted to CHI 2017! Thanks to my wonderful collaborators at GroupLens and the folks at Google for the internship opportunity!
Finished an awesome summer with the good folks in the user experience research team for Google Maps. Now to start at Northwestern University, where I'm excited to meet and start working with all of the amazing labs while also continuing work with the amazing GroupLens Center for Social and Human-Centered Computing!
Should have announced this a few months ago, but very very very excited to join the UX team at Google Maps this summer for an internship!
Excellent blog post by Hannah Miller on our recent ICWSM 2016 paper about miscommunication that arises from emojis. Give it a read!
Presented work on how biases arise in research that uses crowd-derived geographic information at the AAAI Spring Symposium on Observational Studies through Social Media and Other Human-Generated Content! The phonetic pronunciation of the much-shortened acronym (OSSM) sums up the workshop quite nicely.
Paper on emoji miscommunication accepted to ICWSM 2016! Awesome collaboration with fellow GroupLens students Hannah Miller, Jacob Thebault-Spieker, and Stephen Chang as well as professors Loren Terveen and Brent Hecht.
Two papers to CHI accepted!
Johnson, I., McMahon, C., Schöning, J., and Hecht, B. The Effect of Population and "Structural" Biases on Social Media-based Algorithms -- A Case Study in Geolocation Inference Across the Urban-Rural Spectrum. ACM Conference on Human Factors in Computing Systems 2017.
Johnson, I., Schwanda Sosik, V., and Ballard, K. Stranger Searching in a Strange Land: The Impact of Familiarity on Local Search. ACM Conference on Human Factors in Computing Systems 2017. Short Paper.
Miller, H., Thebault-Spieker, J., Chang, S., Johnson, I., Terveen, L., and Hecht, B. "Blissfully happy" or "ready to fight": Varying Interpretations of Emoji. AAAI International Conference on Web and Social Media 2016.
Paper PDF | Blog Post
Johnson, I., Sengupta, S., Schöning, J., and Hecht, B. The Geography and Importance of Localness in Geotagged Social Media. ACM Conference on Human Factors in Computing Systems 2016.
Paper PDF | CHI '16 Slides | Code
Johnson, I., Lin, Y., Li, T., Hall, A., Halfaker, A., Schöning, J., and Hecht, B. Not at Home on the Range: Peer Production and the Urban/Rural Divide. ACM Conference on Human Factors in Computing Systems 2016.
Paper PDF | CHI '16 Slides | Maps
Sen, S., Johnson, I., Harper, R., Mai, H., Olsen, S., Mathers, B., Vonessen, L., Wright, M., and Hecht, B.. Towards Domain-Specific SR: A Case Study from Geography. International Joint Conference on Artificial Intelligence 2015.
Wikimedia Research Showcase Talk
Johnson, I. Wikipedia and the Urban-Rural Divide. 15 February 2017.
Description and Slides
Johnson, I. and Hecht, B. Inferred Profiles: Examining How People Understand and Control What Algorithms Infer about Them. ACM Conference on Computer-Supported Cooperative Work and Social Computing 2017 Workshop on Networked Privacy.
AAAI Spring Symposium 2016
Johnson, I. and Hecht, B. Structural Causes of Bias in Crowd-derived Geographic Information: Towards a Holistic Understanding. AAAI 2016 Spring Symposium on Observational Studies through Social Media and Other Human-Generated Content.
Paper PDF | OSSM '16 Slides