I am currently researching how we can design and build a social internet that is safe and empowering for everyone, including marginalized populations.
Non-consensual interactions are pervasive in current online social spaces (e.g., online harassment and abuse, revenge porn). I build consentful socio-technical systems: systems that only allow interpersonal interactions that people consent to.
Recently, I wrote a paper on using affirmative consent, an idea developed by feminists to theorize and prevent sexual assault, to understand and reimagine social platforms (accepted to CHI 2021). I'm now focusing on building systems based on the design ideas derived from the insights. I'm also exploring the idea of building tools that can help developers create safer social systems.
My general interests lie in Human-Computer Interaction and Social Computing. I'm a Ph.D. student at the University of Michigan School of Information and Computer Science & Engineering. I was accepted to and am enrolled in both CSE and School of Information for my Ph.D. degree.
06/04/2021: I wrapped up my first week at Facebook as a UX Researcher Intern.
05/14/2021: Weikun Lyu, an undergraduate student who I mentored, won the Blue Ribbon Certificate for his presentation on consentful messaging system during UROP’s Virtual Research Symposium! Huge congrats!😊🎉
Yes: Affirmative Consent as a Theoretical Framework for Understanding and Imagining Social Platforms Jane Im, Jill Dimond, Melody Berton, Una Lee, Katherine Mustelier, Mark Ackerman, Eric Gilbert
( full paper @ CHI 2021 ) Best Paper Honorable Mention
Affirmative consent is the idea that someone must ask for, and earn, enthusiastic approval before interacting with someone else. For decades, feminist activists and scholars have used affirmative consent to theorize and prevent sexual assault. In this paper, we introduce the five principles of affirmative consent: affirmative consent is voluntary, informed, specific, revertible, and unburdensome. We show how these principles can 1) theoretically explain a wide range of problematic phenomena in social platforms (e.g., online harassment, revenge porn) and 2) generate new design ideas for consentful socio-technical systems.
Synthesized Social Signals: Computationally-Derived Social Signals from Account Histories Jane Im, Sonali Tandon, Eshwar Chandrasekharan, Taylor Denby, Eric Gilbert
( full paper @ CHI 2020 )
Social signals are crucial when we decide if we want to interact with someone online. However, social signals are limited to the few that platform designers provide, and most can be easily manipulated.
We propose a new idea called synthesized social signals (S3s): social signals computationally derived from an account’s history and then rendered into the profile. By developing and deploying a Chrome extension called Sig, we show that S3s can reduce receiver costs and raise the cost of faking signals.
paper - blog post - CHI slides - Reddit post
Still Out There: Modeling and Identifying Russian Troll Accounts on Twitter
Jane Im, Eshwar Chandrasekharan, Jackson Sargent, Paige Lighthammer, Taylor Denby, Ankit Bhargava, Libby Hemphill, David Jurgens, Eric Gilbert
( full paper @ WebSci 2020 ) Best Paper Runner Up Award
There is evidence that Russia’s Internet Research Agency attempted to interfere with the 2016 U.S. election by running fake accounts on Twitter—often referred to as “Russian trolls”. In this work, we: 1) develop machine learning models that predict whether a Twitter account is a Russian troll within a set of 170K control accounts; and, 2) demonstrate that it is possible to use this model to find active accounts on Twitter still likely acting on behalf of the Russian state.
paper - blog post
Deliberation and Resolution on Wikipedia: A Case Study of Requests for Comments Jane Im, Amy X Zhang, Christopher J Schilling, David Karger
( full paper @ CSCW 2018 )
In this position paper we argue that HCI researchers can play a role in activism by building safe and consentful social platforms with feminist values, in particular, affirmative consent (“yes means yes"). Inspired by feminist activism, we have derived the core concepts of affirmative consent from prior literature. We are also generating design insights based on our definition of affirmative consent — which we hope will inspire multiple platforms that only allow safe and consensual interactions, and further aid and empower activism.
Non-consensual images/videos are a huge problem on the Internet, including social media.
This workshop paper stemmed from my interest on the problem of creepshots (불법촬영, "몰카") in South Korea.
Customized blocks in MIT App Inventor
I implemented a new feature called “user-defined blocks (customizable blocks)” into MIT App Inventor,
an open source web platform that lets users build their own Android Apps quickly by using blocks-based programming.
I became interested into the system-building aspect of HCI through this project.
3D Printing Assisted Fabrication of Soft Robotic Hand with Embedded Soft Electronic Circuits
We developed 3D printing based soft robotic hands with stand-alone actuation and control system.
I also contributed to the lab by independently implementing the software interface for precision 3D printing for advanced soft materials.
award announced page
This site is made by Jane Im, code here. Last updated 6/4/2021