Jane Im

Publications

Beyond Borders: Women’s Perspectives on Harm and Justice after Online Harassment
Jane Im, Sarita Schoenebeck, Marilyn Iriarte, Gabriel Grill, Daricia Wilkinson, Amna Batool, Rahaf Alharbi, Audrey N. Funwie, Tergel Gankhuu, Eric Gilbert, Mustafa Naseem
CSCW 2022; recommended for acceptance with minor revisions

forthcoming

Informed Crowds Can Effectively Identify Misinformation
Paul Resnick, Aljohara Alfayez, Jane Im, Eric Gilbert
arXiv 2021

In this work, we investigated whether crowd workers can be trusted to judge whether news-like articles on the Internet are misleading. Do partisanship and inexperience get in the way?
arXiv

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
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. 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.

This paper builds on Una Lee's wonderful work on consentful technologies.✨

paper - project website: https://consentful.systems - CHI slides - talk

Synthesized Social Signals: Computationally-Derived Social Signals from Account Histories
Jane Im, Sonali Tandon, Eshwar Chandrasekharan, Taylor Denby, Eric Gilbert
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 - talk

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
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 - talk

Deliberation and Resolution on Wikipedia: A Case Study of Requests for Comments
Jane Im, Amy X Zhang, Christopher J Schilling, David Karger
CSCW 2018

Request for Comment (RfC) is a system within Wikipedia for inviting new inputs to help resolve an ongoing content dispute.
We researched on preventing stale RfCs by building models to predict RfCs' outcomes.
paper - CSCW slides - English Wikipedia RfC dataset - first research talk!

App Inventor VR Editor for Computational Thinking
Jane Im, Paul Medlock-Walton, Mike Tissenbaum
CTE 2017

I programmed a JavaScript API for embedding VR blocks into MIT App Inventor using libraries including three.js and Physijs.
short paper - slides

Lightly refereed workshop papers

Building Social Platforms around Affirmative Consent
Jane Im, Jeeyoon Hyun, Jill Dimond, Melody Berton, Eric Gilbert
( workshop paper @ CHI 2020, accepted to Moving Forward Together: Effective Activism For Change )

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 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.
workshop paper

Non-consensual Images/Videos on Social Media and Online Consent
Jane Im
( workshop paper @ CHI 2019, accepted to "Sensitive Research, Practice and Design in HCI" )

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.
workshop paper

Others

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.
final report - slides - demo

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 - details - demo - slides