Farnaz Jahanbakhsh

schoolUniversity of Michiganbar_chart#661 Global Rank

Total Papers

HCI Rank

#661

Research Areas

Years Active

Recent Publications

What If Moderation Didn’t Mean Suppression? A Case for Personalized Content Transformation

Centralized content moderation paradigm both falls short and overreaches: 1) it fails to account for the subjective nature of harm, and 2) it acts with blunt suppression in response to content deemed harmful, even when such content can be salvaged. We first investigate this through formative interviews, documenting ho…

CHI '26CorrespondingGenerative AI (Text, Image, Music, Video) +2

Interpretive Cultures: Resonance, randomness, and negotiated meaning for AI-assisted tarot divination

While generative AI tools are increasingly adopted for creative and analytical tasks, their role in interpretive practices,where meaning is subjective, plural, and non-causal, remains poorly understood. This paper examines AI-assisted tarot reading, a divinatory practice in which users pose a query, draw cards through…

CHI '261st AuthorAI Ethics, Fairness & Accountability +2

Value Alignment of Social Media Ranking Algorithms

While social media feed rankings are primarily driven by engagement signals rather than any explicit value system, the resulting algorithmic feeds are not value-neutral: engagement may prioritize specific individualistic values. This paper presents an approach for social media feed value alignment. We adopt Schwartz’s…

CHI '241st AuthorPrivacy by Design & User Control +1

A Browser Extension for in-place Signaling and Assessment of Misinformation

The status-quo of misinformation moderation is a central authority, usually social platforms, deciding what content constitutes misinformation and how it should be handled. However, to preserve users’ autonomy, researchers have explored democratized misinformation moderation. One proposition is to enable users to asse…

CHI '231st AuthorHuman-LLM Collaboration +2

Exploring the Use of Personalized AI for Identifying Misinformation on Social Media

This work aims to explore how human assessments and AI predictions can be combined to identify misinformation on social media. To do so, we design a personalized AI which iteratively takes as training data a single user's assessment of content and predicts how the same user would assess other content. We conduct a use…

CSCW '221st AuthorFact Checking; Fact Checking

Leveraging Structured Trusted-Peer Assessments to Combat Misinformation

Platform operators have devoted significant effort to combating misinformation on behalf of their users. Users are also stakeholders in this battle, but their efforts to combat misinformation go unsupported by the platforms. In this work, we consider three new user affordances that give social media users greater powe…

CSCW '222nd AuthorOnline Learning; Online Learning

Spotlights: Designs for Directing Learners' Attention in a Large-Scale Social Annotation Platform

A new approach to online discussion, which situates student discussions in the margins of the course content, can enhance student engagement with course materials. However, in high-enrollment classes, the large number of comments can overwhelm and intimidate students. Some become frustrated by the volume of potential…

CSCW '221st AuthorFact Checking; Fact Checking

Our Browser Extension Lets Readers Change the Headlines on News Articles, and You Won't Believe What They Did!

Headlines play a critical role in how users perceive articles. But many headline publishers craft headlines in ways that either attract clicks in an attempt to earn ad revenue, or misinform users or manipulate their opinions for malicious intents. Such headlines can do harm since many users simply skim and share head…

CSCW '221st AuthorBusiness Processes & Worker Advocacy; Business Processes & Worker Advocacy

Understanding Questions that Arise When Working with Business Documents

While digital assistants are increasingly used to help with various productivity tasks, less attention has been paid to employing them in the domain of business documents. To build an agent that can handle users' information needs in this domain, we must first understand the types of assistance that users desire when…

CSCW '211st AuthorMisinformation, Conspiracies, and Manipulations

Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media

When users on social media share content without considering its veracity, they may unwittingly be spreading misinformation. In this work, we investigate the design of lightweight interventions that nudge users to assess the accuracy of information as they share it. Such assessment may deter users from posting misinfo…

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