Loren Terveen

schoolUniversity of Minnesotabar_chart#906 Global Rank

Total Papers

HCI Rank

#906

Research Areas

Years Active

Recent Publications

Unraveling Entangled Feeds: Rethinking Social Media Design to Enhance User Well-being

Social media platforms have rapidly adopted algorithmic curation with little consideration for the potential harm to users' mental well-being. We present findings from design workshops with 21 participants diagnosed with mental illness about their interactions with social media platforms. We find that users develop ca…

CHI '265th+ AuthorHonorable MentionAI-Assisted Decision-Making & Automation +2

Opportunities and Barriers for AI Feedback on Meeting Inclusion in Socioorganizational Teams

Inclusion is important for meeting effectiveness, which is in turn central to organizational functioning. One way of improving inclusion in meetings is through feedback, but social dynamics make giving feedback difficult. We propose that AI agents can facilitate feedback exchange by being psychologically safer recipie…

CSCW '255th+ AuthorBest PaperHealth

Peer Recommendation Interventions for Health-related Social Support: a Feasibility Assessment

Online health communities (OHCs) offer the promise of connecting with supportive peers. Forming these connections first requires \textit{finding} relevant peers---a process that can be time-consuming. Peer recommendation systems are a computational approach to make finding peers easier during a health journey. By e…

CSCW '255th+ AuthorBest PaperCommunity Engaged Research

Beyond the Individual: A Community-Engaged Framework for Ethical Online Community Research

Online community research routinely poses minimal risk to individuals, but does the same hold true for online communities? In response to high-profile breaches of online community trust and increased debate in the social computing research community on the ethics of online community research, this paper investigates c…

CSCW '22CorrespondingWikipedia; Wikipedia

“We Need a Woman in Music”: Exploring Wikipedia’s Values on Article Priority

Wikipedia---like most peer production communities---suffers from a basic problem: the amount of work that needs to be done (articles to be created and improved) exceeds the available resources (editor effort). Recommender systems have been deployed to address this problem, but they have tended to recommend work tasks…

CHI '183rd AuthorGeospatial & Map Visualization +1

Distance and Attraction: Gravity Models for Geographic Content Production

Volunteered Geographic Information (VGI), such as contributions to OpenStreetMap and geotagged Wikipedia articles, is often assumed to be produced locally. However, recent work has found that peer-produced VGI is frequently contributed by non-locals. , in which contributions flow between regions based on distance, pr…

CSCW '18CorrespondingCitizen Science and Scientific Research

Never Too Old, Cold or Dry to Watch the Sky: A Survival Analysis of Citizen Science Volunteerism

CoCoRaHS is a multinational citizen science project for observing precipitation. Like many citizen science projects, volunteer retention is a key measure of engagement and data quality. Through survival analysis, we found that participant age (self-reported at account creation) is a significant predictor of retention.…

CSCW '184th AuthorComputer-Mediated Communication

What I See is What You Don't Get: The Effects of (Not) Seeing Emoji Rendering Differences across Platforms

Emoji are popular in digital communication, but they are rendered differently on different viewing platforms (e.g., iOS, Android). It is unknown how many people are aware that emoji have multiple renderings, or whether they would change their emoji-bearing messages if they could see how these messages render on recipi…

CHI '18CorrespondingParticipatory Design +1

Becoming a SIGCHI Volunteer

This event will introduce you to ways of becoming a volunteer at ACM SIGCHI events. The event will explain the ACM, what is SIGCHI, provide example pathways and explain the myriad volunteer opportunities. You might have heard of general, program or papers chairs but there are hundreds of volunteers involved across our…

CSCW '18CorrespondingWikipedia

Value-Sensitive Algorithm Design: Method, Case Study, and Lessons

Most commonly used approaches to developing automated or artificially intelligent algorithmic systems are Big Data-driven and machine learning-based. However, these approaches can fail, for two notable reasons: (1) they may lack critical engagement with users and other stakeholders; (2) they rely largely on historical…

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