most citedBotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts

4 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC20242 cited

Mapping the Landscape of Independent Food Delivery Platforms in the United States

Yuhan Liu, Amna Liaqat, Owen Xingjian Zhang +5

Beyond the well-known giants like Uber Eats and DoorDash, there are hundreds of independent food delivery platforms in the United States. However, little is known about the sociote…

cs.SI20234 cited

BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts

Yuhan Liu, Zhaoxuan Tan, Heng Wang +3

Twitter bot detection has become a crucial task in efforts to combat online misinformation, mitigate election interference, and curb malicious propaganda. However, advanced Twitter…

cs.HC20231 cited

Should Policymakers be Involved? Understanding the Opinions and Needs for Independent Food Delivery Platforms in the United States regarding Public Policy

Yuhan Liu, Amna Liaqat, Andrés Monroy-Hernández

Mainstream food delivery platforms, like DoorDash and Uber Eats, have been the locus of fierce policy debates about their unfair business and labor practices. At the same time, hun…

cs.HC20232 cited

Agent-based Simulation for Online Mental Health Matching

Yuhan Liu, Anna Fang, Glen Moriarty +2

Online mental health communities (OMHCs) are an effective and accessible channel to give and receive social support for individuals with mental and emotional issues. However, a key…

cs.HC20231 cited

Understanding Human Intervention in the Platform Economy: A case study of an indie food delivery service

Samantha Dalal, Ngan Chiem, Nikoo Karbassi +2

This paper examines the sociotechnical infrastructure of an "indie" food delivery platform. The platform, Nosh, provides an alternative to mainstream services, such as Doordash and…