activity
20202025
most citedDo LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark

36 citations · 89 across the 10 of their papers we have counts for

collaborators

10 papers

cs.HC2025

Communication styles and reader preferences of LLM- and human-authored COVID-19 information explanations: a case study

Jiawei Zhou, Kritika Venkatachalam, Minje Choi +2

With the wide adoption of large language models (LLMs) in information assistance, it is essential to examine their alignment with human communication styles and values. We situate…

cs.HC2025

Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data

Sungbok Shin, Sunghyo Chung, Hyeon Jeon +6

An individual's data can reveal facets of behavior and identity, but its interpretation is context dependent. We can easily identify various self-tracking applications that help pe…

cs.CL2023★ 3 cited

Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs

Huaman Sun, Jiaxin Pei, Minje Choi +1

Human judgments are inherently subjective and are actively affected by personal traits such as gender and ethnicity. While Large Language Models (LLMs) are widely used to simulate…

cs.CL2023★ 1 cited

You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments

Bangzhao Shu, Lechen Zhang, Minje Choi +5

The versatility of Large Language Models (LLMs) on natural language understanding tasks has made them popular for research in social sciences. To properly understand the properties…

cs.CL2023

Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics

Aparna Ananthasubramaniam, Hong Chen, Jason Yan +7

Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of o…

cs.SI2023★ 1 cited

Profile Update: The Effects of Identity Disclosure on Network Connections and Language

Minje Choi, Daniel M. Romero, David Jurgens

Our social identities determine how we interact and engage with the world surrounding us. In online settings, individuals can make these identities explicit by including them in th…

cs.CL2023★ 36 cited

Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark

Minje Choi, Jiaxin Pei, Sagar Kumar +2

Large language models (LLMs) have been shown to perform well at a variety of syntactic, discourse, and reasoning tasks. While LLMs are increasingly deployed in many forms including…

cs.SI2023★ 7 cited

Analyzing the Engagement of Social Relationships During Life Event Shocks in Social Media

Minje Choi, David Jurgens, Daniel M. Romero

Individuals experiencing unexpected distressing events, shocks, often rely on their social network for support. While prior work has shown how social networks respond to shocks, th…

cs.SI2021★ 9 cited

More than Meets the Tie: Examining the Role of Interpersonal Relationships in Social Networks

Minje Choi, Ceren Budak, Daniel M. Romero +1

Topics in conversations depend in part on the type of interpersonal relationship between speakers, such as friendship, kinship, or romance. Identifying these relationships can prov…

cs.CY2020★ 32 cited

Ten Social Dimensions of Conversations and Relationships

Minje Choi, Luca Maria Aiello, Krisztian Zsolt Varga +1

Decades of social science research identified ten fundamental dimensions that provide the conceptual building blocks to describe the nature of human relationships. Yet, it is not c…