activity
20172023
most citedMeasuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network

13 citations · 17 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2023★ 2 cited

SCITUNE: Aligning Large Language Models with Human-Curated Scientific Multimodal Instructions

Sameera Horawalavithana, Sai Munikoti, Ian Stewart +2

Instruction finetuning is a popular paradigm to align large language models (LLM) with human intent. Despite its popularity, this idea is less explored in improving LLMs to align e…

cs.CL2022

Democratizing Machine Learning for Interdisciplinary Scholars: Report on Organizing the NLP+CSS Online Tutorial Series

Ian Stewart, Katherine Keith

Many scientific fields -- including biology, health, education, and the social sciences -- use machine learning (ML) to help them analyze data at an unprecedented scale. However, M…

cs.CL2021

How Well Do You Know Your Audience? Toward Socially-aware Question Generation

Ian Stewart, Rada Mihalcea

When writing, a person may need to anticipate questions from their audience, but different social groups may ask very different types of questions. If someone is writing about a pr…

cs.CL2021★ 1 cited

Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media

MeiXing Dong, Xueming Xu, Yiwei Zhang +2

Many people aim for change, but not everyone succeeds. While there are a number of social psychology theories that propose motivation-related characteristics of those who persist w…

cs.CV2021

FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework

Santiago Castro, Ruoyao Wang, Pingxuan Huang +5

We propose fill-in-the-blanks as a video understanding evaluation framework and introduce FIBER -- a novel dataset consisting of 28,000 videos and descriptions in support of this e…

cs.SI2019★ 1 cited

Rock, Rap, or Reggaeton?: Assessing Mexican Immigrants' Cultural Assimilation Using Facebook Data

Ian Stewart, René Flores, Tim Riffe +2

The degree to which Mexican immigrants in the U.S. are assimilating culturally has been widely debated. To examine this question, we focus on musical taste, a key symbolic resource…

cs.CL2018

Sí o no, què penses? Catalonian Independence and Linguistic Identity on Social Media

Ian Stewart, Yuval Pinter, Jacob Eisenstein

Political identity is often manifested in language variation, but the relationship between the two is still relatively unexplored from a quantitative perspective. This study examin…

cs.CL2018

Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline

Ian Stewart, Jacob Eisenstein

In an online community, new words come and go: today's "haha" may be replaced by tomorrow's "lol." Changes in online writing are usually studied as a social process, with innovatio…

cs.CL2017

#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation

Ian Stewart, Stevie Chancellor, Munmun De Choudhury +1

Distinctive linguistic practices help communities build solidarity and differentiate themselves from outsiders. In an online community, one such practice is variation in orthograph…

cs.CL2017

Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline

Ian Stewart, Jacob Eisenstein

In an online community, new words come and go: today's "haha" may be replaced by tomorrow's "lol." Changes in online writing are usually studied as a social process, with innovatio…

cs.SI2017★ 13 cited

Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network

Ian Stewart, Dustin Arendt, Eric Bell +1

Language in social media is extremely dynamic: new words emerge, trend and disappear, while the meaning of existing words can fluctuate over time. Such dynamics are especially nota…