(For a full list see below)
MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches
Merrill, Mike A. and Zhang, Ge and Althoff, Tim
KDD 2021
Data analyses are based on a series of “decision points” including data filtering, feature operationalization and selection, model specification, and parametric assumptions. In this work we mine Kaggle for hundreds of thousands of decision points and train a novel language model to suggest alternative analyses.
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Sharma, Ashish and Lin, Inna W and Miner, Adam S and Atkins, David C and Althoff, Tim
WWW 2021
Access to mental health care is a global challenge that online peer support platforms like TalkLife can help mitigate. Millions of people seek and provide support online but they struggle to have effective conversations. In this paper, we work towards improving empathy in online mental health support conversations. We introduce empathic rewriting, a new task for transforming low-empathy conversations to higher empathy. We propose PARTNER, a deep reinforcement learning agent that learns to make sentence-level edits to conversations in order to increase the expressed level of empathy while maintaining conversation quality through specificity, fluency, and diversity.
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications
Jina Suh and Eric Horvitz and Ryen W. White and Tim Althoff
WSDM 2021
The COVID-19 pandemic has fundamentally changed our lives beyond just our physical health. To understand the impact of the pandemic and associated policy decisions on a multitude of human needs, we propose a computational methodology, building on Maslow’s hierarchy of needs, that can capture a holistic view of relative changes in needs following the pandemic through a difference-in-differences approach that corrects for seasonality and volume variations. When applied to over 35 billion search interactions spanning over 36000 ZIP codes in the US, we found that the expression of basic human needs has increased exponentially while higher-level aspirations declined, that the durations of shelter-in-place mandates significantly impacted social-emotional needs, and that there are potential barriers to meeting critical needs online.
What Makes Online Communities ‘Better’? Measuring Values, Consensus, and Conflict across Thousands of Subreddits
Weld, Galen and Zhang, Amy X. and Althoff, Tim
ICWSM 2022
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference
Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan Rossi, and Tim Althoff
ICWSM 2022
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications
Jina Suh and Eric Horvitz and Ryen W. White and Tim Althoff
WSDM 2021
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Sharma, Ashish and Lin, Inna W and Miner, Adam S and Atkins, David C and Althoff, Tim
WWW 2021
MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches
Merrill, Mike A. and Zhang, Ge and Althoff, Tim
KDD 2021
The Effect of Moderation on Online Mental Health Conversations
David Wadden and Tal August and Qisheng Li and Tim Althoff
ICWSM 2021
Political Bias and Factualness in News Sharing across more than 100,000 Online Communities
Weld, Galen and Glenski, Maria and Althoff, Tim
ICWSM 2021 2021
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
Ashish Sharma and Adam S. Miner and David C. Atkins and Tim Althoff
EMNLP 2020
Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis
Liu, Yang and Althoff, Tim and Heer, Jeffrey
CHI 2020
Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms
Ashish Sharma and Monojit Choudhury and Tim Althoff and Amit Sharma
ICWSM 2020
Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions
Jessica Schroeder and Jina Suh and Chelsey Wilks and Mary Czerwinski and Sean Munson and James Fogarty and Tim Althoff
EAI Pervasive Health 2020
Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students
Xu, Xuhai and Chikersal, Prerna and Doryab, Afsaneh and Villalba, Daniella K. and Dutcher, Janine M. and Tumminia, Michael J. and Althoff, Tim and Cohen, Sheldon and Creswell, Kasey G. and Creswell, J. David and Mankoff, Jennifer and Dey, Anind K.
IMWUT 2019
Passively-Sensed Behavioral Correlates of Discrimination Events in College Students
Sefidgar, Yasaman S. and Seo, Woosuk and Kuehn, Kevin S. and Althoff, Tim and Browning, Anne and Riskin, Eve and Nurius, Paula S. and Dey, Anind K. and Mankoff, Jennifer
CSCW 2019
Goal-Setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal
Gordon, Mitchell and Althoff, Tim and Leskovec, Jure
2019
Modeling Interdependent and Periodic Real-World Action Sequences
Kurashima, Takeshi and Althoff, Tim and Leskovec, Jure
WWW 2018
Psychomotor function measured via online activity predicts motor vehicle fatality risk
Althoff, Tim and Horvitz, Eric and White, Ryen W
NPJ Digital Medicine 2018
How gamification affects physical activity: Large-scale analysis of walking challenges in a mobile application
Shameli, Ali and Althoff, Tim and Saberi, Amin and Leskovec, Jure
WWW 2017
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior
Althoff, Tim and Jindal, Pranav and Leskovec, Jure
WSDM 2017
Large-scale physical activity data reveal worldwide activity inequality
Althoff, Tim and Sosic, Rok and Hicks, Jennifer L and King, Abby C and Delp, Scott L and Leskovec, Jure
Nature 2017
Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance.
Althoff, Tim and Horvitz, Eric and White, Ryen W and Zeitzer, Jamie
WWW 2017
Influence of Pokémon Go on Physical Activity
Althoff, Tim and White, Ryen W and Horvitz, Eric
JMIR 2016
Large-scale Analysis of Counseling Conversations: {An} Application of Natural Language Processing to Mental Health
Althoff, Tim and Clark, Kevin and Leskovec, Jure
TACL 2016
Donor retention in online crowdfunding communities: A case study of DonorsChoose.org
Althoff, Tim and Leskovec, Jure
WWW 2015
How to Ask for a Favor: A Case Study on the Success of Altruistic Requests.
Althoff, Tim and Danescu-Niculescu-Mizil, Cristian and Jurafsky, Dan
ICWSM 2014