mlsanityData to 7 Oct 2026

CASS: Towards Building a Social-Support Chatbot for Online Health Community

arXiv 2101.01583 ↗First posted 4 Jan 2021cs.HC cs.LGcited by 8

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Abstract (arXiv)

Chatbots systems, despite their popularity in today's HCI and CSCW research, fall short for one of the two reasons: 1) many of the systems use a rule-based dialog flow, thus they can only respond to a limited number of pre-defined inputs with pre-scripted responses; or 2) they are designed with a focus on single-user scenarios, thus it is unclear how these systems may affect other users or the community. In this paper, we develop a generalizable chatbot architecture (CASS) to provide social support for community members in an online health community. The CASS architecture is based on advanced neural network algorithms, thus it can handle new inputs from users and generate a variety of responses to them. CASS is also generalizable as it can be easily migrate to other online communities. With a follow-up field experiment, CASS is proven useful in supporting individual members who seek emotional support. Our work also contributes to fill the research gap on how a chatbot may influence the whole community's engagement.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 15 of its 135 references that are in the map. First posted on arXiv 4 Jan 2021.

Builds on

15 of 135 references.

References · 15

  1. 2014Convolutional Neural Networks for Sentence Classificationcited by 1,124
  2. 2015Effective Approaches to Attention-based Neural Machine Translationcited by 1,024
  3. 2016Deep Reinforcement Learning for Dialogue Generationcited by 286
  4. 2018The Design and Implementation of XiaoIce, an Empathetic Social Chatbotcited by 172
  5. 2019Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AIcited by 79
  6. 2018OpenNMT: Neural Machine Translation Toolkitcited by 27
  7. 2017Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loopcited by 26
  8. 2018Understanding Chatbot-mediated Task Managementcited by 12
  9. 2018Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Mediacited by 12
  10. 2020Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agendacited by 12
  11. 2015Botivist: Calling Volunteers to Action Using Online Botscited by 7
  12. 2016Dissecting a Social Botnet: Growth, Content and Influence in Twittercited by 7
3 more
  1. 2019Not at Home on the Range: Peer Production and the Urban/Rural Dividecited by 6
  2. 2017DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networkscited by 4
  3. 2018The Lives of Botscited by 1

Built on by

Cited by year

Citing papers per year: 2021: 2; 2022: 1; 2023: 4; 2024: 1.

8 papers.