Shubham Atreja

Orcid: 0000-0002-0056-3060

According to our database1, Shubham Atreja authored at least 14 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?
Proc. ACM Hum. Comput. Interact., 2023

"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media.
CoRR, 2023

AppealMod: Shifting Effort from Moderators to Users Making Appeals.
CoRR, 2023

Understanding Journalists' Workflows in News Curation.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Social Debunking of Misinformation on WhatsApp: The Case for Strong and In-group Ties.
Proc. ACM Hum. Comput. Interact., 2022

What is the Will of the People? Moderation Preferences for Misinformation.
CoRR, 2022

2020
Extracting Procedural Knowledge from Technical Documents.
CoRR, 2020

2019
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues.
Proceedings of the World Wide Web Conference, 2019

Automatic Generation of Leveled Visual Assessments for Young Learners.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Citicafe: An Interactive Interface for Citizen Engagement.
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Citicafe: conversation-based intelligent platform for citizen engagement.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017
"Learning Relevance" as a Service for Improving Search Results in Technical Discussion Forums.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Continuous Learning as a Service for Conversational Virtual Agents.
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

2016
Anomaly Detection Using Program Control Flow Graph Mining From Execution Logs.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016


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