Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and Perspectives

Md Naimul Hoque; Ayman A Mahfuz; Mayukha Sridhatri Kindi; Naeemul Hassan

doi:10.1145/3613904.3642007

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Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and Perspectives

Conference proceeding

Open access

Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and Perspectives

Md Naimul Hoque, Ayman A Mahfuz, Mayukha Sridhatri Kindi and Naeemul Hassan

Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, pp.1-17

ACM Conferences

CHI '24: CHI Conference on Human Factors in Computing Systems

05/11/2024

DOI: 10.1145/3613904.3642007

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Abstract

Large Language Models (LLMs) have created opportunities for designing chatbots that can support complex question-answering (QA) scenarios and improve news audience engagement. However, we still lack an understanding of what roles journalists and readers deem fit for such a chatbot in newsrooms. To address this gap, we first interviewed six journalists to understand how they answer questions from readers currently and how they want to use a QA chatbot for this purpose. To understand how readers want to interact with a QA chatbot, we then conducted an online experiment (N=124) where we asked each participant to read three news articles and ask questions to either the author(s) of the articles or a chatbot. By combining results from the studies, we present alignments and discrepancies between how journalists and readers want to use QA chatbots and propose a framework for designing effective QA chatbots in newsrooms.

Human-centered computing -- Human computer interaction (HCI) -- Empirical studies in HCI

Details

Title: Subtitle: Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and Perspectives
Creators: Md Naimul Hoque - University of Maryland, College Park
Ayman A Mahfuz - The University of Texas at Austin
Mayukha Sridhatri Kindi - University of Maryland, College Park
Naeemul Hassan - Merrill (United States)
Contributors: Florian Floyd Mueller (Editor) - Monash University
Penny Kyburz (Editor) - Australian National University
Julie R. Williamson (Editor) - University of Glasgow
Corina Sas (Editor) - Lancaster University
Max L. Wilson (Editor) - University of Nottingham
Phoebe Toups Dugas (Editor) - Monash University
Irina Shklovski (Editor) - University of Copenhagen
Resource Type: Conference proceeding
Publication Details: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, pp.1-17
Conference: CHI '24: CHI Conference on Human Factors in Computing Systems
Series: ACM Conferences
DOI: 10.1145/3613904.3642007
Publisher: ACM; NEW YORK
Number of pages: 17
Language: English
Date published: 05/11/2024
Academic Unit: Computer Science
Record Identifier: 9984787456802771

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