Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and Perspectives
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866929286371344384 |
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| author | Hoque, Md Naimul Mahfuz, Ayman Kindi, Mayukha Hassan, Naeemul |
| author_facet | Hoque, Md Naimul Mahfuz, Ayman Kindi, Mayukha Hassan, Naeemul |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_10650 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and Perspectives Hoque, Md Naimul Mahfuz, Ayman Kindi, Mayukha Hassan, Naeemul Human-Computer Interaction 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. |
| title | Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and Perspectives |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2312.10650 |