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Large Language Models (LLMs) have created opportunities for designingchatbots that can support complex question-answering (QA) scenarios and improvenews audience engagement. However, we still lack an understanding of what rolesjournalists and readers deem fit for such a chatbot in newsrooms. To addressthis gap, we first interviewed six journalists to understand how they answerquestions from readers currently and how they want to use a QA chatbot for thispurpose. To understand how readers want to interact with a QA chatbot, we thenconducted an online experiment (N=124) where we asked each participant to readthree news articles and ask questions to either the author(s) of the articlesor a chatbot. By combining results from the studies, we present alignments anddiscrepancies between how journalists and readers want to use QA chatbots andpropose a framework for designing effective QA chatbots in newsrooms.

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