AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism

July 17, 2024 Β· Declared Dead Β· πŸ› CSCW Companion

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Authors William Brannon, Doug Beeferman, Hang Jiang, Andrew Heyward, Deb Roy arXiv ID 2407.12613 Category cs.HC: Human-Computer Interaction Cross-listed cs.CL Citations 3 Venue CSCW Companion Last Checked 4 months ago
Abstract
Understanding and making use of audience feedback is important but difficult for journalists, who now face an impractically large volume of audience comments online. We introduce AudienceView, an online tool to help journalists categorize and interpret this feedback by leveraging large language models (LLMs). AudienceView identifies themes and topics, connects them back to specific comments, provides ways to visualize the sentiment and distribution of the comments, and helps users develop ideas for subsequent reporting projects. We consider how such tools can be useful in a journalist's workflow, and emphasize the importance of contextual awareness and human judgment.
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