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Envisioning the Applications and Implications of Generative AI for News Media

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arxiv 2402.18835 v1 pith:3ALLG42B submitted 2024-02-29 cs.CY

classification cs.CY
keywords generativenewstasksimplicationsmediamodelsreporterssupport
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This article considers the increasing use of algorithmic decision-support systems and synthetic media in the newsroom, and explores how generative models can help reporters and editors across a range of tasks from the conception of a news story to its distribution. Specifically, we draw from a taxonomy of tasks associated with news production, and discuss where generative models could appropriately support reporters, the journalistic and ethical values that must be preserved within these interactions, and the resulting implications for design contributions in this area in the future. Our essay is relevant to practitioners and researchers as they consider using generative AI systems to support different tasks and workflows.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 15 citations worldwide. Full citation record

  1. More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production

    cs.HC 2026-01 conditional novelty 6.0 of 10

    Disclosure visualization format systematically shifts readers' perceptions of human vs AI contribution: role-based timelines amplify perceived AI role in mostly human articles, while task-based timelines make mostly A...

  2. Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems

    cs.CR 2025-07 conditional novelty 3.0 of 10

    A systematic review of deepfake detection finds a pervasive lack of adversarial robustness evaluation across all modalities and calls for resilient, modality-agnostic detectors.

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