Envisioning the Applications and Implications of Generative AI for News Media (2402.18835v1)
Abstract: 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.
- Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–18. https://doi.org/10.1145/3173574.3174156
- HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, Glasgow Scotland Uk, 1–8. https://doi.org/10.1145/3290607.3299007
- J Alammar. 2021. Ecco: An Open Source Library for the Explainability of Transformer Language Models. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations. Association for Computational Linguistics, Online, 249–257. https://doi.org/10.18653/v1/2021.acl-demo.30 5 citations (Crossref) [2023-02-15].
- Sigurd Allern. 2002. Journalistic and Commercial News Values: News Organizations as Patrons of an Institution and Market Actors. Nordicom Review 23, 1-2 (Sept. 2002), 137–152. https://doi.org/10.1515/nor-2017-0327
- Aviv Barnoy and Zvi Reich. 2019. The When, Why, How and So-What of Verifications. Journalism Studies 20, 16 (Dec. 2019), 2312–2330. https://doi.org/10.1080/1461670X.2019.1593881
- Michael Barthel. 2021. 6 key takeaways about the state of the news media in 2020. https://www.pewresearch.org/fact-tank/2021/07/27/6-key-takeaways-about-the-state-of-the-news-media-in-2020/
- Artificial Intelligence and Journalism. Journalism & Mass Communication Quarterly 96, 3 (Sept. 2019), 673–695. https://doi.org/10.1177/1077699019859901
- Language models are few-shot learners. In Proceedings of the 34th International Conference on Neural Information Processing Systems (NIPS’20). Curran Associates Inc., Red Hook, NY, USA, 1877–1901.
- Alexandra Bruell. 2023. Sports Illustrated Publisher Taps AI to Generate Articles, Story Ideas. Wall Street Journal (Feb. 2023). https://www.wsj.com/articles/sports-illustrated-publisher-taps-ai-to-generate-articles-story-ideas-11675428443
- Taina Bucher. 2017. ‘Machines don’t have instincts’: Articulating the computational in journalism. New Media & Society 19, 6 (June 2017), 918–933. https://doi.org/10.1177/1461444815624182
- Extracting Training Data from Large Language Models. http://arxiv.org/abs/2012.07805
- Mapping the Design Space of Human-AI Interaction in Text Summarization. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Seattle, United States, 431–455. https://doi.org/10.18653/v1/2022.naacl-main.33
- Jon Christian. 2023a. CNET’s Article-Writing AI Is Already Publishing Very Dumb Errors. Futurism (Jan. 2023). https://futurism.com/cnet-ai-errors
- Jon Christian. 2023b. Magazine Publishes Serious Errors in First AI-Generated Health Article. Futurism (Feb. 2023). https://futurism.com/neoscope/magazine-mens-journal-errors-ai-health-article
- Gina Chua. 2023. How chatbots can change journalism. Or not. | Semafor. (Feb. 2023). https://www.semafor.com/article/02/17/2023/how-chatbots-can-change-journalism-or-not Section: media.
- CNET Staff. 2022. CNET Money. https://www.cnet.com/profiles/cnet%20money/
- Invisible Friend or Foe? How Journalists Use and Perceive Algorithmic-Driven Tools in Their Research Process. Digital Journalism 0, 0 (Feb. 2022), 1–19. https://doi.org/10.1080/21670811.2022.2027798
- Mark Deuze. 2005. What is journalism?: Professional identity and ideology of journalists reconsidered. Journalism 6, 4 (Nov. 2005), 442–464. https://doi.org/10.1177/1464884905056815
- Mark Deuze and Charlie Beckett. 2022. Imagination, Algorithms and News: Developing AI Literacy for Journalism. Digital Journalism (Sept. 2022), 1–6. https://doi.org/10.1080/21670811.2022.2119152
- Nicholas Diakopoulos. 2019. Automating the news: how algorithms are rewriting the media. Harvard University Press, Cambridge, Massachusetts.
- Generating Location-Based News Leads for National Politics Reporting.
- Towards Understanding and Supporting Journalistic Practices Using Semi-Automated News Discovery Tools. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (Oct. 2021), 1–30. https://doi.org/10.1145/3479550
- Els Diekerhof and Piet Bakker. 2012. To check or not to check: An exploratory study on source checking by Dutch journalists. Journal of Applied Journalism & Media Studies 1, 2 (Oct. 2012), 241–253. https://doi.org/10.1386/ajms.1.2.241_1
- Wolfgang Donsbach. 2012. Journalists’ Role Perception. In The International Encyclopedia of Communication. John Wiley & Sons, Ltd. https://doi.org/10.1002/9781405186407.wbiecj010.pub2
- Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision. In Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022). Association for Computational Linguistics, Dublin, Ireland, 96–108. https://doi.org/10.18653/v1/2022.in2writing-1.14
- Lance Eliot. 2023. Generative AI ChatGPT Can Disturbingly Gobble Up Your Private And Confidential Data, Forewarns AI Ethics And AI Law. Forbes (Jan. 2023). https://www.forbes.com/sites/lanceeliot/2023/01/27/generative-ai-chatgpt-can-disturbingly-gobble-up-your-private-and-confidential-data-forewarns-ai-ethics-and-ai-law/
- Declan Fahy and Matthew Nisbet. 2011. The science journalist online: Shifting roles and emerging practices. Journalism 12, 7 (Oct. 2011), 778–793. https://doi.org/10.1177/1464884911412697
- Using computational tools to support journalists’ creativity. Journalism (April 2021). https://doi.org/10.1177/14648849211010582
- Mathematical Capabilities of ChatGPT. http://arxiv.org/abs/2301.13867
- A Question of Design: Strategies for Embedding AI-Driven Tools into Journalistic Work Routines. Digital Journalism (March 2022), 1–20. https://doi.org/10.1080/21670811.2022.2043759
- Thomas Hanitzsch. 2007. Deconstructing Journalism Culture: Toward a Universal Theory. Communication Theory 17, 4 (Nov. 2007), 367–385. https://doi.org/10.1111/j.1468-2885.2007.00303.x
- Tony Harcup and Deirdre O’Neill. 2017. What is News?: News values revisited (again). Journalism Studies 18, 12 (Dec. 2017). https://doi.org/10.1080/1461670X.2016.1150193
- Exploring reporter-desired features for an AI-Generated legislative news tip sheet. In ISOJ Journal (Special Issue Theme: AI and the News, Vol. 12). 17. https://isoj.org/wp-content/uploads/2022/03/ISOJ-2022.pdf#page=17
- Survey of Hallucination in Natural Language Generation. Comput. Surveys (Nov. 2022). https://doi.org/10.1145/3571730
- Nicole Kobie. 2018. Reuters is taking a big gamble on AI-supported journalism. Wired UK (March 2018). https://www.wired.co.uk/article/reuters-artificial-intelligence-journalism-newsroom-ai-lynx-insight
- AI should embody our values: Investigating journalistic values to inform AI technology design. In Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society. ACM, Tallinn Estonia, 1–13. https://doi.org/10.1145/3419249.3420105
- Frank Landymore. 2023. CNET Is Quietly Publishing Entire Articles Generated By AI. Futurism (Jan. 2023). https://futurism.com/the-byte/cnet-publishing-articles-by-ai
- Marilyn Lester. 1980. Generating Newsworthiness: The Interpretive Construction of Public Events. American Sociological Review 45, 6 (Dec. 1980), 984. https://doi.org/10.2307/2094914
- Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). Association for Computational Linguistics, New Orleans, Louisiana, 55–60. https://doi.org/10.18653/v1/N18-2009
- Opal: Multimodal Image Generation for News Illustration. http://arxiv.org/abs/2204.09007 arXiv:2204.09007 [cs].
- Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data. arXiv:1711.04068 [cs] (Nov. 2017). http://arxiv.org/abs/1711.04068
- Duri Long and Brian Magerko. 2020. What is AI Literacy? Competencies and Design Considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, Honolulu HI USA, 1–16. https://doi.org/10.1145/3313831.3376727
- Ingrid Lunden. 2023. BuzzFeed launches Infinity Quizzes, creating personalized stories powered by OpenAI. https://techcrunch.com/2023/02/14/buzzfeed-launches-infinity-quizzes-creating-personalized-stories-powered-by-openai/
- Finding the news lead in the data haystack: Automated local data journalism using crime data.
- Katerina Eva Matsa and Kirsten Worden. 2022. Local Newspapers Fact Sheet. https://www.pewresearch.org/journalism/fact-sheet/local-newspapers/
- John H. McManus. 1994. Market-driven journalism: let the citizen beware? Sage Publications, Thousand Oaks, Calif.
- Milad Moradi and Matthias Samwald. 2021. Evaluating the Robustness of Neural Language Models to Input Perturbations. http://arxiv.org/abs/2108.12237
- Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. http://arxiv.org/abs/2210.14306
- Auditing large language models: a three-layered approach. http://arxiv.org/abs/2302.08500
- SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. Proceedings of the AAAI Conference on Artificial Intelligence 31, 1 (Feb. 2017). https://doi.org/10.1609/aaai.v31i1.10958
- Nic Newman. 2023. Journalism, Media, and Technology Trends and Predictions 2023. Technical Report. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/journalism-media-and-technology-trends-and-predictions-2023
- Sachita Nishal and Nicholas Diakopoulos. 2022. From Crowd Ratings to Predictive Models of Newsworthiness to Support Science Journalism. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (Nov. 2022), 441:1–441:28. https://doi.org/10.1145/3555542
- OpenAI Staff. 2023. ChatGPT General FAQ. https://help.openai.com/en/articles/6783457-chatgpt-general-faq
- Training language models to follow instructions with human feedback. https://doi.org/10.48550/arXiv.2203.02155
- A Deep Reinforced Model for Abstractive Summarization. https://openreview.net/forum?id=HkAClQgA-
- AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Article 225 (2023). https://doi.org/10.1145/3544548.3580907
- Combating Adversarial Misspellings with Robust Word Recognition. https://doi.org/10.48550/arXiv.1905.11268
- Robust Speech Recognition via Large-Scale Weak Supervision. https://doi.org/10.48550/arXiv.2212.04356
- Zvi Reich. 2006. The Process Model of News Initiative: Sources lead first, reporters thereafter. Journalism Studies 7, 4 (Aug. 2006), 497–514. https://doi.org/10.1080/14616700600757928
- Machel Reid and Graham Neubig. 2022. Learning to Model Editing Processes. http://arxiv.org/abs/2205.12374
- Aimee Rinehart and Ernest Kung. 2022. Artificial Intelligence in Local News: A survey of US newsrooms’ AI readiness. (2022). https://doi.org/10.13140/RG.2.2.16926.82246
- Mia Sato. 2023. CNET pushed reporters to be more favorable to advertisers, staffers say. The Verge (Feb. 2023). https://www.theverge.com/2023/2/2/23582046/cnet-red-ventures-ai-seo-advertisers-changed-reviews-editorial-independence-affiliate-marketing
- Aljosha Karim Schapals and Colin Porlezza. 2020. Assistance or Resistance? Evaluating the Intersection of Automated Journalism and Journalistic Role Conceptions. Media and Communication 8, 3 (July 2020), 16–26. https://doi.org/10.17645/mac.v8i3.3054
- PEER: A Collaborative Language Model. http://arxiv.org/abs/2208.11663
- Felix M. Simon. 2022. Uneasy Bedfellows: AI in the News, Platform Companies and the Issue of Journalistic Autonomy. Digital Journalism (May 2022), 1–23. https://doi.org/10.1080/21670811.2022.2063150
- Anthony Van Witsen and Bruno Takahashi. 2021. How Science Journalists Verify Numbers and Statistics in News Stories: Towards a Theory. Journalism Practice (July 2021), 1–20. https://doi.org/10.1080/17512786.2021.1947152
- Yixue Wang and Nicholas Diakopoulos. 2021. Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). Association for Computing Machinery, New York, NY, USA, 1–18. https://doi.org/10.1145/3411764.3445266
- Productivity assessment of neural code completion. In Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming. ACM, San Diego CA USA, 21–29. https://doi.org/10.1145/3520312.3534864
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