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Accountability in Algorithmic Decision-making: A view from computational journalism

Author:

Nicholas DiakopoulosAuthors Info & Claims

Queue, Volume 13, Issue 9

Pages 126 - 149

https://doi.org/10.1145/2857274.2886105

Published: 28 November 2015 Publication History

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Abstract

Every fiscal quarter automated writing algorithms churn out thousands of corporate earnings articles for the AP (Associated Press) based on little more than structured data. Companies such as Automated Insights, which produces the articles for AP, and Narrative Science can now write straight news articles in almost any domain that has clean and well-structured data: finance, sure, but also sports, weather, and education, among others. The articles aren’t cardboard either; they have variability, tone, and style, and in some cases readers even have difficulty distinguishing the machine-produced articles from human-written ones.

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Cited By

Barrio C(2023)Imágenes, traperas e Instagram. Reflexiones netnográficas a fuego lentoTeknokultura. Revista de Cultura Digital y Movimientos Sociales10.5209/tekn.83534Avance en línea(1-12)Online publication date: 9-Mar-2023
https://doi.org/10.5209/tekn.83534
Wieringa M(2023)“Hey SyRI, tell me about algorithmic accountability”: Lessons from a landmark caseData & Policy10.1017/dap.2022.395Online publication date: 10-Jan-2023
https://doi.org/10.1017/dap.2022.39
Manning LBrewer SCraigon PFrey JGutierrez AJacobs NKanza SMunday SSacks JPearson S(2022)Artificial intelligence and ethics within the food sector: Developing a common language for technology adoption across the supply chainTrends in Food Science & Technology10.1016/j.tifs.2022.04.025125(33-42)Online publication date: Jul-2022
https://doi.org/10.1016/j.tifs.2022.04.025
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Published In

cover image Queue

Queue Volume 13, Issue 9

Structured Data

November-December 2015

156 pages

ISSN:1542-7730

EISSN:1542-7749

DOI:10.1145/2857274

Issue’s Table of Contents

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2015

Published in QUEUE Volume 13, Issue 9

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Cited By

Barrio C(2023)Imágenes, traperas e Instagram. Reflexiones netnográficas a fuego lentoTeknokultura. Revista de Cultura Digital y Movimientos Sociales10.5209/tekn.83534Avance en línea(1-12)Online publication date: 9-Mar-2023
https://doi.org/10.5209/tekn.83534
Wieringa M(2023)“Hey SyRI, tell me about algorithmic accountability”: Lessons from a landmark caseData & Policy10.1017/dap.2022.395Online publication date: 10-Jan-2023
https://doi.org/10.1017/dap.2022.39
Manning LBrewer SCraigon PFrey JGutierrez AJacobs NKanza SMunday SSacks JPearson S(2022)Artificial intelligence and ethics within the food sector: Developing a common language for technology adoption across the supply chainTrends in Food Science & Technology10.1016/j.tifs.2022.04.025125(33-42)Online publication date: Jul-2022
https://doi.org/10.1016/j.tifs.2022.04.025
Yauri-Miranda J(2021)Surveillance and the redefinition of individuals and realityTeknokultura. Revista de Cultura Digital y Movimientos Sociales10.5209/tekn.7472319:1(5-12)Online publication date: 10-Dec-2021
https://doi.org/10.5209/tekn.74723
Smets ABallon PWalravens N(2021)Mediated by Code: Unpacking Algorithmic Curation of Urban ExperiencesMedia and Communication10.17645/mac.v9i4.40869:4(250-259)Online publication date: 18-Nov-2021
https://doi.org/10.17645/mac.v9i4.4086
Jonk EIren D(2021)Governance and Communication of Algorithmic Decision Making: A Case Study on Public Sector2021 IEEE 23rd Conference on Business Informatics (CBI)10.1109/CBI52690.2021.00026(151-160)Online publication date: Sep-2021
https://doi.org/10.1109/CBI52690.2021.00026
Ngo TKrämer N(2021)Exploring folk theories of algorithmic news curation for explainable designBehaviour & Information Technology10.1080/0144929X.2021.198752241:15(3346-3359)Online publication date: 9-Oct-2021
https://doi.org/10.1080/0144929X.2021.1987522

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