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Patterns in language: Text analysis of government reports on the Irish industrial school system with word embedding

Autor: Emilie Pine, Susan Leavy, Mark T. Keane

Publikováno v: Digital Scholarship in the Humanities. 34:i110-i122

Industrial Memories is a digital humanities initiative to supplement close readings of a government report with new distant readings, using text analytics techniques. The Ryan Report (2009), the official report of the Commission to Inquire into Child

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::647c22b18975cc3edfdf45d289629925
https://doi.org/10.1093/llc/fqz012

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Ethical data curation for AI: An approach based on feminist epistemology and critical theories of race

Autor: Barry O'Sullivan, Susan Leavy, Eugenia Siapera

Publikováno v: AIES

The potential for bias embedded in data to lead to the perpetuation of social injustice though Artificial Intelligence (AI) necessitates an urgent reform of data curation practices for AI systems, especially those based on machine learning. Without a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7e2494635f064507269ca9a4c402a69
https://hdl.handle.net/10468/12054

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Dataset diversity: measuring and mitigating geographical bias in image search and retrieval

Autor: Susan Leavy, Suzanne Little, Abhishek Mandal

Publikováno v: Mandal, Abhishek, Leavy, Susan and Little, Suzanne ORCID: 0000-0003-3281-3471 (2021) Dataset diversity: measuring and mitigating geographical bias in image search and retrieval. In: 1st International Workshop on Trustworthy AI for Multimedia Computing, 24 Oct 2021, Chengdu, China. ISBN 978-1-4503-8674-6
Trustworthy AI @ ACM Multimedia

Many popular visual datasets used to train deep neural networks for computer vision applications, especially for facial analytics, are created by retrieving images from the internet. Search engines are often used to perform this task. However, due to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6726b1868ef53b9c0b0a9f68540dafe2
http://doras.dcu.ie/26268/

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Modes of Witnessing and Ireland’s Institutional History

Autor: Mark T. Keane, Tom Lane, Emilie Pine, Susan Leavy, Maeve Casserly

Publikováno v: Irish Literature in Transition: 1980–2020

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2196d8318d03ec515053d14fa0a6973
https://doi.org/10.1017/9781108564373.019

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Uncovering gender bias in newspaper coverage of Irish politicians using machine learning

Autor: Susan Leavy

Publikováno v: Digital Scholarship in the Humanities. 34:48-63

This article presents a text-analytic approach to analysing media content for evidence of gender bias. Irish newspaper content is examined using machine learning and natural language processing techniques. Systematic differences in the coverage of ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0570bf328cd8b531b4e8fd47cc56b609
https://doi.org/10.1093/llc/fqy005

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Mitigating Gender Bias in Machine Learning Data Sets

Autor: Derek Greene, Gerardine Meaney, Karen Wade, Susan Leavy

Publikováno v: Communications in Computer and Information Science ISBN: 9783030524845
BIAS

Algorithmic bias has the capacity to amplify and perpetuate societal bias, and presents profound ethical implications for society. Gender bias in algorithms has been identified in the context of employment advertising and recruitment tools, due to th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::24fa878c7bab5fcfb98b8d27aae83de2
https://doi.org/10.1007/978-3-030-52485-2_2

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Re-reading the Ryan Report: Witnessing via and Close and Distant Reading

Autor: Susan Leavy, Mark T. Keane, Emilie Pine

Publikováno v: Éire-Ireland. 52:198-215

In the days following the publication of the Final Report of the Commission to Inquire into Child Abuse (2009), also known as the Ryan Report, there was widespread national and international public reaction to the conclusions of the report that over

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c8cdba1ac5d672668e9945ec74a6163
https://doi.org/10.1353/eir.2017.0009

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Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts

Autor: Karen Wade, Susan Leavy, Gerardine Meaney, Derek Greene

Publikováno v: Metadata and Semantic Research ISBN: 9783030365981
MTSR

The increasing availability of digital collections of historical and contemporary literature presents a wealth of possibilities for new research in the humanities. The scale and diversity of such collections however, presents particular challenges in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5eebe78f8c4a234241a6c80c3106014c
https://doi.org/10.1007/978-3-030-36599-8_31

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