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Gillian Murphy

Gillian Murphy

Verified

Editor, Helensburgh Advertiser

Glasgow

Final Covers

TV Music Society DiversityFilm

Doesn’t Cover

Finances and technology

Journalist Type

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Seniority Positions

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Industries

Medium Formats

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Content

Total articles 567

  • An Average Joe, a Laptop, and a Dream: Assessing the Potency of Homemade Political Deepfakes

    By Gillian Murphy Verified, Didier Ching, John Twomey, Eoghan Meehan| Wiley Online Library Verified 1 Introduction As machine learning-based technologies have increasingly proliferated in recent years, researchers have sought to understand and predict various harms that may come about through the increasing and everyday use of those technologies (Gamage et al. 2022; Lee et al. 2024; Mink et al. 2024). Deepfakes are one such technology, where deep learning methods can fabricate media of a person doing or saying almost anything.

    By Gillian Murphy Verified, Didier Ching, John Twomey, Eoghan Meehan · Wiley Online Library

    Apr. 14, 2025

  • Who Got Lost in the Mall? Challenges in Counting and Classifying False Memories

    By Gillian Murphy Verified, Ciara Greene| Wiley Online Library Verified 1 Introduction What is a memory? Can an outside observer really ascertain whether someone is remembering an event? How can they do so reliably? These are challenging questions that we face as memory researchers, particularly when we try to tease apart true and false memories and beliefs. In this issue, Andrews and Brewin (2024) reanalysed a portion of the data from our recent rich false memory study (Murphy, Dawson, et al. 2023) and developed a novel coding scheme based on counting reported details.

    By Gillian Murphy Verified, Ciara Greene · Wiley Online Library

    Mar. 13, 2025

  • An Average Joe, a Laptop, and a Dream: Assessing the Potency of Homemade Political Deepfakes

    By Gillian Murphy Verified, Didier Ching, John Twomey, Eoghan Meehan| Wiley Online Library Verified 1 Introduction As machine learning-based technologies have increasingly proliferated in recent years, researchers have sought to understand and predict various harms that may come about through the increasing and everyday use of those technologies (Gamage et al. 2022; Lee et al. 2024; Mink et al. 2024). Deepfakes are one such technology, where deep learning methods can fabricate media of a person doing or saying almost anything.

    By Gillian Murphy Verified, Didier Ching, John Twomey, Eoghan Meehan · Wiley Online Library

    Apr. 14, 2025

As seen in

Company Info

Helensburgh Advertiser

Glasgow, United Kingdom