- E-mailNicholas.Diakopoulos@uib.no
- Visitor AddressFosswinckels gate 6Lauritz Meltzers hus5007 Bergen
- Postal AddressPostboks 78025020 Bergen
Academic article
- (2021). Responsible media technology and AI: challenges and research directions. AI and Ethics.
- (2020). Anticipating and Addressing the Ethical Implications of Deepfakes in the Context of Elections. New Media & Society.
- (2017). How to report on algorithms even if you're not a data whiz . Columbia Journalism Review.
- (2016). How to hold alogrithms accountable . Technology review (1998).
- (2016). Buzzfeed`s pro tennis investigation displays ethical dilemmas of data journalism . Columbia Journalism Review.
Lecture
- (2019). Automating the News.
- (2018). Slik styrer algoritmene (EN).
- (2018). Neural Networks and Automated Content Synthesis.
Popular scientific lecture
- (2021). What Should Technical Experts do about Deepfakes?
- (2019). Doing Journalism in a Synthetic Media Reality.
- (2019). Deepfakes, Shallowfakes: What Should We Fear and What to Do?
- (2019). Automating the News: How Algorithms are Rewriting the Media.
Academic lecture
- (2020). Confronting the Ethical Implications of Synthetic Media.
- (2020). Anticipating and addressing the ethical implications of deepfakes in the context of elections.
- (2019). Transparency and the Ethics of AI.
- (2019). Investigating Algorithms.
- (2019). Investigating Algorithms.
- (2019). Deepfakes in the Media.
- (2019). Automating the News.
- (2019). Automating the News.
- (2019). Automating the News.
- (2019). Automating the News.
- (2018). Hot topics – Watching in the media (paneldebatt).
- (2018). Automated content synthesis using neural networks.
- (2017). Using baselines for algorithm audits.
- (2017). KEYNOTE: The Power of Algorithms - Algorithmic Accountability Reporting.
- (2017). Explainability in Context – Media.
- (2017). Collaborating with Algorithms.
- (2017). Algorithmic Accountability in Search Engines: Case Studies from the 2016 US Elections.
- (2017). Algorithmic Accountability and Transparency: A View from Computational Journalism.
- (2016). The Algorithmic Newsboys: Google and Facebook in the 2016 US Elections.
Academic anthology/Conference proceedings
- (2018). Data-Driven Storytelling. CRC Press.
Non-fiction book
- (2019). Automating the News: How Algorithms are Rewriting the Media. Harvard University Press (HUP).
Popular scientific article
- (2019). How could deepfakes impact the 2020 US elections? Nieman Reports.
- (2016). How Google shapes the news you see about the candidates . Slate.
Academic chapter/article/Conference paper
- (2018). Ethics in Data-Driven Visual Storytelling . 16 pages.
- (2018). Disclose, Decode and Demystify: An Empirical Guide to Algorithmic Transparency.
- (2018). Communicating data to an audience .
- (2018). Communicating Data to an Audience. 21 pages.
- (2018). I vote for - how search informs our choice of candidate.
More information in national current research information system (CRIStin)