All Outputs (6)

The tensions of deepfakes (2023)
Journal Article
Jacobsen, B. N., & Simpson, J. (2023). The tensions of deepfakes. Information, Communication and Society, https://doi.org/10.1080/1369118x.2023.2234980

In recent years, deepfakes have become part and parcel of contemporary algorithmic culture. It is regularly claimed that they have the potential to introduce novel modes of societal disruption, violence, and harm. Yet, over-emphasising the power of d... Read More about The tensions of deepfakes.

Machine learning, meaning making: On reading computer science texts (2023)
Journal Article
Amoore, L., Campolo, A., Jacobsen, B., & Rella, L. (2023). Machine learning, meaning making: On reading computer science texts. Big Data and Society, 10(1), https://doi.org/10.1177/20539517231166887

Computer science tends to foreclose the reading of its texts by social science and humanities scholars – via code and scale, mathematics, black box opacities, secret or proprietary models. Yet, when computer science papers are read in order to better... Read More about Machine learning, meaning making: On reading computer science texts.

Machine learning and the politics of synthetic data (2023)
Journal Article
Jacobsen, B. N. (2023). Machine learning and the politics of synthetic data. Big Data and Society, 10(1), https://doi.org/10.1177/20539517221145372

Machine-learning algorithms have become deeply embedded in contemporary society. As such, ample attention has been paid to the contents, biases, and underlying assumptions of the training datasets that many algorithmic models are trained on. Yet, wha... Read More about Machine learning and the politics of synthetic data.

‘You Can’t Delete a Memory’: Managing the Data Past on Social Media in Everyday Life (2022)
Journal Article
Jacobsen, B. N. (2022). ‘You Can’t Delete a Memory’: Managing the Data Past on Social Media in Everyday Life. Sociological Research Online, 27(4), 1003 - 1019. https://doi.org/10.1177/13607804221110237

This article explores how the data past on social media, in the form of packaged ‘memories’, is managed by people in everyday life. Drawing on interview and focus group data, I examine how people make sense of data as ‘memories’ and how these are neg... Read More about ‘You Can’t Delete a Memory’: Managing the Data Past on Social Media in Everyday Life.

When is the right time to remember?: Social media memories, temporality and the kairologic (2022)
Journal Article
Jacobsen, B. N. (2022). When is the right time to remember?: Social media memories, temporality and the kairologic. New Media and Society, https://doi.org/10.1177/14614448221096768

This article asks what impact temporality and timing have on the ways in which memories are felt and made to matter on social media. Drawing on Taina Bucher’s theorisation of the ‘kairologic’ of algorithmic media, I explore how digital memories are r... Read More about When is the right time to remember?: Social media memories, temporality and the kairologic.

Regimes of recognition on algorithmic media (2021)
Journal Article
Jacobsen, B. N. (2023). Regimes of recognition on algorithmic media. New Media and Society, 25(12), 3641–3656. https://doi.org/10.1177/14614448211053555

This article examines ways in which people are seen, recognised, and made to matter by social media platforms. Drawing on Louise Amoore’s notion of ‘regimes of recognition’, I argue that social media platforms can be conceptualised as increasingly po... Read More about Regimes of recognition on algorithmic media.