0000000000866570
AUTHOR
Jesse Haapoja
The Datafication of Hate: Expectations and Challenges in Automated Hate Speech Monitoring.
Laaksonen, S-M.; Haapoja, J.; Kinnunen, T., Nelimarkka, M. & Pöyhtäri, R. (2020, accepted). . Frontiers in Big Data: Data Mining and Management / Critical Data and Algorithm Studies. doi:10.3389/fdata.2020.00003 Hate speech has been identified as a pressing problem in society and several automated approaches have been designed to detect and prevent it. This paper reports and reflects upon an action research setting consisting of multi-organizational collaboration conducted during Finnish municipal elections in 2017, wherein a technical infrastructure was designed to automatically monitor candidates' social media updates for hate speech. The setting allowed us to engage in a 2-fold investiga…
Personalisation in Journalism: Ethical insights and blindspots in Finnish legacy media
The algorithmic personalisation and recommendation of media content has resulted in considerable discussion on related ethical, epistemic and societal concerns. While technologies of personalisation are widely employed by social media platforms, they are currently also being instituted in journalistic media. The objective of this study is to explore how concerns about algorithms are articulated and addressed when technologies of personalisation meet with long-standing journalistic values, norms and publicist missions. It first distinguishes five normative concerns related to personalisation: autonomy, opacity, privacy, selective exposure and discrimination. It then traces the ways that the…