H.A.J. van der Kaa
Papers
1
Total Citations
89
H-Index
1
About
H.A.J. van der Kaa is a pioneering researcher in the emerging field of automated journalism and audience studies, with a particular focus on the perceived credibility of machine-written news. Their most influential work, the 2014 paper "Journalist versus news consumer: The perceived credibility of machine written news" (89 citations), systematically examines how audiences evaluate the credibility of robot-generated articles compared to those written by human journalists. This foundational study, which has become a touchstone in computational journalism research, reveals nuanced differences and surprising similarities in how news consumers and journalists perceive algorithmic content. By bridging the gap between technology and trust, van der Kaa has opened critical conversations about the future of news production in an age of automation. Their work not only illuminates the psychological and social dimensions of human-machine communication but also provides essential insights for media organizations navigating the integration of AI into newsrooms. As one of the early scholars to empirically investigate audience responses to automated journalism, van der Kaa’s contributions continue to shape debates on journalistic authority, transparency, and the evolving relationship between technology and public trust in media.
Research Focus
Key Achievements
Top Papers
- 1