Stefanie Siren-Heikel


Description of research and teaching

Stefanie Sirén-Heikel is a full-time PhD-candidate in media and communication studies at the Faculty of Social Sciences at the University of Helsinki, Finland. Her research focus is on the impact of algorithm-based decision-making on newsroom management and innovation in journalism. Currently, she is working with the cross-disciplinary research project Immersive Automation, studying automation of news production and news ecosystems. Sirén-Heikel has a background in broadcast and print journalism, as a reporter and producer. 


Latest publications

  1. Finding and Expressing News from Structured Data

    Leppänen, L., Munezero, M., Sirén-Heikel, S., Granroth-Wilding, M. & Toivonen, H., 20 Sep 2017, AcademicMindtrek '17: Proceedings of the 21st International Academic Mindtrek Conference. New York: ACM, p. 174-183 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  2. The Fragility of Photo-truth: Verification of amateur images in Finnish newsrooms

    Pantti, M. K. & Siren-Heikel, S. J., 2017, Photojournalism and Citizen Journalism: Co-operation, Collaboration and Connectivity. Allan, S. (ed.). Abingdon: Routledge, p. 178-195 18 p. 11. (Journalism Studies: Theory and Practice).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  3. The Fragility of the Photo-Truth: Verification of Amateur Images in Finnish Newsrooms

    Pantti, M. & Siren-Heikel, S., 2015, In : Digital Journalism. 3, 4, 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

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