Hannah Metzler has been a PostDoc at the Complexity Science Hub since March 2020. After a master in psychology at University of Vienna, she did her PhD in social and affective neuroscience at Sorbonne University and Ecole Normale Supérieure Paris.
Hannah’s main research interest lies in the role of emotions and social processes in communication. She began by investigating effects of emotions and social power in non-verbal social interactions. In her current research, she applies methods like text analysis and machine learning to capture emotions at the collective level, and investigate their effects on misinformation spreading on social media. Hannah further explores potential contributions of traditional and social media content to suicide prevention.
Hannah is part of the Open Science and the Effective Altruism community and strives to increase the transparency, reproducibility, and social impact of her research.
She is also a PostDoc at the Public Health Centre of the Medical University of Vienna.
Web: Personal Site
N. Pontika, T. Klebel, A. Correia, H. Metzler, P. Knoth, T. Ross-Hellauer
Indicators of research quality, quantity, openness and responsibility in institutional review, promotion and tenure policies across seven countries
Quantitative Science Studies 3(4) (2022) 888-911
T. Niederkrotenthaler, U. S. Tran, et al.
Association of 7 million+ tweets featuring suicide-related content with daily calls to the Suicide Prevention Lifeline and with suicides, United States, 2016–2018
Australian & New Zealand Journal of Psychiatry 0(0) (2022)
H. Metzler, et al.
Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach
J Med Internet Res 24(8) (2022) e34705
H. Metzler, B. Rimé, M. Pellert, T. Niederkrotenthaler, A. Di Natale, D. Garcia
Collective emotions during the COVID-19 outbreak
M. Pellert, H. Metzler, M. Matzenberger, D. Garcia
Validating daily social media macroscopes of emotions
Scientific Reports 12 (2022) 11236
M. Pellert, J. Lasser, H. Metzler, D. Garcia
Dashboard of Sentiment in Austrian Social Media During COVID-19
Frontiers in Big Data 3:32 (2020)
Hannah Metzler: “Detecting potentially harmful and protective suicide-related content on Twitter: A Machine Learning approach”
Jul 20, 2022 | 12:00—13:00
Hannah Metzler: “Collective emotions on social media: Validity and applications to the COVID-19 pandemic”
Apr 28, 2022 | 18:00—19:00
Hannah Metzler: “Digital Humanism – How to Put Humans at the Center of Emerging Tech”
Apr 20, 2022 | 10:00—11:00
Hannah Metzler: “Collective emotions on social media: validity and applications to the COVID-19 pandemic”
Dec 11, 2021 | 9:30—10:00
Hannah Metzler: “A Machine Learning approach to media effects research on suicide…”
Sep 24, 2021 | 11:00—12:30