A scientific team led by Thomas Niederkrotenthaler and Hannah Metzler from Complexity Science Hub Vienna and MedUni Vienna analysed approximately seven million postings on the topic of suicide and suicide prevention on Twitter. In the process, it was shown that content on the prevention and management of suicidal crises increased the number of contacts with mental health services. Thus, the researchers were able to provide a quantifiable verification for the potential of social media in the prevention of suicide with their studies published in the Australian & New Zealand Journal of Psychiatry and the Journal of Medical Internet Research for the first time.
For the exact analysis of the 7,150,610 million tweets posted on the topics of suicide and suicide prevention during the two-year observation period, the researchers used so-called deep learning models. In contrast to the tools used in earlier studies, not only the occurrence of individual words, but also the context in which these terms are used can be analysed with the assistance of this method. "Since words can have different meanings in certain contexts, we achieve much more precise results with the Deep Learning model," says Hannah Metzler of the Complexity Science Hub Vienna and the Institute for Complex Systems Science MedUni Vienna, explaining the special feature of the method developed specifically for the research.
More evidence for the "Papageno Effect"
The scientists, led by Thomas Niederkrotenthaler from the Department of Social and Preventive Medicine of the Center for Public Health at the MedUni Vienna, thus provided further measurable evidence of the phenomenon known in science as the "Papageno effect", namely that content with information on suicide prevention, might reduce the number of suicides: "Tweets about one's own coping with a suicidal crisis in particular have enormous potential to encourage people in a similar situation to get in touch with a mental health services," says Niederkrotenthaler, citing a key detail of the research.
In addition, the study shows once again that the number of suicides also increases in times of excessive media presence of the topic of suicide on Twitter ("Werther effect"): "Especially when a great amount of Tweets irrespective of Tweet content is posted on social media, there is a danger that vulnerable people slip deeper into the crisis as a result and this might lead to an increase in suicides," Thomas Niederkrotenthaler continues to call for a responsible approach to the topic.
Despite their enormous influence, particularly on the management of suicidal crises, there has been little research with meaningful data from social media on this subject. "Our work is the first large-scale study to suggest that the daily volume of specific suicide prevention-related tweets is associated with a higher daily level of help-seeking behaviour and a lower daily number of suicide deaths," Niederkrotenthaler summarises the study results.
PUBLICATIONS
Australian & New Zealand Journal of Psychiatry
Association of 7 million+ tweets featuring suicide-related content with daily calls to the Suicide Prevention Lifeline and with suicides, United States, 2016–2018
Niederkrotenthaler, T., Tran, U. S., Baginski, H., Sinyor, M., Strauss, M. J., Sumner, S. A., Voracek, M., Till, B., Murphy, S., Gonzalez, F., Gould, M., Garcia, D., Draper, J., & Metzler, H.
Doi: 10.1177/00048674221126649
https://journals.sagepub.com/doi/10.1177/00048674221126649
Journal of Medical Internet Research
Detecting Potentially Harmful and Protective Suicide-related Content on Twitter: Machine Learning Approach
Metzler, H., Baginski, H., Niederkrotenthaler, T., & Garcia, D
Doi: 10.2196/34705
https://www.jmir.org/2022/8/e34705
Australian & New Zealand Journal of Psychiatry
Association of 7 million+ tweets featuring suicide-related content with daily calls to the Suicide Prevention Lifeline and with suicides, United States, 2016–2018
Niederkrotenthaler, T., Tran, U. S., Baginski, H., Sinyor, M., Strauss, M. J., Sumner, S. A., Voracek, M., Till, B., Murphy, S., Gonzalez, F., Gould, M., Garcia, D., Draper, J., & Metzler, H.
Doi: 10.1177/00048674221126649
https://journals.sagepub.com/doi/10.1177/00048674221126649
Journal of Medical Internet Research
Detecting Potentially Harmful and Protective Suicide-related Content on Twitter: Machine Learning Approach
Metzler, H., Baginski, H., Niederkrotenthaler, T., & Garcia, D
Doi: 10.2196/34705
https://www.jmir.org/2022/8/e34705
Please direct enquiries to:
Anja Böck, MSc
Complexity Science Hub Vienna
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Phone: +43 1 59991 601
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Email: boeck@csh.ac.at
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Mag. Johannes Angerer
Medizinische Universität Wien
Head of Communications and Public Relations
Phone: +43 1 40 160-11501
Email: pr@meduniwien.ac.at
Spitalgasse 23, 1090 Vienna
www.meduniwien.ac.at/pr
Anja Böck, MSc
Complexity Science Hub Vienna
Public Relations Officer
Phone: +43 1 59991 601
Mobil: +43 664 23 23 802
Email: boeck@csh.ac.at
Josefstädter Str. 39, 1080 Vienna
www.csh.ac.at
Mag. Johannes Angerer
Medizinische Universität Wien
Head of Communications and Public Relations
Phone: +43 1 40 160-11501
Email: pr@meduniwien.ac.at
Spitalgasse 23, 1090 Vienna
www.meduniwien.ac.at/pr
Complexity Science Hub Vienna - short profile
The mission of the Complexity Science Hub Vienna is to host, educate, and inspire complex systems scientists dedicated to making sense of Big Data to boost science and society. Scientists at the Hub develop methods for the scientific, quantitative, and predictive understanding of complex systems.
Medical University of Vienna - short profile
The Medical University of Vienna (in short: MedUni Vienna) is one of the most traditional medical education and research facilities in Europe. With around 8,000 students, it is currently the largest medical training centre in the German-speaking world. With 6,000 employees, 30 departments and two clinical institutes, 13 medical theory centres and numerous highly specialised laboratories, it is one of Europe's leading research establishments in the biomedical sector. MedUni Vienna also has a medical history museum, the Josephinum.
The mission of the Complexity Science Hub Vienna is to host, educate, and inspire complex systems scientists dedicated to making sense of Big Data to boost science and society. Scientists at the Hub develop methods for the scientific, quantitative, and predictive understanding of complex systems.
Medical University of Vienna - short profile
The Medical University of Vienna (in short: MedUni Vienna) is one of the most traditional medical education and research facilities in Europe. With around 8,000 students, it is currently the largest medical training centre in the German-speaking world. With 6,000 employees, 30 departments and two clinical institutes, 13 medical theory centres and numerous highly specialised laboratories, it is one of Europe's leading research establishments in the biomedical sector. MedUni Vienna also has a medical history museum, the Josephinum.
