2.5.3.3. Tipping points to detect anomie

Social tipping points resulting from Earth system destabilisation are under-researched. Consequently, no specific early warning signal tracking mechanisms have been established. But as suggested above, new datasets and methodological developments could prove to be useful for sensing the states of various social subsystems, ideally to prevent negative social tipping being triggered. For instance, early warning signals for anomie induced by Earth system destabilisation could be developed by tracking what people post and share online. Deep learning approaches have been developed to detect mental illness from user content on social media (Uban et al., 2021; Kim et al., 2020). Monitoring user content over time for signals of mental illness could allow detection of changes (e.g. acceleration, jumps) and/or monitoring the spread of content linked to mental illness across social networks for (complex) contagion processes (Wiedermann et al., 2020). This could provide information that a likely tipping point is approaching. Similar approaches could be used to detect deviant behaviours (Coletto et al., 2016). Combining these various measures and others such as distrust (Sampson et al., 2016) could produce a tool to monitor the dynamic anomie state of a society exposed to Earth system destabilisation. 

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