Temporal and biological factors of our vulnerability to disinformation
Analysing the exogenous factors impacting our judgement of and response to information
Collective intelligence and a deliberative democratic system rest on the shoulders of a public free access to unbiased and diverse information. Social media has become a source of news and an important factor in opinion-formation. However, social media is not a neutral terrain but can be a platform for political manipulation.
This project aims to understand the cognitive, socio-affective, and neurobiological factors impacting our judgement of and response to information.This can conclude to behavioural recommendations that empower us to protect ourselves from manipulation and disinformation, and a targeted design of interventions to prevent their spread and the effective allocation of resources to protect those most vulnerable.
Despite all efforts to mitigate mis- and disinformation, they continue to be a substantial problem. This project contributed to the literature base on mis- and disinformation about social media with an analysis of the interaction effects between temporal rhythms of disinformation and social media usage in the context of the COVID-19 pandemic.
Specifically, how mis- and disinformation spread on Twitter varied throughout the day. Furthermore, it turns out that there are individual differences in users' propensity to spread mis- and disinformation on Twitter, which are based on their activity patterns.
We analysed a comprehensive dataset, examining the reliability of information relating the COVID-19 pandemic shared on Twitter. We clustered users into pseudo-chronotypes based on their activity patterns on Twitter throughout the day, identified times of waking and prolonged waking states per cluster as well as times of increased susceptibility.
The project was presented at the 9th International Conference on Computational Social Science (2023) and at the 34th Annual Meeting of the Society for Light Treatment and Biological Rhythms (2023).
An article is currently under review. A preprint can be found here: https://arxiv.org/abs/2307.11575
The code associated to the article can be found on Github: https://github.com/ethz-coss/diurnal-misinformation
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ETH Zurich