Influence of augmented humans in online interactions during voting events
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Abstract (arXiv)
The advent of the digital era provided a fertile ground for the development of virtual societies, complex systems influencing real-world dynamics. Understanding online human behavior and its relevance beyond the digital boundaries is still an open challenge. Here we show that online social interactions during a massive voting event can be used to build an accurate map of real-world political parties and electoral ranks. We provide evidence that information flow and collective attention are often driven by a special class of highly influential users, that we name "augmented humans", who exploit thousands of automated agents, also known as bots, for enhancing their online influence. We show that augmented humans generate deep information cascades, to the same extent of news media and other broadcasters, while they uniformly infiltrate across the full range of identified groups. Digital augmentation represents the cyber-physical counterpart of the human desire to acquire power within social systems.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Mar 2018.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 1; 2025: 1.
5 papers.
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- 2021Empowering NGOs in Countering Online Hate Messagescited by 13
- 2023Demystifying Misconceptions in Social Bots Researchcited by 7
- 2021Survey of Generative Methods for Social Media Analysiscited by 1
- 2025Efficient quantification on large-scale networkscited by 1
- 2025Efficient quantification on large-scale networks19 Mar 2025
- 2024Y Social: an LLM-powered Social Media Digital Twin1 Aug 2024
- 2023Demystifying Misconceptions in Social Bots Research30 Mar 2023
- 2021Survey of Generative Methods for Social Media Analysis13 Dec 2021
- 2021Empowering NGOs in Countering Online Hate Messages6 Jul 2021