Millions of online posts about different topics and products are shared on popular social
media platforms. One use of this content is to provide crowd-sourced information about a …

Social media bots can change society's perspective in different aspects of life. This paper
analyzes sentiment features and their effect on the accuracy of machine learning models for …

The prevalence of misinformation and disinformation poses a significant challenge in today's
digital landscape. That is why several methods and tools are proposed to analyze and …

Online social media platforms are turning into the prime source of news and narratives about
worldwide events. However, a systematic summarization-based narrative extraction that can …

I develop a rather simple agent-based model to capture a co-evolution of opinion formation,
political decision making and economic outcomes. I use this model to study how societies …

Artificial intelligence is shaping the future of humanity across almost every industry and will
continue to do so for the foreseeable future. In this chapter, the history of human attempts to …

The internet has made it easy for narratives to spread quickly and widely without regard for
accuracy or the harm they may cause to society. Unfortunately, this has led to the rise of bad …

The Masters degree of'Engineering and Policy Analysis' provided me with a lot of tools for
thinking through grand challenges in complex socio-technical systems. Furthermore, it gave …

Low-resource and label-efficient machine learning methods can be described as the family
of statistical and machine learning techniques that can achieve high performance without …

I study the impact of opposition politics aimed at downplaying the threat of Covid-19.
Exploiting a policy U-turn of a major Austrian right-wing party (FPÖ), I first show that beliefs …