172 citations · 287 across the 14 of their papers we have counts for
6 papers · 1 filter
A Mixed-Method Landscape Analysis of SME-focused B2B Platforms in Germany
Tina Krell, Fabian Braesemann, Fabian Stephany +2
Digital platforms offer vast potential for increased value creation and innovation, especially through cross-organizational data sharing. It appears that SMEs in Germany are curren…
Wikipedia: A Challenger's Best Friend? Utilising Information-seeking Behaviour Patterns to Predict US Congressional Elections
Hamza Salem, Fabian Stephany
Election prediction has long been an evergreen in political science literature. Traditionally, such efforts included polling aggregates, economic indicators, partisan affiliation,…
How the Far-Right Polarises Twitter: 'Highjacking' Hashtags in Times of COVID-19
Philipp Darius, Fabian Stephany
Twitter influences political debates. Phenomena like fake news and hate speech show that political discourse on micro-blogging can become strongly polarised by algorithmic enforcem…
How to Hijack Twitter: Online Polarisation Strategies of Germany's Political Far-Right
Philipp Darius, Fabian Stephany
With a network approach, we examine the case of the German far-right party Alternative für Deutschland (AfD) and their potential use of a "hashjacking" strategy. Our findings sugge…
Social media self-branding and success: Quantitative evidence from a model competition
Fabian Braesemann, Fabian Stephany
Thanks to the availability of large online data sets, it has become possible to quantify success in different fields of human endeavour. The study presented here contributes to thi…
The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time
Fabian Stephany, Niklas Stoehr, Philipp Darius +3
While the coronavirus spreads, governments are attempting to reduce contagion rates at the expense of negative economic effects. Market expectations plummeted, foreshadowing the ri…