
Public release of datasets for Twin of an Online Social Network (TWON) project. To provide scientifically grounded evidence on the impact of online social networks (OSNs) on democratic debate, the project develops simulations of OSNs through digital replicas known as TWONs. Determining appropriate parameters for the underlying mathematical models—such as the weights used in large language models—requires robust empirical data. For this purpose, we have collected data from four key sources: online news monitoring (DS1), social media monitoring (DS2), individual data donations (DS3), and debate simulations (DS4). DS1: online news linked from DS2 DS2: social media (Twitter) data for USA user network data and German Replies Data DS3: individual data donations for German case study on communicating scientific uncertainty and Serbian case study on disinformation in Ukraine war DS4: simulated data for German political discourse on Twitter TWON (project number 101095095) is a research project, fully funded by the European Union, under the Horizon Europe framework (HORIZON-CL2-2022-DEMOCRACY-01, topic 07).
Twitter Data
Twitter Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
