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This dataset was collected and annotated during the project TRACES, which has indirectly received funding from the European Union's Horizon 2020 research and innovation action programme, via the AI4Media Open Call #1 issued and executed under the AI4Media project (Grant Agreement no. 951911).
This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The tweets have been collected via Twitter API under academic access between 1 Jan 2020 - 28 June 2022 and thus cannot be used for commercial purposes.
deception, manipulation, social media, Twitter, Covid-19, Bulgarian
Twitter Data
deception, manipulation, social media, Twitter, Covid-19, Bulgarian
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 |
| views | 46 | |
| downloads | 14 |

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