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This dataset is a comprehensive dataset that includes Turkish tweet ids one month before and after of pandemic outbreak. You can see the tweets classified across COVID, economy, politics, religion, disinformation, international relations themes. To see research design and analyze the code for the text analysis please visit this link: https://github.com/burakozturan/css_covid19
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 |
| views | 15 | |
| downloads | 1 |

Views provided by UsageCounts
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