
doi: 10.5281/zenodo.5985935 , 10.5281/zenodo.4572530 , 10.5281/zenodo.6528564 , 10.5281/zenodo.7397762 , 10.5281/zenodo.3383622 , 10.5281/zenodo.3600023 , 10.5281/zenodo.2783955 , 10.5281/zenodo.5051941 , 10.5281/zenodo.4412213 , 10.5281/zenodo.4011608 , 10.5281/zenodo.3783478 , 10.5281/zenodo.3265642 , 10.5281/zenodo.3559456 , 10.5281/zenodo.4659707 , 10.5281/zenodo.3236750 , 10.5281/zenodo.3877979 , 10.5281/zenodo.3524870 , 10.5281/zenodo.6988564 , 10.5281/zenodo.4064833 , 10.5281/zenodo.4922674 , 10.5281/zenodo.7298737 , 10.5281/zenodo.3969850 , 10.5281/zenodo.3736276 , 10.5281/zenodo.5542940 , 10.5281/zenodo.5162743 , 10.5281/zenodo.4192836 , 10.5281/zenodo.5830590 , 10.5281/zenodo.3359456 , 10.5281/zenodo.6624514 , 10.5281/zenodo.5760295 , 10.5281/zenodo.5351474 , 10.5281/zenodo.7040086 , 10.5281/zenodo.3633935 , 10.5281/zenodo.5646993 , 10.5281/zenodo.7181062 , 10.5281/zenodo.6344869 , 10.5281/zenodo.3466640 , 10.5281/zenodo.6421331 , 10.5281/zenodo.4487086 , 10.5281/zenodo.6805480 , 10.5281/zenodo.3925315 , 10.5281/zenodo.4739896 , 10.5281/zenodo.3693277 , 10.5281/zenodo.4385806
doi: 10.5281/zenodo.5985935 , 10.5281/zenodo.4572530 , 10.5281/zenodo.6528564 , 10.5281/zenodo.7397762 , 10.5281/zenodo.3383622 , 10.5281/zenodo.3600023 , 10.5281/zenodo.2783955 , 10.5281/zenodo.5051941 , 10.5281/zenodo.4412213 , 10.5281/zenodo.4011608 , 10.5281/zenodo.3783478 , 10.5281/zenodo.3265642 , 10.5281/zenodo.3559456 , 10.5281/zenodo.4659707 , 10.5281/zenodo.3236750 , 10.5281/zenodo.3877979 , 10.5281/zenodo.3524870 , 10.5281/zenodo.6988564 , 10.5281/zenodo.4064833 , 10.5281/zenodo.4922674 , 10.5281/zenodo.7298737 , 10.5281/zenodo.3969850 , 10.5281/zenodo.3736276 , 10.5281/zenodo.5542940 , 10.5281/zenodo.5162743 , 10.5281/zenodo.4192836 , 10.5281/zenodo.5830590 , 10.5281/zenodo.3359456 , 10.5281/zenodo.6624514 , 10.5281/zenodo.5760295 , 10.5281/zenodo.5351474 , 10.5281/zenodo.7040086 , 10.5281/zenodo.3633935 , 10.5281/zenodo.5646993 , 10.5281/zenodo.7181062 , 10.5281/zenodo.6344869 , 10.5281/zenodo.3466640 , 10.5281/zenodo.6421331 , 10.5281/zenodo.4487086 , 10.5281/zenodo.6805480 , 10.5281/zenodo.3925315 , 10.5281/zenodo.4739896 , 10.5281/zenodo.3693277 , 10.5281/zenodo.4385806
This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: 'a', 'e', 'i', 'o', 'u', and 'n' language: 'de' This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character 'n'). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<YEAR>-<MONTH>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
contains Corona Pandemic
Twitter, dataset, German
Twitter Data
Twitter, dataset, German
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). | 1 | |
| 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 |
