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Trustbus dataset for cookiescanner # Foreword Due to the large size of the scans and the long upload duration, we only uploaded a serialized sample of 100 of the scans. If the paper is accepted, we will upload all of the sampled scans and the databases with all scans, if space is available. # Folder Structure - 00_source_code: The source code of cookiescanner - 01_bert_classifier: The final BERT model as well as the datasets and Jupyter notebook to train/evaluate it. Additionally, the folder also contains a small flask application and a Docker file to deploy it as a web service. - 02_raw_dataset: 100 serialized sampled scans. The results.json contains the raw scan data, while the rest of the subfolders contain the screenshots of the detection methods. - 03_banner_detection: Contains the analysis CSV file, as well as a folder with the banner screenshots. - 04_dark_patterns: Analysis Files
| 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 |
| views | 66 | |
| downloads | 94 |

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