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This is the dataset released with the paper titled: "I Can’t Keep It Up." A Dataset from the Defunct Voat.co News Aggregator. The dataset consists of 15,133 Newline delimited JSON files (ndjson). More specifically, 7,616 files for submission data, 7,515 for comment data, 1 for user data, and 1 for subverse data. Each line in the ndjson files consists of a JSON object. The JSON objects contain all the key/values we collect through the Voat API and the custom parser of the Internet Archive Wayback Machine Voat snapshot release. For the detailed description of every key in the JSON structure, along with the type of the value, please read the readme.pdf file provided with this dataset. If you find our dataset useful, please cite our paper: @inproceedings{mekacher2022can, title={"I Can't Keep It Up." A Dataset from the Defunct Voat.co News Aggregator}, author={Mekacher, Amin and Papasavva, Antonis}, booktitle={16th International Conference on Web and Social Media}, year={2022} }
| 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 | 149 | |
| downloads | 139 |

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