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This dataset is obsolete because the Twitter pHashes were incompatible with all the other pHashes in the dataset due to a version mismatch of the ImageHash Python library. Please download the updated dataset here: https://zenodo.org/record/3699670 This dataset was collected with research funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No 691025. The publication on which this dataset was used is: "On the Origins of Memes by Means of Fringe Web Communities". Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. ACM Internet Measurement Conference (IMC), 2018., DOI: https://doi.org/10.5281/zenodo.1323551 The dataset consists of all the URLs and phashes for images from Twitter, Reddit, 4chan's /pol/, and Gab posted between July 2016 and end of July 2017. The code related to this research can be found here: https://github.com/memespaper/memes_pipeline, or here: https://doi.org/ 10.5281/zenodo.1463050 Presentation available here: https://doi.org/10.5281/zenodo.1477082
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 | 48 | |
| downloads | 6 |

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