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Internet Memes have emerged as a dominant new form of mass media and communication and they often consist of images that combine text with image and aim to express humor, irony, sarcasm, or sometimes convey hatred and misinformation. By recognizing them, we can characterize the trend of today's culture and avoid issues related to the spread of hateful and harmful content. Memes can take various forms which can be split into several categories. Existing datasets typically do not recognize these categories and do not provide a set of images with significant size and diversity, so we created one that sufficiently satisfies those requirements. The collection is gathered from Reddit and is semi-automatically labelled. More precisely the dataset contains ~27k Internet image memes categorized as "Image Macro", "Object Labeling", "Screenshots" and "Text out of Image".
memes, meme classification, meme formats, meme categories
memes, meme classification, meme formats, meme categories
| 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 | 19 | |
| downloads | 11 |

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