Users in social networks utilize hashtags for a variety of reasons. In many cases hashtags serve retrieval purposes by labeling the content they accompany. More often than not, hashtags are used to promote content, ideas or conversations producing viral memes. This paper addresses a specific case of hashtag classification: meme-filtering. We argue that hashtags that are correlated with memes may hinder many valuable social media algorithms like trend detection and event identification. We

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... e and evaluate a set of language-agnostic features that aid the separation of these two classes: meme-hashtags and eventhashtags. The proposed approach is evaluated on two large datasets of Twitter messages written in English and German. A proof-of-concept application of the meme-filtering approach to the problem of event detection is presented.