This dataset contains a dump of the #nowplaying dataset which contains so-called listening events of users who publish the music they are currently listening to on Twitter. In particular, this dataset includes tracks which have been tweeted using the hashtags #nowplaying, #listento or #listeningto. In this dataset, we provide the track and artist of a listening event and metadata on the tweet (date sent, user, source). Furthermore, we provide a mapping of tracks to its respective Musicbrainz identifiers. The dataset features a total of 126 mio listening events. This archive contains the nowplaying.csv file, the main file which contains the following fields: user id (each user is identified by a unique hash value) source of the tweet (how it was sent; as provided by the Twitter API) timestamp of the time the tweet underlying the listening event was sent track title artist name musicbrainz identifier of the recording (cf. https://musicbrainz.org/) In case you make use of our dataset in a scientific setting, we kindly ask you to cite the following paper: Eva Zangerle, Martin Pichl, Wolfgang Gassler, and Günther Specht. 2014. #nowplaying Music Dataset: Extracting Listening Behavior from Twitter. In Proceedings of the First International Workshop on Internet-Scale Multimedia Management (WISMM '14). ACM, New York, NY, USA, 21-26. If you have any questions or suggestions regarding the dataset, please do not hesitate to contact Eva Zangerle (eva.zangerle@uibk.ac.at).

{"references": ["Eva Zangerle, Martin Pichl, Wolfgang Gassler, and G\u00fcnther Specht. 2014. #nowplaying Music Dataset: Extracting Listening Behavior from Twitter. In Proceedings of the First International Workshop on Internet-Scale Multimedia Management (WISMM '14). ACM, New York, NY, USA, 21-26."]}