Detecting Twitter Bots That Share SoundCloud Tracks

Axel Bruns, Brenda Moon, Felix Victor Münch, Patrik Wikström, Stefan Stieglitz, Florian Brachten, Bjorn Ross

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Sharing platforms for creative content are often closely connected to general purpose social media platforms like Twitter. This also means that coordinated and automated mechanisms for promoting such content are likely to span both sites: spammers and bots operate across both platforms. This work-in-progress paper presents first results from an effort to develop activity metrics that enable the detection of Twitter bots promoting SoundCloud content.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Social Media and Society
Place of PublicationNew York, NY, USA
PublisherACM Association for Computing Machinery
Number of pages5
ISBN (Print)9781450363341
Publication statusPublished - 18 Jul 2018
Event9th Annual International Conference on Social Media and Society - Copenhagen, Denmark
Duration: 18 Jul 201820 Jul 2018

Publication series

NameSMSociety ’18
PublisherAssociation for Computing Machinery


Conference9th Annual International Conference on Social Media and Society
Abbreviated titleSMSociety 2018
Internet address


  • bot detection
  • SoundCloud
  • automated activity
  • Twitter

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