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Detecting Twitter bots that share SoundCloud tracks

Authors :
Mai, P
Gruzd, A
Jacobson, J
Bruns, Axel
Moon, Brenda
Muench, Felix Victor
Wikstrom, Patrik
Stieglitz, Stefan
Brachten, Florian
Ross, Bjoern
Mai, P
Gruzd, A
Jacobson, J
Bruns, Axel
Moon, Brenda
Muench, Felix Victor
Wikstrom, Patrik
Stieglitz, Stefan
Brachten, Florian
Ross, Bjoern
Source :
Proceedings of the 9th International Conference on Social Media and Society
Publication Year :
2018

Abstract

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.

Details

Database :
OAIster
Journal :
Proceedings of the 9th International Conference on Social Media and Society
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1146608362
Document Type :
Electronic Resource