‘The Tireless Selling-Machine’ – Commercial Deployment of Social Bots during Black Friday Season on Twitter

Felix Brünker, Julian Marx, Björn Ross, Milad Mirbabaie, Stefan Stieglitz

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

Abstract / Description of output

In recent years, mainstream E-commerce platforms have changed the way consumer goods are merchandized online. While such platforms increasingly discover social elements to drive sales, social media start implementing E-commerce features themselves. This emerging intersection also provides space for bot activity in a Social Commerce (SC) context, which is sparsely understood. In this short paper, we investigate the deployment of social bots during a large-scale commercial event. To this end, we applied bot detection techniques to the Twitter communication during the 2018 Black Friday season. Using three distinct metrics, we identified 42 bot-like accounts. A manual classification of 11,889 tweets found those bots to be primarily deployed in pre-transactional phases of SC to promote third party products and to initiate external transactions. Our results further suggest adapting detection metrics to event-specific user behavior. Further research aims at the dynamics, impact, and network positions of SC bots.
Original languageEnglish
Title of host publicationWI2020 Zentrale Tracks
Subtitle of host publicationProceedings der 15. Internationalen Tagung Wirtschaftsinformatik 2020
Pages1522-1527
Number of pages6
ISBN (Electronic)9783955453350
DOIs
Publication statusPublished - 10 Mar 2020
Event15th International Conference on Wirtschaftsinformatik - Potsdam, Germany
Duration: 8 Mar 202011 Mar 2020

Conference

Conference15th International Conference on Wirtschaftsinformatik
Abbreviated titleWI2020
Country/TerritoryGermany
CityPotsdam
Period8/03/2011/03/20

Keywords / Materials (for Non-textual outputs)

  • Social Bots
  • Social Commerce
  • Social Media
  • E-Commerce

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