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How cybercriminal communities grow and change: An investigation of ad-fraud communities
- Source :
- Technological Forecasting and Social Change, Technological Forecasting and Social Change, Elsevier, 2022, 174, ⟨10.1016/j.techfore.2021.121282⟩
- Publication Year :
- 2022
- Publisher :
- HAL CCSD, 2022.
-
Abstract
- Firms spend enormous resources on digital advertising and promoting their brand online. In the meantime, ad-fraud undertaken by cybercriminals cost $42 billion in 2019 and could reach $100 billion by 2023. However, while digital advertisers continue to wrestle with how to effectively counteract ad-fraud, the topic of advertising fraud itself has received little academic attention. Here, we investigate this gap between practice and research through an exploration of ad-fraud communities. Our research implemented a multimethod approach for data collection in a longitudinal (18 months, October 2017 to April 2019) online investigation of this phenomenon. Integrating qualitative and quantitative analysis, we examined (1) internal interactions within ad-fraud communities and (2) ad-fraud communities’ performance and growth. Our online investigation extends our conceptual understanding of ad-fraud and explains how ad-fraud communities innovate. Our findings indicate that capabilities enacted by some communities foster requisite variety and enable the coordination of complex, iterative, and incremental dynamics (cocreation of artificial intelligence-based bots, customer involvement, and reinforcing capabilities). This research has both theoretical and practical implications for innovation in cybercriminal communities. Furthermore, we provide practical guidance for policy-makers and advertisers regarding how to improve their response to business threats. Indeed, a better understanding of how ad-fraud communities innovate enables organizations to develop countermeasures and intelligence capabilities.
- Subjects :
- Data collection
Knowledge management
business.industry
010102 general mathematics
05 social sciences
01 natural sciences
[SHS]Humanities and Social Sciences
Quantitative analysis (finance)
Management of Technology and Innovation
0502 economics and business
Business
0101 mathematics
Business and International Management
Practical implications
050203 business & management
Applied Psychology
Digital advertising
Subjects
Details
- Language :
- English
- ISSN :
- 00401625
- Database :
- OpenAIRE
- Journal :
- Technological Forecasting and Social Change, Technological Forecasting and Social Change, Elsevier, 2022, 174, ⟨10.1016/j.techfore.2021.121282⟩
- Accession number :
- edsair.doi.dedup.....2cac2808241698bd62ee4e312629a6d6
- Full Text :
- https://doi.org/10.1016/j.techfore.2021.121282⟩