Chasing spammers: Using the Internet protocol address for detection
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/02/20
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Journal
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Indian UGC (journal)
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Refrences123
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Citations1
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Laura Sáez‐Ortuño Business Department Universitat de Barcelona Barcelona Spain ORCID (unauthenticated)
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Santiago Forgas‐Coll Business Department Universitat de Barcelona Barcelona Spain ORCID (unauthenticated)
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Ruben Huertas‐Garcia Business Department Universitat de Barcelona Barcelona Spain ORCID (unauthenticated)
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Eloi Puertas‐Prats Maths and Computer Science Department Universitat de Barcelona Barcelona Spain ORCID (unauthenticated)
Abstract
Cite
Sáez‐Ortuño, Laura, et al. “Chasing Spammers: Using the Internet Protocol Address for Detection”. Psychology &Amp; Marketing, 2024, https://doi.org/10.1002/mar.21985.
Sáez‐Ortuño, L., Forgas‐Coll, S., Huertas‐Garcia, R., & Puertas‐Prats, E. (2024). Chasing spammers: Using the Internet protocol address for detection. Psychology &Amp; Marketing. https://doi.org/10.1002/mar.21985
Sáez‐Ortuño, Laura, Santiago Forgas‐Coll, Ruben Huertas‐Garcia, and Eloi Puertas‐Prats. “Chasing Spammers: Using the Internet Protocol Address for Detection”. Psychology &Amp; Marketing, 2024. https://doi.org/10.1002/mar.21985.
Sáez‐Ortuño L, Forgas‐Coll S, Huertas‐Garcia R, Puertas‐Prats E. Chasing spammers: Using the Internet protocol address for detection. Psychology & Marketing. 2024;.
Journal Categories
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Neurology
Diseases of the nervous system
Psychiatry
Philosophy
Psychology
Religion
Psychology
Social Sciences
Commerce
Business
Social Sciences
Commerce
Business
Business communication
Including business report writing, business correspondence
Social Sciences
Commerce
Business
Marketing
Distribution of products
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Data analytics for the identification of fake reviews using supervised learning | 2022 | |||
Unlocking digital archives: cross-disciplinary perspectives on AI and born-digital data | AI & SOCIETY |
| 6 | 2022 |
Unveiling the infidelity problem in exclusive manufacturer–distributor relationships: A dyadic perspective | Psychology & Marketing |
| 1 | 2021 |
| Spicing up hospitality service encounters: The case of Pepper™ | 2021 | |||
| Deep learning for misinformation detection on online social networks: a survey and new perspectives | Social Network Analysis and Mining |
| 77 | 2020 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Determinants of multimodal fake review generation in China’s E-commerce platforms | Scientific Reports |
| 2024 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Medicine | 1 |
| Science | 1 |
| Science: Science (General) | 1 |
The category
Medicine 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Determinants of multimodal fake review generation in China’s E-commerce platforms and was published in 2024. The most recent citation comes from a 2024 study titled Determinants of multimodal fake review generation in China’s E-commerce platforms. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the Scientific Reports cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.