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Annoyed by tap-to-pay? Try shaking your credit card.
Try shaking your credit card. Researchers pinpointed nine gestures that may make the technology actually touchless. Breakthroughs, discoveries, and DIY tips sent every weekday. One of the major selling points of supposedly "touchless" payment methods like Apple Pay and modern bank cards has been the promise of less physical contact with potentially germ-covered surfaces. That's sometimes true, but often the initial "tap" for a latte is followed by a prompt to select a tip amount on a shared screen.
- North America > United States > New York (0.05)
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ScamSpot: Fighting Financial Fraud in Instagram Comments
Erben, Stefan, Waldis, Andreas
The long-standing problem of spam and fraudulent messages in the comment sections of Instagram pages in the financial sector claims new victims every day. Instagram's current spam filter proves inadequate, and existing research approaches are primarily confined to theoretical concepts. Practical implementations with evaluated results are missing. To solve this problem, we propose ScamSpot, a comprehensive system that includes a browser extension, a fine-tuned BERT model and a REST API. This approach ensures public accessibility of our results for Instagram users using the Chrome browser. Furthermore, we conduct a data annotation study, shedding light on the reasons and causes of the problem and evaluate the system through user feedback and comparison with existing models. ScamSpot is an open-source project and is publicly available at https://scamspot.github.io/.
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- Europe > Germany > Hesse > Darmstadt Region > Darmstadt (0.04)
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- Information Technology > Services (1.00)
- Information Technology > Security & Privacy (1.00)
- Information Technology > Communications > Social Media (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.71)
- Information Technology > Artificial Intelligence > Machine Learning > Performance Analysis > Accuracy (0.69)