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User reviews reflect significant value of product in the world of e-market. Many firms or product providers hire spammers for misleading new customers by posting spam reviews. There are three types of fake reviews, untruthful reviews, brand…

Information Retrieval · Computer Science 2020-03-03 Jay Kumar

Our paper contributes to the literature recommending approaches to make online reviews more credible and representative. We analyze data from four diverse major online retailers and find that verified customers who are prompted (by an…

Human-Computer Interaction · Computer Science 2016-04-05 Georgios Askalidis , Edward C. Malthouse

App stores include an increasing amount of user feedback in form of app ratings and reviews. Research and recently also tool vendors have proposed analytics and data mining solutions to leverage this feedback to developers and analysts,…

Information Retrieval · Computer Science 2019-04-30 Daniel Martens , Walid Maalej

We discuss newly uncovered cases of identity theft in the scientific peer-review process within artificial intelligence (AI) research, with broader implications for other academic procedures. We detail how dishonest researchers exploit the…

Digital Libraries · Computer Science 2025-08-07 Nihar B. Shah , Melisa Bok , Xukun Liu , Andrew McCallum

In recent years, financial fraud detection systems have become very efficient at detecting fraud, which is a major threat faced by e-commerce platforms. Such systems often include machine learning-based algorithms aimed at detecting and…

Cryptography and Security · Computer Science 2023-12-05 Chen Doytshman , Satoru Momiyama , Inderjeet Singh , Yuval Elovici , Asaf Shabtai

Our study presents a new tool, Reputation Agent, to promote fairer reviews from requesters (employers or customers) on gig markets. Unfair reviews, created when requesters consider factors outside of a worker's control, are known to plague…

Human-Computer Interaction · Computer Science 2020-05-14 Carlos Toxtli , Angela Richmond-Fuller , Saiph Savage

In today's world, with the rise of numerous social platforms, it has become relatively easy for anyone to spread false information and lure people into traps. Fraudulent schemes and traps are growing rapidly in the investment world. Due to…

Artificial Intelligence · Computer Science 2023-08-23 Prabh Simran Singh Baweja , Orathai Sangpetch , Akkarit Sangpetch

Online review systems are important components in influencing customers' purchase decisions. To manipulate a product's reputation, many stores hire large numbers of people to produce fake reviews to mislead customers. Previous methods…

Social and Information Networks · Computer Science 2021-12-14 Chen Cao , Shihao Li , Shuo Yu , Zhikui Chen

Online marketplaces often witness opinion spam in the form of reviews. People are often hired to target specific brands for promoting or impeding them by writing highly positive or negative reviews. This often is done collectively in…

Social and Information Networks · Computer Science 2020-04-14 Viresh Gupta , Aayush Aggarwal , Tanmoy Chakraborty

Cyber threats have become increasingly prevalent and sophisticated. Prior work has extracted actionable cyber threat intelligence (CTI), such as indicators of compromise, tactics, techniques, and procedures (TTPs), or threat feeds from…

Cryptography and Security · Computer Science 2025-04-29 Saskia Laura Schröer , Noé Canevascini , Irdin Pekaric , Philine Widmer , Pavel Laskov

We introduce Fraud-R1, a benchmark designed to evaluate LLMs' ability to defend against internet fraud and phishing in dynamic, real-world scenarios. Fraud-R1 comprises 8,564 fraud cases sourced from phishing scams, fake job postings,…

Computation and Language · Computer Science 2025-05-27 Shu Yang , Shenzhe Zhu , Zeyu Wu , Keyu Wang , Junchi Yao , Junchao Wu , Lijie Hu , Mengdi Li , Derek F. Wong , Di Wang

We introduce the fraud de-anonymization problem, that goes beyond fraud detection, to unmask the human masterminds responsible for posting search rank fraud in online systems. We collect and study search rank fraud data from Upwork, and…

Social and Information Networks · Computer Science 2018-06-26 Mizanur Rahman , Nestor Hernandez , Bogdan Carbunar , Duen Horng Chau

Longer-running scams, such as romance fraud and "pig-butchering" scams, exploit not only victims' emotions but also the design of digital platforms. Scammers commonly leverage features such as professional-looking profile verification,…

Human-Computer Interaction · Computer Science 2025-10-06 Jingjia Xiao , Qing Xiao , Hong Shen

Bug bounty platforms (e.g., HackerOne, BugCrowd) leverage crowd-sourced vulnerability discovery to improve continuous coverage, reduce the cost of discovery, and serve as an integral complement to internal red teams. With the rise of…

Software Engineering · Computer Science 2025-11-25 Jiangrui Zheng , Yingming Zhou , Ali Abdullah Ahmad , Hanqing Yao , Xueqing Liu

The automatic detection of frauds in banking transactions has been recently studied as a way to help the analysts finding fraudulent operations. Due to the availability of a human feedback, this task has been studied in the framework of…

Machine Learning · Computer Science 2020-04-24 Christelle Marfaing , Alexandre Garcia

Current research mainly explores the attributes and impact of online counterspeech, leaving a gap in understanding of who engages in online counterspeech or what motivates or deters users from participating. To investigate this, we surveyed…

Human-Computer Interaction · Computer Science 2024-03-27 Kaike Ping , Anisha Kumar , Xiaohan Ding , Eugenia Rho

We consider schemes for obtaining truthful reports on a common but hidden signal from large groups of rational, self-interested agents. One example are online feedback mechanisms, where users provide observations about the quality of a…

Computer Science and Game Theory · Computer Science 2014-01-16 Radu Jurca , Boi Faltings

In many settings, an effective way of evaluating objects of interest is to collect evaluations from dispersed individuals and to aggregate these evaluations together. Some examples are categorizing online content and evaluating student…

Computer Science and Game Theory · Computer Science 2016-06-23 Alice Gao , James R. Wright , Kevin Leyton-Brown

User feedback is one of the most effective methods to build and maintain trust in electronic commerce platforms. Unfortunately, dishonest sellers often bend over backward to manipulate users' feedback or place phony bids in order to…

Social and Information Networks · Computer Science 2022-04-22 Michael Fire , Rami Puzis , Dima Kagan , Yuval Elovici

Information systems experience an ever-growing volume of unstructured data, particularly in the form of textual materials. This represents a rich source of information from which one can create value for people, organizations and…

Artificial Intelligence · Computer Science 2017-04-19 Nicolas Pröllochs , Stefan Feuerriegel , Dirk Neumann