Article
Sociology
Ruohuang Jiao, Wojtek Przepiorka, Vincent Buskens
Summary: The reputation effect plays a significant role in online market exchanges, but there is still much debate about its impact on selling performance. Research shows that the reputation effect exists across different operationalizations of seller reputation and selling performance, but the extent of this effect varies.
SOCIAL SCIENCE RESEARCH
(2021)
Review
Management
Thomas Feliciani, Michael Morreau, Junwen Luo, Pablo Lucas, Kalpana Shankar
Summary: This study aims to explore how factors relating to grades and grading affect the correctness of choices made by review panels among submitted proposals, and identify interventions in panel design that can increase the correctness of choices. The results of the experiment indicate that increasing the number of grades used by panel members and giving panels a greater capacity for discriminating among proposals can improve the correctness of choices, while differences in grading standards among panel members do not significantly decrease correctness.
Article
Computer Science, Information Systems
Junaid Arshad, Muhammad Ajmal Azad, Alousseynou Prince, Jahid Ali, Thanasis G. Papaioannou
Summary: This paper introduces a blockchain-based reputation system called REPUTABLE, which computes the reputation of service providers and external services within a blockchain ecosystem through decentralized implementation. It ensures privacy, reliability, integrity, and accuracy of reputation values, while allowing certain data or statistical analytics functions on user feedback. The system also preserves the security, privacy, accountability, and unlinkability of participants and their feedback.
Article
Computer Science, Information Systems
Amal Alqahtani, Heba Kurdi, Majed Abdulghani
Summary: P2P platforms require trust management systems to establish trust relationships among peers; existing systems use binary classification, but trustworthiness in reality is vague; this paper developed a novel trust management algorithm based on Hadith science, and demonstrated its superiority through experimental results.
Review
Computer Science, Artificial Intelligence
Tong Wu, Ru Zhang, Xinwang Liu, Fang Liu, Yi Ding
Summary: This study proposes a purchasing decision model for s-commerce based on trust computation and item reviews, aiming to assist inexperienced users in making purchasing decisions by considering trust relationships to experienced users and reliability of their reviews. The model utilizes flexible trust propagation parameters to provide auxiliary information for inexperienced users and offers a new perspective for s-commerce recommendations.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Thomas Neifer, Paul Bossauer, Christina Pakusch, Lukas Boehm, Dennis Lawo
Summary: Peer-to-peer sharing platforms are increasingly important in the platform economy and play a crucial role in mediating between users. Trust-building is crucial in such platforms, and algorithm-based scoring systems have the potential to improve this. To explore this, a design case study was conducted, involving interviews, app co-design, and evaluation with participants. The findings indicate that scoring systems can support trust-building in P2P-carsharing and provide insights on their design.
COMPUTER SUPPORTED COOPERATIVE WORK-THE JOURNAL OF COLLABORATIVE COMPUTING AND WORK PRACTICES
(2023)
Article
Chemistry, Analytical
Alanoud Alhussain, Heba Kurdi, Lina Altoaimy
Summary: P2P networking is becoming popular in IoT platforms for its advantages, but faces security flaws that are being addressed by emerging trust and reputation management systems. Trutect is an intelligent trust management system that uses neural networks to provide recommendations and identify malicious peers.
Review
Computer Science, Theory & Methods
Cornelius Ihle, Dennis Trautwein, Moritz Schubotz, Norman Meuschke, Bela Gipp
Summary: This article systematically reviews incentive mechanisms for decentralized networks and networked systems by analyzing prior literature reviews and primary research papers. The reviewed incentive mechanisms establish fairness, reward participation, and cooperative behavior, contributing to the functionality and security of the network. The article also highlights research gaps and deficiencies, providing recommendations for the application of incentive mechanisms in decentralized networks that share computational resources.
ACM COMPUTING SURVEYS
(2023)
Article
Multidisciplinary Sciences
Ivan Stelmakh, Charvi Rastogi, Nihar Shah, Aarti Singh, I. I. I. Hal Daume
Summary: Peer review is crucial in academia, and it is important to understand and reduce biases in this process. This study investigates the influence of the first argument presented during peer-review discussions and finds no evidence of herding behavior.
Article
Computer Science, Theory & Methods
Omar Hasan, Lionel Brunie, Elisa Bertino
Summary: The purpose of a reputation system is to hold users accountable for their behavior in a distributed application. Users' reputation is computed based on the feedback provided by fellow users. Privacy-preserving reputation systems allow users to provide feedback privately. This survey proposes analysis frameworks for privacy-preserving reputation systems, focusing on blockchain-based systems and their unique properties. The analysis provides insights and directions for further research, including leveraging blockchain for truly trustless systems and addressing common attacks.
ACM COMPUTING SURVEYS
(2023)
Review
Computer Science, Artificial Intelligence
Majed Alkhamees, Saleh Alsaleem, Muhammad Al-Qurishi, Majed Al-Rubaian, Amir Hussain
Summary: The growing popularity of social networks has led to an increase in malicious behavior by anonymous users, prompting a rise in research on user trustworthiness. While existing solutions have shown some success, they are not comprehensive and further strategies need to be developed.
APPLIED SOFT COMPUTING
(2021)
Article
Psychology, Multidisciplinary
Qinggong Li, Zhuocheng Li, Wenyu Zhang, Yang Wang, Gail D. Heyman
Summary: This research found that as children grow older, the trustee's reputation becomes less important in trust evaluations, while the relationship closeness with the trustee becomes more important. Additionally, relationship closeness plays a greater role in interpersonal trust evaluations for girls than for boys.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Computer Science, Information Systems
Enrico Corradini, Serena Nicolazzo, Antonino Nocera, Domenico Ursino, Luca Virgili
Summary: This paper introduces a two-tier Blockchain framework to enhance the security and autonomy of smart objects in the IoT by implementing a trust-based protection mechanism. Smart objects are grouped into communities to reduce complexity, with a local first-tier Blockchain recording probing transactions to evaluate trust and a second-tier Blockchain storing reputation values. The framework's behavior, security model, and tests for correctness and performance are detailed.
COMPUTER COMMUNICATIONS
(2022)
Article
Biology
Uri Hertz, Vaughan Bell, Nichola Raihani
Summary: Social learning is crucial for the success of our species, with individuals more likely to immediately follow advice than to copy observed choices. Results show that there are two distinct patterns in the long-term effects of social information, with some individuals fully relying on it while others revert to trial-and-error learning. Trust in others plays a significant role in the assimilation of intentionally broadcast information.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Christian Esposito, Antonio Galli, Vincenzo Moscato, Giancarlo Sperli
Summary: The influence of fake news and reviews on social networks highlights the need for trustworthiness assessment tools to combat manipulation by malicious users. This research proposes a comprehensive set of criteria and utilizes subjective logic to improve accuracy and precision in estimating user trust, with a focus on addressing uncertainty and vagueness in computed scores. The proposed solution is evaluated against public Yelp data-sets to demonstrate its effectiveness and efficiency compared to existing works.
INFORMATION FUSION
(2022)
Article
Computer Science, Artificial Intelligence
Xavier Limon, Alejandro Guerra-Hernandez, Nicandro Cruz-Ramirez, Francisco Grimaldo
KNOWLEDGE AND INFORMATION SYSTEMS
(2019)
Editorial Material
Multidisciplinary Sciences
Flaminio Squazzoni, Petra Ahrweiler, Tiago Barros, Federico Bianchi, Aliaksandr Birukou, Harry J. J. Blom, Giangiacomo Bravo, Stephen Cowley, Virginia Dignum, Pierpaolo Dondio, Francisco Grimaldo, Lynsey Haire, Jason Hoyt, Phil Hurst, Rachael Lammey, Catriona MacCallum, Ana Marusic, Bahar Mehmani, Hollydawn Murray, Duncan Nicholas, Giorgio Pedrazzi, Iratxe Puebla, Peter Rodgers, Tony Ross-Hellauer, Marco Seeber, Kalpana Shankar, Joris Van Rossum, Michael Willis
Review
Biology
Ivan Buljan, Daniel Garcia-Costa, Francisco Grimaldo, Flaminio Squazzoni, Ana Marusic
Article
Mathematics
Maria T. Sanz, Emilia Lopez-Inesta, Daniel Garcia-Costa, Francisco Grimaldo
Article
Multidisciplinary Sciences
Flaminio Squazzoni, Giangiacomo Bravo, Mike Farjam, Ana Marusic, Bahar Mehmani, Michael Willis, Aliaksandr Birukou, Pierpaolo Dondio, Francisco Grimaldo
Summary: This study analyzed gender bias in 145 journals and found that manuscripts written by women as solo authors or coauthored by women were treated more favorably by referees and editors. The results suggest that peer review and editorial processes do not penalize manuscripts by women, and increasing gender diversity in editorial teams and referee pools could help encourage more women to participate.
Article
Multidisciplinary Sciences
Flaminio Squazzoni, Giangiacomo Bravo, Francisco Grimaldo, Daniel Garcia-Costa, Mike Farjam, Bahar Mehmani
Summary: During the early months of the COVID-19 pandemic, women submitted proportionally fewer scholarly manuscripts than men, especially among younger cohorts of female academics. However, women took on a greater service responsibility for journals in terms of peer-review activities, except in the field of health & medicine where men had a more prominent role due to the impact of COVID-19 research.
Review
Multidisciplinary Sciences
Daniel Garcia-Costa, Flaminio Squazzoni, Bahar Mehmani, Francisco Grimaldo
Summary: This study tested a quality assessment tool on a sample of 1.3 million reports submitted to 740 Elsevier journals. The results showed that the developmental standards of peer review are shared across research areas but with significant differences. Reports submitted to social science and economics journals have the highest developmental standards. Reports from junior reviewers, women, and reviewers from Western Europe are generally more developmental than those from senior, men, and reviewers working in academic institutions outside Western regions.
Article
Computer Science, Interdisciplinary Applications
Federico Bianchi, Daniel Garcia-Costa, Francisco Grimaldo, Flaminio Squazzoni
Summary: Peer review is crucial for the public trust in academic journals, ensuring rigorous research and enhancing the value of manuscripts through feedback. The number of reviewers has a significant impact on manuscript changes and the likelihood of citation post-publication. Further research with larger and more representative journal samples is needed to develop systematic measures that capture the complexity of peer review.
JOURNAL OF INFORMETRICS
(2022)
Review
Computer Science, Interdisciplinary Applications
Andrijana Perkovic Palos, Antonija Mijatovic, Ivan Buljan, Daniel Garcia-Costa, Elena Alvarez-Garcia, Francisco Grimaldo, Ana Marusic
Summary: We compared articles, peer review processes, and editorial processes between Medical and Health Sciences and Social Sciences. Our analysis was based on data from the Open Research Central (ORC) portal, which hosts various journal platforms for post-publication peer review. We found differences in the structure and content of articles, as well as the tone and length of peer review reports, between the two disciplines. However, the characteristics of the peer review process were similar for both types of articles, possibly due to the use of uniform policies and procedures by the publication platform.
Article
Green & Sustainable Science & Technology
Adrian Suarez, Daniel Garcia-Costa, Joaquin Perez, Emilia Lopez-Inesta, Francisco Grimaldo, Jose Torres
Summary: As the world changes, students need to acquire a diverse set of competencies and skills that focus on sustainability beyond environmental matters. Using educational tools that emulate real-life tasks related to students' future careers can significantly boost their motivation. Adopting teaching techniques that align more closely with the professional work of engineering empowers students and contributes to the advancement of science and technology. This study analyzes the impact of using a mobile robot platform as a teaching approach that merges problem-based learning with hands-on learning. The evaluation shows that students positively perceive the impact of this learning strategy.
Article
Multidisciplinary Sciences
Jakov Matas, Ruzica Tokalic, Daniel Garcia-Costa, Emilia Lopez-Inesta, Elena alvarez-Garcia, Francisco Grimaldo, Ana Marusic
Summary: This study examines how medical students interact with Summary of Findings (SoF) tables and identifies their difficulties in critical thinking and understanding study outcomes. The findings suggest that students struggle with complex questions and tend to focus on answering simpler questions.
SCIENTIFIC REPORTS
(2023)
Article
History & Philosophy Of Science
Emilia Lopez-Inesta, Miguel Angel Queiruga-Dios, Daniel Garcia-Costa, Francisco Grimaldo
Summary: Since the term citizen science first emerged, the number of projects involving citizens in science has increased and spread to various areas. It is becoming a mechanism for involving society, stimulating people's interest in science, and contributing to their scientific literacy.
METODE SCIENCE STUDIES JOURNAL
(2022)
Article
Social Sciences, Interdisciplinary
Alejandro Platas-Lopez, Alejandro Guerra-Hernandez, Francisco Grimaldo
Summary: This study proposes an agent-based approach to simulate the impact of extortion on macroeconomic aggregates. Results show that even low levels of propensity towards extortion can lead to significant negative effects, and there is no police efficiency level that can achieve healthy macroeconomic signals in the absence of extortion.
JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION
(2021)
Article
Mathematics, Interdisciplinary Applications
David Martinez-Galicia, Alejandro Guerra-Hernandez, Nicandro Cruz-Ramirez, Xavier Limon, Francisco Grimaldo
MATHEMATICAL AND COMPUTATIONAL APPLICATIONS
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Alejandro Platas-Lopez, Alejandro Guerra-Hernandez, Federico Cecconi, Mario Paolucci, Francisco Grimaldo
ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT
(2019)
