The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index; none of the 9 sources its claims cite is checked for support yet.
Reputation systems
Open accessAbstract
T he Internet offers vast new opportunities to interact with total strangers. These interactions can be fun, informative, even profitable. But they also involve risk. Is the advice of a self-proclaimed expert at expertcentral.com reliable? Will an unknown dotcom site or eBay seller ship items promptly with appropriate packaging? Will the product be the same one described online?
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Claims the paper makes
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In the paper
“Nevertheless, the overall rate of successful transactions remains astonishingly high for a market as”
- Also stated in: § MARC MONGEAU · hedged
“ripe with the possibility of largescale fraud and deceit”
What the sources say
- Not checked — no full text of the sourcecites [5] 5. Kollock, P. The production of trust in online markets. In Advances in Group Processes, vol. 16, E. Lawler, M. Macy, S. Thyne, and H. Walker, Eds. JAI Press, Greenwich, CT, 1999; see also www.sscnet.ucla.edu/soc/f aculty/kollock/papers/online_trust.htm.
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In the paper
“The first is that people may not bother to provide feedback at all.”
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In the paper
“Such premiums are observed in auctions in auctions of coins and computer chips on eBay [3,6,7].”
What the sources say
- Not matchedcites [3] 3. Bajari, P. and Hortacsu, A. Winner's curse, reserve prices, and endogenous entry: Empirical insights from eBay auctions; see www.stanford.edu/ ~bajari/wp/auction/ebay.pdf.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites [6] 6. Lucking-Reiley, D., Bryan, D., Prasad, N., and Reeves, D. Pennies from eBay: The determinants of price in online auctions; see www.vanderbilt.edu/econ/reiley/papers/PenniesFromEBay.pdf.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites [7] 7. Houser, D. and Wooders, J. Reputation in auctions: Theory and evidence from eBay; see bpa.arizona.edu/~jwooders/ebay.pdf.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Third is the difficulty of ensuring honest reports.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“these systems help people decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“these systems help people decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Reputation systems seek to establish the shadow of the future to each transaction by creating an expectation that other people will look back on it.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Game-theory analysis demonstrates that there are inherent limitations to the effectiveness of reputation systems when participants are allowed to start over with new names [4].”
What the sources say
- Not matchedcites [4] 4. Friedman, E. and Resnick, P. The social cost of cheap pseudonyms; see www.si.umich.edu/~presnick/papers/identifiers/index.html.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A second difficulty in distributing feedback stems from the lack of portability from system to system.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Second, the expectation of reciprocity or retaliation in future interactions creates an incentive for good behavior.”
What the sources say
- Not matchedcites [2] 2. Axelrod, R. The Evolution of Cooperation. Basic Books, New York, 1984.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
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- Probably not a substantial claim. 20
- It may state two separate claims as one. 10
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Despite their theoretical and practical difficulties, it is reassuring that reputation systems appear to perform reasonably well.”
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
- Rests on an assumption: eBay's high rate of successful transactions is attributable to its reputation system.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“At eBay, for example, a stream of buyers interacts with the same seller.They may never buy an item from the seller again, but by sharing their opinions about the seller via the Feedback Forum, they construct a meaningful history of the seller.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“If buyers do behave this way, the sellers' reputations will affect their future sales.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Despite this promise, significant challenges remain in the operating phases of such systems: eliciting, distributing, and aggregating feedback.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“Over time, high-quality sellers would desert the market.Eventually, only the lowest-quality sellers would remain, a dynamic economist George Akerlof memorialized as the”
- Also stated in: § MARC MONGEAU · plain
“market for lemons”
What the sources say
- Not checked — no full text of the sourcecites [1] 1. Akerlof, G. The market for 'lemons': Quality uncertainty and the market mechanism. Quart. J. Econom. 84 (1970), 488-500. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Also stated in: § MARC MONGEAU · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Even then, fear of retaliatory negative feedback or simply a desire to avoid further unpleasant interactions may keep a dissatisfied buyer quiet.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Systems that rely on the participation of large numbers of individuals accumulate trust simply by operating effectively over time.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, sellers with stellar reputations may enjoy a premium on their services; some users may be willing to pay for the security and comfort of high-quality services.”
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In terms of building trust, a boost in the quantity of information compensates for a significant reduction in its quality.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“In particular, newcomers (those with no feedback) should always be distrusted until they have somehow paid their dues, either through an entry fee or by accepting more risk or worse prices while developing their reputations.”
What the sources say
- Not matchedcites [4] 4. Friedman, E. and Resnick, P. The social cost of cheap pseudonyms; see www.si.umich.edu/~presnick/papers/identifiers/index.html.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These simple numerical ratings fail to convey important subtleties of online interactions; for example, Did the feedback come from low-value transactions?What were the reputations of the people providing the feedback?”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Internet services operate on a vastly larger scale”
- Also stated in: § MARC MONGEAU · plain
“than Main Street and permit virtually anonymous interactions.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
- Also stated in: § MARC MONGEAU · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“• Long-lived entities that inspire an expectation of future interaction;”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Today's reputation systems, by contrast, shouldn't work in theory.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“• Use of feedback to guide trust decisions.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“With clear reputation markers, low-quality sellers get lower prices, leaving a healthier market with a variety of prices and quality of service.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Prior to the Internet, such questions were answered, in part, through personal and corporate reputations.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Strangers lack known past histories or the prospect of future interaction, and they are not subject to a network of informed individuals who would punish bad and reward good behavior.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“These interactions can be fun, informative, even profitable.But they also involve risk.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“• Capture and distribution of feedback about current interactions (such information must be visible in the future); and”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The Internet can vastly accelerate and add structure to the process of capturing and distributing information.”
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“One party could blackmail another, threatening to post negative feedback unrelated to actual performance.At the other extreme, in order to accumulate positive feedback, a group of sellers might collaborate and rate one another positively, artificially inflating their individual reputations.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Future buyers, lacking personal histories with particular sellers, may still base their buying decisions on a sufficiently extensive public history.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“When agreeing to be rated is optional (such as when registering as a retailer at bizrate.com), doing so is likely an indication of higher-quality services, even before ratings are available.”
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Even if all reporting were complete and honest, users would find it virtually impossible to utilize the torrents of information they receive on other participants, given the lack of satisfactory summary statistics.”
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Limited distribution of feedback limits its effectiveness; the future casts a shadow on only a single online arena, not on many.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The authors state this as an assumption.
Buyers provide and rely on feedback in reputation systems.
“provide and rely on feedback-isolated interactions take on attributes of long-term relationships.”
The paper relies on this without support.
eBay's high rate of successful transactions is attributable to its reputation system.
“The high rate of successful transactions is attributerd by eBay to its reputation system, called the Feedback Forum.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Resnick et al. (2000) stated that the lack of reputation portability is problematic as ''[l]imited distribution of feedback limits its effectiveness'' (p. 48).”
From In Stars We Trust – A Note on Reputation Portability Between Digital Platforms (2022) · cites this paper as Resnick et al. 2000
The cited source says what the claim attributes to it.
In the citing paper
“The growth of e-auctions and other forms of e-commerce is based, to a considerable degree, on reputation and trust 5-10 .”
From Evolution of indirect reciprocity (2005) · cites this paper as [9]
In the citing paper
“Past research has argued that reputation systems and user-generated reviews may have the primary purpose of allowing users to learn more about each other before engaging in any interactions or transactions, acting as a monitoring and policing system [5,66,67].”
From Digital Identity: The effect of trust and reputation information on user judgement in the Sharing Economy (2018) · cites this paper as [67]
Citations
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“Limited by the difficulty of data collection, the research hotspots are currently focused on the theoretical study of online reputation [10] and the study of the economic value of online reputation [11].”
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“In recent years, eBay’s reputation scoring system has been well accepted by its traders and has become a major reference guiding the traders’ decisions [7].”
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“The ranking of agents based on other agents’ input is fundamental to multi-agent systems [22] and it has become a central element of a variety of applications, where perhaps the most famous examples are Google’s PageRank algorithm [20] and eBay’s reputation system [23].”
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BackgroundCORPS: Building a Community of Reputable PeerS in Distributed Hash Tables
Rosas, E., Marin, O., & Bonnaire, X. (2011) · The Computer Journal · doi:10.1093/comjnl/bxr087 · Cited by 7
“We will focus on DHTs, which provide efficient key lookups, high data availability and persistence.”
MethodExploiting the Beta Distribution-Based Reputation Model in Recommender System
Abdel‐Hafez, A., & Xu, Y. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-26350-2_1 · Cited by 7
“These factors include the time at which a rating was provided, the reputation of the user who provided this rating, and trust among users (Leber-knight, Sen, and Chiang, 2012, Resnick et al., 2000, Wang, Zhu, and Chen, 2008).”
BackgroundNajafi, I. (2014) · International Journal of Computer Trends and Technology · doi:10.14445/22312803/ijctt-v17p152 · Cited by 10
Trust model for social network using singular value decomposition
Ntwiga, D. B., Weke, P. G. O., & Kirumbu, M. K. (2016) · Interdisciplinary Description of Complex Systems · doi:10.7906/indecs.14.3.2 · Cited by 7
Using social networks: Impact on enterprise reputation
de Oliveira, L. S., & Alturas, B. (2016) · Iberian Conference on Information Systems and Technologies (CISTI) · doi:10.1109/cisti.2016.7521417 · Cited by 7
“Embora alguns dos produtores ou consumidores conhecem as avaliações uns dos outros, estes sistemas ajudam as pessoas a decidir em quem confiar, encorajar um comportamento de confiança, e restringir a participação daqueles que são qualificados” [20].”
BackgroundRole of generosity and forgiveness: Return to a cooperative society
Park, H. J., Kim, B. J., & Jeong, H.-C. (2017) · Physical review. E · doi:10.1103/physreve.95.042314 · Cited by 9
Private Peer Feedback as Engagement Driver in Humanitarian Mapping
Dittus, M., & Capra, L. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134675 · Cited by 7
“While the resulting public recognition may be motivating to some, a wide range of studies has shown that negative feedback in such public settings can be demotivating [7, 10, 15, 23, 29, 30, 32, 35, 36].”
BackgroundCustomers becoming creators: how firms leverage technology and consumers for new value
Zotto, P. D., Colombero, S., Pigni, F., & Haggège, M. (2018) · Journal of Business Strategy · doi:10.1108/jbs-06-2017-0087 · Cited by 7
The online laboratory: conducting experiments in a real labor market
Horton, J. J., Rand, D. G., & Zeckhauser, R. (2011) · Experimental Economics · doi:10.1007/s10683-011-9273-9 · Cited by 9
“To combat this potential problem, all sites require would-be members to pass a CAPTCHA, or “completely automated public Turing test to tell computers and humans apart” (von Ahn et al., 2003).”
Self-citationThe Strength of Structural Diversity in Online Social Networks
Zhang, Y., Wang, L., Zhu, J. J. H., Wang, X., & Pentland, A. (2021) · Research · doi:10.34133/2021/9831621 · Cited by 8
“It helps to foster trust among online users and is one of the most valuable assets in our online social lives [40, 41].”
BackgroundFortino, G., Messina, F., Rosaci, D., & Sarnè, G. M. L. (2019) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit.2019.8820294 · Cited by 7
State of the art of Trust and Reputation Systems in E-Commerce Context
Rahimi, H., & Bakkali, H. E. (2017) · International Journal of Computer Science Issues · doi:10.20943/01201703.103109 · Cited by 8
Nojoumian, M. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01554-1_24 · Cited by 7
Trust and Reputation Policy-Based Mechanisms for Self-protection in Autonomic Communications
Serrano, M., van der Meer, S., Strassner, J., Paoli, S. D., Kerr, A., & Storni, C. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02704-8_19 · Cited by 7
Web Personalisation - An Overview
Murugesan, S., & Ramanathan, A. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45336-9_11 · Cited by 7
Evaluating Reputation Systems for Document Authenticity
Daswani, N., Golle, P., Marti, S., et al. (2003) · Cited by 7
Self-adaptive service level agreement monitoring in cloud environments1
Clark, K. P., Warnier, M., & Brazier, F. M. T. (2013) · Multiagent and Grid Systems · doi:10.3233/mgs-130203 · Cited by 7
“For instance, reputation often determines the first service provider a consumer chooses [21].”
A Trust Model Combining Reputation and Credential
Gong, J., Chen, J., Deng, H., et al. (2009) · WASE International Conference on Information Engineering · doi:10.1109/icie.2009.159 · Cited by 7
Effective Usage of Computational Trust Models in Rational Environments
Vu, L., & Aberer, K. (2008) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wiiat.2008.172 · Cited by 6
Exploring the Role of Privacy in Programs on Initial Online Trust Formation
Li, D., Yadav, S. B., & Lin, Z. (2001) · Journal of the Association for Information Systems · Cited by 7
Managing the Internet of Things based on its Social Structure
Nitti, M. (2014) · VEprints - Universita degli Studi di Cagliari · Cited by 7
Gazzale, R. S., & Khopkar, T. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1313230 · Cited by 7
Adaptive Collaboration in Peer-to-Peer Systems
Awerbuch, B., Patt-Shamir, B., Peleg, D., et al. (2005) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2005.9 · Cited by 7
SERVICE ORIENTED COOPERATION AMONG TRUSTWORTHY PEERS
Watanabe, K., & Takizawa, M. (2006) · Journal of Interconnection Networks · doi:10.1142/s0219265906001831 · Cited by 7
Lucassen, T. (2012) · doi:10.3990/1.9789036534857 · Cited by 8
Choice of Transaction Channels: The Effects of Product Characteristics on Market EvolutionPreprint
Ba, S., Stallaert, J., Whinston, A. B., et al. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2853902 · Cited by 7
Mixed Signals: The Effects of Online Rating Discrepancy on User Trust
Schneider, F., Dykmann, P., & Teubner, T. (2025) · Journal of Management Information Systems · doi:10.1080/07421222.2025.2520178 · Cited by 8
“Nevertheless, the GDPR emphasizes the relevance of data portability for both users as well as platform operators [32, 95].”
Towards Context-Aware Service-Oriented Semantic Reputation Framework
Alnemr, R., Schnjakin, M., & Meinel, C. (2011) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom.2011.47 · Cited by 6
“We finalize the paper with conclusion and future work.”
MethodA general model for trust and reputation systems
Dong, F., Huang, L., Yang, W., Zhu, Y., & Wang, J. (2010) · IEEE International Conference on Computer Science and Information Technology · doi:10.1109/iccsit.2010.5563814 · Cited by 6
Parameter Reputation Model for Cloud Service Recommendation and Ranking Using Opinion Mining
Kousalya, G., Manikandan, R., Arunkumar, B., et al. (2024) · IEEE Access · doi:10.1109/access.2024.3371857 · Cited by 6
“Usually, the reputation model is used to find the product reputations, such as mobile, camera and others [7], [8], [9].”
MethodImproving amazon-like review systems by considering the credibility and time-decay of public reviews
Wang, B. C., Zhu, W. Y., & Chen, L. (2011) · Informatica · Cited by 6
Dual-EigenRep: A Reputation-Based Trust Model for P2P File-Sharing Networks
Fan, X., Li, M., Ren, Y., et al. (2010) · doi:10.1109/uic-atc.2010.23 · Cited by 6
“By collecting, distributing and aggregating the feedback about the participants’ past behaviors, the trust models can help participants to decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest [1].”
BackgroundRathore, H. (2016) · Springer eBooks · doi:10.1007/978-3-319-29782-8_10 · Cited by 6
Kang, D., Ryu, S., & Lee, S. (2019) · Journal of Personal Selling and Sales Management · doi:10.1080/08853134.2019.1572511 · Cited by 6
“This is so because the influential salespeople with whom she or he is connected are able to spread news rapidly and broadly to other network members, which will result in a great loss in terms of her or his reputation (Resnick et al. 2000).”
BackgroundInformation about average evaluations spurs cooperation: An experiment on noisy reputation systems
Greiff, M., & Paetzel, F. (2020) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2020.10.014 · Cited by 5
Ilbiz, E., & Kaunert, C. (2022) · Sustainability · doi:10.3390/su14116618 · Cited by 8
A V2X Reputation System with Privacy Considerations
Michalopoulos, P., Meijers, J., Singh, S. F., et al. (2022) · IEEE International Conference on Software Engineering and Service Science (ICSESS) · doi:10.1109/icsess54813.2022.9930178 · Cited by 6
“In the first category, there is eBay [10] and similar services [11], where ratings are collected centrally by a trusted third party that also performs all the reputation calculations.”
BackgroundManaging Reputation Scores in a Blockchain-based Decentralized Marketplace
Mukkamala, R., Olariu, S., Aljohani, M., & Kalari, S. (2022) · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) · doi:10.1109/tps-isa56441.2022.00020 · Cited by 7
“It has been argued that if buyers consistently provide truthful feedback, isolated interactions between buyers and sellers take on attributes of long-term relationships and, as a result, the reputation scores tallied by the marketplace become a high-quality substitute of community-based reputation [32].”
BackgroundInfluentialHow Do Monetary Incentives Affect Online Product Reviews and Sales
Pavlou, P. A., & Wang, S. A. (2015) · Journal of the Association for Information Systems · Cited by 6
Robust Online Reputation Mechanism by Stochastic Approximation
Sakai, T., Terada, K., & Araragi, T. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-32274-0_15 · Cited by 6
“reputation information) become publicly available [2, 3].”
MethodReputation in Multi Agent Systems and the Incentives to Provide Feedback
Heitz, M., König, S., & Eymann, T. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-16178-0_6 · Cited by 6
Social and Q&A interfaces for app download
Dini, G., Foglia, P., Prete, C. A., & Zanda, M. (2014) · Information Processing & Management · doi:10.1016/j.ipm.2014.02.005 · Cited by 7
Towards Reputation Systems applied to Communities of Practice
Cruz, C. C. P., Gouvêa, M. T. A., da Motta, C. L. R., et al. (2007) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd.2007.4281413 · Cited by 6
“Reputation Systems represent an alternative for assisting users to create safe relationships over the Internet [12], allowing them to rate each other, and identify reputations through the opinions within the community.”
BackgroundModeling deceptive information dissemination using a holistic approach
Hu, Y., Xiao, Z., & Panda, B. (2007) · ACM Symposium on Applied Computing · doi:10.1145/1244002.1244341 · Cited by 6
Analysis of Reputation Speculation Behavior in China’s C2C E-Commerce Market
Tian, G., Peng, H., Sun, C., & Li, Y. (2012) · Journal of Computers · doi:10.4304/jcp.7.12.2971-2978 · Cited by 6
Enhancing remote participation in live auctions
Heath, C., Luff, P., Lehn, D. V., et al. (2009) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1518701.1518918 · Cited by 6
“Auctions, social interaction, trust, mundane artefacts”
MNoufidali, V., Thomas, J. S., & Jose, F. A. (2013) · International Journal of Computer Applications · doi:10.5120/10000-4863 · Cited by 6
Proceedings of the 1st International Workshop on Computational Social Choice (COMSOC-2006)
Endriss, U., & Lang, J. (2006) · UvA-DARE (University of Amsterdam) · Cited by 6
A mobile bazaar for wide-area wireless services
Chakravorty, R., Agarwal, S., Banerjee, S., et al. (2006) · Wireless Networks · doi:10.1007/s11276-006-9853-3 · Cited by 6
Cognitive security management with reputation based cooperation schemes in heterogeneous networks
Lee, M., Ye, X., Johnson, S. B., et al. (2009) · doi:10.1109/cicybs.2009.4925085 · Cited by 6
“Collaborative filtering [4] and reputation systems [5] [6] [7] [8] address both these issues as well as incentives.”
BackgroundSecurity challenges for reputation mechanisms using online social networks
Hogg, T. (2009) · ACM Workshop on Artificial Intelligence and Security (AISec) · doi:10.1145/1654988.1654998 · Cited by 6
“However, reputation mechanisms can be manipulated by collusion among friends or the creation of false identities [29], particularly in the context of small vendors in different legal jurisdictions who cannot rely on the branding associated with large, well-known companies.”
BackgroundTowards Trustworthy Mobile Social Networking
Yan, Z., Niemi, V., Chen, Y., Zhang, P., & Kantola, R. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8579-7_9 · Cited by 7
An accurate rating aggregation method for generating item reputation
Abdel‐Hafez, A., Xu, Y., & Jøsang, A. (2015) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa.2015.7344804 · Cited by 6
“These factors include the time at which a rating was provided, the reputation of the user who provided this rating, and trust among users [7, 8, 9, 10, 11].”
BackgroundMethodMalleable Access Rights to Establish and Enable Scientific Collaboration
Hendrikx, F., & Bubendorfer, K. (2013) · IEEE International Conference on eScience · doi:10.1109/escience.2013.26 · Cited by 6
“Traditional reputation systems also provide features to collect, summarise and distribute ratings about users [13], [14].”
BackgroundA Comprehensive Analysis of Nondelivery Fraud at a Major Online Auction Site
Almendra, V. D. S. (2012) · Journal of Internet Commerce · doi:10.1080/15332861.2012.729469 · Cited by 6
“Reputation systems are among the pillars of online auction sites (Resnick et al. 2000).”
BackgroundChiou, S.-Y. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3534-8 · Cited by 6
Can We Use Trust in Online Dating
Stanier, J., Naicken, S., Basu, A., et al. (2010) · Cited by 6
Scaling Concepts between Trust and Enforcement
Schmidt, A. U., Leicher, A., & Cha, I. (2010) · IGI Global eBooks · doi:10.4018/978-1-61520-682-7.ch002 · Cited by 5
Reputation Inflation in an Online Marketplace
Horton, J. J., Leonard, N., & Golden, J. M. (2015) · Cited by 6
Hussein, T., Boger, J. N., & Rudzicz, F. (2018) · Electronic workshops in computing · doi:10.14236/ewic/hci2018.125 · Cited by 7
“Reputation systems (recommender systems, collaborative filtering, or social navigation) aid in trust arbitrations (Dieberger et al., 2000; Resnick & Varian, 1997; Resnick et al., 2000).”
BackgroundOn the ethical and political agency of online reputation systems
Wilson, A. N., & Paoli, S. D. (2019) · First Monday · doi:10.5210/fm.v24i2.9393 · Cited by 7
“In further examples of (cyborg) practices, Resnick et al. (2000) suggest that users not only reciprocate but also retaliate.”
BackgroundInfluentialTakeaway Trust: A Market Data Perspectiveon Reputation Portability in Electronic Commerce
Hesse, M., & Teubner, T. (2020) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2020.629 · Cited by 6
“In the 1990s, eBay and Amazon introduced early versions of reputation systems and—for some time— Amazon allowed its sellers to directly import their ratings from eBay [14].”
BackgroundDynamics of reputation in mobile agents systems and weighted timed automata
Aman, B., & Ciobanu, G. (2020) · Information and Computation · doi:10.1016/j.ic.2020.104653 · Cited by 6
Large-Scale Shill Bidder Detection in E-commerce
Fire, M., Puzis, R., Kagan, D., et al. (2023) · doi:10.1145/3589462.3589479 · Cited by 6
“The accumulated feedback on each seller, which in many cases is viewable to other users of the website, can assist other users in building trust towards the seller [51].”
BackgroundState of Online Privacy: A Technical Perspective
Kelbert, F., Shirazi, F., Simo, H., Wüchner, T., Buchmann, J. A., Pretschner, A., & Waidner, M. (2012) · Acatech-Studie · doi:10.1007/978-3-642-31943-3_4 · Cited by 6
Bowden, J., Burton, B., & Power, D. (2017) · European Journal of Finance · doi:10.1080/1351847x.2017.1288647 · Cited by 6
“However, Resnick et al. (2000) describe online anonymity as ‘double-edged’; while on the one hand it limits the depth of online interactions, on the other it effectively ‘level[s] the playing field’ – the opinions of an individual investor who trades in his spare time can carry just as much weight…”
BackgroundCommTrust: Reputation based trust evaluation in E-Commerce applications
Balaji, P., Nagaraju, O., & Haritha, D. S. N. (2017) · doi:10.1109/icbdaci.2017.8070856 · Cited by 6
The Use of Group Decision-Making to Improve the Monitoring of Air Quality
Orłowski, C., Cofta, P., Wąsik, M., Welfler, P., & Pastuszka, J. S. (2019) · Lecture notes in computer science · doi:10.1007/978-3-662-60555-4_9 · Cited by 6
Metadata
- Authors
- Resnick, P., Kuwabara, K., Zeckhauser, R., & Friedman, E.
- Affiliations
- University of Michigan (US)
- Harvard University (US)
- Rutgers, The State University of New Jersey (US)
- Venue
- Communications of the ACM
- Published
- 2000-12
- Volume
- 43
- Issue
- 12
- Pages
- 45-48
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2337430557
- Cited by
- 2,190
- References
- 7
- Citations by year
- 2026: 38 · 2025: 32 · 2024: 37 · 2023: 33 · 2022: 36 · 2021: 52 · 2020: 58 · 2019: 66 · 2018: 66 · 2017: 87 · 2016: 87 · 2015: 93 · 2014: 110 · 2013: 111 · 2012: 134
- FWCI
- 145.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Communications of the ACM (publishedVersion)
- Funders
- National Science Foundation (9977999)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Access Control and Trust
- Physical Sciences › Computer Science › Information Systems › Expert finding and Q&A systems
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- reputation systems, online trust, online interaction, e-commerce, peer reputation
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