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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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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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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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
Cites
The Market for "Lemons": Quality Uncertainty and the Market Mechanism
Akerlof, G. A. (1970) · The Quarterly Journal of Economics · doi:10.2307/1879431 · Cited by 23,016
Axelrod, R., & Hamilton, W. D. (1981) · Science · doi:10.1126/science.7466396 · Cited by 20,065
Nielsen, R. P., & Axelrod, R. (1985) · Academy of Management Review · doi:10.2307/257983 · Cited by 6,517
The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions
Bajari, P., Hortaçsu, A., & Hortacsu, A. (2003) · The RAND Journal of Economics · doi:10.2307/1593721 · Cited by 1,041
PENNIES FROM EBAY: THE DETERMINANTS OF PRICE IN ONLINE AUCTIONS*
Lucking‐Reiley, D., Bryan, D., Prasad, N., & Reeves, D. M. (2007) · Journal of Industrial Economics · doi:10.1111/j.1467-6451.2007.00309.x · Cited by 550
(1999) · Advances in group processes · Cited by 426
Lawler, E. J., & Thye, S. R. (2000) · Advances in group processes · doi:10.1016/s0882-6145(2000)17 · Cited by 247
How not to build an online market: the sociology of market microstructure
Kollock, P., & Braziel, E. R. (n.d.) · Advances in Group Processes · doi:10.1016/s0882-6145(06)23011-x
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Cited by
Sorted by citations
Items 801–900 of 2,164
A Novel Reputation Computation Model Based on Subjective Logic for Mobile Ad Hoc Networks
Liu, Y., Li, K., Zhang, Y., et al. (2009) · International Conference on Network and System Security (NSS) · doi:10.1109/nss.2009.68 · Cited by 16
Reputation Management Through Online Feedbacks in e-Business Environment
Kumar, V., & Pradhan, P. (2016) · International Journal of Enterprise Information Systems · doi:10.4018/ijeis.2016010102 · Cited by 16
In the shade of a forest status, reputation, and ambiguity in an online microcredit market
Kuwabara, K., Anthony, D. L., & Horne, C. (2016) · Social Science Research · doi:10.1016/j.ssresearch.2016.09.027 · Cited by 16
Self-citationReal-time detection of shill bidding in online auctions: A literature review
Majadi, N., Trevathan, J., Gray, H., et al. (2017) · Computer Science Review · doi:10.1016/j.cosrev.2017.05.001 · Cited by 16
Komiak, S. (2010) · Journal of the Association for Information Systems · Cited by 16
Free riding-aware forwarding in Content-Addressable Networks
Böhm, K., & Buchmann, E. (2006) · The VLDB Journal · doi:10.1007/s00778-005-0175-3 · Cited by 16
“Reputation systems collect, distribute and aggregate feedback [26].”
Individual Trust and the Internet
van der Werff, L., Real, C., & Lynn, T. (2018) · Routledge eBooks · doi:10.4324/9781315745572-27 · Cited by 16
Wang, P., & McCarthy, B. (2021) · International Journal of Hospitality & Tourism Administration · doi:10.1080/15256480.2021.1988881 · Cited by 15
“…is undermined by the perfunctory rating behavior of consumers or the manipulation of word-of-mouth by service providers; other studies report cases where tourism managers and vendors have a motivation to manipulate online opinions for high payoffs (Gössling et al., 2018; Resnick et al., 2000).”
BackgroundUsing reputation measurement to defend mobile social networks against malicious feedback ratings
Huang, L., Wang, S., Hsu, C., et al. (2015) · The Journal of Supercomputing · doi:10.1007/s11227-015-1432-x · Cited by 15
The value of vengefulness: Reputational incentives for initiating versus reciprocating aggression
Benard, S. W. (2015) · Rationality and Society · doi:10.1177/1043463115576135 · Cited by 15
“This is consistent with research in sociology and economics that seeks to understand how individuals make inferences about others based on their past behavior (e.g. Benard, 2013; Grief, 1989; Nowak and Sigmund, 2005; Raub and Weesie, 1990; Resnick et al., 2000; Whitmeyer, 2000).”
ResultA dynamic game theory approach to solve the free riding problem in the peer-to-peer networks
Hua, J.-S., Huang, S.-M., Yen, D. C., et al. (2011) · Journal of Simulation · doi:10.1057/jos.2011.11 · Cited by 15
“Besides, an expectation that people will consider other’s pasts in future interactions constrains behaviour in the present (Resnick et al , 2000).”
BackgroundSorcery: Could we make P2P content sharing systems robust to deceivers?
Zhai, E., Chen, R., Cai, Z., et al. (2009) · IEEE International Conference on Peer-to-Peer Computing (P2P) · doi:10.1109/p2p.2009.5284532 · Cited by 15
“Note that the content provider may have not voted on some of his shared content items; also, the content voter may have removed the content items which were voted by himself.”
BackgroundImproving the Amazon Review System by Exploiting the Credibility and Time-Decay of Public Reviews
Wang, B.-C., Zhu, W.-Y., & Chen, L. (2008) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wiiat.2008.30 · Cited by 15
“…and Time-Decay of Public Reviews* Bo-Chun Wang, Wen-Yuan Zhu, and Ling-Jyh Chen Institute of Information Science, Academia Sinica {bcwang, juwyx, cclljj}@iis.sinica.edu.tw Abstract In this study, we investigate the review system of Amazon.com and propose a Review-credibility and…”
BackgroundTRECON: A Trust-Based Economic Framework for Efficient Internet Routing
Liang, Z., & Shi, W. (2009) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/tsmca.2009.2030730 · Cited by 15
“Trust inference or reputation-based systems has been a hot topic and studied in the literature [6], [8], [9], [23]–[30].”
BackgroundMethodInfluentialResearch on social e-commerce reputation formation and state-introduced model
Wei, C., -, Z. Y., & Chen, X. (2017) · Kybernetes · doi:10.1108/k-08-2016-0203 · Cited by 15
Alsheikh, S. S., Shaalan, K. F., & Meziane, F. (2019) · IEEE Access · doi:10.1109/access.2019.2917999 · Cited by 15
Measuring Corporate Reputation using Sentiment Analysis
Colleoni, E., Arvidsson, A., Hansen, L. K., & Marchesini, A. (2011) · OpenArchive@CBS (Copenhagen Business School) · Cited by 18
System for evaluating the reliability and novelty of medical scientific papers
de Diego, I. M., González-Fernández, C., Fernández-Isabel, A., et al. (2021) · Journal of Informetrics · doi:10.1016/j.joi.2021.101188 · Cited by 15
Kas, J., Delnoij, J., Corten, R., & Parigi, P. (2022) · Journal of Consumer Behaviour · doi:10.1002/cb.2014 · Cited by 16
Customers E-trust for Online Retailers: A Case in China
Ruimei, W., Wang, S., Tianzhen, W., & Xiling, Z. (2012) · International Conference on Computational Intelligence and Security (CIS) · doi:10.1109/cis.2012.134 · Cited by 15
How users’ participation affects reputation management systems: The case of P2P networks
Remondino, M., & Boella, G. (2010) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2010.05.010 · Cited by 15
“The role of reputation systems is to facilitate trust [13], and often functions by making the reputation more visible.”
BackgroundBehavior analysis through reputation propagation in a multi-context environment
Bagheri, E., & Ghorbani, A. A. (2006) · doi:10.1145/1501434.1501482 · Cited by 15
Sharing airtime with Shair avoids wasting time and money
Hui, P., Mortier, R., Xu, K., et al. (2009) · Proceedings · doi:10.1145/1514411.1514417 · Cited by 15
“Reputation schemes can reduce cheating in the system [16].”
Opinion Summarization in Bengali: A Theme Network Model
Das, A., & Bandyopadhyay, S. (2010) · doi:10.1109/socialcom.2010.104 · Cited by 15
On Desideratum for B2C E-Commerce Reputation Systems
Gutowska, A., Sloane, A., & Buckley, K. A. (2009) · Journal of Computer Science and Technology · doi:10.1007/s11390-009-9274-8 · Cited by 15
“They aim to encourage trustworthy behaviour, and help prevent participation by those who are dishonest [18] .”
MobileTrust: a trust enhanced security architecture for mobile agent systems
Lin, C., & Varadharajan, V. (2009) · International Journal of Information Security · doi:10.1007/s10207-009-0098-x · Cited by 14
Wireless sensor network deployment in mobile phones assisted environment
Ruan, Z., Ngai, E. C. ‐., & Liu, J. (2010) · International Workshop on Quality of Service · doi:10.1109/iwqos.2010.5542754 · Cited by 15
Making Multi-Dimensional Trust Decisions on Inter-Enterprise Collaborations
Ruohomaa, S., & Kutvonen, L. (2008) · International Conference on Availability, Reliability and Security (ARES) · doi:10.1109/ares.2008.32 · Cited by 15
“Reputation systems are prevalent in electronic commerce, and have been identified as a central means to support a healthy electronic marketplace [21].”
BackgroundDrossos, D. A., Μaragoudakis, M., & Kokkinaki, F. (2015) · Journal of Internet Commerce · doi:10.1080/15332861.2015.1011568 · Cited by 15
“One criterion used in evaluating website quality is reputation (Toms and Taves 2004), keeping in mind that a website’s reputation is much like that of an individual or organization (Resnick et al. 2000).”
BackgroundSecuring Rating Aggregation Systems Using Statistical Detectors and Trust
Yang, Y., Sun, Y. L., Kay, S., et al. (2009) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2009.2033741 · Cited by 15
“Then, the submitted opinions are analyzed, aggregated, and made publicly available.”
BackgroundPerformance Evaluation of Rating Aggregation Algorithms in Reputation Systems
Liang, Z., & Shi, W. (2006) · International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom) · doi:10.1109/colcom.2005.1651235 · Cited by 15
“The simulation results show that complicated algorithms are not always a good choice if we take the implementation cost and resistance to bad raters into consideration.”
BackgroundThe Effect of Buyer Feedback Scores on Internet Auction Prices
Lee, Z., Im, I., & Lee, S. J. (2006) · Journal of Organizational Computing and Electronic Commerce · doi:10.1207/s15327744joce1601_3 · Cited by 20
e-Business trust concepts based on seals and insurance solutions
Loebbecke, C. (2003) · Information Systems and e-Business Management · doi:10.1007/bf02683510 · Cited by 15
Chou, S. Y., Picazo-Vela, S., & Pearson, J. M. (2013) · Journal of Internet Commerce · doi:10.1080/15332861.2013.817862 · Cited by 17
“Among various developments in e-commerce, online review systems have received attention because of their potential impact on purchase decisions and online consumer behavior (Chen and Xie 2008; Resnick et al. 2000).”
BackgroundGarbett, A., Comber, R., Egglestone, P., et al. (2014) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/2556288.2557114 · Cited by 15
“User generated reputation systems such as those discussed by Resnick et al [27] rely upon active user engagement, calling upon users to provide feedback and ratings proactively.”
MethodA Probabilistic Framework for Decentralized Management of Trust and Quality
Vu, L., & Aberer, K. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-75119-9_23 · Cited by 15
“In large scale decentralized systems with no central trusted authorities, past performance statistics are usually considered as indicative of future quality behaviors [19].”
BackgroundUsing Social Network Theory Towards Development of Wireless Ad Hoc Network Trust
Pai, S., Roosta, T. G., Wicker, S. B., et al. (2007) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/ainaw.2007.365 · Cited by 15
“…in part by TRUST (The Team for Research in Ubiquitous Secure Technology), which receives support from the National Science Foundation (NSF award number CCF-0424422) and the following organizations: AFOSR (#FA9550-06-1-0244), Cisco, British Telecom, ESCHER, HP, IBM, iCAST, Intel, Microsoft,…”
BackgroundP2P-based Trust Model for E-Commerce
Su, C., Zhang, H., & Bi, F. (2006) · IEEE International Conference on e-Business Engineering (ICEBE) · doi:10.1109/icebe.2006.78 · Cited by 15
“Reputation systems [16] provide a way for building trust through social control without trusted third parties.”
BackgroundWhen can an autonomous reputation scheme discourage free-riding in a peer-to-peer system?
Andrade, N., Mowbray, M., Cirne, W., et al. (2004) · doi:10.1109/ccgrid.2004.1336599 · Cited by 15
INITIAL PERCEPTIONS OF COMPANY TRUSTWORTHINESS ONLINE: A COMPREHENSIVE MODEL AND EMPIRICAL TEST
Koufaris, M., & Hampton-Sosa, W. (2002) · Cited by 15
On some Challenges for Online Trust and Reputation Systems
Tavakolifard, M. (2012) · NORA - Norwegian Open Research Archives · Cited by 15
Racherla, P., & King, R. A. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2187040 · Cited by 19
An Experimental Study of the Reputation Mechanism in a Business Game
Greco, M., Branca, A. M., & Morena, G. (2010) · Simulation & Gaming · doi:10.1177/1046878110376793 · Cited by 14
“Reputation systems, therefore, “seek to restore the shadow of the future to each transaction by creating an expectation that other people will look back upon it” (Resnick et al., 2000; pp. 2).”
BackgroundThe impact of incentive mechanisms in multi-channel mobile music distribution
Furini, M., & Montangero, M. (2007) · Multimedia Tools and Applications · doi:10.1007/s11042-007-0158-z · Cited by 14
Challenges and Trends in User Trust Discourse in AI Popularity
Sousa, S., Cravino, J., & Martins, P. (2023) · Multimodal Technologies and Interaction · doi:10.3390/mti7020013 · Cited by 21
“Or, for instance, take the example of system explainability (XAI) or computational trust models called by some reputation mechanisms [1,62].”
BackgroundHan, G., Zhai, P., Zhu, L., & Li, K. (2023) · Agriculture · doi:10.3390/agriculture13101931 · Cited by 15
Gupta, P., Kim, Y. J., Glikson, E., & Woolley, A. W. (2024) · MIS Quarterly · doi:10.25300/misq/2023/16752 · Cited by 14
Privacy, Liveliness and Fairness for Reputation
Schiffner, S., Clauß, S., & Steinbrecher, S. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-18381-2_42 · Cited by 14
“Many Internet applications integrate reputation systems [1].”
Drivers Of Knowledge Contribution Quality And Quantity In Online Question And Answering Communities
Lou, J., Lim, K. H., Fang, Y., & Peng, Z. C. (2011) · Journal of the Association for Information Systems · Cited by 14
The Digital Age and the Future of Social Network Science and Engineering
Flack, J. C., & D’Souza, R. M. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2368790 · Cited by 14
Online modeling of proactive moderation system for auction fraud detection
Zhang, L., Yang, J., & Tseng, B. L. (2012) · International World Wide Web Conference (WWW) · doi:10.1145/2187836.2187927 · Cited by 14
“[31] summarized several key properties of a good reputation system and also the challenges for the modern reputation systems to elicit user feedback.”
BackgroundParticipatory Sensing: The Tension Between Social Translucence and Privacy
Krontiris, I., & Maisonneuve, N. (2011) · Springer eBooks · doi:10.1007/978-88-470-1818-1_12 · Cited by 14
“Interpretation and understanding of those actions can influence the direction of public decision making [15], influence reputa-tions [16], notions of expertise [17], as well as other aspects of collaboration.”
BackgroundHonisch, S. V., & Manchón, L. M. (2019) · Corporate Reputation Review · doi:10.1057/s41299-019-00070-4 · Cited by 14
A Normal-Distribution Based Reputation Model
Abdel‐Hafez, A., Xu, Y., & Jøsang, A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-09770-1_13 · Cited by 14
“Therefore, reputation systems are an essential part of any e-commerce or product reviews websites, where they provide methods for collecting and aggregating users’ ratings in order to calculate the overall reputation scores for products, users, or services [1].”
BackgroundSimpson, T. W. (2010) · Ethics and Information Technology · doi:10.1007/s10676-010-9259-x · Cited by 19
Beyond knowledge sharing: interactions in online discussion communities
Chua, A. Y. K., & Balkunje, R. S. (2013) · International Journal of Web Based Communities · doi:10.1504/ijwbc.2013.051295 · Cited by 14
“There is no direct communication between reviewers and readers which gives rise to an implicit community feeling (Resnick et al., 2000).”
BackgroundElements of the management of norms and their effects on the sense of virtual community
Petrič, G., & Petrovčič, A. (2014) · Online Information Review · doi:10.1108/oir-04-2013-0083 · Cited by 14
Marktdesign und Experimentelle Wirtschaftsforschung
Ockenfels, A. (2009) · Perspektiven der Wirtschaftspolitik · doi:10.1111/j.1468-2516.2009.00305.x · Cited by 14
Building Collective Belief in Badges: Designing Trust Networks
Grant, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-15425-1_6 · Cited by 14
Measuring Privacy Compliance with Process Specifications
Bănescu, S., & Zannone, N. (2011) · doi:10.1109/metrisec.2011.10 · Cited by 14
“In the remainder of this section, we discuss these factors.”
BackgroundTrust Evaluation for Data Exchange in Vehicular Networks
Truong, N. B., & Lee, G. M. (2017) · ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI) · doi:10.1145/3054977.3057304 · Cited by 14
Anonymous Reputation Systems Achieving Full Dynamicity from Lattices
Kaafarani, A. E., Katsumata, S., & Solomon, R. (2018) · Lecture notes in computer science · doi:10.1007/978-3-662-58387-6_21 · Cited by 14
Assessing the Trustworthiness of Crowdsourced Rainfall Networks: A Reputation System Approach
Chen, A. B., Behl, M., & Goodall, J. L. (2021) · Water Resources Research · doi:10.1029/2021wr029721 · Cited by 17
“Such systems aggregate sellers' past behavior and represent it as a trustworthiness rating for buyers to rely on (Resnick et al., 2000).”
BackgroundAn incentive compatible reputation mechanism for ubiquitous computing environments
Liu, J., & Issarny, V. (2006) · doi:10.1145/1501434.1501478 · Cited by 14
Integrating players, reputation and ranking to manage cheating in MMOGs
Botvich, D., McGibney, J., Ostapenko, G., et al. (2010) · International Conference on the Foundations of Digital Games (FDG) · doi:10.1145/1822348.1822351 · Cited by 14
Featuring trust and reputation management systems for constrained hardware devices
Román, R., Fernández-Gago, C., & López, J. (2007) · doi:10.5555/1365562.1365570 · Cited by 14
A reference model for designing effective reputation information systems
Rein, G. L. (2005) · Journal of Information Science · doi:10.1177/0165551505055401 · Cited by 14
“com and eBay’s ranking systems [5, 13] and several research prototypes [17, 19, 29–45].”
BackgroundParasitism and Internet auction fraud: An exploration
Chua, C. E. H., & Wareham, J. D. (2008) · Information and Organization · doi:10.1016/j.infoandorg.2008.01.001 · Cited by 13
Reputation Information Systems: A Reference Model
Rein, G. L. (2005) · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.1109/hicss.2005.519 · Cited by 14
“Reputation thus creates an expectation of reciprocity or retaliation in future interactions that in turn creates an incentive for good behavior [18].”
BackgroundMahon, J. F., & Mitnick, B. M. (2010) · Journal of Public Affairs · doi:10.1002/pa.362 · Cited by 15
Quantifying incentive compatibility of ranking systems
Altman, A., & Tennenholtz, M. (2006) · Cited by 14
Hu, X., Lin, Z., Whinston, A. B., et al. (2001) · Cited by 14
Dewan, P. (2004) · Proceedings - IEEE International Parallel and Distributed Processing Symposium · doi:10.1109/ipdps.2004.1303095 · Cited by 14
“This paper summarizes a self-certification scheme for the identification of peers using digital certificates similar to SDSI certificates, techniques to mitigate the problem of ’a consortium of liars’ and an elicitation-storage protocol for procuring and storing recommendations.”
MethodSome methods to depress the risks of the online transactions
Haixia, T., & Guo, J. (2005) · International Conference on Electronic Commerce · doi:10.1145/1089551.1089593 · Cited by 14
“[9] state that these mechanisms can help people make decisions about who to trust and provide an incentive for honest behavior.”
BackgroundThe Bidder's CursePreprint
Lee, Y. H., & Malmendier, U. (2007) · SSRN Electronic Journal · Cited by 14
A model for buyer's trust in the e-marketplace
Kim, M., & Ahn, J. (2005) · International Conference on Electronic Commerce · doi:10.1145/1089551.1089590 · Cited by 14
Negotiation and Monitoring in Open Environments
Clark, K. P. (2014) · Research Repository (Delft University of Technology) · doi:10.4233/uuid:5704929d-e436-4a1c-8548-b982bb9b4a7d · Cited by 14
Survey of Attacks and Defenses on P2PSIP Communications
Suárez, D., Sierra, J. M., Izquierdo, A. Y., & Schulzrinne, H. G. (2011) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.060711.00152 · Cited by 13
A reputation-driven scheduler for autonomic and sustainable resource sharing in Grid computing
Liang, Z., & Shi, W. (2009) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2009.05.001 · Cited by 13
“The concept of centralized reputation systems is a very hot topic and it has been widely deployed in e-commerce [4,44,61], such as eBay (an online auction site) and slashdot.”
BackgroundAnalytical Model of Cooperation in Ad Hoc Networks
Wrona, K., & Mähönen, P. (2004) · Telecommunication Systems · doi:10.1023/b:tels.0000041015.43191.40 · Cited by 13
A Framework for Quality Assurance in Crowdsourcing
Wang, J., & Ipeirotis, P. G. (2013) · Faculty Digital Archive (New York University Florence) · Cited by 13
When do I profit? Uncovering boundary conditions on reputation effects in online auctions
Carter, M., Tams, S., & Grover, V. (2016) · Information & Management · doi:10.1016/j.im.2016.06.007 · Cited by 13
Megosztás megosztottság nélkül – az Airbnb és a budapesti szálláshelypiac átalakulása
Jancsik, A., Michalkó, G., & Csernyik, M. (2018) · Közgazdasági Szemle · doi:10.18414/ksz.2018.3.259 · Cited by 13
The saturation effect in hotel managerial response
Liu, X., Ye, Q., Nicolau, J. L., et al. (2022) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2022.103170 · Cited by 13
Raghavan, P. (2005) · Lecture notes in computer science · doi:10.1007/11596370_3 · Cited by 13
Context-sensitive trust computing in distributed environments
Ding, Y., Liu, F., & Tang, B. (2011) · Knowledge-Based Systems · doi:10.1016/j.knosys.2011.12.006 · Cited by 13
Scalable peer-to-peer streaming for live entertainment content
Mykoniati, E., Landa, R., Spirou, S., et al. (2008) · IEEE Communications Magazine · doi:10.1109/mcom.2008.4689206 · Cited by 13
“e able to make contributions towards some set of peers, and then redeem those contributions at a later time, and from a different set of peers. This problem is usually solved using reputation systems [9], where peers implement extended “word-of-mouth” recommendation networks. However, most reputation systems are vulne…”
BackgroundDetection of Feedback Reputation Fraud in Taobao Using Social Network Theory
Yanchun, Z., Zhang, W., & Changhai, Y. (2011) · doi:10.1109/ijcss.2011.44 · Cited by 13
“Current reputation systems face many challenges [6].”
Identifying the features of reputable users in eWOM communities by using Particle Swarm Optimization
Torres, M. D. R. M., Arenas‐Márquez, F. J., Olmedilla, M., & Toral, S. L. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.04.017 · Cited by 15
An efficient approach based on trust and reputation for secured selection of grid resources
Vijayakumar, V., Banu, R. S. D. W., & Abawajy, J. H. (2011) · International Journal of Parallel Emergent and Distributed Systems · doi:10.1080/17445760.2011.575048 · Cited by 13
“This aids in arriving at suggestions and judgement on quality and consistency of the transactions [27].”
RRM: An incentive reputation model for promoting good behaviors in distributed systems
Zhang, H., Duan, H., & Liu, W. (2008) · Science in China Series F Information Sciences · doi:10.1007/s11432-008-0141-y · Cited by 13
Reputationssysteme im eCommerce — Funktionsweise, Anwendung und Nutzenpotenziale
Peters, R., & Reitzenstein, I. (2008) · HMD Praxis der Wirtschaftsinformatik · doi:10.1007/bf03341211 · Cited by 15
“Das Beispiel zeigt die duale Funktionsweise von Reputationssystemen [Resnick et al. 2000, S. 46].”
BackgroundInfluentialResearch on Chinese C2C E-Business Institutional Trust Mechanism: Case Study on Taobao and Ebay(cn)
Li, Q., & Liu, Z. (2007) · International Conference on Wireless Communications, Networking and Mobile Computing · doi:10.1109/wicom.2007.937 · Cited by 13
Distributed Reputation System for Tracking Applications in Sensor Networks
Roosta, T. G., Meingast, M., & Sastry, S. (2006) · doi:10.1109/mobiq.2006.340449 · Cited by 13
Web Site Personalization Using User Profile Information
Goel, M., & Sarkar, S. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47952-x_72 · Cited by 13
Identification of Communities of Peers by Trust and Reputation
Agostini, A., & Moro, G. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30106-6_9 · Cited by 13
Koo, S. G. M., & Lee, C. S. G. (2006) · Telecommunication Systems · doi:10.1007/s11235-006-9021-1 · Cited by 13
Recognition of Postal Codes from Fingerspelling Video Sequence
Guru, D. S., & Suraj, M. (2007) · International Conference on Computational Intelligence and Multimedia Applications (ICCIMA) · doi:10.1109/iccima.2007.203 · Cited by 13
Cumulative Reputation Systems for Peer-to-Peer Content Distribution
Mortazavi, B., & Kesidis, G. (2006) · Conference on Information Sciences and Systems · doi:10.1109/ciss.2006.286385 · Cited by 13
“eBay provides a centralized reputation server through which peers rate each other after each transaction [41], [42].”
BackgroundEnsuring trust in one time exchanges: solving the QoS problem
Huberman, B. A., Wu, F., & Zhang, L. (2005) · NETNOMICS Economic Research and Electronic Networking · doi:10.1007/s11066-006-9002-2 · Cited by 13
“A problem with reputations is that the time scales for their buildup or decay can be very long compared to the typical times involved in exchanges between a provider and a user [4, 9].”
Background
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
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