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?
Integrity signals
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Cites
Statistics
Claims the paper makes
0 of 9 cited sources checked · 0 supported · 0 flagged
- Findingcitation§ MARC MONGEAU
The overall rate of successful transactions on eBay remains astonishingly high for a market as ripe with large-scale fraud and deceit as eBay.
“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”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [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.
- Also stated in: § MARC MONGEAU · hedged
- Findingreasoning§ MARC MONGEAU
People may not bother to provide feedback at all.
“The first is that people may not bother to provide feedback at all.”
Quote in the paperSubstantial claim - Findingcitation§ MARC MONGEAU
Premiums for stellar reputations are observed in auctions of coins and computer chips on eBay.
“Such premiums are observed in auctions in auctions of coins and computer chips on eBay [3,6,7].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [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.
- cites [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.
- cites [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.
- Interpretationreasoning§ MARC MONGEAU
It is difficult to ensure honest reports in reputation systems.
“Third is the difficulty of ensuring honest reports.”
Quote in the paperSubstantial claim - Interpretationnone given§ MARC MONGEAU
Reputation systems deter participation by those who are unskilled or dishonest.
“these systems help people decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest.”
Quote in the paperSubstantial claim
- Interpretationreasoning§ MARC MONGEAU
Reputation systems encourage trustworthy behavior.
“these systems help people decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest.”
Quote in the paperSubstantial claim - Interpretationreasoning§ MARC MONGEAU
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.
“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.”
Quote in the paperSubstantial claim - Premisecitation§ MARC MONGEAU
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.
“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].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [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.
- Interpretationnone given§ MARC MONGEAU
A second difficulty in distributing feedback stems from the lack of portability from system to system.
“A second difficulty in distributing feedback stems from the lack of portability from system to system.”
Quote in the paperNot a substantial claim - Premisecitation§ MARC MONGEAU
The expectation of reciprocity or retaliation in future interactions creates an incentive for good behavior.
“Second, the expectation of reciprocity or retaliation in future interactions creates an incentive for good behavior.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [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.
- Premisenone given§ MARC MONGEAU
When people interact with one another over time, the history of past interactions informs them about their abilities and dispositions.
“First, when people interact with one another over time, the history of past interactions informs them about their abilities and dispositions.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ MARC MONGEAU
Through the mediation of a reputation system, isolated interactions take on attributes of long-term relationships.
“provide and rely on feedback-isolated interactions take on attributes of long-term relationships.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Buyers provide and rely on feedback in reputation systems.
- Interpretationreasoning§ MARC MONGEAU
It is especially difficult to elicit negative feedback.
“Second, it is especially difficult to elicit negative feedback.”
Quote in the paperSubstantial claim - Premisecitation§ MARC MONGEAU
An expectation that people will consider one another's pasts in future interactions constrains behavior in the present.
“An expectation that people will consider one another's pasts in future interactions constrains behavior in the present.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [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.
- Premisereasoning§ MARC MONGEAU
Reputations still play a major role in online interactions.
“Nevertheless, reputations still play a major role.”
Quote in the paperSubstantial claim - Interpretationreasoning§ MARC MONGEAU
Name changes pose a challenge to distributing feedback in reputation systems.
“Distributing feedback, the second phase, poses its own challenges.One is name changes.”
Quote in the paperSubstantial claim - Interpretationreasoning§ MARC MONGEAU
Reputation systems can reverse the market-for-lemons flow and unsqueeze a bitter lemon.
“Reputation systems can reverse this flow and”
- Also stated in: § MARC MONGEAU · plain
“unsqueeze”
- Also stated in: § MARC MONGEAU · plain
“a bitter lemon.”
Quote in the paperSubstantial claim - Also stated in: § MARC MONGEAU · plain
- Interpretationreasoning§ MARC MONGEAU
Among strangers, the temptation to hit and run outweighs the incentive to cooperate, since the future casts no shadow.
“Given these factors, the temptation to”
- Also stated in: § MARC MONGEAU · plain
“hit and run”
- Also stated in: § MARC MONGEAU · plain
“outweighs the incentive to cooperate, since the future casts no shadow.”
Quote in the paperSubstantial claim - Also stated in: § MARC MONGEAU · plain
- Interpretationreasoning§ MARC MONGEAU
Because information about patterns of moderate discontent may remain invisible, buyers cannot shun the sellers who foster such discontent.
“In the end, because information about patterns of moderate discontent may remain invisible, buyers cannot shun the sellers who foster such discontent.”
Quote in the paperSubstantial claim - Interpretationreasoning§ MARC MONGEAU
Reputation systems help people decide whom to trust.
“these systems help people decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest.”
Quote in the paperSubstantial claim - Premisereasoning§ MARC MONGEAU
Among strangers, trust is much more difficult to build.
“Among strangers, trust is understandably much more difficult to build.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 20
- May combine two claims. 10
Probably not a substantial claim: may not pass S4 (based).
Findingnone given§ MARC MONGEAUDespite their theoretical and practical difficulties, reputation systems appear to perform reasonably well.
“Despite their theoretical and practical difficulties, it is reassuring that reputation systems appear to perform reasonably well.”
Quote in the paperNot a substantial claim- Rests on an assumption: eBay's high rate of successful transactions is attributable to its reputation system.
Classified as probably not a substantial claim. May combine two claims.
Findingnone given§ MARC MONGEAUAt eBay, a stream of buyers interacts with the same seller; they may never buy again, but by sharing opinions via the Feedback Forum, they construct a meaningful history of the seller.
“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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ MARC MONGEAUIf buyers base decisions on public history, sellers' reputations will affect their future sales.
“If buyers do behave this way, the sellers' reputations will affect their future sales.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ MARC MONGEAUSignificant challenges remain in the operating phases of reputation systems: eliciting, distributing, and aggregating feedback.
“Despite this promise, significant challenges remain in the operating phases of such systems: eliciting, distributing, and aggregating feedback.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ MARC MONGEAUIn a market with no reputation system, high-quality sellers would desert the market over time, and eventually only the lowest-quality sellers would remain.
“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”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] 1. Akerlof, G. The market for 'lemons': Quality uncertainty and the market mechanism. Quart. J. Econom. 84 (1970), 488-500. source
- Also stated in: § MARC MONGEAU · plain
Classified as probably not a substantial claim. May combine two claims.
Interpretationnone given§ MARC MONGEAUFear of retaliatory negative feedback or a desire to avoid further unpleasant interactions may keep a dissatisfied buyer quiet.
“Even then, fear of retaliatory negative feedback or simply a desire to avoid further unpleasant interactions may keep a dissatisfied buyer quiet.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ MARC MONGEAUSystems that rely on the participation of large numbers of individuals accumulate trust simply by operating effectively over time.
“Systems that rely on the participation of large numbers of individuals accumulate trust simply by operating effectively over time.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ MARC MONGEAUSellers 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.
“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.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ MARC MONGEAUIn terms of building trust, a boost in the quantity of information compensates for a significant reduction in its quality.
“In terms of building trust, a boost in the quantity of information compensates for a significant reduction in its quality.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationcitation§ MARC MONGEAUNewcomers 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.
“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.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [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.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationreasoning§ MARC MONGEAUSimple numerical ratings fail to convey important subtleties of online interactions.
“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?”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone given§ AbstractInternet services operate on a vastly larger scale than Main Street and permit virtually anonymous interactions.
“Internet services operate on a vastly larger scale”
- Also stated in: § MARC MONGEAU · plain
“than Main Street and permit virtually anonymous interactions.”
Quote in the paperNot a substantial claim- Also stated in: § MARC MONGEAU · plain
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ MARC MONGEAUTo operate effectively, reputation systems require long-lived entities that inspire an expectation of future interaction.
“• Long-lived entities that inspire an expectation of future interaction;”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationreasoning§ MARC MONGEAUToday's reputation systems shouldn't work in theory.
“Today's reputation systems, by contrast, shouldn't work in theory.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ MARC MONGEAUTo operate effectively, reputation systems require use of feedback to guide trust decisions.
“• Use of feedback to guide trust decisions.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ MARC MONGEAUWith clear reputation markers, low-quality sellers get lower prices, leaving a healthier market with a variety of prices and quality of service.
“With clear reputation markers, low-quality sellers get lower prices, leaving a healthier market with a variety of prices and quality of service.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ AbstractPrior to the Internet, questions about the reliability of vendors were answered in part through personal and corporate reputations.
“Prior to the Internet, such questions were answered, in part, through personal and corporate reputations.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ MARC MONGEAUStrangers 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.
“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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ AbstractInternet interactions with strangers involve risk.
“These interactions can be fun, informative, even profitable.But they also involve risk.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ MARC MONGEAUTo operate effectively, reputation systems require capture and distribution of feedback about current interactions, visible in the future.
“• Capture and distribution of feedback about current interactions (such information must be visible in the future); and”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationreasoning§ MARC MONGEAUThe Internet can vastly accelerate and add structure to the process of capturing and distributing information.
“The Internet can vastly accelerate and add structure to the process of capturing and distributing information.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ MARC MONGEAUReputation systems are vulnerable to blackmail and to collusive positive ratings that artificially inflate reputations.
“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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ MARC MONGEAUFuture buyers, lacking personal histories with particular sellers, may still base their buying decisions on a sufficiently extensive public history.
“Future buyers, lacking personal histories with particular sellers, may still base their buying decisions on a sufficiently extensive public history.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ MARC MONGEAUWhen agreeing to be rated is optional, doing so is likely an indication of higher-quality services, even before ratings are available.
“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.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone given§ MARC MONGEAUEven 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.
“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.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ MARC MONGEAULimited distribution of feedback limits its effectiveness; the future casts a shadow on only a single online arena, not on many.
“Limited distribution of feedback limits its effectiveness; the future casts a shadow on only a single online arena, not on many.”
Quote in the paperNot a substantial claim
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 lack of reputation portability is problematic because limited distribution of feedback limits its effectiveness.
“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 growth of e-auctions and other forms of e-commerce is based, to a considerable degree, on reputation and trust.
“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]
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.
“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]
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“In contrast, reviewers' self-disclosure that is patterned after community norms communicates reviewers' community identification to others, helps to establish the reviewers' reputation (Resnick et al. 2000), and provides an opportunity to obtain identity-verifying responses from fellow members.”
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“Reputation systems, also known as recommender systems, collaborative filtering or social navigation, provide a mechanism for judging who is trustworthy when parties lack a personal history of past experience with each other (Resnick and Varian, 1997; Dieberger et al., 2000; Resnick et al., 2000).”
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“Mean-while, feedback reputation system contains rating scale from 1 to 5, or using several measures (friendliness, prompt response, quality product, etc.), or averaging rather than totalling feedback scores (Resnick et al., 2000).”
BackgroundReputation in Auctions: Theory, and Evidence from e Bay
Houser, D. E., & Wooders, J. (2006) · Journal of Economics & Management Strategy · doi:10.1111/j.1530-9134.2006.00103.x · Cited by 698 · see citing works
“For an introduction to the various ways in which reputation systems facilitate trade in otherwise anonymous settings, see Resnick et al. (2000). importance of reputation in theoretical models, empirical work has been hampered by a lack of data.”
BackgroundA survey of trust in computer science and the Semantic Web
Artz, D., & Gil, Y. (2007) · Journal of Web Semantics · doi:10.1016/j.websem.2007.03.002 · Cited by 682 · see citing works
“…[66] (Mui et al., 2002) [5] (Staab et al., 2004) [67] Computational and online trust models (Marsh, 1994) [68] (Ziegler and Lausen, 2005) [69] (Resnick et al., 2000) [70] (Friedman et al., 2000) [71] (Falcone and Castelfranchi, 2004) [72] (Jonker et al., 2004) [73] Game theory and agents…”
BackgroundA survey of trust in social networks
Sherchan, W., Nepal, ., & Paris, C. L. (2013) · ACM Computing Surveys · doi:10.1145/2501654.2501661 · Cited by 666 · see citing works
A Survey on Trust Management for Mobile Ad Hoc Networks
Cho, J.-H., Swami, A., & Chen, I.-R. (2010) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.092110.00088 · Cited by 672 · see citing works
“…making is in our everyday life, trust establishment and management in MANETs face challenges due to the severe resource constraints, the open nature of the wireless medium, the complex dependence between the communications, social and application networks, and, hence, the complex dependency of any…”
BackgroundYang, Z., Cai, S., Zhou, Z., & Zhou, N. (2004) · Information & Management · doi:10.1016/j.im.2004.03.001 · Cited by 791 · see citing works
“Facilities may include user chat rooms, message board, customer reviews, reputation systems, and customer ratings [43,50].”
BackgroundSocial Networks and the Diffusion of User-Generated Content: Evidence from YouTube
Susarla, A., Oh, J., & Tan, Y. (2011) · Information Systems Research · doi:10.1287/isre.1100.0339 · Cited by 610 · see citing works
“Given the ease of creating a personalized page or channel, a user on YouTube can engage in selfexpression (Raymond 2001) as well as obtain peer recognition (Resnick et al. 2000) from social interactions with other users.”
BackgroundThe Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback MechanismsPreprint
Dellarocas, C. N. (2003) · SSRN Electronic Journal · doi:10.2139/ssrn.393042 · Cited by 621 · see citing works
Information theoretic framework of trust modeling and evaluation for ad hoc networks
Sun, Y. L., Yu, W., Han, Z., & Liu, K. J. R. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2005.861389 · Cited by 611 · see citing works
“attacks as presented in [28]–[31] and a new attack strategy re-”
BackgroundInternet Users’ Information Privacy-Protective Responses: A Taxonomy and a Nomological MODEL1
Son, J.-Y., & Kim, S. S. (2008) · MIS Quarterly · doi:10.2307/25148854 · Cited by 614 · see citing works
“Negative word-of-mouth communication is expected to damage the reputation of online companies and reduce their future sales (Resnick et al. 2000).”
BackgroundA reputation-based approach for choosing reliable resources in peer-to-peer networks
Damiani, E., di Vimercati, D. C., Paraboschi, S., et al. (2002) · Proceedings of the ACM Conference on Computer and Communications Security · doi:10.1145/586110.586138 · Cited by 609 · see citing works
“Reputation models allow the expression and reasoning about trust in a peer based on its past behavior [18] and interactions other peers have experienced with it.”
BackgroundReputation-based framework for high integrity sensor networks
Ganeriwal, S., & Srivastava, M. B. (2004) · Security of ad hoc and Sensor Networks · doi:10.1145/1029102.1029115 · Cited by 579 · see citing works
“Reputation systems have been widely studied in the context of several diverse domains such as e-commerce [Resnick and Zeckhauser 2000; Resnick et al. 2000], Internet [Blaze et al.”
BackgroundPavlou, P. A., & Gefen, D. (2005) · Information Systems Research · doi:10.1287/isre.1050.0065 · Cited by 580 · see citing works
“Table 2 shows six common sources of PCV with an individual seller based on a thorough review of the academic (Ba and Pavlou 2002, Koh et al. 2004, Resnick, et al. 2000, Snyder 2000), and practitioner (Bernstein 2000, Collins 2001, Gross 2003, Ho 2003, IFCC 2003, O'Donnell and Swartz 2003)…”
Einav, L., Farronato, C., & Levin, J. (2016) · Annual Review of Economics · doi:10.1146/annurev-economics-080315-015334 · Cited by 553 · see citing works
Reputation and Feedback Systems in Online Platform Markets
Tadelis, S. (2016) · Annual Review of Economics · doi:10.1146/annurev-economics-080315-015325 · Cited by 524 · see citing works
“As mentioned earlier, many have attributed the success of ebay to the advent of its reputation and feedback mechanism (see, e.g., Resnick et al. (2000)).”
BackgroundBlockchain Governance—A New Way of Organizing Collaborations?
Lumineau, F., Wang, W., & Schilke, O. S. (2020) · Organization Science · doi:10.1287/orsc.2020.1379 · Cited by 537 · see citing works
“Cus-tomers may rely on online reviews to gain knowledge about the reputation of a given supplier (Resnick et al. 2000).”
BackgroundA Robust Reputation System for P2P and Mobile Ad-hoc Networks
Buchegger, S., & Boudec, J. L. (2004) · Cited by 511 · see citing works
Trustworthiness Management in the Social Internet of Things
Nitti, M., Girau, R., & Atzori, L. (2013) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2013.105 · Cited by 510 · see citing works
“As described in [15], all information can be stored in a centralized storage to foster sharing and make easy the processing; however, it easily leads to a single point of failure.”
BackgroundRacherla, P., & Friske, W. (2012) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2012.06.003 · Cited by 525 · see citing works
“As Resnick et al. (2000) note: ‘‘these simple numerical ratings fail to convey important subtleties of online interactions.”
BackgroundExpanding Explainability: Towards Social Transparency in AI systems
Ehsan, U., Liao, Q. V., Muller, M., Riedl, M. O., & Weisz, J. D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445188 · Cited by 538 · see citing works
Amblee, N. C., & Bui, T. (2011) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415160205 · Cited by 495 · see citing works
A review of volunteered geographic information quality assessment methods
Senaratne, H., Mobasheri, A., Ali, A. L., et al. (2016) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2016.1189556 · Cited by 495 · see citing works
“Resnick et al. (2000) described contributors’ abilities and dispositions as features where this reputation can be based upon.”
BackgroundA content-driven reputation system for the wikipedia
Adler, B. T., & de Alfaro, L. (2007) · International World Wide Web Conference (WWW) · doi:10.1145/1242572.1242608 · Cited by 441 · see citing works
Engineering Trust: Reciprocity in the Production of Reputation Information
Bolton, G., Greiner, B., & Ockenfels, A. (2013) · Management Science · doi:10.1287/mnsc.1120.1609 · Cited by 429 · see citing works
Brain Meets Brawn: Why Grid and Agents Need Each Other
Foster, I. T., Jennings, N. R., & Kesselman, C. (2004) · Adaptive Agents and Multi-Agents Systems · doi:10.1109/aamas.2004.78 · Cited by 428 · see citing works
Meng, G., Liu, Y., Zhang, J., Pokluda, A., & Boutaba, R. (2015) · ACM Computing Surveys · doi:10.1145/2785733 · Cited by 427 · see citing works
“Robustness means the resilience of collaborative security systems to attacks, especially the insider attacks such as Sybil attack [Douceur 2002], Newcomer attack [Resnick et al. 2000] and Collusion attack [Fung 2011].”
BackgroundThe Online Laboratory: Conducting Experiments in a Real Labor Market
Horton, J. J., Rand, D. G., & Zeckhauser, R. (2010) · National Bureau of Economic Research · doi:10.3386/w15961 · Cited by 402 · see citing works
Self-citationNodes bearing grudges: towards routing security, fairness, and robustness in mobile ad hoc networks
Buchegger, S., & Boudec, J.-Y. L. (2003) · doi:10.1109/empdp.2002.994321 · Cited by 402 · see citing works
Willemsen, L. M., Neijens, P. C., Bronner, F. E., & de Ridder, J. A. (2011) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2011.01551.x · Cited by 400 · see citing works
Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings
Lee, Y.-J., Hosanagar, K., & Tan, Y. (2015) · Management Science · doi:10.1287/mnsc.2014.2082 · Cited by 377 · see citing works
Netprobe: a fast and scalable system for fraud detection in online auction networks
Pandit, S., Chau, D. H., Wang, S., & Faloutsos, C. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242600 · Cited by 382 · see citing works
“Our experiments prove that Incremental NetProbe executes nearly doubly fast as compared to NetProbe, while retaining over 99% of its accuracy.”
Trust Computations and Trust Dynamics in Mobile Adhoc Networks: A Survey
Govindan, K., & Mohapatra, P. (2011) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.042711.00083 · Cited by 365 · see citing works
Social Network Analysis and Mining for Business Applications
Bonchi, F., Castillo, C., Gionis, A., & Jaimes, A. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961194 · Cited by 361 · see citing works
“Second, in many communities positive assessments are dominant, as people are much more cautious when providing negative judgments for fear of retaliatory negative feedback, or simply to avoid further unpleasant interactions [Resnick et al. 2000].”
BackgroundSecure Multiparty Computations on Bitcoin
Andrychowicz, M., Dziembowski, S., Malinowski, D., & Mazurek, Ł. (2014) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2014.35 · Cited by 348 · see citing works
Sun, Y. L., Han, Z., Yu, W., & Liu, K. J. R. (2006) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2006.154 · Cited by 349 · see citing works
“If a malicious node can easily register as a new user, the trust management suffers from the newcomer attack [33].”
BackgroundManaging Online Auctions: Current Business and Research Issues
Pinker, E. J., Seidmann, A. A., & Vakrat, Y. (2003) · Management Science · doi:10.1287/mnsc.49.11.1457.20584 · Cited by 346 · see citing works
Controversial users demand local trust metrics: An experimental study on epinions.com community
Massa, P., & Avesani, P. (2005) · Cited by 341 · see citing works
Taxonomy and Survey of Collaborative Intrusion Detection
Vasilomanolakis, E., Karuppayah, S., Mühlhäuser, M., & Fischer, M. (2015) · ACM Computing Surveys · doi:10.1145/2716260 · Cited by 330 · see citing works
“ACM Computing Surveys, Vol Taxonomy and Survey of Collaborative Intrusion Detection 55:7 A generic countermeasure against malicious insiders in distributed systems is the adoption of reputation systems [Resnick et al. 2000; Marti and Garcia-Molina 2006], such as EigenTrust [Kamvar et al. 2003].”
MethodThe Global Platform Economy: A New Offshoring Institution Enabling Emerging-Economy Microproviders
Lehdonvirta, V., kässi, O., Hjorth, I., Barnard, H. C., & Graham, M. (2018) · Journal of Management · doi:10.1177/0149206318786781 · Cited by 317 · see citing works
“Ratings are still subject to various biases and dysfunctions, such as reciprocal behavior (Diekmann, Jann, Przepiorka, & Wehrli, 2014), inflation over time (Filippas, Horton, & Golden, 2018), and potentially even discrimination and blackmail (Resnick, Kuwabara, Zeckhauser, & Friedman, 2000).”
BackgroundTerveen, L., & McDonald, D. W. (2005) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1096737.1096740 · Cited by 315 · see citing works
Helpful Reviewers in TripAdvisor, an Online Travel Community
Lee, A., Law, R., & Jamie Murphy, A. (2011) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2011.611739 · Cited by 315 · see citing works
“Online reputation systems help users identify reputation of others by collecting, distributing, and aggregating feedback about participants’ past behavior (Resnick et al., 2000).”
BackgroundPsychological antecedents of institution-based consumer trust in e-retailing
Walczuch, R. M., & Lundgren, H. (2004) · Information & Management · doi:10.1016/j.im.2003.12.009 · Cited by 309 · see citing works
“Most has been on the effects of situational factors; i.e., the design of the website and the use of brand names or trust seals [17,33,37,38,47,50–52,54 ,55 Trustismuch more important in an online situation than in an offline situation.”
Kravari, K., & Bassiliades, N. (2015) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.2661 · Cited by 308 · see citing works
Li, F., & DU, T. C.-T. (2011) · Decision Support Systems · doi:10.1016/j.dss.2010.12.007 · Cited by 310 · see citing works
“A recommendation system can be further developed into a reputation system that collects information on the past behavior of participants to indicate their skill or honesty in recommending [33].”
BackgroundThe Sharing Economy and Consumer Protection Regulation: The Case for Policy Change
Koopman, C., Mitchell, M. D., & Thierer, A. D. (2014) · doi:10.2139/ssrn.2535345 · Cited by 298 · see citing works
Lee, J., Park, D., & Han, I. (2011) · Internet Research · doi:10.1108/10662241111123766 · Cited by 299 · see citing works
“Moreover, previous studies suggested the building of trust in the person-to-person and person-to-medium contexts in a web environment, such as reputation systems, through social control by utilizing community-based feedback regarding past experiences of consumers to make product recommendations (Resnick et al., 2000);…”
BackgroundReputation Mechanism Design in Online Trading Environments with Pure Moral Hazard
Dellarocas, C. N. (2005) · Information Systems Research · doi:10.1287/isre.1050.0054 · Cited by 288 · see citing works
“…2005, pp. 209–230 issn 1047-7047 eissn 1526-5536 05 1602 0209 informs ® doi 10.1287/isre.1050.0054 ©2005 INFORMS Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard Chrysanthos Dellarocas R. H. Smith School of Business, University of Maryland, College Park, Maryland…”
BackgroundInfluentialBuilding trust in online auction markets through an economic incentive mechanism
Ba, S., Whinston, A. B., & Zhang, H. (2003) · Decision Support Systems · doi:10.1016/s0167-9236(02)00074-x · Cited by 282 · see citing works
Sybilproof reputation mechanisms
Cheng, A., & Friedman, E. (2005) · doi:10.1145/1080192.1080202 · Cited by 270 · see citing works
“A reputation system attempts to aggregate the peers or users’ collective experiences in order to allow a user to form an opinion about someone with whom he has not previously interacted [8].”
BackgroundSelf-citationWalther, J. B., DeAndrea, D. C., Kim, J.-S., & Anthony, J. C. (2010) · Human Communication Research · doi:10.1111/j.1468-2958.2010.01384.x · Cited by 270 · see citing works
Fraud detections for online businesses: a perspective from blockchain technology
Cai, Y., & Zhu, D. (2016) · Financial Innovation · doi:10.1186/s40854-016-0039-4 · Cited by 269 · see citing works
“As privacy is an important concern for users who are reluctant to provide information, Schaub et al. (2016) propose how to utilize digital signatures to design reputation systems that can protect users’ privacy. In a similar vein, Soska and Christin (2015) propose a system “Beaver,” which protects users’ privacy, whil…”
Kim, D. J., Song, Y. I., Braynov, S., & Rao, H. R. (2004) · Decision Support Systems · doi:10.1016/j.dss.2004.01.006 · Cited by 262 · see citing works
Social norm complexity and past reputations in the evolution of cooperation
Santos, F. P., Santos, F. C., & Pacheco, J. M. (2018) · Nature · doi:10.1038/nature25763 · Cited by 265 · see citing works
Social Cloud Computing: A Vision for Socially Motivated Resource Sharing
Chard, K., Bubendorfer, K., Caton, S. J., & RANA, O. F. (2011) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2011.39 · Cited by 251 · see citing works
“A model based entirely on a measure of individual reputation [20], [21], [22], [23].”
MethodNotions of reputation in multi-agents systems
Mui, L., Mohtashemi, M., & Halberstadt, A. (2002) · Adaptive Agents and Multi-Agents Systems · doi:10.1145/544741.544807 · Cited by 254 · see citing works
“Reputation reporting systems have been implemented in e-commerce systems and have been credited with these systems’ successes (Resnick, et al ., 2000a).”
MethodMolz, J. G. (2013) · Annals of Tourism Research · doi:10.1016/j.annals.2013.08.001 · Cited by 255 · see citing works
The Effect of Rumor Spreading in Reputation Systems for Mobile Ad-hoc Networks
Buchegger, S., & Boudec, J. L. (2003) · Cited by 252 · see citing works
A Survey on Trust Management for VANETs
Zhang, J. (2011) · International Conference on Advanced Information Networking and Applications (AINA) · doi:10.1109/aina.2011.86 · Cited by 249 · see citing works
“2) Newcomer Attack: These attacks occur when a malicious peer can easily register as a new user [55].”
BackgroundADVERSE SELECTION IN ELECTRONIC MARKETS: EVIDENCE FROM ONLINE STAMP AUCTIONS
Dewan, S., & Hsu, V. N. (2004) · Journal of Industrial Economics · doi:10.1111/j.0022-1821.2004.00237.x · Cited by 234 · see citing works
“1 See Resnick et al. [2000] for a discussion of reputation systems in online auctions and elsewhere on the Internet.”
BackgroundInfluentialRuohomaa, S., & Kutvonen, L. (2005) · Lecture notes in computer science · doi:10.1007/11429760_6 · Cited by 245 · see citing works
“Behaviour information can be gathered locally [30, 9], or it can be received as third-party observations through a reputation system [31].”
BackgroundInfluentialCommunication Processes in Participatory Websites
Walther, J. B., & Jang, J.-W. (2012) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2012.01592.x · Cited by 246 · see citing works
All Reviews are Not Created Equal: The Disaggregate Impact of Reviews and Reviewers at Amazon.ComPreprint
Chen, P.-Y., Dhanasobhon, S., & Smith, M. D. (2006) · SSRN Electronic Journal · doi:10.2139/ssrn.918083 · Cited by 240 · see citing works
“Moreover, when product quality cannot easily be verified, consumers can use the supplier's reputation as an indication of the quality of the product (Resnick et al. 2000).”
International entrepreneurship in internet-enabled markets
Reuber, A., & Fischer, E. (2011) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2011.05.002 · Cited by 241 · see citing works
“The valenceof anonline signal is its favorability (theextenttowhichit is positiveor negative): fi rms are more likely to disclose information that favors them and to fail to disclose information that could hurt them (Resnick et al., 2000).”
BackgroundPoston, R. S., & Speier, C. (2005) · MIS Quarterly · doi:10.2307/25148678 · Cited by 238 · see citing works
Economic reasoning and artificial intelligence
Parkes, D. C., & Wellman, M. P. (2015) · Science · doi:10.1126/science.aaa8403 · Cited by 236 · see citing works
Intermediation in a Sharing Economy: Insurance, Moral Hazard, and Rent Extraction
Weber, T. A. (2014) · Journal of Management Information Systems · doi:10.1080/07421222.2014.995520 · Cited by 233 · see citing works
“The recent growth of collaborative housing suggests that intermediation has helped to overcome a persistent market failure stemming from moral hazard issues in the shared use of private space.”
A Reputation-Based Trust Management System for P2P Networks
Aydın, A., Ersin, S., & Mark, U. (2008) · Cited by 235 · see citing works
Routing for disruption tolerant networks: taxonomy and design
Spyropoulos, T., Rais, R. N. B., Turletti, T., et al. (2010) · Wireless Networks · doi:10.1007/s11276-010-0276-9 · Cited by 232 · see citing works
Computational models of trust and reputation : agents, evolutionary games, and social networks
Mui, L. (2002) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 228 · see citing works
Personalized recommendation via integrated diffusion on user–item–tag tripartite graphs
Zhang, Z., Zhou, T., & Zhang, Y. (2009) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2009.08.036 · Cited by 230 · see citing works
“ity of data resulted from: (i) the huge number of items far beyond user's ability to evaluate even a small fraction of them; (ii) users do not incentively wish to rate the purchased/viewed items [12]. As shown in Figure 1, besides the fundamental user-item relations, some accessorial information can be exploited…”
BackgroundSecuredTrust: A Dynamic Trust Computation Model for Secured Communication in Multiagent Systems
Das, A., & Islam, M. M. (2011) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2011.57 · Cited by 229 · see citing works
“A reputation-based trust model [11], [12], [13], [14] collects, distributes, and aggregates feedback about participants' past behavior.”
Background
- 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
- Social Sciences › Sociology and Political Science › 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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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.
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