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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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Third is the difficulty of ensuring honest reports.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“these systems help people decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“these systems help people decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Reputation systems seek to establish the shadow of the future to each transaction by creating an expectation that other people will look back on it.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Game-theory analysis demonstrates that there are inherent limitations to the effectiveness of reputation systems when participants are allowed to start over with new names [4].”
What the sources say
- Not matchedcites [4] 4. Friedman, E. and Resnick, P. The social cost of cheap pseudonyms; see www.si.umich.edu/~presnick/papers/identifiers/index.html.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A second difficulty in distributing feedback stems from the lack of portability from system to system.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Second, the expectation of reciprocity or retaliation in future interactions creates an incentive for good behavior.”
What the sources say
- Not matchedcites [2] 2. Axelrod, R. The Evolution of Cooperation. Basic Books, New York, 1984.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
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- Probably not a substantial claim. 20
- It may state two separate claims as one. 10
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Despite their theoretical and practical difficulties, it is reassuring that reputation systems appear to perform reasonably well.”
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
- Rests on an assumption: eBay's high rate of successful transactions is attributable to its reputation system.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“At eBay, for example, a stream of buyers interacts with the same seller.They may never buy an item from the seller again, but by sharing their opinions about the seller via the Feedback Forum, they construct a meaningful history of the seller.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“If buyers do behave this way, the sellers' reputations will affect their future sales.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Despite this promise, significant challenges remain in the operating phases of such systems: eliciting, distributing, and aggregating feedback.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“Over time, high-quality sellers would desert the market.Eventually, only the lowest-quality sellers would remain, a dynamic economist George Akerlof memorialized as the”
- Also stated in: § MARC MONGEAU · plain
“market for lemons”
What the sources say
- Not checked — no full text of the sourcecites [1] 1. Akerlof, G. The market for 'lemons': Quality uncertainty and the market mechanism. Quart. J. Econom. 84 (1970), 488-500. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Also stated in: § MARC MONGEAU · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Even then, fear of retaliatory negative feedback or simply a desire to avoid further unpleasant interactions may keep a dissatisfied buyer quiet.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Systems that rely on the participation of large numbers of individuals accumulate trust simply by operating effectively over time.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, sellers with stellar reputations may enjoy a premium on their services; some users may be willing to pay for the security and comfort of high-quality services.”
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In terms of building trust, a boost in the quantity of information compensates for a significant reduction in its quality.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“In particular, newcomers (those with no feedback) should always be distrusted until they have somehow paid their dues, either through an entry fee or by accepting more risk or worse prices while developing their reputations.”
What the sources say
- Not matchedcites [4] 4. Friedman, E. and Resnick, P. The social cost of cheap pseudonyms; see www.si.umich.edu/~presnick/papers/identifiers/index.html.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These simple numerical ratings fail to convey important subtleties of online interactions; for example, Did the feedback come from low-value transactions?What were the reputations of the people providing the feedback?”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Internet services operate on a vastly larger scale”
- Also stated in: § MARC MONGEAU · plain
“than Main Street and permit virtually anonymous interactions.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
- Also stated in: § MARC MONGEAU · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“• Long-lived entities that inspire an expectation of future interaction;”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Today's reputation systems, by contrast, shouldn't work in theory.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“• Use of feedback to guide trust decisions.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“With clear reputation markers, low-quality sellers get lower prices, leaving a healthier market with a variety of prices and quality of service.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Prior to the Internet, such questions were answered, in part, through personal and corporate reputations.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Strangers lack known past histories or the prospect of future interaction, and they are not subject to a network of informed individuals who would punish bad and reward good behavior.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“These interactions can be fun, informative, even profitable.But they also involve risk.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“• Capture and distribution of feedback about current interactions (such information must be visible in the future); and”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The Internet can vastly accelerate and add structure to the process of capturing and distributing information.”
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“One party could blackmail another, threatening to post negative feedback unrelated to actual performance.At the other extreme, in order to accumulate positive feedback, a group of sellers might collaborate and rate one another positively, artificially inflating their individual reputations.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Future buyers, lacking personal histories with particular sellers, may still base their buying decisions on a sufficiently extensive public history.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“When agreeing to be rated is optional (such as when registering as a retailer at bizrate.com), doing so is likely an indication of higher-quality services, even before ratings are available.”
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Even if all reporting were complete and honest, users would find it virtually impossible to utilize the torrents of information they receive on other participants, given the lack of satisfactory summary statistics.”
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Limited distribution of feedback limits its effectiveness; the future casts a shadow on only a single online arena, not on many.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The authors state this as an assumption.
Buyers provide and rely on feedback in reputation systems.
“provide and rely on feedback-isolated interactions take on attributes of long-term relationships.”
The paper relies on this without support.
eBay's high rate of successful transactions is attributable to its reputation system.
“The high rate of successful transactions is attributerd by eBay to its reputation system, called the Feedback Forum.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Resnick et al. (2000) stated that the lack of reputation portability is problematic as ''[l]imited distribution of feedback limits its effectiveness'' (p. 48).”
From In Stars We Trust – A Note on Reputation Portability Between Digital Platforms (2022) · cites this paper as Resnick et al. 2000
The cited source says what the claim attributes to it.
In the citing paper
“The growth of e-auctions and other forms of e-commerce is based, to a considerable degree, on reputation and trust 5-10 .”
From Evolution of indirect reciprocity (2005) · cites this paper as [9]
In the citing paper
“Past research has argued that reputation systems and user-generated reviews may have the primary purpose of allowing users to learn more about each other before engaging in any interactions or transactions, acting as a monitoring and policing system [5,66,67].”
From Digital Identity: The effect of trust and reputation information on user judgement in the Sharing Economy (2018) · cites this paper as [67]
Citations
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
Flagged first, then by citations
Cited by
Sorted by citations
Items 601–700 of 2,164
Reputation rating system based on past behavior of evaluators
Fujimura, K., & Nishihara, T. (2003) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/779928.779981 · Cited by 28
“…NTT Information Sharing Platform Laboratories 1-1 Hikari-no-oka, Yokosuka-shi, Kanagawa, Japan {fujimura, tac}@isl.ntt.co.jp ABSTRACT Many existing rating systems for goods or services simply total the number of good and bad evaluations reported by the consumers when generating the ratings.”
BackgroundArulkumar, V., Jeyakumar, K., Malarmathi, M., et al. (2012) · International Journal of Computer Applications · doi:10.5120/6336-8239 · Cited by 27
The effect of discrete vs. continuous-valued ratings on reputation and ranking systems
Medo, M., & Wakeling, J. R. (2010) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/91/48004 · Cited by 37
Bias and Controversy in Evaluation Systems
Lauw, H. W., Lim, E., & Wang, K. (2008) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2008.77 · Cited by 27
“The problem of protecting an evaluation system against fraudulent behaviors has been well studied in the context of reputation systems [17] in online trading communities, e.”
BackgroundCross-Platform Reputation Generation System Based on Aspect-Based Sentiment Analysis
Boumhidi, A., Benlahbib, A., & Nfaoui, E. H. (2021) · IEEE Access · doi:10.1109/access.2021.3139956 · Cited by 32
Controlling Sourcing Risk in Electronic Marketplaces
Saeed, K. A., & Leitch, R. A. (2003) · Electronic Markets · doi:10.1080/1019678032000067172 · Cited by 27
“It can also offer buyers access to a reputation system based on customer feedback that rates the suppliers on previous customer dealings (Resnick et al. 2000).”
BackgroundConsumers' E-commerce acceptance model: Antecedents of trust and satisfaction constructs
Azam, A., Qiang, P. F., & Abdullah, M. I. (2012) · IEEE Business Engineering and Industrial Applications Colloquium · doi:10.1109/beiac.2012.6226086 · Cited by 29
“In prior research, trust has been viewed through diverse disciplinary lenses and strains: economic [2], social/institutional [3], behavioral/psychological [4], managerial/organizational [5], and technological [6].”
BackgroundTRUST ECONOMY: ASPECTS OF REPUTATION AND TRUST BUILDING FOR SMES IN E-BUSINESS
Deelmann, T., & Loos, P. (2002) · Cited by 27
Scientific Archives in the Age of Digitization
Ogilvie, B. W. (2016) · Isis · doi:10.1086/686075 · Cited by 27
University of South Alabama, Howard, M. C., Hair, J. F., & University of South Alabama (2023) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00084 · Cited by 27
Competitive Collaborative Learning
Awerbuch, B., & Kleinberg, R. (2005) · Lecture notes in computer science · doi:10.1007/11503415_16 · Cited by 27
Trust-based web service selection in virtual communities
Shen, Z., Yu, H., Miao, C., et al. (2011) · Web Intelligence and Agent Systems An International Journal · doi:10.3233/wia-2011-0216 · Cited by 26
“It is natural that users wish to select a web service with a high positive reputation given a collection of web services with similar functionality [7].”
BackgroundModeling recommendation as a social choice problem
Albanese, M., d’Acierno, A., Moscato, V., et al. (2010) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/1864708.1864779 · Cited by 26
“The ranking of agents based on other agents’ input is fundamental to multi-agent systems [7] and it has become a central element of a variety of applications, where the most famous examples are Google’s PageRank [5] and eBay’s reputation system [8].”
BackgroundA reputation pattern for service oriented computing
Pan, L., Meng, X., Zhiqi, S., & Yu, H. (2009) · International Conference on Information, Communications & Signal Processing (ICICS) · doi:10.1109/icics.2009.5397618 · Cited by 27
“Reputation systems provide a way for entities to be able to trust other entities [3].”
BackgroundCooperative communications based on trust model for mobile ad hoc networks
Wang, K., & Wu, M. (2010) · IET Information Security · doi:10.1049/iet-ifs.2009.0056 · Cited by 26
Freeman, D. M. (2017) · International World Wide Web Conference (WWW) · doi:10.1145/3038912.3052706 · Cited by 24
“More generally, our work is related to the wide body of research on peer-to-peer reputation systems [17,23], as practiced for example in online auction houses such as eBay.”
BackgroundLiebe, U., & Beyer, H. (2020) · Journal of Ethnic and Migration Studies · doi:10.1080/1369183x.2019.1710118 · Cited by 27
“1996), ratings of the driver which may lead to a reputation premium and a positive reciprocity effect (Resnick et al. 2000; Diekmann et al. 2014), membership of an automobile club which might signal”
BackgroundEmpathy and Prosociality in Social Agents
Paiva, A., Correia, F., Oliveira, R., Santos, F. P., & Arriaga, P. (2021) · ACM eBooks · doi:10.1145/3477322.3477334 · Cited by 32
Security and Trust in Online Social Networks
Carminati, B., Ferrari, E., & Viviani, M. (2013) · Synthesis lectures on information security, privacy, and trust · doi:10.2200/s00549ed1v01y201311spt008 · Cited by 26
On the inaccuracy of numerical ratings: dealing with biased opinions in social networks
Centeno, R., Hermoso, R., & Fasli, M. (2014) · Information Systems Frontiers · doi:10.1007/s10796-014-9526-1 · Cited by 26
“However, while most of these approaches focus on how to alleviate agents’ tendency to cheat when communicating their opinions (Resnick et al. 2000; Jøsang et al. 2007; Dellarocas 2000), the problem of innacuracy (in terms of subjectivity) has been left aside.”
BackgroundA comparative study of collaboration-based reputation models for social recommender systems
McNally, K., O’Mahony, M. P., & Smyth, B. (2013) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-013-9143-6 · Cited by 27
“Early online reputation systems aggregated information users gave about seller performance and explicitly displayed it as an overall reputation score (Resnick et al, 2000).”
BackgroundInfluentialPrivacy Preserving Online Reputation Systems
Voß, M. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/1-4020-8145-6_20 · Cited by 26
MARKET DECISION MAKING FOR ONLINE AUCTION SELLERS: PROFIT MAXIMIZATION OR SOCIALIZATION
Walczak, S. M., Gregg, D. G., & Berrenberg, J. L. (2006) · Digital Commons - University of South Florida (University of South Florida) · Cited by 26
S-RIP: A Secure Distance Vector Routing Protocol
Wan, T. R., Kranakis, E., & van Oorschot, P. C. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24852-1_8 · Cited by 26
Reputation systems: an axiomatic approachPreprint
Tennenholtz, M. (2004) · arXiv (Cornell University) · doi:10.5555/1036843.1036909 · Cited by 26
Examining the Diffusion of User-Generated Content in Online Social NetworksPreprint
Oh, J., Susarla, A., & Tan, Y. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1182631 · Cited by 26
“There can be several motives for content creation and posting content such as peer recognition (Resnick et al. 2000), self-expression (Raymond 2001) and identity affirmation (Forman et al. 2008).”
Toward Uncertain Business Intelligence: The Case of Key Indicators
Rodríguez, C., Daniel, F., Casati, F., & Cappiello, C. (2010) · IEEE Internet Computing · doi:10.1109/mic.2010.59 · Cited by 25
Reinventing Forgiveness: A Formal Investigation of Moral Facilitation
Vasalou, A., & Pitt, J. V. (2005) · Lecture notes in computer science · doi:10.1007/11429760_11 · Cited by 25
“A number of trust and reputation mechanisms have emerged that operate quantitatively by “collecting, distributing and aggregating feedback about participants’ past behaviors” [21].”
BackgroundH-Trust: A Group Trust Management System for Peer-to-Peer Desktop Grid
Zhao, H., & Li, X. (2009) · Journal of Computer Science and Technology · doi:10.1007/s11390-009-9275-7 · Cited by 25
“Keywords peer-to-peer desktop grid, reputation, trust management, H-index”
GEODAC: A Data Assurance Policy Specification and Enforcement Framework for Outsourced Services
Li, J., Stephenson, B., Motahari‐Nezhad, H. R., et al. (2010) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2010.53 · Cited by 25
From Culture to Connection: Internet Community Studies
Cavanagh, A. (2009) · Sociology Compass · doi:10.1111/j.1751-9020.2008.00186.x · Cited by 25
Sociopsychological trust model for Wireless Sensor Networks
Rathore, H., Badarla, V., & George, K. J. (2015) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2015.09.009 · Cited by 25
Towards trustworthy smart cyber-physical-social systems in the era of Internet of Things
Huang, J., Seck, M., & Gheorghe, A. V. (2016) · International Conference on System of Systems Engineering · doi:10.1109/sysose.2016.7542961 · Cited by 26
“From the perspective of the approaches to trust, models can be categorized as: (1) direct interaction experience based [10], [14]; (2) credential based and policy based [15], [16]; (3) reputation-based [12], [13], [17], [18], [19], [20], which are first developed in information retrieval and eCommerce, and then extend…”
Understanding the Platform Economy: Signals, Trust, and Social Interaction
Hesse, M., Dann, D., Braesemann, F., & Teubner, T. (2020) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2020.631 · Cited by 27
“Research from the domains of economics, information systems, and electronic commerce has studied the role of online reputation for trust-building, realization of transactions, and prices for almost two decades [7], [18], [19].”
BackgroundTrust Revelation in Multiagent Interaction
Braynov, S., & Sandholm, T. (2002) · Cited by 25
The EigenRumor Algorithm for Calculating Contributions in Cyberspace Communities
Fujimura, K., & Tanimoto, N. (2005) · Lecture notes in computer science · doi:10.1007/11532095_4 · Cited by 25
X2Rep: Enhanced Trust Semantics for the XRep Protocol
Curtis, N., Safavi–Naini, R., & Susilo, W. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24852-1_15 · Cited by 25
Trust management for widely distributed systems
Yao, W. (2021) · doi:10.48456/tr-608 · Cited by 25
PACE: an architectural style for trust management in decentralized applications
Suryanarayana, G., Erenkrantz, J. R., Hendrickson, S. A., & Taylor, R. N. (2004) · Working IEEE/IFIP Conference on Software Architecture (WICSA) · doi:10.1109/wicsa.2004.1310705 · Cited by 25
A system for ensuring data integrity in grid environments
Gilbert, A., Abraham, A., & Paprzycki, M. (2004) · International Conference on Information Technology: Coding and Computing (ITCC) · doi:10.1109/itcc.2004.1286494 · Cited by 25
Attacks And Defenses Of Ubiquitous Sensor Networks
Sastry, S., & Roosta, T. G. (2009) · UC Berkeley · Cited by 25
A Trust and Reputation System for IoT Service Interactions
Battah, A. A., Iraqi, Y., & Damiani, E. (2022) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2022.3179875 · Cited by 25
“Often, reputation-based trust computation relies on evidence of past behavior collected from third parties; the evidence’s authenticity is also guaranteed by credentials [4].”
BackgroundBuilding Trust Communities Using Social Trust
Nepal, ., Sherchan, W., & Paris, C. L. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-28509-7_23 · Cited by 24
“It is important to note here that our aim is to use social trust to increase the social value (social capital) rather than punish some members in the community, a strategy prevalent in many reputation based systems [18].”
BackgroundThe Sound of Silence: Mining Implicit Feedbacks to Compute Reputation
Morzy, M., & Wierzbicki, A. (2006) · Lecture notes in computer science · doi:10.1007/11944874_33 · Cited by 24
Incentive Provision and Job Allocation in Social Cloud Systems
Zhang, Y., & van der Schaar, M. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.sup.0513053 · Cited by 24
Information mining in weighted complex networks with nonlinear rating projection
Liao, H., Zeng, A., Zhou, M., Mao, R., & Wang, B.-H. (2017) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2017.03.018 · Cited by 23
Heterogeneity, quality, and reputation in an adaptive recommendation model
Cimini, G., Medo, M., Zhou, T., et al. (2011) · IMT Institutional Repository (IMT School for Advanced Studies Lucca) · Cited by 24
Sybil attacks on identity-augmented Proof-of-Stake
Platt, M., & McBurney, P. (2021) · Computer Networks · doi:10.1016/j.comnet.2021.108424 · Cited by 24
Trust Models in Wireless Sensor Networks: A Survey
Momani, M. (2010) · Communications in computer and information science · doi:10.1007/978-3-642-14478-3_4 · Cited by 24
“Along with the notion of trust, comes that of reputation [37], which is occasionally treated by some authors as trust.”
BackgroundTrust Management and Admission Control for Host-Based Collaborative Intrusion Detection
Fung, C., Zhang, J., Aib, I., et al. (2010) · Journal of Network and Systems Management · doi:10.1007/s10922-010-9176-7 · Cited by 24
“Newcomer attacks occur when a malicious node can easily register as a new user [11].”
BackgroundTaxonomy of Email Reputation Systems
Alperovitch, D., Judge, P., & Krasser, S. (2007) · International Conference on Distributed Computing Systems Workshops · doi:10.1109/icdcsw.2007.78 · Cited by 24
“In this paper, we provide taxonomy that examines the required properties of email reputation systems, identifies the range of approaches, and surveys previous work.”
BackgroundEmotional Labor in the Sharing Economy
Lutz, C., Newlands, G., & Fieseler, C. (2018) · Hawaii International Conference on System Sciences · doi:10.24251/hicss.2018.081 · Cited by 21
“As distributed e-commerce platforms needed to form trust, they reified ‘reputation’ by collecting and displaying feedback ratings as a seemingly objective calculation of reputation within a network [3, 7, 8, 11, 26, 27, 61].”
BackgroundOnline Detection of Shill Bidding Fraud Based on Machine Learning Techniques
Ganguly, S., & Sadaoui, S. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-92058-0_29 · Cited by 24
Zhou, X., Lim, M. Q., & Kraft, M. (2020) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2020.106896 · Cited by 24
“Meanwhile, barely any human intervention is required to manage such a system [6, 7] and it can operate automatically.”
BackgroundEvaluating user reputation of online rating systems by rating statistical patterns
Sun, H., Liang, K.-P., Liao, H., et al. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.106895 · Cited by 24
Trust-orBAC: A Trust Access Control Model in Multi-Organization Environments
Toumi, K., Andrés, C. G., & Cavalli, A. R. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-35130-3_7 · Cited by 24
“These parameters are the most relevant parameters [16,1,5,12,15,19] for evaluating the trust.”
BackgroundA Security Ontology with MDA for Software Development
Kang, W., & Liang, Y. (2013) · International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) · doi:10.1109/cyberc.2013.20 · Cited by 24
Cooperative and Reliable Packet-Forwarding on Top of AODV
Anker, T., Dolev, D., & Hod, B. (2006) · International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) · doi:10.1109/wiopt.2006.1666450 · Cited by 24
“In a dynamic network or a large area with a local rating exchange, the long-living property of a reputation system [32] may not be applied.”
BackgroundAlgorithms and incentives for robust ranking
Bhattacharjee, R., & Goel, A. (2007) · doi:10.5555/1283383.1283428 · Cited by 24
Strategy proof trust management in wireless ad hoc network
Sun, H., & Song, J. (2004) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece.2004.1349713 · Cited by 24
Collaboration of untrusting peers with changing interests
Awerbuch, B., Patt-Shamir, B., Peleg, D., et al. (2004) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/988772.988789 · Cited by 24
The Design of Online Auctions: Business Issues and Current ResearchPreprint
Pinker, E. J., Seidmann, A. A., & Vakrat, Y. (2002) · SSRN Electronic Journal · doi:10.2139/ssrn.296253 · Cited by 24
Clauß, S., Schiffner, S., & Kerschbaum, F. (2013) · doi:10.1145/2484313.2484361 · Cited by 23
“Many Internet applications integrate reputation systems [22].”
Security for Resource Selection in Grid Computing Based On Trust and Reputation Responsiveness
Banu, W. (2008) · Cited by 23
Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection
Yu, J., Wang, K., Li, P., Xia, R., Guo, S., & Guo, M. (2017) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2017.2761386 · Cited by 23
Privacy and Liveliness for Reputation Systems
Schiffner, S., Clauß, S., & Steinbrecher, S. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-16441-5_14 · Cited by 23
OverCourt: DDoS mitigation through credit-based traffic segregation and path migration
Du, P., & Nakao, A. (2010) · Computer Communications · doi:10.1016/j.comcom.2010.09.009 · Cited by 23
Whither the Experts? Social Affordances and the Cultivation of Experts in Community Q&A Systems
Welser, H. T., Gleave, E., Barash, V., et al. (2009) · doi:10.1109/cse.2009.254 · Cited by 23
Trust-Based Access Control for Privacy Protection in Collaborative Environment
Li, M., Wang, H., & Ross, D. G. (2009) · IEEE International Conference on e-Business Engineering (ICEBE) · doi:10.1109/icebe.2009.66 · Cited by 23
Trust and Distrust in Adaptive Inter-enterprise Collaboration Management
Ruohomaa, S., & Kutvonen, L. (2010) · Journal of theoretical and applied electronic commerce research · doi:10.4067/s0718-18762010000200008 · Cited by 23
A reputation-based model for mobile agent migration for information search and retrieval
Zuo, Y., & Liu, J. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.04.002 · Cited by 23
Reputation-Based Trust Management in Peer-to-Peer Systems: Taxonomy and Anatomy
Mekouar, L., Iraqi, Y., & Boutaba, R. (2009) · Springer eBooks · doi:10.1007/978-0-387-09751-0_24 · Cited by 23
“Trust systems create a platform between different parties to learn from each other and build trust [19, 47].”
BackgroundBryson, M., & MacIntosh, L. B. (2010) · International Journal of Qualitative Studies in Education · doi:10.1080/09518390903447150 · Cited by 26
“There is, then, a new role for strangers in the networked economies of online life, and this new role attached to strangers and strangeness is not one of neutrality (Resnick et al. 2000).”
BackgroundI-TRUST: investigating trust between users and agents in a multi-agent portfolio management system
Tang, T. Y., Winoto, P., & Niu, X. (2003) · Electronic Commerce Research and Applications · doi:10.1016/s1567-4223(03)00039-5 · Cited by 22
How to exploit ontologies in trust negotiation
Leithead, T., Nejdl, W., Olmedilla, D., Seamons, K. E., Winslett, M., Yu, T., & Zhang, C. C. (2004) · Cited by 22
Incentive compatible ranking systems
Altman, A., & Tennenholtz, M. (2007) · Adaptive Agents and Multi-Agents Systems · doi:10.1145/1329125.1329227 · Cited by 23
“Incentive Compatible Ranking Systems Alon Altman Faculty of Industrial Engineering and Management Technion Israel Institute of Technology Haifa 32000, Israel alon@vipe.technion.ac.il ABSTRACT Ranking systems are a fundamental ingredient of multi-agent environments and Internet Technologies.”
BackgroundReputation, Trust, and Rebates: How Online Auction Markets Can Improve Their Feedback MechanismsPreprint
Li, L. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1120881 · Cited by 23
Trust management for service migration in Multi-access Edge Computing environments
Le, V. T., Ioini, N. E., Barzegar, H. R., & Pahl, C. (2022) · Computer Communications · doi:10.1016/j.comcom.2022.07.039 · Cited by 21
Reputation Management for Composite Services in Service-Oriented Systems
Nepal, ., Malik, Z., & Bouguettaya, A. (2011) · International Journal of Web Services Research · doi:10.4018/jwsr.2011040102 · Cited by 22
A User Reputation Model for a User-Interactive Question Answering System
Chen, W., Zeng, Q., & Wenyin, L. W. L. (2006) · doi:10.1109/skg.2006.16 · Cited by 22
A system for scalable and reliable technical-skill testing in online labor markets
Christoforaki, M., & Ipeirotis, P. G. (2015) · Computer Networks · doi:10.1016/j.comnet.2015.05.020 · Cited by 22
“Reputation systems are widely used for instilling trust among the participants [4, 5].”
BackgroundRestaurant social media usage in China
Ghiselli, R. F., & Ma, J. (2015) · Worldwide Hospitality and Tourism Themes · doi:10.1108/whatt-03-2015-0014 · Cited by 22
A juxtaposition of social influences
Walther, J. B., Tong, S. T., DeAndrea, D. C., Carr, C. T., & Heide, B. L. V. D. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9781139042802.009 · Cited by 22
Dynamic Self-moderation in a Corporate Wiki to Improve Participation and Contribution Quality
Dencheva, S., Prause, C. R., & Prinz, W. (2011) · Springer eBooks · doi:10.1007/978-0-85729-913-0_1 · Cited by 22
Fung, C., Zhang, J., & Boutaba, R. (2012) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2012.051712.110124 · Cited by 22
“2) Newcomer attacks: occur when a malicious peer can easily register as a new user [26].”
BackgroundRating Protocols in Online Communities
Zhang, Y., Park, J., & van der Schaar, M. (2014) · ACM Transactions on Economics and Computation · doi:10.1145/2560794 · Cited by 22
“…and can be classi.ed into personal reciprocation (or direct reciprocity) [Feldman et al. 2004; Habib and Chuang 2006; Ma et al. 2006] and social reciprocation (or indirect reciprocity) [Dellarocas 2005, 2006; Ellison 1994; Friedman and Resnick 2000; Kandori 1992; Resnick et al. 2000].”
BackgroundKu, Y.-C., & Tai, Y. (2013) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2013.605 · Cited by 23
“Retailers must make efforts to manage consumer feedback, because the online feedback of a product will influence consumers’ willingness to make a purchase [28].”
BackgroundReputation-based Trust-Aware Recommender System
Kitisin, S., & Neuman, C. (2006) · doi:10.1109/seccomw.2006.359555 · Cited by 22
Evaluating the credibility of cloud services
Li, Z., Liao, L., LEUNG, H. K. N., et al. (2016) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2016.05.014 · Cited by 22
Enhancing Reputation via Price Discounts in E-Commerce Systems
Xie, H. L., Ma, R. T. B., & Lui, J. C. S. (2018) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3154417 · Cited by 21
“Consequently, the reputation system di ff erentiates sellers in a way that a reputable seller attracts more buyers while a poor-reputation seller discourages buyers [23].”
BackgroundInfluentialThe Relationship Between Electronic Word-of-Mouth and Consumer Engagement: An Exploratory Study
Srivastava, M., Sivaramakrishnan, S., & Saini, G. K. (2020) · IIM Kozhikode Society & Management Review · doi:10.1177/2277975220965075 · Cited by 23
“As pointed out by Resnick, Kuwabara, Zeckhauser, and Friedman (2000, p 47): ‘… simple numerical ratings fail to convey important subtleties of online interactions.”
BackgroundThe Value of a Good Reputation Online: An Application to Art Auctions
Canals-Cerdá, J. J. (2008) · Journal of Cultural Economics · doi:10.1007/s10824-011-9156-0 · Cited by 23
“Resnick et al. (2000) also highlight the importance of this type of feedback mechanism in alleviating the ‘‘lemons’ market’’ problem (Akerlof 1970) that would result if there was no clear distinction of quality across different sellers (see also Houser and Wooders 2005).”
Modeling Reputation as a Time‐Series: Evaluating the Risk of Purchase Decisions on eBay*
Hayne, S. C., Wang, H., & Wang, L. (2015) · Decision Sciences · doi:10.1111/deci.12156 · Cited by 22
Shopbots: A Syntactic Present, A Semantic Future
Fasli, M. (2006) · IEEE Internet Computing · doi:10.1109/mic.2006.134 · Cited by 22
“Reputation systems collate information on vendors by aggregating feedback on past transactions from users (or agents) and then measuring the vendor’s trustworthiness via some means [13].”
BackgroundEigenTrust++: Attack Resilient Trust Management
Fan, X., Liu, L., Li, M., et al. (2012) · IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom) · doi:10.4108/icst.collaboratecom.2012.250420 · Cited by 22
“By collecting, distributing and aggregating the feedbacks about a participant’s past behaviors, the reputation trust metrics can help participants to decide whom to trust, encourage trustworthy behavior, and deter participation by those who are unskilled or dishonest [10] [18].”
BackgroundSocial preferences? Google Answers!
Regner, T. (2014) · Games and Economic Behavior · doi:10.1016/j.geb.2014.01.013 · Cited by 21
“(Resnick et al., 2000) In order to test the impact of reputation concerns on the tipping behaviour we clustered the data by the amount of questions a user posted.”
A Trust Model for Competitive Cloud Federations
Messina, F., Pappalardo, G., Rosaci, D., et al. (2014) · ... International Conference on Complex, Intelligent and Software Intensive Systems · doi:10.1109/cisis.2014.67 · Cited by 21
“multidimensional nature (for an overview see [12], [21]–[23]).”
BackgroundCarr, C. T., Zube, P., Dickens, E., Hayter, C., & Barterian, J. A. (2012) · Communication Education · doi:10.1080/03634523.2012.724535 · Cited by 22
“…as their foci and includes user-generated statements regarding a target individual (Walther, Van Der Heide, Westerman, & Tong, 2008), system-generated amalgamations of user feedback such as rating systems (Lampe, 2006), and metareviews of reviewers (Resnick, Kuwabara, Zeckhauser, & Friedman, 2000).”
BackgroundChen, S., Wang, G., Yan, G., et al. (2016) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.3901 · Cited by 21
“To handle trustworthiness issues of large-scale open and distributed systems, a trust inference scheme has been proposed to establish trust among nodes [3].”
BackgroundOn the Volatility of Online Ratings: An Empirical Study
Leberknight, C. S., Sen, S., & Chiang, M. (2012) · Lecture notes in business information processing · doi:10.1007/978-3-642-29873-8_8 · Cited by 21
Metadata
- Authors
- Resnick, P., Kuwabara, K., Zeckhauser, R., & Friedman, E.
- Affiliations
- University of Michigan (US)
- Harvard University (US)
- Rutgers, The State University of New Jersey (US)
- Venue
- Communications of the ACM
- Published
- 2000-12
- Volume
- 43
- Issue
- 12
- Pages
- 45-48
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2337430557
- Cited by
- 2,190
- References
- 7
- Citations by year
- 2026: 38 · 2025: 32 · 2024: 37 · 2023: 33 · 2022: 36 · 2021: 52 · 2020: 58 · 2019: 66 · 2018: 66 · 2017: 87 · 2016: 87 · 2015: 93 · 2014: 110 · 2013: 111 · 2012: 134
- FWCI
- 145.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Communications of the ACM (publishedVersion)
- Funders
- National Science Foundation (9977999)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Access Control and Trust
- Physical Sciences › Computer Science › Information Systems › Expert finding and Q&A systems
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- reputation systems, online trust, online interaction, e-commerce, peer reputation
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