The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index.
Ethical issues in web data mining
Open accessAbstract
Web mining refers to the whole of data miningand related techniques that are used toautomatically discover and extract informationfrom web documents and services. When used in abusiness context and applied to some type ofpersonal data, it helps companies to builddetailed customer profiles, and gain marketingintelligence. Web mining does, however, pose athreat to some important ethical values likeprivacy and individuality. Web mining makes itdifficult for an individual to autonomouslycontrol the unveiling and dissemination of dataabout his/her private life. To study thesethreats, we distinguish between `content andstructure mining' and `usage mining.' Webcontent and structure mining is a cause forconcern when data published on the web in acertain context is mined and combined withother data for use in a totally differentcontext. Web usage mining raises privacyconcerns when web users are traced, and theiractions are analysed without their knowledge.Furthermore, both types of web mining are oftenused to create customer files with a strongtendency of judging and treating people on thebasis of group characteristics instead of ontheir own individual characteristics and merits(referred to as de-individualisation). Althoughthere are a variety of solutions toprivacy-problems, none of these solutionsoffers sufficient protection. Only a combinedsolution package consisting of solutions at anindividual as well as a collective level cancontribute to release some of the tensionbetween the advantages and the disadvantages ofweb mining. The values of privacy andindividuality should be respected and protectedto make sure that people are judged and treatedfairly. People should be aware of theseriousness of the dangers and continuouslydiscuss these ethical issues. This should be ajoint responsibility shared by web miners (bothadopters and developers), web users, andgovernments.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
In the citing paper
“The process of data mining,4 one of the ways algorithms collect and analyse data [88], can already be discriminatory as a start, because it decides which data are of value, which is of no value and its weight—how valuable it is.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Srivastava, J., Cooley, R., Deshpande, M., & Tan, P. (2000) · ACM SIGKDD Explorations Newsletter · doi:10.1145/846183.846188 · Cited by 2,106
Automatic personalization based on Web usage mining
Mobasher, B., Cooley, R., & Srivastava, J. (2000) · Communications of the ACM · doi:10.1145/345124.345169 · Cited by 1,230
Etzioni, O. (1996) · Communications of the ACM · doi:10.1145/240455.240473 · Cited by 528
Johnson, D. G. (1985) · Cited by 504
Personalization on the Net using Web mining: introduction
Mulvenna, M. D., Anand, S. S., & Büchner, A. G. (2000) · Communications of the ACM · doi:10.1145/345124.345165 · Cited by 371
Privacy protection, control of information, and privacy-enhancing technologies
Tavani, H. T., & Moor, J. H. (2001) · ACM SIGCAS Computers and Society · doi:10.1145/572277.572278 · Cited by 210
Research Issues in Web Data Mining
Madria, S., Bhowmick, S. S., Ng, W. K., & Lim, E. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48298-9_32 · Cited by 205
Toward an Approach to Privacy in Public: Challenges of Information Technology
Nissenbaum, H. F. (1997) · Ethics & Behavior · doi:10.1207/s15327019eb0703_3 · Cited by 110
KDD: The challenge to individualism
Vedder, A. (1999) · Ethics and Information Technology · doi:10.1023/a:1010016102284 · Cited by 99
Mining the Web: Transforming Customer Data into Customer Value
Linoff, G. S., & Berry, M. J. (2002) · Medical Entomology and Zoology · Cited by 86
Flagged first, then by citations
1 of the 23 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
- M.J.A. Berry and G.S. Linoff. Mining the Web: Transforming Customer Data. John Wiley & Sons, New York, 2002.
- R. Clarke. 'Profiling’ and Its Privacy Implications. Privacy Law & Policy Reporter, 1: 128, 1994.
- R. Clarke. Platform for Privacy Preferences: A Critique. Privacy Law & Policy Reporter, 5 (3): 46–48, 1998.
- J.F. Johnson. Immunity from the Illegitimate Focused Attention of Others: An Explanation of our Thinking and Talking about Privacy. In A. Vedder, editor, Ethics and the Internet, pages 49–70. Intersentia, Antwerpen Groningen Oxford, 2001.
- K. Scribbins. Privacy@net, An International Comparative Study of Consumer Privacy on the Internet. Consumers International (http://www.consumersinternational.org/news/press releases/fprivreport.pdf), 2001.
- A. Vedder. Privacy and Confidentiality. Medical Data, New Information Technologies, and the Need for Normative Principles Other than Privacy Rules. Law and Medicine, 3: 441–459, 2000.
Cited by
Sorted by citations
Items 101–143 of 143
The privacy in the time of the internet
Pontual, M., Gampe, A., Chowdhury, O., Kone, B., Ashik, M. S., & Winsborough, W. H. (2012) · ACM Conference on Data and Application Security and Privacy (CODASPY) · doi:10.1145/2133601.2133618 · Cited by 1
Ertz, M., & Graf, R. (2015) · Journal of Applied Business Research (JABR) · doi:10.19030/jabr.v31i5.9395 · Cited by 1
Distributive Information Justice (And Its Limits)
Johnson, J. A. (2018) · Public administration and information technology · doi:10.1007/978-3-319-70894-2_5 · Cited by 1
Data Security and Privacy of Individuals in Data Mining: A Critical Analysis of Data Mining in India
Chakraborty, N. (2020) · International Journal Of Data Mining And Emerging Technologies · doi:10.5958/2249-3220.2020.00001.4 · Cited by 1
GÜLEÇ, E., & Oktay, K. (2017) · AYDIN GASTRONOMY · doi:10.17932/iau.gastronomy.2017.016/gastronomy_v07i1002 · Cited by 1
Innovation in Tourism Service Development in Budapest
Rátz, T. (2016) · Advances in hospitality, tourism and the services industry (AHTSI) book series · doi:10.4018/978-1-5225-2016-0.ch010 · Cited by 1
Luzak, J. (2017) · Springer eBooks · doi:10.1007/978-3-319-49843-0_2 · Cited by 1
If You Find Yourself in a Hole, Stop Digging
Charlesworth, A., & Tonkin, E. L. (2016) · Elsevier eBooks · doi:10.1016/b978-1-84334-749-1.00003-2 · Cited by 1
Role of Pre-processing in Textual Data Fusion: Learn From the Croydon Tram Tragedy
Osman, M. H. B., & Kaewunruen, S. (2018) · Frontiers in Built Environment · doi:10.3389/fbuil.2018.00030 · Cited by 1
Data Security and Privacy of Individuals in Data Mining: A Critical Analysis of Data Mining in India
(2020) · Medico-Legal Update · doi:10.37506/mlu.v20i4.1841 · Cited by 1
Emergent Data Mining Tools for Social Network Analysis
Murthy, D., Gross, A., & Takata, A. (2013) · Advances in data mining and database management book series · doi:10.4018/978-1-4666-4213-3.ch003 · Cited by 1
Metaphors and Models for Data Mining Ethics
Danielson, P. A. (2009) · IGI Global eBooks · doi:10.4018/978-1-60566-058-5.ch109 · Cited by 1
Observing and Recommending from a Social Web with BiasesPreprint
Staab, S., Stalla-Bourdillon, S., & Carmichael, L. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1604.07180 · Cited by 2
Public Service Broadcasters and User Profiles
Sørensen, J. K. (2007) · Cited by 1
Inequalities Beyond the Average Man
Burnazoglu, M. (2023) · doi:10.33540/1388 · Cited by 1
Zero Knowledge Bi-Party Computation Using Oblivious Transfers for Recommender SystemsPreprint
Rajagopalan, A., Singh, K., Jayashrri, B., & John, A. E. (2024) · Research Square · doi:10.21203/rs.3.rs-3228844/v5 · Cited by 1
DE NOUVELLES DIMENSIONS À L’AUTO-APPRENTISSAGE DANS UN ENVIRONNEMENT D’APPRENTISSAGE EN RÉSEAU
Fournier, H., & Kop, R. (2014) · Canadian Journal for the Study of Adult Education · doi:10.56105/cjsae.v26i1.3028
The Use of New Technologies for the Collection of Statistical Information in Romania
Marian, A. V., Irina, P. A., & Mihaela, M. L. (2013) · RePEc: Research Papers in Economics
Ertz, M. (2015) · International Journal of Electronic Commerce Studies · doi:10.7903/ijecs.1398
Personalization of information delivery based on web mining and DNA classification
Santos, M. F., & Amado, J. (2009) · WIT transactions on information and communication technologies · doi:10.2495/data090041
Evolución y tendencias actuales de los Web crawlers
Sarmiento, F. I. C., & Salinas, S. O. (2013) · Ingeniería · doi:10.14483/udistrital.jour.reving.2013.2.a02
“I always feared the bell”: a qualitative, textual analysis of www.bullying.org
Cartwright, B. (2010) · Summit (Simon Fraser University)
The Collective Experience of Empathic Data Systems
Bernardet, U., Makridis, M., Daras, P., Olbrich, E., & Pizzi, D. (2011)
Blogforschung: Der ,Computational Turn‘
Bruns, A., & Burgess, J. (2013) · Oldenbourg Wissenschaftsverlag eBooks · doi:10.1524/9783486755732.135
Law Data Science and Ethics: the CRIKE Approach
Castano, S., Falduti, M., Ferrara, A., & Montanelli, S. (2019) · Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)
Hamza, M. A. (2018) · Springer eBooks · doi:10.1007/978-3-319-31816-5_3021-1
Relevance of ethics in e-Government: an analysis of developments in the WWW era
Kaisara, G., & Pather, S. (2010)
Innovation in Tourism Service Development in Budapest
Rátz, T. (2020) · IGI Global eBooks · doi:10.4018/978-1-7998-2469-5.ch034
Educational Big Data and the Promise of Social Media
(2018) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-5225-5161-4.ch005
Modelos e técnicas para detecção de ameaça de estereótipo de gênero em ambientes educacionais online
dos Santos, J. J. (2022) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.55.2022.tde-01032023-144052
Hamza, M. A. (2022) · Springer eBooks · doi:10.1007/978-3-030-66252-3_3021
Zero Knowledge and Oblivious Ads RecommendationPreprint
Rajagopalan, A., Singh, K., Jayashrri, B., & John, A. E. (2023) · Research Square · doi:10.21203/rs.3.rs-3228844/v1
Zero Knowledge and Oblivious Ads RecommendationPreprint
Rajagopalan, A., Singh, K., Jayashrri, B., & John, A. E. (2023) · Research Square · doi:10.21203/rs.3.rs-3228844/v2
Zero Knowledge Bi-Party Computation Using Oblivious Transfers for Recommender SystemsPreprint
Rajagopalan, A., Singh, K., Jayashrri, B., & John, A. E. (2024) · Research Square · doi:10.21203/rs.3.rs-3228844/v3
Zero Knowledge Bi-Party Computation Using Oblivious Transfers for Recommender SystemsPreprint
Rajagopalan, A., Singh, K., Jayashrri, B., & John, A. E. (2024) · Research Square · doi:10.21203/rs.3.rs-3228844/v4
Disentangling (Cyber)Security from the Privacy Debate in the IoT
Chiara, P. G. (2024) · Law, governance and technology series · doi:10.1007/978-3-031-67663-5_3
(2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-7979-0.ch001
(2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-7979-0.ch010
Jafari, J., Karlgren, K., Moonaghi, H. K., Habibi, M. R. M., Eslami, S., Masiello, I., & Bonacina, S. (2025) · doi:10.2196/preprints.78903
Kirilenko, A. (2025) · Springer texts in social sciences · doi:10.1007/978-3-031-89689-7_16
Jafari, J., Karlgren, K., Moonaghi, H. K., Habibi, M. R. M., Eslami, S., Masiello, I., & Bonacina, S. (2026) · JMIR Human Factors · doi:10.2196/78903
Li, C., Chen, S., & Zhou, F. (2026) · Journal of China Tourism Research · doi:10.1080/19388160.2026.2740810
Metadata
- Authors
- van Wel, L., & Royakkers, L.
- Affiliations
- Eindhoven University of Technology (NL)
- Corresponding author
- Royakkers, Lambèr
- ORCID
- Royakkers, Lambèr
- Venue
- Ethics and Information Technology
- Published
- 2004-06
- Volume
- 6
- Issue
- 2
- Pages
- 129-140
- ISSN
- 1388-1957 (ISSN-L)
- 1572-8439
- OpenAlex
- W2149394571
- Cited by
- 143
- References
- 23
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 8 · 2023: 5 · 2022: 8 · 2021: 2 · 2020: 11 · 2019: 10 · 2018: 9 · 2017: 7 · 2016: 14 · 2015: 10 · 2014: 12 · 2013: 9 · 2012: 8
- FWCI
- 7.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Ethics and Information Technology (publishedVersion, public-domain)
- TU/e Research Portal (publishedVersion, other-oa)
- TU/e Research Portal (submittedVersion)
- TU/e Research Portal (submittedVersion, other-oa)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
- Keywords
- web mining, ethics, privacy, individuality, web content mining, web structure mining, web usage mining, customer profiling, data protection, shared responsibility, fair treatment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review