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.
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Data mining can be discriminatory from the outset because it determines which data are valuable, which are not, and how much weight they receive.
“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.”
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Chatterjee, S., & Sarkar, S. (2010) · International Conference on Information Systems · Cited by 2 · see citing works
ON ETHICAL AND LEGAL ASPECTS OF DATA MINING
Okur, M. C. (2008) · DergiPark (Istanbul University) · doi:10.19168/jyu.02186 · Cited by 2 · see citing works
Tsompanakis, S. (2014) · Human Biology · Cited by 2 · see citing works
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A Hand to Hand Taxonomical Survey on Web Mining
Sharma, N. V., & Dubey, S. K. (2012) · International Journal of Computer Applications · doi:10.5120/9670-4091 · Cited by 2 · see citing works
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Ethical issues of a smart system to enhance students' attention
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Understanding Real-Virtual Dynamics of Human Behavior from the Action Stream Perspective
Kakihara, M. (2010) · Journal of the Association for Information Systems · Cited by 2 · see citing works
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"A Day in the Life of the Jos": The Design of an Educational Game on Privacy
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Emergent Data Mining Tools for Social Network Analysis
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- 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
- Social Sciences › Safety Research › 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.
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