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A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
A methodology for internal Web ethics
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A methodology for internal Web ethics

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Presentation by Michalis Vafopoulos, Petros Stefaneas, I. Anagnostopoulos and Kieron O'Hara at PhiloWeb 2012 (WWW 2012), Lyon, France.

Presentation by Michalis Vafopoulos, Petros Stefaneas, I. Anagnostopoulos and Kieron O'Hara at PhiloWeb 2012 (WWW 2012), Lyon, France.

Published in: Technology, Spiritual
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  • 1. A methodology for internal Web ethics M. Vafopoulos, P. Stefaneas, I. Anagnostopoulos, K. OHara Philoweb, WWW2012 WSSC: “webscience.org/2010/E.4.3 Ethics in the Web”
  • 2. Research questionswhat changes need to be incorporatedin the Web to best serve humanity?Can philosophical theories help in thisdirection? How? 2
  • 3. Outline① Hypotheses② Being, space & time in the Web③ Hayek‟s freedom④ 3-level analysis – The Technological Web – The Contextualized Web – The Economic Web⑤ Results & discussion 3
  • 4. HypothesesWeb:• ethically-relevant social machine• magma of Users and codestart from the Webassume a self-contained Web orthe “manna from heaven” hypothesis(internal ethics analysis) 4
  • 5. “manna from heaven” hypothesis• Web is the only existing system• human beings are communicating & working solely through it• a compassionate „God‟ provides the necessary quantity of „manna‟, fulfilling all human needs, with no cost & effort• Web being, space & time 5
  • 6. Being, space & time in the Web• A being exists if and only if there is a communication channel linking to it• Web beings communicated through the Web• Web space: the Web being‟s URI, incoming & outgoing links• Web time: visiting durations 6
  • 7. URI minimal description of invariant elements in communication through the Web borderline, interlocutor & fingerprint of Web being enables transformation from digital to Web directly connected to existence (birth, access, navigate, edit & death of a Web being) other characteristics of Web beings may change in time a change in URI means the death of existing & birth of a new Web being 7
  • 8. The Web space• a division of position & place created by the links among Web beings• each Web being occupies a specific locus in the Web network• a 3d “geographic coordinate system”• heterogeneous• many “gravity” & relative “distance” metrics• Pagerank initially build on Web space 8
  • 9. The Web time • a series of choices (visits) in the Web space (Bergsonian durations)• visiting selections attach semantic meaning• casual relationships among Web beings• counting: Log file as a generic common property & co-operation in the Web 9
  • 10. The Web timeDurations are becoming:Discoverable, Observable, TraceableProcessable, Massiveincreases material dimension of networksenables reconstruction of consciousness & memory of Users 10
  • 11. How to analyze the Web as an ethical space? 11
  • 12. Freedom Iothe source of valueso“freedom-coercion” tradeoff –more options to solve problems collectively & innovate, but –some of these options may be used in ways that cause coercion 12
  • 13. Freedom II• Theories:how to construct a system that selects,with minimum social cost which positiveoptions to sacrifice in order to minimizecoercion (or the dual problem)• start with Hayek’s approach because confronts with most Web characteristics 13
  • 14. Hayek’s freedom I• State posses the monopoly to enforce coercive power through General Rules• Personal Sphere & Property counterweight state power• General Rules are enforced equally & describe the borderlines between State & Personal Sphere• Property is a basic realization of General Rules 14
  • 15. Hayek’s freedom II• Competition is possible by the dispersion of Property• Mutually advantageous collaboration is based on Competition in service provision• effective anti-monopolistic policy: require from the monopolist (including the state) to treat all customers alike• Individuals should be responsible & accountable for their actions 15
  • 16. 3-level analysisApply theory of freedom according to Web‟sevolution from plain s/w to ecosystem• The Technological Web – Internet infrastructure & Web software• The Contextualized Web – Sets of rules enforced through trust• The Economic Web – Economic contexts 16
  • 17. The Web as a space of Freedom Freedom Coercionfree access & inter-connection of any badware applications (e.g. computer-compatible software/device zombies) Internet traffic censorship (e.g.“Snooping”) inadequate quality of transmission Web softwarefreely navigate, create and update badware-infected Web BeingsWeb Beings and links central control & censoring of trafficuniversality, openness & separation of “walled gardens” in SN (privacy threats &layers in engineering, editing, fragmentation)searching & navigating manipulation of indexing & searching (e.g. spamdexing)establish specific contexts in order to un-trustworthy technologies, business &form beliefs that some Users/Web governmentsbeings are trustworthy Contextualized badware & malicious representations Web Economic concentration of power in a minority of Usersno barriers to economize Web inability of some people to benefit from the Web economy
  • 18. Personal sphereIP address: can only be processed forcertain reasonso Web: log file common ownership by design (admin & navigator)o architectural element of co-operation o Admin: direct access o Navigator: not straightforward accesso not proper practices for collecting traffico should be further analyzed 18
  • 19. General rulesTreating all Internet Users, WebNavigators & Editors equally• profile customization• open technological standards• efficient business incentives 19
  • 20. The contextualized Web• Web 2.5: not only User-Generated Content, but context• communication is central to establishing trust (Habermas)• rich connectivity of the Web is bound into its function• antitrust & coercion= the prices for widespread & beneficial trust 20
  • 21. The contextualized Webinternal Web ethics:• ensure not that antitrust happens, but• that it is outweighed by beneficial trust to as great a degree as possible consistent with Hayekian notions of freedom 21
  • 22. Challenges in the economic Web Iobtain the right balance between:• open access and processing of online information (e.g. socially aware cloud storage, g-work) &• provision of incentives to produce content & to develop network infrastructure 22
  • 23. Challenges in the economic Web II• accelerate socio-economic development by facilitating life- critical functions in the developing world (e.g. W3F)• enable transparency & participation in the developed world (e.g. Open Data) 23
  • 24. Challenges in the economic Web IIIo“Link economy”o“App economy”oexcessive market power in Search Engine market 24
  • 25. Results I• centralization of traffic & data control• rights on visiting log file• custom User profiles• interplay among function, structure & moral valuesare directly connected to the quality offreedom in the Web 25
  • 26. Results IIissues about freedom in lower levels ofthe Web (i.e. technology) have crucialimpact on the subsequent levels ofhigher complexity (i.e. context,economy) 26
  • 27. Next stepso involve more theories & disciplineso relax assumptionso connect to engineering issues (e.g. TAG)o Webizing humanity & humanizing Web 27
  • 28. Webizing humanity & humanizing WebWeb:• emerged not as a business project with hierarchical structures but• as a creative & open space of volunteers outside traditional market and pricing• markets would have never invested such amounts in labor costs to develop it• temporal disconnection between effort & rewards• symbiosis between non-financial and financial incentives 28
  • 29. Webizing humanity – humanizing webIn economyo incorporate in the entire economy, the best of the symbiosis between virtues and economic incentives in the Webo the Web has still many lessons to take from the long-living market mechanisms on how to best orchestrate effort and reward in society 29
  • 30. Role of philosophyWhat society can learn from the Web?What can teach it in order to become more useful? 30
  • 31. Thank you!• More in vafopoulos.orgReferences• Being, space and time in the Web. Metaphilosophy (forthcoming).• The Web economy: goods, users, models and policies. Foundations and Trends in Web science (forthcoming). 31
  • 32. appendix 32
  • 33. The Web time“time of social systems” is• indeterministic,• Heterogeneous• irreversible• built on the Einsteinian time of physical systems. 33
  • 34. The case of Net Neutrality• QoS issues• Technological approach (e.g. Flow- Aware Networking)• generic freedom-coercion trade-offs are useful in framing the feasibility space but incomplete in treating more specific cases in practice (like NN) 34
  • 35. Flow-Aware NetworkingFAN may ensure neutrality along with the awareness of QoScreate an occurrence, upon which the implicit separationwill be performed solely based on the current link status(e.g. dataflow congestion, traffic bottleneck etc.).Therefore, all datagrams are forwarded unconditionally inthe pipeline, but they are also “equal”, subject to beseparated or even dropped when the network tolerancedemands it.The main advantage of FAN-based architectures is that theydifferentiate the data flow, taking into account only thetraffic characteristics of the currently transmittedinformation.Hence, apart from data discrimination, it is not possible tocomprehensively discriminate certain applications, servicesand end-Users. 35
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