10 Jahre Web Science Ein Blick auf die nächsten 10 Jahre

http://www.webscience.org/webscience10/tv-channel-webscience10/

Steffen Staab

Chair of WSTNetWAIS Univ. of Southampton

WeST Univ. of Koblenz-Landau

Wolfgang Nejdl

L3SLeibniz Universität

Hannover

Nikolaus Forgó

L3SLeibniz Universität

Hannover

World Wide WebWork

Dating17% marriages in US due to

online dating

Traveling

Learning

Leisure

ScienceOpen access papers cited

more often 11:7

https://flic.kr/p/F37KoU

Web Science Network of Laboratories

Wendy Hall - CeBIT 2013

10 Jahre Web Science Research Initiative

Keynotes• Ricardo Baeza-Yatest, Yahoo!• Andrew Tomkins, Google• Daniel Olmedilla, Facebook• Jure Leskovec, Stanford & Pinterest• Daniel Miller, UCL, ERC Grant „Social

Network Sites and Social Science”• Helen Margetts, Oxford Internet

InstitutePanels10 Years of Web ScienceComputational Social SciencePrivacy and Internet GovernanceEntrepreneurship Track

8th ACM Web Science Conference 2016 22.-25. Mai 2016 in Hannover

http://websci17.org/ Troy, NY, USA, 26-18 June 2017

1. Mai 2023 8Thomas Risse

WWSSS – WSTNet Web Science Summer School

Koblenz 2016 St. Petersburg 2017Next one: St. Petersburg, July 2017

Web Sciencethe grand challenge Web Science Observatory

Researchers around the world gathering and sharing data and evidence

Sharing tools, methods and techniques

Web Science CollaboratoriesLongitudinal studies

Wendy Hall - CeBIT 2013

Spam

Attack on Copts

Gun running from Sudan

Verlieren wir die Vergangenheit des Web?

ALEXANDRIA (ERC Advanced Grant, 2.5 Mio. Euro)World Wide Web – Digitales Erbe der

Gesellschaft Was bleibt vom Web in 100 / 1000 Jahren, wenn

es niemand bewahrt? Datensammlung durch Deutsche

Nationalbibliothek, British Library, Internet Archive, u.a.

Suche und Analyse durch ALEXANDRIA Entwicklung neuer Modelle und Algorithmen,

die es ermöglichen, nicht nur auf die Gegenwart, sondern auch auf die Vergangenheit des Web zuzugreifen

Semantische und zeitliche Suche nach Rudolph Giuliani

1997

2000

2006

2014

Mayoral Campaign

Mayoral Campaign

Mayoral Campaign 9/11

Post politics endeavours

Senate, Cancer, Allegations

Num

ber o

f Doc

umen

ts

Mayor

SoBigData - Social Mining & Big Data EcosystemBig Data Analytics & Social

Mining as a tool to measure, understand and possibly predict human behavior

Research infrastructure (RI) for ethic-sensitive scientific discoveries and advanced applications of social data mining to the various dimensions of social life, as recorded by “big data”.

Integrating key national infrastructures and centers of excellenceCNR & Uni Pisa (SoBigData.it)Social DataBig Data Analytics and Social Mining ServicesUni Hannover/L3S (Alexandria)German Web Archive (80 TB)Services and expertise on Web ArchivesUni Sheffield (GATE Cloud)Natural language processing and text miningFhG IGD & FhG IAISInformation Visualization and Visual AnalyticsAalto UniversityData, services and competences on

social network analysisUni Tartu (E-Gov.data)Estonian e-government and ehealth dataETH Zürich: Search engine for Open Data

1st Call SoBigData-funded Transnational Access Forschungsaufenthalte (bis zu 2 Monate) bei SoBigData

Partnern zu den Themen:

* City of Citizens * Well-being and Economy * Societal Debates * Migration Studies

Tracking User Behavior

About 75% of websites track user behavior across sites.[Zhonghao Yu et al. WWW16]

Bias in the Data

Bias in the Algorithm

Bias in the Social Machine

Web

Obs

erva

tory

Example:

Notable women described by „has

husband“

Notable men not described by „has wife“

Observing Bias in Social Networks(Lerman et al 15)

Part of US election/Brexit misprediction?

Check out: http://www.kdnuggets.com/2016/07/big-data-bible-codes-bonferroni.html

„Torture the data, and it will confess to anything.“

Ronald Coase, economist, Nobel Prize Laureate.

Bonferroni Effect

Total Information Awareness –

A recipe for disaster

DemocraZyW

ashington Post

http://wpo.st/5W

dH2

Reality Sensing, Mining and Augmentation for Mobile Citizen-eGovernment Dialogue

Web for Everyone

Uber, the world‘s largest taxi company, owns no vehicles. Facebook ...most popular media owner, creates no content. Alibaba, the most valuable retailer, has no inventory. Airbnb... largest accommodation provider, owns no real estate.

+ Artificial Intelligence

+ Trust

Data Oligopolists

Uber Whom do you take a ride with?- the right picture – also for online dating ...

Facebook Which source do you trust?- rumor checks change the trust ....

Alibaba Whom do you trust to buy from?- others‘ ratings

Airbnb Whom do you want for a sleepover?

Vertrauen

Das Recht

27

Vor langer Zeit …

1984 won‘t be like 1984

Quelle: http://oldcomputers.net/macintosh.html

1981 (1987) – Volkszählung

Seither …

Computer überall

Trends

Cloud Mobile

Social Big

Trends

Gratismentalität Kontrollverlust

If the product is for free, you are the product

Zwei große Erzählungen

(1)

Digitale Agenda (2010 ff.)

Diagnose30% of Europeans have still never used the internet; Europe has only 1% penetration of fibre-based high-speed

networks whereas (Japan 12%, South Korea is at 15%)EU spending on ICT research and development stands at only

40% of US levels.Four times as many legal music downloads in the US as in

the EU

Europa ist hinten.

(2)

Europeans have a long tradition of declaring abstract privacy rights in theory that they fail to enforce in

practice.

Neuordnung des europäischen (Datenschutz)rechts

47

01/2012

Zentrale Versprechen

One Continent, one Law

Internetfit

Aber

Diskussion im Parlament

Albrecht: 350 Änderungsvorschläge

3.133 Änderungsanträge

Aber

ThemenBoundless Informant

Genie

XKeyScore…

FAIRVIEW

Tempora

BULLRUN

Mail Isolation Control

and Tracking

PRISM

Und heute …

54

https://isc.sans.edu/diary/Port+7547+SOAP+Remote+Code+Execution+Attack+Against+DSL+Modems/21759

55

In particular, Austria is experiencing a strong increase in TR-069 traffic within the last 24 hours.

Ergebnis

04/2016

Broken Law

Delay

Unclarity/Complexity

Speed

Irrelevance

Fragmentation

Web Science – The next 10 Years

Social challenges Discrimination Trust Moral AI

Legal challenges regulation of

infrastructurefor economic competition

tracking everywhere

Political challenges Misinformation Participation Internet governance

Technical challenges Artificial Intelligence Security ...