Networks of control: a report on corporate surveillance, digital tracking, big data & privacy
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Wien
facultas
2016
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext Inhaltsverzeichnis Klappentext |
| Beschreibung: | Literaturverzeichnis: Seite 153-165 |
| Beschreibung: | 165 Seiten Illustrationen, Tabellen 23 cm x 15.3 cm |
| ISBN: | 9783708914732 3708914732 |
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Datensatz im Suchindex
| _version_ | 1804176766103715840 |
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| adam_text | Contents
Preface ...........-.......-.....-..........................................................——.....7
1. Introduction......................................—.............................................9
2. Analyzing Personal Data..........................................................-.............11
2.1 Big Data and predicting behavior with statistics and data mining...........................11
2.2 Predictive analytics based on personal data: selected examples ............................13
2.2.1 The Target example: predicting pregnancy from purchase behavior....................14
2.2.2 Predicting sensitive personal attributes from Facebook Likes.........................14
2.2.3 Judging personality from phone logs and Facebook data................................16
2.2.4 Analyzing anonymous website visitors and their web searches........................... 19
2.2.5 Recognizing emotions from keyboard typing patterns...................................20
2.2.6 Forecasting future movements based on phone data.....................................20
2.2.7 Predicting romantic relations and job success from Facebook data.....................21
2.3 De-anonymization and re-identification.....................................................21
3. Analyzing Personal Data in Marketing, Finance, Insurance and Work................................24
3.1 Practical examples of predicting personality from digital records...........................25
3.2 Credit scoring and personal finance........................................................28
3.3 Employee monitoring, hiring and workforce analytics........................................31
3.4 Insurance and healthcare...................................................................35
3.5 Fraud prevention and risk management.......................................................38
3.6 Personalized price discrimination in e-commerce............................................41
4. Recording Personal Data - Devices and Platforms.................................................45
4.1 Smartphones, mobile devices and apps - spies in your pocket?...............................46
4.2.1 Data abuse by apps...................................................................»48
4.2 Car telematics, tracking-based insurance and the Connected Car.......................... 52
4.3 Wearables, fitness trackers and health apps - measuring the self.......................... 58
4.3.1 A step aside - gamification, surveillance and influence on behavior..................»60
4.3.2 Example: Fitbit s devices and apps...................................................62
4.3.3 Transmitting data to third parties...................................................64
4.3.4 Health data for insurances and corporate wellness....................................65
4.4 Ubiquitous surveillance in an Internet of Things?..............................................69
4.4.1 Examples - from body and home to work and public space...............................72
5. Data Brokers and the Business of Personal Data...................................................76
5.1 The marketing data economy and the value of personal data...................................76
5.2 Thoughts on a Customers Lifetime Risk - an excursus.............................. 80
5.3 From marketing data to credit scoring and fraud detection....................................82
5.4 Observing, inferring, modeling and scoring people..........................................84
5.5 Data brokers and online data management platforms...........................................87
5.6 Cross-device tracking and linking user profiles with hidden identifiers.....................90
5.7 Case studies and example companies.........................................................94
5.7.1 Acxiom - the world s largest commercial database on consumers........................94
5.7.2 Oracle and their consumer data brokers Bluekai and Datalogix.........................97
5.7.3 Experian - expanding from credit scoring to consumer data.......................... 101
5.7.4 arvato Bertelsmann - credit scoring and consumer data in Germany.....................104
5
5.7.5 LexisNexis and ID Analytics - scoring, identity, fraud and credit risks.............106
5.7.6 Palantir - data analytics for national security, banks and insurers.................108
5.7.7 Alliant Data and Analytics IQ - payment data and consumer scores....................109
5.7.8 Lotame - an online data management platform (DMP)...................................110
5.7.9 Drawbridge - tracking and recognizing people across devices.........................Ill
5.7.10 Flurry, InMobi and Sense Networks - mobile and location data.......................112
5.7.11 Adyen, PAY.ON and others - payment and fraud detection.............................115
5.7.12 MasterCard - fraud scoring and marketing data......................................116
6. Summary of Findings and Discussion of its Societal Implications...............................118
6.1 Ubiquitous data collection................................................................119
6.2 A loss of contextual integrity............................................................120
6.3 The transparency issue....................................................................121
6.4 Power imbalances..........................................................................123
6.5 Power imbalances abused: systematic discrimination and sorting............................124
6.6 Companies hurt consumers and themselves...................................................126
6.7 Long term effects: the end of dignity?....................................................127
6.8. Final reflection: From voluntary to mandatory surveillance?..............................129
7. Ethical Reflections on Personal Data Markets (by Sarah Spiekermann)..........................131
7.1 A short Utilitarian reflection on personal data markets...................................131
7.2 A short deontological reflection on personal data markets.................................133
7.3 A short virtue ethical reflection on personal data markets................................136
7.4 Conclusion on ethical reflections.........................................................138
8. Recommended Action............................................................................139
8.1 Short- and medium term aspects of regulation..............................................140
8.2 Enforcing transparency from outside the “black boxes”_____________________________________144
8.3 Knowledge, awareness and education on a broad scale......................................145
8.4 A technical and legal model for a privacy-friendly digital economy.......................147
List of tables................................................................................ 151
List of figures...................................................................................152
References...... ______________________....____________...______________________...-------------155
The collection, analysis and utilization of digital information based on our clicks, swipes, likes, purchases, movements, behaviors and
interests are now part of everyday life. While individuals become increasingly transparent, companies take control of the recorded data
in an often nontransparent and unregulated way. Wolfie Christl and Sarah Spiekermann explain how today s networks of corporate
surveillance are constantly tracking, profiling, categorizing, rating and affecting the lives of billions - across platforms, devices and life
contexts. Based on detailed examples their comprehensive report answers the following questions:
• Who are the players in today s personal data business? How do online platforms, tech companies and data brokers really collect,
share and make use of personal information?
• Which data is recorded by smartphones, fitness trackers, e-readers, smart TVs, connected thermostats and cars? Will the Internet of
Things lead to ubiquitous surveillance?
• What can be inferred from our purchases, calls, messages, website visits, web searches and likes? How is Big Data analytics already
used in fields such as marketing, retail, insurance, finance, healthcare and work to treat us differently?
• What are the societal and ethical implications of these practices?
• How can we move forward?
Their investigation not only exposes the full degree and scale of today s personal data business, but also shows how algorithmic decisions
on people may lead to discrimination, exclusion and other social implications. Followed by an ethical reflection on personal data markets
the authors present a selection of recommended actions.
Contents
Preface ..........................................................—.............
1. Introduction................................................................
2. Analyzing Personal Data......................................................
2.1 Big Data and predicting behavior with statistics and data mining......
2.2 Predictive analytics based on personal data: selected examples...........
2.2.1 The “Target example: predicting pregnancy from purchase behavior.
2.2.2 Predicting sensitive personal attributes from Facebook Likes......
2.2.3 Judging personality from phone logs and Facebook data.............
2.2.4 Analyzing anonymous website visitors and their web searches.......
2.2.5 Recognizing emotions from keyboard typing patterns................
2.2.6 Forecasting future movements based on phone data...................
2.2.7 Predicting romantic relations and job success from Facebook data..
2.3 De-anonymization and re-identification..................................
3. Analyzing Personal Data in Marketing, Finance, Insurance and Work.
3.1 Practical examples of predicting personality from digital records.......
3.2 Credit scoring and personal finance.....................................
3.3 Employee monitoring, hiring and workforce analytics.....................
3.4 Insurance and healthcare.......................................-.........
3.5 Fraud prevention and risk management....................................
3.6 Personalized price discrimination in e-commerce.........................
4. Recording Personal Data - Devices and Platforms.................................
4.1 Smartphones, mobile devices and apps - spies in your pocket?............
4.2.1 Data abuse by apps................................................
4.2 Car telematics, tracking-based insurance and the Connected Car...........
4.3 Wearables, fitness trackers and health apps - measuring the self.........
4.3.1 A step aside - gamification, surveillance and influence on behavior ......
4.3.2 Example: Fitbit s devices and apps................................
4.3.3 Transmitting data to third parties.................................
4.3.4 Health data for insurances and corporate wellness..................
4.4 Ubiquitous surveillance in an internet of Things?.......................
4.4.1 Examples - from body and home to work and public space.............
5. Data Brokers and the Business of Personal Data.................................
5.1 The marketing data economy and the value of personal data................
5.2 Thoughts on a Customers Lifetime Risk - an excursus..................
5.3 From marketing data to credit scoring and fraud detection................
5.4 Observing, inferring, modeling and scoring people........................
5.5 Data brokers and online data management platforms.......................
5.6 Cross-device tracking and linking user profiles with hidden identifiers.
5.7 Case studies and example companies.......................................
5.7.1 Acxiom - the world s largest commercial database on consumers.....
5.7.2 Oracle and their consumer data brokers Bluekai and Datalogix......
5.7.3 Experian - expanding from credit scoring to consumer data.....
5.7.4 arvato Bertelsmann - credit scoring and consumer data in Germany..
....7
.... 9
....11
...11
......13
...14
...14
......16
...... 19
...20
...20
...21
...21
....24
...25
...28
...31
...35
...38
......41
....45
...46
...48
...52
...58
...60
...62
......64
...65
...69
...72
.....76
...76
...80
....82
......84
...87
...90
...94
.......94
...97
.... 101
.... 104
5
5.7.5 LexisNexis and ID Analytics - scoring, identity, fraud and credit risks............106
5.7.6 Palantir - data analytics for national security, banks and insurers................108
5.7.7 Alliant Data and Analytics IQ - payment data and consumer scores...................109
5.7.8 Lotame - an online data management platform (DMP)...................................HO
5.7.9 Drawbridge - tracking and recognizing people across devices........................Ill
5.7.10 Flurry, InMobi and Sense Networks - mobile and location data......................112
5.7.11 Adyen, PAY.ON and others - payment and fraud detection............................115
5.7.12 MasterCard - fraud scoring and marketing data.....................................116
6. Summary of Findings and Discussion of its Societal Implications..............................118
6.1 Ubiquitous data collection...............................................................119
6.2 A loss of contextual integrity...........................................................120
6.3 The transparency issue...................................................................121
6.4 Power imbalances.........................................................................123
6.5 Power imbalances abused: systematic discrimination and sorting...........................124
6.6 Companies hurt consumers and themselves..................................................126
6.7 Long term effects: the end of dignity?...................................................127
6.8. Final reflection: From voluntary to mandatory surveillance?.............................129
7. Ethical Reflections on Personal Data Markets (by Sarah Spiekermann).........................131
7.1 A short Utilitarian reflection on personal data markets..................................131
7.2 A short deontological reflection on personal data markets................................133
7.3 A short virtue ethical reflection on personal data markets...............................136
7.4 Conclusion on ethical reflections........................................................138
8. Recommended Action...........................................................................139
8.1 Short- and medium term aspects of regulation............................................140
8.2 Enforcing transparency from outside the black boxes ....................................144
8.3 Knowledge, awareness and education on a broad scale......................................145
8.4 A technical and legal model for a privacy-friendly digital economy.......................147
List of tables........................................................................... 151
List of figures..................................................................................152
References.......................................................................................155
The collection, analysis and utilization of digital information based on our clicks, swipes, likes, purchases, movements, behaviors and
interests are now part of everyday life. While individuals become increasingly transparent, companies take control of the recorded data
in an often nontransparent and unregulated way. Wolfie Christl and Sarah Spiekermann explain how today s networks of corporate
surveillance are constantly tracking, profiling, categorizing, rating and affecting the lives of billions - across platforms, devices and life
contexts. Based on detailed examples their comprehensive report answers the following questions:
• Who are the players in today s personal data business? How do online platforms, tech companies and data brokers really collect,
share and make use of personal information?
• Which data is recorded by smartphones, fitness trackers, e-readers, smart TVs, connected thermostats and cars? Will the Internet of
Things lead to ubiquitous surveillance?
• What can be inferred from our purchases, calls, messages, website visits, web searches and likes? How is Big Data analytics already
used in fields such as marketing, retail, insurance, finance, healthcare and work to treat us differently?
• What are the societal and ethical implications of these practices?
• How can we move forward?
Their investigation not only exposes the full degree and scale of today s personal data business, but also shows how algorithmic decisions
on people may lead to discrimination, exclusion and other social implications. Followed by an ethical reflection on personal data markets
the authors present a selection of recommended actions.
|
| any_adam_object | 1 |
| author | Christl, Wolfie Spiekermann, Sarah 1973- |
| author_GND | (DE-588)1020728124 |
| author_facet | Christl, Wolfie Spiekermann, Sarah 1973- |
| author_role | aut aut |
| author_sort | Christl, Wolfie |
| author_variant | w c wc s s ss |
| building | Verbundindex |
| bvnumber | BV043875098 |
| classification_rvk | AP 15950 MS 7965 PZ 4700 SR 850 |
| ctrlnum | (OCoLC)966297971 (DE-599)DNB1114746010 |
| discipline | Allgemeines Rechtswissenschaft Informatik Soziologie Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV043875098 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:37:24Z |
| institution | BVB |
| isbn | 9783708914732 3708914732 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029284853 |
| oclc_num | 966297971 |
| open_access_boolean | |
| owner | DE-29T DE-706 DE-12 DE-384 |
| owner_facet | DE-29T DE-706 DE-12 DE-384 |
| physical | 165 Seiten Illustrationen, Tabellen 23 cm x 15.3 cm |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | facultas |
| record_format | marc |
| spelling | Christl, Wolfie Verfasser aut Networks of control a report on corporate surveillance, digital tracking, big data & privacy Wolfie Christl, Sarah Spiekermann Wien facultas 2016 165 Seiten Illustrationen, Tabellen 23 cm x 15.3 cm txt rdacontent n rdamedia nc rdacarrier Literaturverzeichnis: Seite 153-165 Privatsphäre (DE-588)4123980-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Überwachung (DE-588)4134175-2 gnd rswk-swf Datenschutz (DE-588)4011134-9 gnd rswk-swf Objektverfolgung (DE-588)4311226-2 gnd rswk-swf Personenbezogene Daten (DE-588)4173908-5 gnd rswk-swf Big Data Corporate Surveillance Datenschutz Datensicherheit Datenüberwachung Digital Tracking Privacy Schutz der Privatsphäre digitale Welt Personenbezogene Daten (DE-588)4173908-5 s Überwachung (DE-588)4134175-2 s Objektverfolgung (DE-588)4311226-2 s Big Data (DE-588)4802620-7 s Datenschutz (DE-588)4011134-9 s Privatsphäre (DE-588)4123980-5 s DE-604 Spiekermann, Sarah 1973- Verfasser (DE-588)1020728124 aut Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029284853&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029284853&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029284853&sequence=000005&line_number=0003&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029284853&sequence=000006&line_number=0004&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Christl, Wolfie Spiekermann, Sarah 1973- Networks of control a report on corporate surveillance, digital tracking, big data & privacy Privatsphäre (DE-588)4123980-5 gnd Big Data (DE-588)4802620-7 gnd Überwachung (DE-588)4134175-2 gnd Datenschutz (DE-588)4011134-9 gnd Objektverfolgung (DE-588)4311226-2 gnd Personenbezogene Daten (DE-588)4173908-5 gnd |
| subject_GND | (DE-588)4123980-5 (DE-588)4802620-7 (DE-588)4134175-2 (DE-588)4011134-9 (DE-588)4311226-2 (DE-588)4173908-5 |
| title | Networks of control a report on corporate surveillance, digital tracking, big data & privacy |
| title_auth | Networks of control a report on corporate surveillance, digital tracking, big data & privacy |
| title_exact_search | Networks of control a report on corporate surveillance, digital tracking, big data & privacy |
| title_full | Networks of control a report on corporate surveillance, digital tracking, big data & privacy Wolfie Christl, Sarah Spiekermann |
| title_fullStr | Networks of control a report on corporate surveillance, digital tracking, big data & privacy Wolfie Christl, Sarah Spiekermann |
| title_full_unstemmed | Networks of control a report on corporate surveillance, digital tracking, big data & privacy Wolfie Christl, Sarah Spiekermann |
| title_short | Networks of control |
| title_sort | networks of control a report on corporate surveillance digital tracking big data privacy |
| title_sub | a report on corporate surveillance, digital tracking, big data & privacy |
| topic | Privatsphäre (DE-588)4123980-5 gnd Big Data (DE-588)4802620-7 gnd Überwachung (DE-588)4134175-2 gnd Datenschutz (DE-588)4011134-9 gnd Objektverfolgung (DE-588)4311226-2 gnd Personenbezogene Daten (DE-588)4173908-5 gnd |
| topic_facet | Privatsphäre Big Data Überwachung Datenschutz Objektverfolgung Personenbezogene Daten |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029284853&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029284853&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029284853&sequence=000005&line_number=0003&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029284853&sequence=000006&line_number=0004&func_code=DB_RECORDS&service_type=MEDIA |
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