Big Data, Scapegoat or Hero – Ethical Insights from René Girard
Big Data draws both praise and criticism, seen as both villain and hero. The release of megabytes of data by Wikileaks is accorded praise as information transparency by some, whilst others find the massive collection of information by Amazon or Google, often freely given, immoral and to be feared. T...
| Autor principal: | |
|---|---|
| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Verificar disponibilidad: | HBZ Gateway |
| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Publicado: |
2022
|
| En: |
Who's watching? Surveillance, big data and applied ethics in the digital age
Año: 2022, Páginas: 23-38 |
| (Cadenas de) Palabra clave estándar: | B
Girard, René 1923-2015
|
| Otras palabras clave: | B
autonomous vehicles
B Datos de masa B René Girard B Driverless cars B Banking B Ai B Australia |
| Acceso en línea: |
Volltext (Deutschlandweit zugänglich) |
MARC
| LEADER | 00000caa a22000002c 4500 | ||
|---|---|---|---|
| 001 | 1923912828 | ||
| 003 | DE-627 | ||
| 005 | 20251203194348.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 250429s2022 xx |||||o 00| ||eng c | ||
| 020 | |a 9781803824697 | ||
| 024 | 7 | |a 10.1108/S1529-209620220000026003 |2 doi | |
| 035 | |a (DE-627)1923912828 | ||
| 035 | |a (DE-599)KEP107263394 | ||
| 035 | |a (UkBfE)(emerald)S1529-209620220000026003 | ||
| 035 | |a (DE-627-1)107263394 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 084 | |a 1 |2 ssgn | ||
| 100 | 1 | |a Harris, Howard |e VerfasserIn |4 aut | |
| 109 | |a Harris, Howard | ||
| 245 | 1 | 0 | |a Big Data, Scapegoat or Hero – Ethical Insights from René Girard |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Big Data draws both praise and criticism, seen as both villain and hero. The release of megabytes of data by Wikileaks is accorded praise as information transparency by some, whilst others find the massive collection of information by Amazon or Google, often freely given, immoral and to be feared. The paper examines three cases embracing the velocity, volume and variety aspects of Big Data – digital platforms, driverless cars and the Banking Royal Commission – and uses René Girard’s theories of mimesis and scapegoating to show that the identification of a scapegoat, or villain, is a common feature in them and that concerns over Big Data are linked to fear of ‘the other’, thus helping to show how Big Data can be both loved and hated and how both practitioners and theorists might comprehend public reaction to big data and its ethical dimensions. | ||
| 601 | |a Big Data | ||
| 650 | 4 | |a Big Data | |
| 650 | 4 | |a René Girard | |
| 650 | 4 | |a Ai | |
| 650 | 4 | |a autonomous vehicles | |
| 650 | 4 | |a Driverless cars | |
| 650 | 4 | |a Banking | |
| 650 | 4 | |a Australia | |
| 689 | 0 | 0 | |d p |0 (DE-588)118539507 |0 (DE-627)079338933 |0 (DE-576)161119867 |2 gnd |a Girard, René |d 1923-2015 |
| 689 | 0 | |5 (DE-627) | |
| 773 | 0 | 8 | |i Enthalten in |t Who's watching? Surveillance, big data and applied ethics in the digital age |b First edition |d Bingley, U.K. : Emerald Publishing Limited, 2022 |g (2022), Seite 23-38 |h 1 Online-Ressource (viii, 112 Seiten) |w (DE-627)181548635X |z 9781803824673 |z 9781803824697 |7 nnam |
| 773 | 1 | 8 | |g year:2022 |g pages:23-38 |
| 856 | 4 | 0 | |u https://doi.org/10.1108/S1529-209620220000026003 |m X:EMERALD |x Resolving-System |z Deutschlandweit zugänglich |3 Volltext |7 1 |
| 912 | |a ZDB-1-BMEN |b 2022 | ||
| 912 | |a ZDB-1-EPB | ||
| 912 | |a ZDB-1-EPB-article | ||
| 912 | |a ZDB-1-BMEN-article |b 2022 | ||
| 935 | |a GIRA | ||
| 950 | |a Emerald Business, Management and Economics eBook Collection Archive | ||
| 951 | |a AR | ||
| ELC | |a 1 | ||
| ITA | |a 1 |t 1 | ||
| LOK | |0 000 xxxxxcx a22 zn 4500 | ||
| LOK | |0 001 4798933651 | ||
| LOK | |0 003 DE-627 | ||
| LOK | |0 004 1923912828 | ||
| LOK | |0 005 20251107191558 | ||
| LOK | |0 008 251107||||||||||||||||ger||||||| | ||
| LOK | |0 040 |a DE-Tue135-1 |c DE-627 |d DE-Tue135-1 | ||
| LOK | |0 852 |a DE-Tue135-1 | ||
| LOK | |0 852 1 |m p |9 00 | ||
| LOK | |0 866 |x Bibliography no | ||
| LOK | |0 935 |a inau | ||
| LOK | |0 938 |k p | ||
| LOK | |0 939 |a 07-11-25 |b l01 | ||
| ORI | |a SA-MARC-ixtheoa001.raw | ||
| STA | 0 | 0 | |a Mass data |
| STB | 0 | 0 | |a Big data,Données massives,Données massives |
| STC | 0 | 0 | |a Datos de masa |
| STD | 0 | 0 | |a Dati di massa |
| STF | 0 | 0 | |a 大數據 |
| STG | 0 | 0 | |a Dados de massa |
| STH | 0 | 0 | |a Большой объём данных |
| STI | 0 | 0 | |a Μαζικά δεδομένα |
| SYE | 0 | 0 | |a Massendaten,Mass Data , Hai,El-Tell,Et-Tell,Ḫirbet et-Tell,Khirbet et-Tell |
| SYG | 0 | 0 | |a Girard, René Noël Théophile,1923-2015,Žurar, Rene,1923-2015 |
