Big Data - In den Fängen der Datenkraken

2019 ◽  
Keyword(s):  
Big Data ◽  
Political Communication ◽  
Business Models ◽  
Code Of Ethics ◽  
Personal Data ◽  
Digital Revolution ◽  
Digital World ◽  
Academic Fields ◽  
The Future ◽  
The Media

Our beautiful, new digital world has a come at a price, which we are paying by relinquishing our personal data–while we are shopping, driving our cars, and chatting and surfing on the Internet. However, the intelligent algorithms needed to process this data pose a threat to freedom in our society. They analyse and evaluate us, while predicting our behaviour. Big data and data mining are the business models of the future. What does all this mean for politics, the economy, journalism and political communication? Do we have to defend basic human rights and human dignity against the digital revolution? Do we need new laws and a code of ethics for algorithms? And how will politics, the media and democracy function under these new conditions? In this book, experts from a variety of academic fields, journalism and politics discuss these questions in terms of the future and society. With contributions by Johanna Haberer, Yvonne Hofstetter, Sabine Leutheusser-Schnarrenberger, Klaus Mainzer, Daniel Moßbrucker, Peter Schaar, Michael Schröder, Axel Schwanebeck and Thomas Zeilinger.

Privacy Preserving Big Data Publishing

2021 ◽  
pp. 1281-1298
Author(s):  
Nancy Victor ◽  
Daphne Lopez
Keyword(s):  
Big Data ◽  
Language Processing ◽  
Data Privacy ◽  
Privacy Preservation ◽  
Personal Data ◽  
Privacy Preserving ◽  
Data Publishing ◽  
Time Data ◽  
Digital World ◽  
Distributed Framework

Data privacy plays a noteworthy part in today's digital world where information is gathered at exceptional rates from different sources. Privacy preserving data publishing refers to the process of publishing personal data without questioning the privacy of individuals in any manner. A variety of approaches have been devised to forfend consumer privacy by applying traditional anonymization mechanisms. But these mechanisms are not well suited for Big Data, as the data which is generated nowadays is not just structured in manner. The data which is generated at very high velocities from various sources includes unstructured and semi-structured information, and thus becomes very difficult to process using traditional mechanisms. This chapter focuses on the various challenges with Big Data, PPDM and PPDP techniques for Big Data and how well it can be scaled for processing both historical and real-time data together using Lambda architecture. A distributed framework for privacy preservation in Big Data by combining Natural language processing techniques is also proposed in this chapter.

President's Page: Facing The Future: Securing SEG Relevance and Impact

2021 ◽  
Vol 40 (6) ◽  
pp. 400-401
Author(s):  
Bill Abriel
Keyword(s):  
Big Data ◽  
Digital Revolution ◽  
The Past ◽  
Applied Geophysics ◽  
The Future

A fourth digital revolution of applied geophysics is upon us — the “big data” era. Three prior digital revolutions in the past 50 years have provided new and more powerful tools, expanded markets, and redefined what it takes to be a successful applied geophysicist. The present digital revolution can do the same and be a benefit to the profession. To meet this challenge, SEG is adapting its business, products, and services.

The Future of ‘Digital Research'

2022 ◽  
pp. 42-53
Author(s):  
Costantino Cipolla
Keyword(s):  
Big Data ◽  
Sociological Knowledge ◽  
Digital Revolution ◽  
New Era ◽  
Digital Society ◽  
The Future ◽  
Digital Methods ◽  
The Times ◽  
Theory Research ◽  
Field Of Inquiry

Sociology is a discipline inevitably based on interpretative categories of social reality derived from a specific historical phase. In a period that is increasingly defined as a new era or digital society, can sociological knowledge not be upset by this overload of changes of every kind and nature? And can these changes not involve all identity components of sociology, namely theory, research, and the usability of its knowledge? Given this, it seems rather evident that this volume is the sign of the times and testify the variety and flexibility of digital methods. The author limits to dealing schematically with two methodological components that are constitutive of the digital revolution: the shift from the traditional and glorious ethnography to the new and emerging netnography, especially as regards the qualitative side, and, on the more properly quantitative side, the overwhelming and boundless spread of big data. A brief and selective description of these “transitions” will be complemented by a thoughtful evaluation of their potential for the future in the peculiar field of inquiry.

Inaugural: A Necessary Disenchantment: Myth, Agency and Injustice in a Digital World

2014 ◽  
Vol 62 (4) ◽  
pp. 880-897 ◽  
Author(s):  
Nick Couldry
Keyword(s):  
Big Data ◽  
Meaning Making ◽  
Social Knowledge ◽  
Past Century ◽  
Digital World ◽  
Media Institutions ◽  
The Status ◽  
Social Media Platforms ◽  
History Of ◽  
The Media

This lecture reviews the history of how the status and authority of media institutions over the past century have been entangled with wider claims about social knowledge and the order of societies. It analyses those relations in terms of three successive and now overlapping myths: ‘the myth of the mediated centre’ which claims that media (traditional mass media institutions) are privileged access points to our centre of social values and social reality; the ‘myth of us’ which is now emerging around the supposedly natural collectivities that ‘we’ form on commercial social media platforms; and, from outside the media industries, the ‘myth of big data’ which proclaims big data techniques are generating an entirely new and better form of social knowledge. All these myths require deconstruction by a particular hermeneutic, but the case of the myth of big data is the most paradoxical, since its claims amount to an anti-hermeneutic, a refusal to interpret the social anymore as the resultant of processes of meaning-making. This third myth, it is argued, requires a hermeneutic of the anti-hermeneutic if it is to be deconstructed and previous conceptions of social knowledge (from Weber onwards), and the claims to possible justice and politics based upon them, are to be preserved.

scholarly journals Future trends: businness view and high tech

2020 ◽  
pp. 6
Author(s):  
José Rafael Marques da Silva ◽  
Manuela Correia
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Business Models ◽  
High Tech ◽  
Human Intelligence ◽  
Future Trends ◽  
Arable Crops ◽  
Food Traceability ◽  
Slide Presentation ◽  
The Future

This topic presents the macro-design of SPA that will surely appear in the coming years and also the future technological trends in SPA applied to viticulture and arable crops. A vision of the future of SPA is presented in three layers: i) human intelligence (related to soil, plants, climate, pests, diseases, environment, food production, fibre and energy) on top; ii) artificial intelligence (related to hardware, communications, data) in the middle; iii) and again human intelligence on the bottom (consumers, business models, transparency, food traceability). “Big Data” challenges are discussed regarding the specific needs of agriculture. The technological groups identified in a Foresight Analysis report are discussed and the future technological trends on arable crops and vineyards are presented. In this topic, materials include a slide presentation, a document text and the Foresight Analysis report.

scholarly journals The Hype of Big Data Analytics and Auditors

2019 ◽  
Vol 8 (2) ◽  
pp. 1-4 ◽  
Author(s):  
Prem Lal Joshi ◽  
Govindan Marthandan
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Business Models ◽  
Big Data Analytics ◽  
Cognitive Tasks ◽  
Fast Tracking ◽  
The Future

In the era of fast-tracking digitization and unconventional big data analytics, business models are being reshaped and they impact auditing amongst auditors. This viewpoint paper takes into account the procedures underlying on big data and its analytics in driving the evolution of business and identifies some of the unresolved issues and concerns on auditors, especially in the context of cognitive tasks. The paper continues to focus on the current spate of discussions on big data and auditing profession. It explains the nature of big data and its characteristics as well as the output types. This paper also tries to find answers for what is new in it, how it assists the auditors along with some unresolved  issues and concerns. Since big data analytics is the future, auditors need to reshape themselves in terms of skills and competencies to meet the emerging technological challenges. 

scholarly journals The Future of mobile operators - New business models

2018 ◽  
Author(s):  
Jovana Mihailovic
Keyword(s):  
Business Model ◽  
Business Models ◽  
Business Model Innovation ◽  
Telecommunication Industry ◽  
Digital World ◽  
Telecommunication Market ◽  
The Future ◽  
New Business ◽  
New Business Models

The aim of this paper is to show rising importance of business model innovation in telecommunication industry. Work gives an overview of telecommunication market, it presents the strategy mobile operators have and challenges they face to adopt to digital world. The main focus is on new business models operators can implement in order to innovate and stay competitive at the market. Cases when operators work in collaboration with startups were analysed and followed by examples from practice. The influence of digitalisation trend on Serbian telecommunication market and how mobile operators respond to it in comparison to other countries were investigated in more detail.

Privacy Preserving Big Data Publishing

2018 ◽  
pp. 47-70 ◽  
Author(s):  
Nancy Victor ◽  
Daphne Lopez
Keyword(s):  
Big Data ◽  
Language Processing ◽  
Data Privacy ◽  
Privacy Preservation ◽  
Personal Data ◽  
Privacy Preserving ◽  
Data Publishing ◽  
Time Data ◽  
Digital World ◽  
Distributed Framework

Data privacy plays a noteworthy part in today's digital world where information is gathered at exceptional rates from different sources. Privacy preserving data publishing refers to the process of publishing personal data without questioning the privacy of individuals in any manner. A variety of approaches have been devised to forfend consumer privacy by applying traditional anonymization mechanisms. But these mechanisms are not well suited for Big Data, as the data which is generated nowadays is not just structured in manner. The data which is generated at very high velocities from various sources includes unstructured and semi-structured information, and thus becomes very difficult to process using traditional mechanisms. This chapter focuses on the various challenges with Big Data, PPDM and PPDP techniques for Big Data and how well it can be scaled for processing both historical and real-time data together using Lambda architecture. A distributed framework for privacy preservation in Big Data by combining Natural language processing techniques is also proposed in this chapter.

Five Challenges Facing Journalism Education in the UK

2018 ◽  
Vol 28 (2) ◽  
pp. 153-163 ◽  
Author(s):  
Chris Frost
Keyword(s):  
Journalism Education ◽  
Analog To Digital ◽  
Digital World ◽  
Key Skills ◽  
The Future ◽  
Teachers And Students ◽  
Massive Change ◽  
The Media ◽  
Journalism Students ◽  
The Uk

Journalism and journalism education has been through a time of massive change over the past 20 years as the media has got to grips with the technology revolution, learning how to deal with the benefits and problems that the move from analog to digital has brought. Now education needs to look to the future to predict what’s coming and to prepare teachers and students for even more change as the interface between humans and the digital world becomes ever closer. Journalism education also needs to take more seriously the need to not just train journalism students but to give them the tools to deal with a fast-moving world where things can change almost month by month. Students can now expect a career of up to 60 years duration and learning how to predict the future, deal with the latest innovations, manage change and identify what is important and what is merely transitory; a glossy distraction rather than a change in basic truths will be key skills for success. Training simply for today’s world is no longer good enough and lets our students down – students need skills for a future that will be more different than any sci-fi artefact film can imagine.

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