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Big Data and Official Statistics
14 references·5 citing·41 second hop
Big Data and Official Statistics (2018)Big Data and Official StatisticsWeapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Weapons of Math Destruction: …Big Data (2017)Big DataThe Continuing Evolution of Official Statistics: Some Challenges and Opportunities (2016)The Continuing Evolution of O…The opportunities, challenges and risks of big data for official statistics (2015)The opportunities, challenges…Saving Capitalism: For the Many, Not the Few (2015)Saving Capitalism: For the Ma…Big Data, Official Statistics and Some Initiatives by the Australian Bureau of Statistics (2015)Big Data, Official Statistics…Big Data as a Source for Official Statistics (2015)Big Data as a Source for Offi…Official statistics and Big Data (2014)Official statistics and Big D…Big data: a revolution that will transform how we live, work, and think (2013)Big data: a revolution that w…Predicting the Present with Google Trends (2012)Predicting the Present with G…CRITICAL QUESTIONS FOR BIG DATA (2012)CRITICAL QUESTIONS FOR BIG DA…The World’s Technological Capacity to Store, Communicate, and Compute Information (2011)The World’s Technological Cap…Resolution Adopted By The General Assembly (1984)Resolution Adopted By The Gen…Hitchhiker's Guide to the Galaxy (1979)Hitchhiker's Guide to the Gal…Official statistics and big data in Latin America: Data enclosures and counter-movements (2024)Official statistics and big d…The five V’s, seven virtues and ten rules of big data engagement for official statistics (2020)The five V’s, seven virtues a…Error Measures for Trajectory Estimations With Geo-Tagged Mobility Sample Data (2018)Error Measures for Trajectory…Big Data in Survey Research (2015)Big Data in Survey ResearchBig Data and Official Statistics: Opportunities, Challenges and Risks (2015)Big Data and Official Statist…The Strength of Weak Ties (1973)Writing Culture (1986)Writing Culture: The Poetics and Politics of Ethnography (1986)Big Data, new epistemologies and paradigm shifts (2014)Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology (2014)Algorithms at Work: The New Contested Terrain of Control (2019)The Coming of Post-Industrial Society: A Venture in Social Forecasting. (1974)The Information Age: Economy, Society and Culture (1999)The Nature of Technology: What it Is and How it Evolves (2009)Big data in the policy cycle: Policy decision making in the digital era (2015)The Society of Algorithms (2021)Green supply chain innovation: Emergence, adoption, and challenges (2022)Selection and the Evolution of Industry (1982)The Psychology of Survey Response (2000)Thinking, Fast and Slow (2011)Big Data (2017)The Evolution of Data Quality: Understanding the Transdisciplinary Origins of Data Quality Concepts and Approaches (2017)Die Methoden der sozialwissenschaftlichen Datenerhebung im digitalen Zeitalter (2021)Big Data: A Revolution That Will Transform How We Live, Work, and Think (2014)Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Subject (2018)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Big data: The next frontier for innovation, competition, and productivity (2011)Doing Data Science: Straight Talk from the Frontline (2013)Combining official and Google Trends data to forecast the Italian youth unemployment rate (2017)Machine Learning at Central Banks (2017)The Big (data) Bang: Opportunities and Challenges for Compiling SDG Indicators (2019)Big other: Surveillance Capitalism and the Prospects of an Information Civilization (2015)The ethics of algorithms: Mapping the debate (2016)Transparency and integrity in lobbying (2015)Forget political corporate social responsibility (2020)Approaches to the Economics of Discrimination (2025)In Search of Attention (2011)Big data in tourism research: A literature review (2018)Text as Data (2019)Managing Legitimacy: Strategic and Institutional Approaches (1995)WHO NEEDS CULTURAL INTERMEDIARIES? (2002)Knowledge sharing: context, confusion and controversy (2003)Addressing critical gaps in the treatment of eating disorders (2017)Determinants of Carbon Emission in China: How Good is Green Investment? (2020)The 17 United Nations’ sustainable development goals: a status by 2020 (2021)
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References

  • 2012CRITICAL QUESTIONS FOR BIG DATA5,449 cited
  • 2013Big data: a revolution that will transform how we live, work, and think3,631 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
  • 2012Predicting the Present with Google Trends2,353 cited
  • 2011The World’s Technological Capacity to Store, Communicate, and Compute Information1,643 cited
  • 1984Resolution Adopted By The General Assembly1,148 cited
  • 1979Hitchhiker's Guide to the Galaxy596 cited
  • 2015Saving Capitalism: For the Many, Not the Few529 cited
  • 2015Big Data as a Source for Official Statistics131 cited
  • 2014Official statistics and Big Data108 cited
  • 2015Big Data, Official Statistics and Some Initiatives by the Australian Bureau of Statistics76 cited
  • 2015The opportunities, challenges and risks of big data for official statistics67 cited
  • 2017Big Data67 cited
  • 2016The Continuing Evolution of Official Statistics: Some Challenges and Opportunities25 cited

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  • 2015Big Data in Survey Research175 cited
  • 2015

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Big Data and Official Statistics: Opportunities, Challenges and Risks
19 cited
  • 2024Official statistics and big data in Latin America: Data enclosures and counter-movements14 cited
  • 2020The five V’s, seven virtues and ten rules of big data engagement for official statistics10 cited
  • 2018Error Measures for Trajectory Estimations With Geo-Tagged Mobility Sample Data6 cited