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Mapping socioeconomic indicators using social media advertising data
9 references·7 citing·38 second hop
Mapping socioeconomic indicators using social media advertising data (2020)Mapping socioeconomic indicators using so…Quantifying international human mobility patterns using Facebook Network data (2019)Quantifying international hum…Transforming Our World: The 2030 Agenda for Sustainable Development (2018)Transforming Our World: The 2…Mapping poverty using mobile phone and satellite data (2017)Mapping poverty using mobile …Constructing spatiotemporal poverty indices from big data (2016)Constructing spatiotemporal p…Predicting poverty and wealth from mobile phone metadata (2015)Predicting poverty and wealth…Prediction of Socioeconomic Levels Using Cell Phone Records (2011)Prediction of Socioeconomic L…Prediction of socioeconomic levels using cell phone records (2011)Prediction of socioeconomic l…Global Gender Gap Report (2006)Global Gender Gap ReportThe DHS Wealth Index (2004)The DHS Wealth IndexCGPM: Poverty Mapping Framework Based on Multi-Modal Geographic Knowledge Integration and Macroscopic Social Network Mining (2023)CGPM: Poverty Mapping Framewo…Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan (2022)Program targeting with machin…Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data (2022)Mapping urban socioeconomic i…Geographic microtargeting of social assistance with high-resolution poverty maps (2022)Geographic microtargeting of …Algorithms that "Don't See Color" (2022)Algorithms that "Don't See Co…Non-traditional data sources (2021)Non-traditional data sourcesAnalysing global professional gender gaps using LinkedIn advertising data (2021)Analysing global professional…Network Diversity and Economic Development (2010)Are we underestimating urban poverty? (2017)Combining disparate data sources for improved poverty prediction and mapping (2017)Measuring objective and subjective well-being: dimensions and data sources (2020)Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India (2001)Understanding individual human mobility patterns (2008)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States (2017)Economic Growth and Income Inequality (2019)Social physics (2022)A Theory of the Consumption Function (1958)Regional Inequalities and Civil Conflict in Sub-Saharan Africa (2009)Acute Multidimensional Poverty: A New Index for Developing Countries (2011)Measurement of Women’s Empowerment in Rural Bangladesh (2011)The Measurement of Multidimensional Poverty (2003)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Machine Learning at Central Banks (2017)Value creation for realising the sustainable development goals: Fostering organisational adoption of big data analytics (2020)A Class of Decomposable Poverty Measures (1984)The scales of human mobility (2020)Microestimates of wealth for all low- and middle-income countries (2022)Big Data ethics (2014)Geo-located Twitter as proxy for global mobility patterns (2014)Inferring international and internal migration patterns from Twitter data (2014)Improving the evidence base: A methodological review of the quantitative climate migration literature (2021)The networked character of migration and transnationalism (2021)Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data (2023)Estimating Wealth Effects without Expenditure Data-or Tears: An Application to Educational Enrollments in States of India (2001)Fairness through awareness (2012)Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance (2021)Infrequent activities predict economic outcomes in major American cities (2024)Geography and geographical knowledge contribute decisively to all sustainable development goals and targets (2025)Sex differences in academic achievement are not related to political, economic, or social equality (2014)Uncovering the hidden impacts of inequality on mental health: a global study (2018)The effect of coronavirus disease-19 (COVID-19) risk perception on behavioural intention towards ‘untact’ tourism in South Korea during the first wave of the pandemic (March 2020) (2020)Three frames for innovation policy: R&D, systems of innovation and transformative change (2018)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)On the Opportunities and Risks of Foundation Models (2021)
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References

  • 2018Transforming Our World: The 2030 Agenda for Sustainable Development19,350 cited
  • 2004The DHS Wealth Index1,161 cited
  • 2015Predicting poverty and wealth from mobile phone metadata700 cited
  • 2006Global Gender Gap Report366 cited
  • 2017Mapping poverty using mobile phone and satellite data329 cited
  • 2011Prediction of Socioeconomic Levels Using Cell Phone Records108 cited
  • 2016Constructing spatiotemporal poverty indices from big data90 cited
  • 2011Prediction of socioeconomic levels using cell phone records89 cited
  • 2019Quantifying international human mobility patterns using Facebook Network data86 cited

Cited by

  • 2022Geographic microtargeting of social assistance with high-resolution poverty maps51 cited
  • 2021Analysing global professional gender gaps using LinkedIn advertising data49 cited
  • 2022Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan44 cited
  • 2022Algorithms that "Don't See Color"28 cited
  • 2021Non-traditional data sources16 cited
  • 2022Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data

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8 cited
  • 2023CGPM: Poverty Mapping Framework Based on Multi-Modal Geographic Knowledge Integration and Macroscopic Social Network Mining3 cited