Measuring Professional Skill Development in U.S. Cities Using Internet Search Queries

Using a sample of 10 million skill development-related queries from a popular internet search engine, drawn from almost 400 U.S. cities and over a 5 year period (2012 - 2016), we characterize the skills people search for across these cities, and relate them to measures of economic output, including GDP and unemployment. Findings show that differences in the amount, type, and specialization of skill development searches distinguish economically thriving cities from those that are struggling, including explaining variance in future GDP growth after accounting for socioeconomic demographics such as income and poverty levels. Overall, internet-based skill development appears to contribute to rich cities getting richer, with initially well-off cities seeing more and more specialized skill-related searching that in turn aligns with future economic growth.

[1]  Michael J. Muller,et al.  Motivations for social networking at work , 2008, CSCW.

[2]  Ryen W. White,et al.  Toward Enhanced Pharmacovigilance Using Patient-Generated Data on the Internet , 2014, Clinical pharmacology and therapeutics.

[3]  Amy Bruckman,et al.  The view from the other side: The border between controversial speech and harassment on Kotaku in Action , 2017, First Monday.

[4]  I. Kawachi,et al.  Socioeconomic determinants of health : Health and social cohesion: why care about income inequality? , 1997 .

[5]  Z. Burda,et al.  Dynamics of wealth inequality , 2018, Comptes Rendus Physique.

[6]  M Daly,et al.  What happens when the private sector plans hospital services for the NHS: three case studies under the private finance initiative , 1997, BMJ.

[7]  Ryen W. White,et al.  Seeking and sharing health information online: comparing search engines and social media , 2014, CHI.

[8]  Scott Counts,et al.  Measuring Employment Demand Using Internet Search Data , 2018, CHI.

[9]  Nicholas E. Matthews,et al.  The role of charitable funding in university research , 2019, Science and Public Policy.

[10]  Alexander Kurov,et al.  Volatility Forecasting: The Role of Internet Search Activity and Implied Volatility , 2016 .

[11]  T. Söderström,et al.  Athletic ability in childhood and adolescence as a predictor of participation in non-elite sports in young adulthood , 2018 .

[12]  D. Hall,et al.  The New Career Contract: Developing the Whole Person at Midlife and Beyond , 1995 .

[13]  Michael J. Cohen,et al.  Chapter 6 : Macroeconomy and Urban Productivity , 2018 .

[14]  Christine Greenhow,et al.  Learning, Teaching, and Scholarship in a Digital Age , 2009 .

[15]  Carlos Castillo,et al.  Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries , 2019, Front. Big Data.

[16]  D. Lazer,et al.  The Parable of Google Flu: Traps in Big Data Analysis , 2014, Science.

[17]  Justin Reich,et al.  The State of Wiki Usage in U.S. K–12 Schools , 2012 .

[18]  Susan T. Dumais,et al.  Understanding User Behavior Through Log Data and Analysis , 2014, Ways of Knowing in HCI.

[19]  P. Attewell The First and Second Digital Divides , 2001 .

[20]  Sandra Buchholz,et al.  Adult learning, labor market outcomes, and social inequalities in modern societies , 2014 .

[21]  Ryen W. White,et al.  Exploring Time-Dependent Concerns about Pregnancy and Childbirth from Search Logs , 2015, CHI.

[22]  H. Varian,et al.  Predicting the Present with Google Trends , 2009 .

[23]  Juri Marcucci,et al.  'Google It!' Forecasting the US Unemployment Rate with A Google Job Search Index , 2010 .

[24]  Michael A. Osborne,et al.  The future of employment: How susceptible are jobs to computerisation? , 2017 .

[25]  P. Knauth,et al.  Employability and the psychological contract in European ICT sector SMEs , 2008 .

[26]  H. Alker,et al.  On measuring inequality. , 1964, Behavioral science.

[27]  Thomas Dimpfl,et al.  Can Internet Search Queries Help to Predict Stock Market Volatility? , 2016 .

[28]  Blake E. Ashforth,et al.  Employability: A psycho-social construct, its dimensions, and applications , 2004 .

[29]  R. Wilkinson Unhealthy Societies: The Afflictions of Inequality , 1996 .

[30]  John Braithwaite,et al.  Inequality, crime, and public policy , 1979 .

[31]  Elad Yom-Tov,et al.  Crowdsourced Health: How What You Do on the Internet Will Improve Medicine , 2016 .

[32]  Michael Marien,et al.  Book Review: The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies , 2014 .

[33]  P. Kuhn,et al.  Is Internet Job Search Still Ineffective? , 2014, SSRN Electronic Journal.

[34]  Briana B. Morrison,et al.  Information Seeking Practices of Parents: Exploring Skills, Face Threats and Social Networks , 2016, CHI.

[35]  Munmun De Choudhury,et al.  A Social Media Based Examination of the Effects of Counseling Recommendations after Student Deaths on College Campuses , 2018, ICWSM.

[36]  Christian Reuter,et al.  Retrospective Review and Future Directions for Crisis Informatics , 2021, Information Refinement Technologies for Crisis Informatics.

[37]  G. N. Gilbert Computational Social Science , 2010 .

[38]  John VanReenen The Race Between Education and Technology , 2010 .

[39]  Xuelong Li,et al.  Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search , 2013, IEEE Transactions on Image Processing.

[40]  Matthew Richardson,et al.  Learning about the world through long-term query logs , 2008, TWEB.

[41]  David H. Autor,et al.  Replication data for: Why Are There Still So Many Jobs? The History and Future of Workplace Automation , 2019 .

[42]  Munmun De Choudhury,et al.  Social Media Participation in an Activist Movement for Racial Equality , 2016, ICWSM.

[43]  N. Askitas,et al.  Google Econometrics and Unemployment Forecasting , 2009, SSRN Electronic Journal.