On the Congruence Between Online Social Content and Future IT Skill Demand

The speed of digital transformation has resulted in new challenges for job seekers to become lifelong learners and to develop new skills faster than before. In this paper, our main objective is to examine how online content can serve as indicators for changes to the Information Technology (IT) industry and its in-demand skills. To study this relationship, we collect Reddit posts to represent social media content and job postings to reflect the IT industry based on which we explore possible correlations between them. Further, we propose a methodology to quantitatively estimate the predictive power of social media content for future in-demand skills. Our results show that the frequency of skill-related conversations on Reddit correlates with the popularity of skills in job posting data. Additionally, our findings indicate that the number of social posts dedicated to a specific skill can be a strong indicator for future job requirements. This is an important finding because identifying what skills the labor force should acquire will assist job seekers to plan their lifelong learning objectives to (a) maximize their employability, (b) continuously update their skills to remain in demand, and (c) be informed and actively engaged in defining knowledge trends, rather than reactively becoming informed of the latest information.

[1]  Simon Scerri,et al.  Generating an Evolving Skills Network from Job Adverts for High-Demand Skillset Discovery , 2020, WISE.

[2]  R. Margo,et al.  Human Capital in History: The American Record , 2014 .

[3]  Jinhui Yao,et al.  Understanding the Skill Provision in Gig Economy from A Network Perspective , 2019, Proc. ACM Hum. Comput. Interact..

[4]  Munmun De Choudhury,et al.  Measuring and Characterizing Nutritional Information of Food and Ingestion Content in Instagram , 2015, WWW.

[5]  Airi Lampinen,et al.  Studying the "Sharing Economy": Perspectives to Peer-to-Peer Exchange , 2015, CSCW Companion.

[6]  Denise Gorse,et al.  Predicting cryptocurrency price bubbles using social media data and epidemic modelling , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

[7]  Gary Klein,et al.  Job burnout of the information technology worker: Work exhaustion, depersonalization, and personal accomplishment , 2013, Inf. Manag..

[8]  Snorre S. Frid-Nielsen,et al.  Find my next job: labor market recommendations using administrative big data , 2019, RecSys.

[9]  Rainer Alt,et al.  Sharing Economy , 2016, Bus. Inf. Syst. Eng..

[10]  Enhong Chen,et al.  Trend-Aware Tensor Factorization for Job Skill Demand Analysis , 2019, IJCAI.

[11]  C. Granger Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[12]  Hui Xiong,et al.  Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach , 2017, AAAI.

[13]  Juan M. Corchado,et al.  Hybrid job offer recommender system in a social network , 2019, Expert Syst. J. Knowl. Eng..

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

[15]  Martina Ziefle,et al.  The Golden Age of Silver Workers? - The Role of Age in the Perception of Increasing Digital Work Environments , 2019, HCI.

[16]  Veronica Rossano,et al.  A Simulation Game to Acquire Skills on Industry 4.0 , 2020, HCI.

[17]  A. Stewart,et al.  Regulating work in the gig economy: What are the options? , 2017 .

[18]  Munmun De Choudhury,et al.  LibRA: On LinkedIn based Role Ambiguity and Its Relationship with Wellbeing and Job Performance , 2019, Proc. ACM Hum. Comput. Interact..

[19]  Anne-Laure Fayard Notes on the Meaning of Work: Labor, Work, and Action in the 21st Century , 2019, Journal of Management Inquiry.

[20]  Marian Kremers 2021 , 2021, Vakblad Sociaal Werk.

[21]  Naomi Nagata,et al.  An e-Learning System Using Gamification to Support Preliminary Learning for Job Hunting , 2018, HCI.

[22]  Munmun De Choudhury,et al.  Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media , 2016, CSCW.

[23]  Airi Lampinen,et al.  CSCW and theSharing Economy: The Future of Platforms as Sites of Work Collaboration and Trust , 2016, CSCW Companion.

[24]  Aron Culotta,et al.  Using matched samples to estimate the effects of exercise on mental health from twitter , 2015, AAAI 2015.

[25]  M. Burgin,et al.  Technology in education , 1999, FIE'99 Frontiers in Education. 29th Annual Frontiers in Education Conference. Designing the Future of Science and Engineering Education. Conference Proceedings (IEEE Cat. No.99CH37011.

[26]  Colin M. Gray,et al.  "What do you recommend a complete beginner like me to practice?" , 2018, Proc. ACM Hum. Comput. Interact..

[27]  R. Pech,et al.  Human capital in the new economy: devil's bargain? , 2004 .

[28]  Daren C. Brabham Crowdsourcing as a Model for Problem Solving , 2008 .

[29]  KouYubo,et al.  What do you recommend a complete beginner like me to practice , 2018 .

[30]  Ann Svensson,et al.  The Dark Sides of Technology - Barriers to Work-Integrated Learning , 2020, HCI.

[31]  Lawrence F. Katz,et al.  Technical Change and the Relative Demand for Skilled Labor: The United States in Historical Perspective , 2013 .

[32]  Fabio Mercorio,et al.  AI meets labor market: Exploring the link between automation and skills , 2019, Information Economics and Policy.

[33]  Aron Lindberg,et al.  Does Sleep Deprivation Cause Online Incivility? Evidence from a Natural Experiment , 2019, ICIS.

[34]  Alp Simsek,et al.  Stock Market Wealth and the Real Economy: A Local Labor Market Approach , 2019, American Economic Review.

[35]  Thongchai Kaewkiriya Design of Framework for Students Recommendation System in Information Technology Skills , 2015, HCI.

[36]  S. Kiesler,et al.  The kindness of strangers: on the usefulness of electronic weak ties for technical advice , 1996 .

[37]  Jiebo Luo,et al.  Understanding what affects career progression using linkedin and twitter data , 2017, 2017 IEEE International Conference on Big Data (Big Data).

[38]  Thomas Ludwig,et al.  Better Supporting Workers in ML Workplaces , 2019, CSCW Companion.

[39]  C. Granger Causality, cointegration, and control , 1988 .

[40]  K. Selçuk Candan,et al.  How Does the Data Sampling Strategy Impact the Discovery of Information Diffusion in Social Media? , 2010, ICWSM.

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

[42]  Lefteris Angelis,et al.  Extracting Knowledge From On-Line Sources for Software Engineering Labor Market: A Mapping Study , 2019, IEEE Access.

[43]  Ellie Harmon,et al.  Digital labour platforms and the future of work , 2018 .

[44]  Munmun De Choudhury,et al.  A Social Media Study on Demographic Differences in Perceived Job Satisfaction , 2021, Proc. ACM Hum. Comput. Interact..

[45]  Jennifer Marlow,et al.  From rookie to all-star: professional development in a graphic design social networking site , 2014, CSCW.

[46]  K. Hadri Testing The Null Hypothesis Of Stationarity Against The Alternative Of A Unit Root In Panel Data With Serially Correlated Errors , 1999 .

[47]  Olivia Crosby New and Emerging Occupations. , 2002 .

[48]  Fabian Abel We Know Where You Should Work Next Summer: Job Recommendations , 2015, RecSys.

[49]  Bernhard Schölkopf,et al.  Uncovering the structure and temporal dynamics of information propagation , 2014, Network Science.

[50]  The Impact of Social Networks on Labour Market Outcomes: New Evidence from Cape Breton , 2013 .

[51]  Hui Xiong,et al.  Recruitment Market Trend Analysis with Sequential Latent Variable Models , 2016, KDD.

[52]  Phoebe V. Moore,et al.  OSH and the Future of Work: Benefits and Risks of Artificial Intelligence Tools in Workplaces , 2019, HCI.

[53]  Katrien Verbert,et al.  Dashboard for Actionable Feedback on Learning Skills: Scalability and Usefulness , 2017, HCI.

[54]  Helen L. Partridge,et al.  Social Media and Tacit Knowledge Sharing: Developing a Conceptual Model , 2012 .

[55]  Diego Collarana,et al.  Ontology-guided Job Market Demand Analysis: A Cross-Sectional Study for the Data Science field , 2017, SEMANTICS.

[56]  Myk Garn AfterNext: Decoding the Future of Higher Education in 2030 , 2015, HCI.

[57]  Valerio De Stefano The rise of the "just-in-time workforce": on-demand work, crowdwork and labour protection in the "gig-economy" , 2015 .

[58]  Keiichiro Hoashi,et al.  Crowdsourcing GO: Effect of Worker Situation on Mobile Crowdsourcing Performance , 2017, CHI.

[59]  Munmun De Choudhury,et al.  Characterizing Audience Engagement and Assessing Its Impact on Social Media Disclosures of Mental Illnesses , 2018, ICWSM.

[60]  Tawanna Dillahunt,et al.  DreamGigs: Designing a Tool to Empower Low-Resource Job Seekers , 2019, CHI.

[61]  M. Siničáková,et al.  Labor Market Indicators and Their Causalities: The Case of the New European Union Member States , 2012 .

[62]  Yasha Wang,et al.  Understanding and Predicting the Burst of Burnout via Social Media , 2021, Proc. ACM Hum. Comput. Interact..

[63]  Aristides Gionis,et al.  Correlating financial time series with micro-blogging activity , 2012, WSDM '12.

[64]  Ebrahim Bagheri,et al.  Causal Dependencies for Future Interest Prediction on Twitter , 2018, CIKM.

[65]  Jiri Vasek,et al.  Design Towards AI-Powered Workplace of the Future , 2018, HCI.

[66]  Olivia J. Walch,et al.  Geographically Resolved Rhythms in Twitter Use Reveal Social Pressures on Daily Activity Patterns , 2018, Current Biology.

[67]  Mark Dredze,et al.  Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media , 2016, CHI.

[68]  Jano Moreira de Souza,et al.  The future of work: Insights for CSCW , 2017, CSCWD.

[69]  Patrick Lincoln,et al.  bRIGHT - Workstations of the Future and Leveraging Contextual Models , 2018, HCI.

[70]  J. -. Klerk,et al.  The impact of social media on recruitment: Are you LinkedIn? , 2018 .

[71]  Vachik S. Dave,et al.  A Combined Representation Learning Approach for Better Job and Skill Recommendation , 2018, CIKM.

[72]  Munmun De Choudhury,et al.  Measuring the Impact of Anxiety on Online Social Interactions , 2018, ICWSM.

[73]  Fenglian Wang,et al.  Threat or Opportunity - Analysis of the Impact of Artificial Intelligence on Future Employment , 2020, HCI.

[74]  Dehua Shen,et al.  Does twitter predict Bitcoin? , 2019, Economics Letters.

[75]  Nicole Immorlica,et al.  Power Struggles in the Digital Economy: Platforms, Workers, and Markets , 2018, CSCW Companion.

[76]  W. Fuller,et al.  LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME SERIES WITH A UNIT ROOT , 1981 .

[77]  Kyriaki Kalimeri,et al.  Artificial Intelligence and Concerns About the Future: A Case Study in Norway , 2020, HCI.

[78]  Rizwan Mushtaq,et al.  Augmented Dickey Fuller Test , 2011 .

[79]  Keith N. Hampton,et al.  Does the Internet Increase, Decrease, or Supplement Social Capital? , 2001 .

[80]  Yezheng Liu,et al.  Targeted influence maximization under a multifactor-based information propagation model , 2020, Inf. Sci..

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

[82]  Obinna Anya,et al.  Back to the future of organizational work: crowdsourcing and digital work marketplaces , 2014, CSCW Companion.

[83]  Jure Leskovec,et al.  Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior , 2016, WSDM.

[84]  Andrew P. McAfee,et al.  Human work in the robotic future , 2016 .

[85]  Frank J. Fabozzi,et al.  Trade the tweet: Social media text mining and sparse matrix factorization for stock market prediction , 2016 .

[86]  R. Berk An introduction to sample selection bias in sociological data. , 1983 .

[87]  Scott Counts,et al.  Measuring Professional Skill Development in U.S. Cities Using Internet Search Queries , 2019, ICWSM.

[88]  Kush R. Varshney,et al.  The Effect of Extremist Violence on Hateful Speech Online , 2018, ICWSM.

[89]  Colin M. Gray,et al.  Towards Professionalization in an Online Community of Emerging Occupation: Discourses among UX Practitioners , 2018, GROUP.

[90]  Yasmine Kotturi,et al.  The Future of Work(places): Creating a Sense of Place for On-demand Work , 2019, CSCW Companion.

[91]  Emre Kiciman,et al.  Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media , 2017, CSCW.