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Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

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Cited by:

  1. Jacob Levy Abitbol & Eric Fleury & Márton Karsai, 2019. "Optimal Proxy Selection for Socioeconomic Status Inference on Twitter," Complexity, Hindawi, vol. 2019, pages 1-15, May.
  2. Brenda Curtis & Salvatore Giorgi & Anneke E K Buffone & Lyle H Ungar & Robert D Ashford & Jessie Hemmons & Dan Summers & Casey Hamilton & H Andrew Schwartz, 2018. "Can Twitter be used to predict county excessive alcohol consumption rates?," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-16, April.
  3. Dariusz Zdonek & Karol Król, 2021. "The Impact of Sex and Personality Traits on Social Media Use during the COVID-19 Pandemic in Poland," Sustainability, MDPI, vol. 13(9), pages 1-27, April.
  4. Karol Król & Dariusz Zdonek, 2021. "Most Often Motivated by Social Media: The Who, the What, and the How Much—Experience from Poland," Sustainability, MDPI, vol. 13(20), pages 1-20, October.
  5. Olga Bogolyubova & Polina Panicheva & Yanina Ledovaya & Roman Tikhonov & Bulat Yaminov, 2020. "The Language of Positive Mental Health: Findings From a Sample of Russian Facebook Users," SAGE Open, , vol. 10(2), pages 21582440209, May.
  6. Yunhwan Kim & Sunmi Lee, 2021. "Personality of Public Health Organizations’ Instagram Accounts and According Differences in Photos at Content and Pixel Levels," IJERPH, MDPI, vol. 18(8), pages 1-15, April.
  7. Jonathan M. Casper & Brian P. McCullough & Danielle M. Kushner Smith, 2021. "Pro-Environmental Sustainability and Political Affiliation: An Examination of USA College Sport Sustainability Efforts," IJERPH, MDPI, vol. 18(11), pages 1-17, May.
  8. Jean M. Twenge & Hannah VanLandingham & W. Keith Campbell, 2017. "The Seven Words You Can Never Say on Television: Increases in the Use of Swear Words in American Books, 1950-2008," SAGE Open, , vol. 7(3), pages 21582440177, August.
  9. Tata, Amulya & Martinez, Daniella Laureiro & Garcia, David & Oesch, Adrian & Brusoni, Stefano, 2017. "The psycholinguistics of entrepreneurship," Journal of Business Venturing Insights, Elsevier, vol. 7(C), pages 38-44.
  10. Fisch, Christian & Block, Jörn H., 2021. "How does entrepreneurial failure change an entrepreneur's digital identity? Evidence from Twitter data," Journal of Business Venturing, Elsevier, vol. 36(1).
  11. Yue Han & Theodoros Lappas & Gaurav Sabnis, 2020. "The Importance of Interactions Between Content Characteristics and Creator Characteristics for Studying Virality in Social Media," Information Systems Research, INFORMS, vol. 31(2), pages 576-588, June.
  12. H. Andrew Schwartz & Lyle H. Ungar, 2015. "Data-Driven Content Analysis of Social Media," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 78-94, May.
  13. Brencic, Vera & McGee, Andrew, 2023. "Employers’ Demand for Personality Traits and Provision of Incentives," Working Papers 2023-14, University of Alberta, Department of Economics.
  14. Chunhua Ju & Qiuyang Gu & Yi Fang & Fuguang Bao, 2020. "Research on User Influence Model Integrating Personality Traits under Strong Connection," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
  15. Ian D. Gow & Steven N. Kaplan & David F. Larcker & Anastasia A. Zakolyukina, 2016. "CEO Personality and Firm Policies," NBER Working Papers 22435, National Bureau of Economic Research, Inc.
  16. Karel Hrazdil & Fereshteh Mahmoudian & Jamal A. Nazari, 2021. "Executive personality and sustainability: Do extraverted chief executive officers improve corporate social responsibility?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(6), pages 1564-1578, November.
  17. Daniel Hoppe & Helen Keller & Felix Horstmann, 2022. "Got Employer Image? How Applicants Choose Their Employer," Corporate Reputation Review, Palgrave Macmillan, vol. 25(2), pages 139-159, May.
  18. Daniel Preoţiuc-Pietro & Svitlana Volkova & Vasileios Lampos & Yoram Bachrach & Nikolaos Aletras, 2015. "Studying User Income through Language, Behaviour and Affect in Social Media," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-17, September.
  19. Hrazdil, Karel & Novak, Jiri, 2023. "Executive personality and the gender pay gap," Finance Research Letters, Elsevier, vol. 53(C).
  20. Bianca E. Lopez & Nicholas R. Magliocca & Andrew T. Crooks, 2019. "Challenges and Opportunities of Social Media Data for Socio-Environmental Systems Research," Land, MDPI, vol. 8(7), pages 1-18, July.
  21. Troy Curry & Arie Croitoru & Andrew Crooks & Anthony Stefanidis, 2019. "Exodus 2.0: crowdsourcing geographical and social trails of mass migration," Journal of Geographical Systems, Springer, vol. 21(1), pages 161-187, March.
  22. Lorenza Lucchi Basili & Pier Luigi Sacco, 2016. "Tie-Up Cycles in Long-Term Mating. Part I: Theory," Challenges, MDPI, vol. 7(1), pages 1-43, May.
  23. Niklas Ziemann, 2022. "You will receive your money next week! Experimental evidence on the role of Future-Time Reference for intertemporal decision-making," CEPA Discussion Papers 56, Center for Economic Policy Analysis.
  24. Mikkel Wallentin, 2018. "Sex differences in post-stroke aphasia rates are caused by age. A meta-analysis and database query," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-18, December.
  25. Hannes Rosenbusch & Maya Aghaei & Anthony M. Evans & Marcel Zeelenberg, 2021. "Psychological trait inferences from women’s clothing: human and machine prediction," Journal of Computational Social Science, Springer, vol. 4(2), pages 479-501, November.
  26. Jungmin Kim & Juyong Park & Wonjae Lee, 2018. "Why do people move? Enhancing human mobility prediction using local functions based on public records and SNS data," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-29, February.
  27. Gallus, Jana & Bhatia, Sudeep, 2020. "Gender, power and emotions in the collaborative production of knowledge: A large-scale analysis of Wikipedia editor conversations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 115-130.
  28. Jong Hwan Suh, 2022. "Machine-Learning-Based Gender Distribution Prediction from Anonymous News Comments: The Case of Korean News Portal," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
  29. Martin Obschonka & Neil Lee & Andrés Rodríguez-Pose & Johannes C. Eichstaedt & Tobias Ebert, 2020. "Big data methods, social media, and the psychology of entrepreneurial regions: capturing cross-county personality traits and their impact on entrepreneurship in the USA," Small Business Economics, Springer, vol. 55(3), pages 567-588, October.
  30. Eszter Hargittai, 2015. "Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 63-76, May.
  31. Song, Min & Xie, Qing, 2020. "Characterizing the psychiatric drug responses of Reddit users from a socialomics perspective," Journal of Informetrics, Elsevier, vol. 14(3).
  32. Liang Xu & Min Xu & Zehua Jiang & Xin Wen & Yishan Liu & Zaoyi Sun & Hongting Li & Xiuying Qian, 2023. "How have music emotions been described in Google books? Historical trends and corpus differences," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
  33. Madhura Jayaratne & Buddhi Jayatilleke, 2022. "Predicting job-hopping motive of candidates using answers to open-ended interview questions," Journal of Computational Social Science, Springer, vol. 5(1), pages 611-628, May.
  34. Karel Hrazdil & Jiri Novak & Rafael Rogo & Christine Wiedman & Ray Zhang, 2020. "Measuring executive personality using machine‐learning algorithms: A new approach and audit fee‐based validation tests," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(3-4), pages 519-544, March.
  35. Lushi Chen & Tao Gong & Michal Kosinski & David Stillwell & Robert L Davidson, 2017. "Building a profile of subjective well-being for social media users," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-15, November.
  36. Robin Hirt & Niklas Kühl & Gerhard Satzger, 2019. "Cognitive computing for customer profiling: meta classification for gender prediction," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 93-106, March.
  37. Luo, Shuli & He, Sylvia Y., 2021. "Understanding gender difference in perceptions toward transit services across space and time: A social media mining approach," Transport Policy, Elsevier, vol. 111(C), pages 63-73.
  38. Vivek Kulkarni & Margaret L Kern & David Stillwell & Michal Kosinski & Sandra Matz & Lyle Ungar & Steven Skiena & H Andrew Schwartz, 2018. "Latent human traits in the language of social media: An open-vocabulary approach," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-18, November.
  39. Brenčič, Vera & McGee, Andrew, 2023. "Employers' Demand for Personality Traits," IZA Discussion Papers 16083, Institute of Labor Economics (IZA).
  40. Sandra C Matz & Jochen I Menges & David J Stillwell & H Andrew Schwartz, 2019. "Predicting individual-level income from Facebook profiles," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-13, March.
  41. David K. Diehl, 2019. "Language and interaction: applying sociolinguistics to social network analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 757-774, March.
  42. Rachel Winter & Anna Lavis, 2021. "The Impact of COVID-19 on Young People’s Mental Health in the UK: Key Insights from Social Media Using Online Ethnography," IJERPH, MDPI, vol. 19(1), pages 1-13, December.
  43. Salvatore Giorgi & David B. Yaden & Johannes C. Eichstaedt & Robert D. Ashford & Anneke E.K. Buffone & H. Andrew Schwartz & Lyle H. Ungar & Brenda Curtis, 2020. "Cultural Differences in Tweeting about Drinking Across the US," IJERPH, MDPI, vol. 17(4), pages 1-14, February.
  44. David G Serfass & Ryne A Sherman, 2015. "Situations in 140 Characters: Assessing Real-World Situations on Twitter," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-19, November.
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