IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v20y2018i6d10.1007_s10796-017-9793-8.html
   My bibliography  Save this article

Inducing Personalities and Values from Language Use in Social Network Communities

Author

Listed:
  • Upendra Kumar

    (Indian Institute of Information Technology)

  • Aishwarya N. Reganti

    (Indian Institute of Information Technology)

  • Tushar Maheshwari

    (Indian Institute of Information Technology)

  • Tanmoy Chakroborty

    (Indraprastha Institute of Information Technology)

  • Björn Gambäck

    (Norwegian University of Science and Technology
    RISE SICS AB)

  • Amitava Das

    (Indian Institute of Information Technology)

Abstract

A community in social networks is generally assumed to be composed of a group of individuals with similar characteristics. Although there has been a plethora of work on understanding network topologies (edge density, clustering coefficient, etc.) within an online community, the psycho-sociological compositions of social network communities have hardly been studied. The present paper aims to analyse the communities as composition of induced psycholinguistic and sociolinguistic variables (Personalities, Values and Ethics) across individuals in social media networks. The motivation behind this analysis is to understand the behavioural characteristics at individual as well as societal level in social networks. To this end, three studies were carried out on six different datasets: three Twitter corpora, two Facebook corpora, and an Essay corpus, annotated with Values and Ethics of the users. First, experiments on creating automatic models to determine the Personality and Values of individuals by analysing their language usage and social media behaviour. Second, experiments on understanding the characteristics or blend of characteristics of individuals within an online community. Finally, generation of a map of values and ethics for India, a multi-lingual and multi-cultural country. Striking similarities to general intuitive perception could be observed, i.e., the results obtained in the study resemble our general perception about the cities/towns of India.

Suggested Citation

  • Upendra Kumar & Aishwarya N. Reganti & Tushar Maheshwari & Tanmoy Chakroborty & Björn Gambäck & Amitava Das, 2018. "Inducing Personalities and Values from Language Use in Social Network Communities," Information Systems Frontiers, Springer, vol. 20(6), pages 1219-1240, December.
  • Handle: RePEc:spr:infosf:v:20:y:2018:i:6:d:10.1007_s10796-017-9793-8
    DOI: 10.1007/s10796-017-9793-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-017-9793-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-017-9793-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
    2. Shang, Jiaxing & Liu, Lianchen & Li, Xin & Xie, Feng & Wu, Cheng, 2015. "Epidemic spreading on complex networks with overlapping and non-overlapping community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 171-182.
    3. Kahle, Lynn R & Beatty, Sharon E & Homer, Pamela, 1986. "Alternative Measurement Approaches to Consumer Values: The List of Values (LOV) and Values and Life Style (VALS)," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(3), pages 405-409, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ludovico Boratto & Salvatore Carta & Andreas Kaltenbrunner & Matteo Manca, 2018. "Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era," Information Systems Frontiers, Springer, vol. 20(6), pages 1153-1156, December.
    2. Xiongfei Cao & Ali Nawaz Khan & Ahsan Ali & Naseer Abbas Khan, 2020. "Consequences of Cyberbullying and Social Overload while Using SNSs: A Study of Users’ Discontinuous Usage Behavior in SNSs," Information Systems Frontiers, Springer, vol. 22(6), pages 1343-1356, December.
    3. Xiongfei Cao & Ali Nawaz Khan & Ahsan Ali & Naseer Abbas Khan, 0. "Consequences of Cyberbullying and Social Overload while Using SNSs: A Study of Users’ Discontinuous Usage Behavior in SNSs," Information Systems Frontiers, Springer, vol. 0, pages 1-14.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Jianshe & Zhang, Long & Li, Yong & Jiao, Yang, 2016. "Partition signed social networks via clustering dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 568-582.
    2. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    3. Karel Mertens & Morten O. Ravn, 2012. "Empirical Evidence on the Aggregate Effects of Anticipated and Unanticipated US Tax Policy Shocks," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 145-181, May.
    4. Daniel L. Thornton, 2007. "The daily and policy-relevant liquidity effects," Working Papers 2007-001, Federal Reserve Bank of St. Louis.
    5. Maccini, Louis J. & Moore, Bartholomew & Schaller, Huntley, 2015. "Inventory behavior with permanent sales shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 290-313.
    6. Söderlind, Paul, 1995. "Forward Interest Rates as Indicators of Inflation Expectations," CEPR Discussion Papers 1313, C.E.P.R. Discussion Papers.
    7. Virginie Coudert & Benoît Mojon, 1997. "Asymétries financières et transmission de la politique monétaire en Europe," Économie et Prévision, Programme National Persée, vol. 128(2), pages 41-60.
    8. Alfredo Pereira & Jorge Andraz, 2012. "On the economic and budgetary effects of investments in SCUTS: the Portuguese toll-free highways," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(1), pages 321-338, February.
    9. Michael D. Bauer & Eric T. Swanson, 2023. "An Alternative Explanation for the "Fed Information Effect"," American Economic Review, American Economic Association, vol. 113(3), pages 664-700, March.
    10. G. Peersman & W. Wagner, 2014. "Shocks to Bank Lending, Risk-Taking, Securitization, and their Role for U.S. Business Cycle Fluctuations," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/874, Ghent University, Faculty of Economics and Business Administration.
    11. Carlo A. Favero, 2007. "Model Evaluation in Macroeconometrics: from early empirical macroeconomic models to DSGE models," Working Papers 327, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    12. Ernst Konrad, 2009. "The impact of monetary policy surprises on asset return volatility: the case of Germany," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(2), pages 111-135, June.
    13. Svensson, Lars E. O., 1999. "Inflation targeting as a monetary policy rule," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 607-654, June.
    14. Ehrmann, M. & Worms, A., 2001. "Interbank Lending and Monetary Policy Transmission: Evidence for Germany," Papers 73, Quebec a Montreal - Recherche en gestion.
    15. Basu, Susanto & Fernald, John G. & Shapiro, Matthew D., 2001. "Productivity growth in the 1990s: technology, utilization, or adjustment?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 117-165, December.
    16. M. Marzo, 2001. "Evaluating Monetary Policy Regimes: the Role of Nominal Rigidities," Working Papers 411, Dipartimento Scienze Economiche, Universita' di Bologna.
    17. Blanco, Emilio & Elosegui, Pedro & Izaguirre, Alejandro & Montes-Rojas, Gabriel, 2019. "Regional and state heterogeneity of monetary shocks in Argentina," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    18. Lastrapes, William D. & Selgin, George, 1995. "The liquidity effect: Identifying short-run interest rate dynamics using long-run restrictions," Journal of Macroeconomics, Elsevier, vol. 17(3), pages 387-404.
    19. Matthias Doepke, 2005. "Show me the money : retained earnings and the real effects of monetary shocks," Recherches économiques de Louvain, De Boeck Université, vol. 71(1), pages 5-34.
    20. Friederike Paetz, 2016. "Persönlichkeitsmerkmale als Segmentierungsvariablen: Eine empirische Studie [Personality traits for market segmentation: An empirical study]," Schmalenbach Journal of Business Research, Springer, vol. 68(3), pages 279-306, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:20:y:2018:i:6:d:10.1007_s10796-017-9793-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.