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Inducing Personalities and Values from Language Use in Social Network Communities

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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.

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Notes

  1. Image from Greg Ver Steeg, 2014, www.apparenthorizons.com.

  2. Image from Common Cause Foundation, 2011, http://valuesandframes.org.

  3. Image partially based on Figure 1 in Shalom H. Schwartz: “Basic Human Values: An Overview”, undated manuscript (2012?), Hebrew University of Jerusalem, Israel.

  4. https://www.mturk.com/.

  5. http://newsroom.fb.com/company-info/.

  6. https://about.twitter.com/company.

  7. http://twitter4j.org/.

  8. https://github.com/Jefferson-Henrique/GetOldTweets-java.

  9. http://mypersonality.org.

  10. http://circos.ca/.

  11. http://mallet.cs.umass.edu.

  12. http://ota.oucs.ox.ac.uk/headers/1054.xml.

  13. Fine-Grained Speech-Act classes: http://compprag.christopherpotts.net/swda.html.

  14. https://dev.twitter.com/rest/reference/get/geo/search.

  15. http://amitavadas.com/Values_Data.zip.

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Authors and Affiliations

  1. Indian Institute of Information Technology, Sri City, Andhra Pradesh, India

    Upendra Kumar, Aishwarya N. Reganti, Tushar Maheshwari & Amitava Das

  2. Indraprastha Institute of Information Technology, Delhi, (IIIT-D), India

    Tanmoy Chakroborty

  3. Norwegian University of Science and Technology, Trondheim, Norway

    Björn Gambäck

  4. RISE SICS AB, Kista, Stockholm, Sweden

    Björn Gambäck

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  1. Upendra Kumar
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  2. Aishwarya N. Reganti
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  3. Tushar Maheshwari
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  4. Tanmoy Chakroborty
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  5. Björn Gambäck
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  6. Amitava Das
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Correspondence to Upendra Kumar.

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Kumar, U., Reganti, A.N., Maheshwari, T. et al. Inducing Personalities and Values from Language Use in Social Network Communities. Inf Syst Front 20, 1219–1240 (2018). https://doi.org/10.1007/s10796-017-9793-8

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