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Behavioral Analysis of Active Facebook Users Using the NEO PI-R Model

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Advances in Data Sciences, Security and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 612))

Abstract

The growth of social media has a profound impact on the behavior of its users. Facebook was invented in 2004, and it has connected more people together than ever before. Regular use of Facebook has shown to affect the user’s lifestyle, both in negative and positive ways. Facebook provides the idle platform for studying human psychology. This study uses the NEO PI-R model to identify the behavioral relations between various facets of the big five factors. A questionnaire containing non-identifying demographic questions and the NEO PI-R model was made and distributed. 293 distinct and anonymous entries were received to avoid any biasing. Correlations were deduced using Tableau to visualize the data.

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References

  1. Tyler TR (2002) Is the Internet changing social life? It seems the more things change, the more they stay the same. J Soc Issues 58(1):195–205

    Article  Google Scholar 

  2. https://www.statista.com/statistics/617136/digital-population-worldwide/

  3. https://www.statista.com/topics/2157/internet-usage-in-india/

  4. https://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/

  5. Hutter K, Hautz J, Dennhardt S, Füller J (2013) The impact of user interactions in social media on brand awareness and purchase intention: the case of MINI on Facebook. J Prod Brand Manag 22(5/6):342–351

    Article  Google Scholar 

  6. Patchin JW, Hinduja S (2006) Bullies move beyond the schoolyard: a preliminary look at cyberbullying. Youth Violence Juvenile Justice 4(2):148–169

    Article  Google Scholar 

  7. Gatti J (2009) AP-MTV digital abuse study

    Google Scholar 

  8. Pew Research Center (2018) Declining majority of online adults say the internet has been good for society, Apr 2018

    Google Scholar 

  9. Richardson K, Hessey S (2009) Archiving the self? Facebook as biography of social and relational memory. J Inf Commun Ethics Soc 7(1):25–38

    Article  Google Scholar 

  10. Sheldon KM, Abad N, Hinsch C (2011) A two-process view of Facebook use and relatedness need-satisfaction: disconnection drives use, and connection rewards it

    Google Scholar 

  11. Al-Saggaf Y, Nielsen S (2014) Self-disclosure on Facebook among female users and its relationship to feelings of loneliness. Comput Hum Behav 36:460–468

    Article  Google Scholar 

  12. Mcandrew FT, Jeong HS (2012) Who does what on Facebook? age, sex, and relationship status as predictors of Facebook use. Comput Hum Behav 28(6):2359–2365

    Article  Google Scholar 

  13. Back MD, Stopfer JM, Vazire S, Gaddis S, Schmukle SC, Egloff B, Gosling SD (2010) Facebook profiles reflect actual personality, not self-idealization. Psychol Sci 21(3):372–374

    Article  Google Scholar 

  14. Youyou W, Kosinski M, Stillwell D (2015) Computer-based personality judgments are more accurate than those made by humans. Proc Natl Acad Sci 112(4):1036–1040

    Article  Google Scholar 

  15. McCrae RR, John OP (1992) An introduction to the five-factor model and its applications. J Pers 60(2):175–215

    Article  Google Scholar 

  16. Costa PT, McCrae RR (2008) The revised neo personality inventory (neo-pi-r). In: The SAGE handbook of personality theory and assessment, vol 2(2), pp 179–198

    Google Scholar 

  17. Ross C, Orr ES, Sisic M, Arseneault JM, Simmering MG, Orr RR (2009) Personality and motivations associated with Facebook use. Comput Hum Behav 25(2):578–586

    Article  Google Scholar 

  18. Amichai-Hamburger Y, Vinitzky G (2010) Social network use and personality. Comput Hum Behav 26(6):1289–1295

    Article  Google Scholar 

  19. Mehdizadeh S (2010) Self-presentation 2.0: narcissism and self-esteem on Facebook. Cyberpsychol Behav Soc Netw 13(4):357–364

    Article  Google Scholar 

  20. Orr ES, Sisic M, Ross C, Simmering MG, Arseneault JM, Orr RR (2009) The influence of shyness on the use of Facebook in an undergraduate sample. Cyberpsychol Behav 12(3):337–340

    Article  Google Scholar 

  21. Sheldon P (2008) The relationship between unwillingness-to-communicate and students’ Facebook use. J Media Psychol 20(2):67–75

    Article  Google Scholar 

  22. Ryan T, Xenos S (2011) Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Comput Hum Behav 27(5):1658–1664

    Article  Google Scholar 

Download references

Acknowledgements

The questionnaire was circulated via the social media platforms like Facebook and Google groups in a broadcast manner. Involvement of the participants was anonymous and completely voluntary. No personal and identifiable information was collected from the individual participants. No face-to-face and personal interaction was made to the participants. The study was conducted with a belief that only volunteers have filled the questionnaire with clear understanding that the data will be used in the study of Facebook usage.

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Authors and Affiliations

  1. Chandigarh College of Engineering and Technology, Chandigarh, India

    Suhelbeer Singh Sandhu & Ankit Gupta

  2. Institute of Technology and Sciences, Mohan Nagar, Ghaziabad, India

    Garima Srivastav

Authors
  1. Suhelbeer Singh Sandhu
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  2. Ankit Gupta
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  3. Garima Srivastav
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Corresponding author

Correspondence to Suhelbeer Singh Sandhu .

Editor information

Editors and Affiliations

  1. Bharati Vidyapeeth’s College of Engineering, New Delhi, Delhi, India

    Vanita Jain

  2. Bharati Vidyapeeth’s College of Engineering, New Delhi, Delhi, India

    Gopal Chaudhary

  3. Gazi University, Ankara, Turkey

    M. Cengiz Taplamacioglu

  4. Indian Institute of Technology Mumbai, Mumbai, Maharashtra, India

    M. S. Agarwal

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Sandhu, S.S., Gupta, A., Srivastav, G. (2020). Behavioral Analysis of Active Facebook Users Using the NEO PI-R Model. In: Jain, V., Chaudhary, G., Taplamacioglu, M., Agarwal, M. (eds) Advances in Data Sciences, Security and Applications. Lecture Notes in Electrical Engineering, vol 612. Springer, Singapore. https://doi.org/10.1007/978-981-15-0372-6_24

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