Social networks have emerged as a fertile ground for the spread of rumors and misinformation in recent times. The increased rate of social networking owes to the popularity of social networks among the common people and user personality has been considered as a principal component in predicting individuals’ social media usage patterns. Several studies have been conducted to study the psychological factors influencing the social network usage of people but only a few works have explored the relationship between the user’s personality and their orientation to spread rumors. This research aims to investigate the effect of personality on rumor spread on social networks. In this work, we propose a psychologically-inspired fuzzy-based approach grounded on the Five-Factor Model of behavioral theory to analyze the behavior of people who are highly involved in rumor diffusion and categorize users into the susceptible and resistant group, based on their inclination towards rumor sharing. We conducted our experiments in almost 825 individuals who shared rumor tweets on Twitter related to five different events. Our study ratifies the truth that the personality traits of individuals play a significant role in rumor dissemination and the experimental results prove that users exhibiting a high degree of agreeableness trait are more engaged in rumor sharing activities and the users high in extraversion and openness trait restrain themselves from rumor propagation.
AlmudawiN.A., Social Computing: The Impact on Cultural Behavior, International Journal of Advanced Computer Science and Applications7(7) (2016), 236–244.
2.
ZubiagaA., LiakataM., ProcterR., HoiG.W. and TolmieP., Analysing how people orient to and spread rumours in social media by looking at conversational threads, PloS one11(3) (2016), e0150989.
3.
GuilleA., HacidH., FavreC. and ZighedD.A., Information diffusion in online social networks: A survey, ACM Sigmod Record42(2) (2013), 17–28.
4.
FardA.E., MohammadiM., ChenY. and Van de WalleB., Computational Rumor Detection Without Non-Rumor: A One-Class Classification Approach, IEEE Transactions on Computational Social Systems (2019).
5.
LiangG., HeW., XuC., ChenL. and ZengJ., Rumor identification in microblogging systems based on users’ behavior, IEEE Transactions on Computational Social Systems2(3) (2015), 99–108.
6.
Amichai-HamburgerY. and VinitzkyG., Social network use and personality, Computers in Human Behavior26(6) (2010), 1289–1295.
7.
CostaP.T. and McCraeR.R., The revised neo personality inventory (neo-pi-r), The SAGE handbook of personality theory and assessment2(2) (2008), 179–198.
8.
Amichai-HamburgerY., Internet and personality, Computers in Human Behavior18(1) (2002), 1–0.
9.
Amichai-HamburgerY. and Ben-ArtziE., Loneliness and Internet use, Computers in Human Behavior19(1) (2003), 71–80.
10.
AmielT. and SargentS.L., Individual differences in Internet usage motives, Computers in Human Behavior20(6) (2004), 711–726.
11.
LandersR.N. and LounsburyJ.W., An investigation of Big Five and narrow personality traits in relation to Internet usage, Computers in Human Behavior22(2) (2006), 283–293.
12.
RossC., OrrE.S., SisicM., ArseneaultJ.M., SimmeringM.G. and OrrR.R., Personality and motivations associated with Facebook use, Computers in Human Behavior25(2) (2009), 578–586.
13.
WilsonK., FornasierS. and WhiteK.M., Psychological predictors of young adults’ use of social networking sites, Cyberpsychology Behavior and Social Networking13(2) (2010), 173–177.
14.
GolbeckJ., RoblesC., EdmondsonM. and TurnerK., Predicting personality from twitter. In 2011 IEEE third international conference on privacy, security, risk and trust and 2011 IEEE third international conference on social computing (2011), (pp. 149–156). IEEE.
15.
QuerciaD., KosinskiM., StillwellD. and CrowcroftJ., Our twitter profiles, our selves: Predicting personality with twitter, In Third International Conference on Privacy, Security, Risk and Trust and Third International Conference on Social Computing 2011 Oct 9 (pp. 180–185). IEEE.
16.
KosinskiY., GraepelM., KohliT. and StillwellP., D. Personality and patterns of Facebook usage. In Proceedings of the 4th annual ACM web science conference (2012), (pp. 24–32). ACM.
17.
SumnerC., ByersA., BoocheverR. and ParkG.J., Predicting dark triad personality traits from twitter usage and a linguistic analysis of tweets, In 11th International Conference on Machine Learning and Applications (2012), (Vol. 2, pp. 386–393). IEEE.
18.
TkalcicM., FerwerdaM., SchedlB. and FusingM., Fusing social media cues: personality prediction from twitter and instagram, In Proceedings of the 25th international conference companion on world wide web 2016 Apr 11 (pp. 107–108). International World Wide Web Conferences Steering Committee.
19.
MarengoD. and SettanniD., M. Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis, Personality and Individual Differences124 (2018), 150–159.
20.
CarducciG., RizzoG., MontiD., PalumboE. and MorisioM., Twit Personality: Computing personality traits from tweets using word embeddings and supervised learning, Information9(5) (2018), 127.
21.
HuangJ. and SuQ., A rumor spreading model based on user browsing behavior analysis in microblog. In 10th International Conference on Service Systems and Service Management, (2013), (pp. 170–173). IEEE.
22.
LiQ., LiuX., FangR., NourbakhshA. and ShahS., User behaviors in newsworthy rumors: A case study of Twitter. In Tenth International AAAI Conference on Web and Social Media (2016).
23.
ChenX., The influences of personality and motivation on the sharing ofmisinformation on social media, I Conference 2016 Proceedings. (2016).
24.
GumelarG., AkbarZ. and ErikE., Engagement and the spread of fake news: Personality Trait asmoderator, In International Conference of Communication Science Research (ICCSR 2018) (2018), Atlantis Press.
25.
LiC., LiuF. and LiP., Ising model of user behavior decision in network rumor propagation, Discrete Dynamics in Nature and Society2018 (2018).
26.
LaiK., XiongX., JiangX., SunM. and HeL., Who falls for rumor? Influence of personality traits on false rumor belief, Personality and Individual Differences1(152) (2020), 109520.
27.
MikhaeilM. and El MougyA., The Effects of Personality Traits on the Lifetime of a Rumor, In International Conference on Practical Applications of Agents and Multi-Agent Systems 2020 Oct 7 (pp. 108–117). Springer, Cham.
28.
CostaP.T. and McCraeR.R., Normal personality assessment in clinical practice: The NEO Personality Inventory, Psychological Assessment4(1) (1992), 5.
29.
PowerR.A. and PluessM., Heritability estimates of the Big Five personality traits based on common genetic variants, Translational Psychiatry5(7) (2015), e604.
30.
InduV. and ThampiS.M., A nature-inspired approach based on Forest Fire model for modeling rumor propagation in social networks, Journal of Network and Computer Applications125 (2019), 28–41.
31.
MamdaniE.H., Advances in the linguistic synthesis of fuzzy controllers, International Journal of Man-Machine Studies8(6) (1976), 669–678.
32.
LiuX., NourbakhshA., LiQ., FangR. and ShahS., Real-time rumor debunking on twitter, In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management 2015 Oct 17 (pp. 1867–1870). ACM.
33.
MooreK. and McElroyJ.C., The influence of personality on Facebook usage, wall postings, and regret, Computers in Human Behavior28(1) (2012), 267–274.
