A Bio-Inspired Defensive Rumor Confinement Strategy in Online Social Networks

A Bio-Inspired Defensive Rumor Confinement Strategy in Online Social Networks

Santhoshkumar Srinivasan (Vellore Institute of Technology, Vellore, India) and Dhinesh Babu L. D. (Vellore Institute of Technology, Vellore, India)
Copyright: © 2021 |Pages: 24
DOI: 10.4018/JOEUC.2021010103
Article PDF Download
Open access articles are freely available for download

Abstract

Online social networks (OSNs) are used to connect people and propagate information around the globe. Along with information propagation, rumors also penetrate across the OSNs in a massive order. Controlling the rumor propagation is utmost important to reduce the damage it causes to society. Educating the individual participants of OSNs is one of the effective ways to control the rumor faster. To educate people in OSNs, this paper proposes a defensive rumor control approach that spreads anti-rumors by the inspiration from the immunization strategies of social insects. In this approach, a new information propagation model is defined to study the defensive nature of true information against rumors. Then, an anti-rumor propagation method with a set of influential spreaders is employed to defend against the rumor. The proposed approach is compared with the existing rumor containment approaches and the results indicate that the proposed approach works well in controlling the rumors.
Article Preview
Top

1. Introduction

The proliferation of internet-enabled devices such as smartphones has led to the increased usage of Online Social Networks (OSNs) for real-time information sharing (Leskovec, Backstrom, & Kleinberg, 2009; Guille, Hacid, Favre, & Zighed, 2013). This kind of information sharing helps the society in dissemination of the useful information on a large scale in a shorter duration (Bakshy, Rosenn, Marlow, & Adamic, 2012). Also, OSNs are helping for the growth of organizational businesses by finding new customer bases/marketing medium (Pham, Tran, Thipwong, & Huang, 2019) and OSNs serve as organization’s crucial decision propagation platform during disastrous events (Ngamassi, Ramakrishnan, & Rahman, 2016; Subramaniyaswamy, et al., 2017). However, along with useful information propagation and increasing the business prospects, OSNs also serve as fertile land for false information or rumor propagation on an unprecedented scale (Wen, et al., 2015). For example, in 2013, there was a rumor initiated at OSNs related to Barack Obama's injury in an explosion at the White House. This rumor has made a major crackdown on the U.S stock market amounted to U.S dollar 136.5 billion within three minutes of propagation (Domm, 2013) (Foster, 2013). This shows that the rumor spreads faster than normal information in online mediums like OSNs (Doerr, Fouz, & Friedrich, 2011). Such an exacerbated propagation causes irreversible damage to society during emergency events as a negative effect. Consequently, researches on identifying and controlling the rumors have been a rising recent interest among industry experts and academicians.

Rumor in OSNs can be defined as an information/story that is unverified or authenticity source is unknown during its circulation in the network (DiFonzo & Bordia, 2007). There have been various research works to protect the OSNs from rumors through different methodologies such as: blocking rumor spread through node blocking (Hu, Pan, Hou, & He, 2018) and link blocking (Kimura, Saito, & Motoda, 2009), defeating rumor spread through ‘anti-rumor’ information as a protective mechanism (Li, Zhu, Li, Kim, & Huang, 2013; Afassinou, 2014; Tong, et al., 2017). In a real-world situation, blocking the individuals has privacy and user agreement issues in large scale networks like OSNs (Ahn, Shehab, & Squicciarini, 2011; Huber, Weippl, Kitzler, & Goluch, 2011). So, the protective mechanism through anti-rumor information is a widely accepted and more focused solution domain for rumor containment problems (Tripathy, Bagchi, & Mehta, 2010).

When a rumor spreads in OSNs, the authorities or individuals in the network identify true information against the rumor and propagate it in the network (Ji, Liu, & Xiang, 2014). This act of defending against rumors through anti-rumor propagation protects the OSNs by breaking the rumor in the network. This defensive mechanism to protect OSNs can be studied from the defensive mechanism of social insects to protect against the pathogen in the real-world. The defensive mechanism of both possesses the same behavior such as one-to-one contact, fast-spreading of epidemics in the system of social insects (Naug & Camazine, 2002) and OSNs (Doerr, Fouz, & Friedrich, 2011), and defending protection using the set of individuals against the epidemics in social insects (Myles, 2002) as well as OSNs (Li, Zhu, Li, Kim, & Huang, 2013). Hence, the defending protection mechanism of social insects is employed in the proposed approach to control the rumors in OSNs.

Complete Article List

Search this Journal:
Reset
Volume 34: 3 Issues (2022): 2 Released, 1 Forthcoming
Volume 33: 6 Issues (2021)
Volume 32: 4 Issues (2020)
Volume 31: 4 Issues (2019)
Volume 30: 4 Issues (2018)
Volume 29: 4 Issues (2017)
Volume 28: 4 Issues (2016)
Volume 27: 4 Issues (2015)
Volume 26: 4 Issues (2014)
Volume 25: 4 Issues (2013)
Volume 24: 4 Issues (2012)
Volume 23: 4 Issues (2011)
Volume 22: 4 Issues (2010)
Volume 21: 4 Issues (2009)
Volume 20: 4 Issues (2008)
Volume 19: 4 Issues (2007)
Volume 18: 4 Issues (2006)
Volume 17: 4 Issues (2005)
Volume 16: 4 Issues (2004)
Volume 15: 4 Issues (2003)
Volume 14: 4 Issues (2002)
Volume 13: 4 Issues (2001)
Volume 12: 4 Issues (2000)
Volume 11: 4 Issues (1999)
Volume 10: 4 Issues (1998)
Volume 9: 4 Issues (1997)
Volume 8: 4 Issues (1996)
Volume 7: 4 Issues (1995)
Volume 6: 4 Issues (1994)
Volume 5: 4 Issues (1993)
Volume 4: 4 Issues (1992)
Volume 3: 4 Issues (1991)
Volume 2: 4 Issues (1990)
Volume 1: 3 Issues (1989)
View Complete Journal Contents Listing