Abstract
In big data sector, social media plays an important role for providing the biggest amount of unstructured data. Twitter is one such social media platform for dissipating unverified information during the time of disaster like cyclones, earthquake and flood. Veracity is the degree to which the information is accurate and trusted. The main objective of this paper is to identify the veracity of the rumour and find the source of the rumour. The authors analyse the PHEME data set in which the Sydneysiege event is chosen for analysis. This paper proposes a novel and hybrid rumour source–detector approach which combines the merits of graph and tree data structures. It identifies the source node traversing through general tree and predicts the rumour-spreading possibilities with general graph using spanning tree.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Symantec Corporation. Istr: Internet Security Threat Report 2013
Zubiaga, A., Liakata, M., Procter, R., Bontcheva, K., Tolmie, P.: Towards detecting rumours in social media. In: AAAI Workshop: AI for Cities (April 2015)
Takayasu, M., Sato, K., Sano, Y., Yamada, K., Miura, W., Takayasu, H.: Rumour diffusion and convergence during the 3.11 earthquake: a Twitter case study. PLoS one 10(4), e0121443 (2015)
Gupta, A., Lamba, H., Kumaraguru, P.: $1.00 per rt #bostonmarathon #prayforboston: analyzing fake content on Twitter. In: Proceedings of the Eighth IEEE APWG eCrime Research Summit (eCRS), p. 12. IEEE (2013)
Gupta, A., et al.: Tweetcred: real-time credibility assessment of content on Twitter. In: International Conference on Social Informatics. Springer, Cham (2014)
Shah, D., Zaman, T.: Rumour centrality: a universal source detector. In: ACM SIGMETRICS Performance Evaluation Review, vol. 40, no. 1. ACM (2012)
Zaman, T.R., Herbrich, R., Van Gael, J., Stern, D.: Predicting information spreading in Twitter. In: Workshop on computational social science and the wisdom of crowds, nips, vol. 104, no. 45, pp. 17599–17601. Citeseer (December 2010)
Qazvinian, V., Rosengren, E., Radev, D.R., Mei, Q.: Rumour has it: identifying misinformation in micro blogs. In: Proceedings of EMNLP, p. 1589–1599 (2011)
Procter, R., Vis, F., Voss, A.: Reading the riots on Twitter: methodological innovation for the analysis of big data. Int. J. Soc. Res. Methodol. 16(3), 197–214 (2013). https://doi.org/10.1080/13645579.2013.77417223
Starbird, K., Maddock, J., Orand, M., Achterman, P., Mason, R.M.: Rumours, FalseFlags, and digital vigilantes: misinformation on Twitter after the 2013 Boston Marathon Bombing. In: Proceedings of iConference.iSchools (2014)
Shah, D., Zaman, T.: Rumors in a network: who’s the culprit? IEEE Trans. Inf. Theory 57(8), 5163–5181 (2011)
Lukasik, M., Cohn, T., Bontcheva, K.: Classifying tweet level judgements of rumours in social media. arXiv preprint arXiv:1506.00468. (2015)
Zubiaga, A., Liakata, M., Procter, R., Hoi, G.W.S., Tolmie, P.: Analysing how people orient to and spread rumours in social media by looking at conversational threads. PLoS ONE 11(3), e0150989 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Suthanthira Devi, P., Karthika, S., Venugopal, P., Geetha, R. (2020). Veracity Analysis and Prediction in Social Big Data. In: Tuba, M., Akashe, S., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Advances in Intelligent Systems and Computing, vol 933. Springer, Singapore. https://doi.org/10.1007/978-981-13-7166-0_28
Download citation
DOI: https://doi.org/10.1007/978-981-13-7166-0_28
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-7165-3
Online ISBN: 978-981-13-7166-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)