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Hoax and Faux of Information Credibility in Social Networks: Explored, Exemplified and Experimented

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1154))

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Abstract

The ever-evolving ubiquitous online social networks have been witnessing plethora of precarious, enigmatic and flabbergasted information imposing a probe on its credibility, in the recent state of affairs. This has posed interesting challenges in context of research on information credibility, pinpointing the trustworthiness, necessity and influence of privacy and security in online social media. This paper primarily focuses on the increasing inundation of idiosyncrasies in online social media, the significance of ensuring credibility of information, and incidental collated compromises apropos to online reviews. The crux of this paper implicates investigation of the prevalent opinion spammers that distorts the perceived quality of a product via fraudulent reviews. These falsified reviews’ progressive proliferation have been explored, exemplified and experimented with the tools, viz. “Fakespot,” “ReviewMeta” and “Review Index” demonstrating action, detection and prevention from the coherent and inherent fraud-bots which are intentionally targeted on large online app review databases entailing deceptive and skeptic opinions.

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Correspondence to Ram Chatterjee .

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Chatterjee, R., Thakur, H.K., Sethi, R., Pandey, A. (2020). Hoax and Faux of Information Credibility in Social Networks: Explored, Exemplified and Experimented. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-15-4032-5_11

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