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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Information definition. http://ecomputernotes.com/fundamental/information-technology/what-do-you-mean-by-data-and-information. Last accessed 21 June 2019
Credibility definition. https://en.oxforddictionaries.com/definition/credibility. Last accessed 21 June 2019
Significance of INFORMATION CREDIBILITY. https://www.quora.com/Why-is-it-important-to-use-credible-sources-of-information-in-professional-practice. Last accessed 21 June 2019
Information credibility need. https://www.meltwater.com/blog/the-importance-of-content-authenticity-and-credibility/. Last accessed 21 June 2019
Alexander, J.E., Tate, M.A.: Web Wisdom; How to Evaluate and Create Information Quality on the Webb, 1st edn. L. Erlbaum Assoc. Inc., Hillsdale, NJ, USA (1999)
Metzger, M.J., Flanagin, A.J., Eyal, K., Lemus, D.R., McCann, R.M.: Credibility for the 21st century: integrating perspectives on source, message, and media credibility in the contemporary media environment. Ann. Int. Commun. Assoc. 27(1), 293–335 (2016)
News article. https://www.sciencedaily.com/releases/2018/10/181011173106.htm
Information credibility compromises. https://www.reviewtrackers.com/oops-businesses-caught-posting-fake-reviews-online/. Last accessed 21 June 2019
Amazon fake reviews. https://www.theguardian.com/technology/2015/oct/18/amazon-sues-1000-fake-reviewers. Last accessed 21 June 2019
News article. https://www.theguardian.com/world/2018/sep/12/man-jailed-italy-selling-fake-tripadvisor-reviews-promo-salento. Last accessed 21 June 2019
Fakespot tool. https://www.amzdiscover.com/blog/3-free-fake-reviews-detectors-to-help-you-spot-fake-reviews-on-amazon/. Last accessed 21 June 2019
Steps to use ReviewMeta. https://www.inc.com/jessica-stillman/heres-how-to-spot-fake-online-reviews-with-90-perc.html. Last accessed 21 June 2019
Steps to use ReviewIndex. https://thereviewindex.com/in. Last accessed 21 June 2019
Castillo, C., Mendoza, M., Poblete, B.: Information credibility on twitter. In: Proceedings of the 20th International Conference on World wide web (WWW ’11), ACM, New York, NY, USA, pp 675–684 (2011)
Kwon, S., Cha, M., Jung, K., Chen, W., Wang, Y.: Prominent features of rumor propagation in online social media. In: Proceedings of the IEEE 13th International Conference on Data Mining, IEEE Xplore, pp 1103–1108 (2014)
Language analysis. http://www.modernhoot.com/tag/fake-reviews/. Last accessed 21 June 2019
Tools comparative study. https://reviewmeta.com/blog/fakespot-vs-reviewmeta-for-analyzing-reviews/. Last accessed 21 June 2019
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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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DOI: https://doi.org/10.1007/978-981-15-4032-5_11
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