Abstract
With the Internet accessible to more than half of the global population, online social network, especially Twitter, has become a highly impactful source of news and information. However not all the information spread through Twitter are credible. Spammers, scammer, people with agendas and so on may use the services of Twitter, making it difficult for the users to tell the difference between what is credible and what is not. Current researchers work on several ways to monitor the tweets and the users who spread falsehoods. This paper aims to study a few papers in this field and that employs the usage of several algorithms as well as human intuition to track credibility of tweets and also the different ways the features of Twitter and other online social network are exploited to spread misinformation by certain users for their own benefits and profits.
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Akshay, M.J., Ala Mohammed, N., Vyas, A., Shony, P.B., Correa, S.K. (2018). Information Abuse in Twitter and Online Social Networks: A Survey. In: Chen, Q., Wu, J., Zhang, S., Yuan, C., Batten, L., Li, G. (eds) Applications and Techniques in Information Security. ATIS 2018. Communications in Computer and Information Science, vol 950. Springer, Singapore. https://doi.org/10.1007/978-981-13-2907-4_5
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DOI: https://doi.org/10.1007/978-981-13-2907-4_5
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