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Spam On Social Network Twitter : Detecting Misinformation During Crisis

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Spam on Social Network Twitter: Detecting Misinformation During Crisis Madhura Joshi | Divyasree Sadhukhan Department of Electrical Engineering and Computer Science University of Central Florida Abstract — In this highly emerging technological world, online social media has an important role to play during mass events, especially crisis events. This has both favorable and adverse effects and causes a massive mishap. It can spread fake rumors in the form of spam messages and thus affect a huge crowd of users. The aim of this paper, is to highlight the role of Twitter as analyzed in 2 different works. The first work 'Faking sandy: characterizing and identifying fake images on twitter during hurricane sandy ' analyzes data during …show more content…

INTRODUCTION Many people use social media platforms such as Twitter and Facebook to share information on numerous topics, ranging from politics, sports, and personal stories. This information has been collected and analyzed by researchers for market prediction, mining the opinions, etc. One of the most important properties of social platforms is that they allow people to communicate in real-time. During a crisis or a natural disaster, people on social media tend to easily believe contents of postings related to the events, and Re-tweet the postings with hoping them to be reached to many other users. There are both sides positive and negative to sharing information related to emergency situations on social media. People are well-informed about the situation in real-time, and most of this information is true, or believed to be true. At the same time, there are malicious users who understand the tendency and post misinformation such as spam and fake messages with expecting wider propagation. One good example of this is malicious users tweeted fake images attached with relevant messages. These are in-turn, shared or Re-tweeted by others users unknowingly (with the intent to help others). We will be analyzing 2 papers here, both of them using twitter content. The first paper aims to highlight the role of Twitter to spread fake images during Hurricane Sandy (2012). In-depth characterization is performed of tweets sharing fake images. Along with that, different

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