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Cyclone Nargis was one of the most powerful disasters to hit Myanmar and Southeast Asia. Myanmar was criticized internationally for its allegedly slow effort in allowing international aid to enter into the country. This paper examines the criticism levelled against the ASEAN for its slow response in providing aid to the beleaguered in Myanmar and relates that criticism to ASEAN's disaster management policy. It focuses on ASEAN's engagement with Myanmar in order to allow humanitarian aid to flow into the country. The paper suggests that in time ASEAN will have to move from its doctrine of non-intervention in the affairs of a sovereign state to one of non-indifference if it wishes to remain relevant. Ultimately, ASEAN will have to re-evaluate its own goals in order to be a more successful apparatus for interstate and regional affairs, especially with respect to humanitarian crises brought about by natural disasters.

This article presents a preliminary approach towards characterizing political fake news on Twitter through the analysis of their meta-data. In particular, we focus on more than 1.5M tweets collected on the day of the election of Donald Trump as 45th president of the United States of America. We use the meta-data embedded within those tweets in order to look for differences between tweets containing fake news and tweets not containing them. Specifically, we perform our analysis only on tweets that went viral, by studying proxies for users' exposure to the tweets, by characterizing accounts spreading fake news, and by looking at their polarization. We found significant differences on the distribution of followers, the number of URLs on tweets, and the verification of the users.

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