I wrote this long essay for the Winter 2016 edition of The Journal of the International Security Affairs ( subscription only), but for convenience I republish it here. Egypt is now facing a complex asymmetrical war on various fronts. On November 10, 2014, the Sinai-based al-Qaeda-affiliated Ansar Beit al-Maqdis (ABM), the country’s most active jihadist group, formally declared…
Pierre Levy's insight:
The conflict between the Egyptian government and the Islamic State (specially in Sinai and in the western desert close to Lybia).
BRUSSELS (Reuters) - Turkish President Tayyip Erdogan threatened in November to flood Europe with migrants if European Union leaders did not offer him a better deal to help manage the Middle East refugee
A number of organizations ranging from terrorist groups such as ISIS to politicians and nation states reportedly conduct explicit campaigns to influence opinion on social media, posing a risk to democratic processes. There is thus a growing need to identify and eliminate "influence bots" - realistic, automated identities that illicitly shape discussion on sites like Twitter and Facebook - before they get too influential. Spurred by such events, DARPA held a 4-week competition in February/March 2015 in which multiple teams supported by the DARPA Social Media in Strategic Communications program competed to identify a set of previously identified "influence bots" serving as ground truth on a specific topic within Twitter. Past work regarding influence bots often has difficulty supporting claims about accuracy, since there is limited ground truth (though some exceptions do exist [3,7]). However, with the exception of , no past work has looked specifically at identifying influence bots on a specific topic. This paper describes the DARPA Challenge and describes the methods used by the three top-ranked teams.
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