"This report presents an evaluation of the utility of social media for conducting research, monitoring and evaluation in the MENA region, using a case study approach. The Twitter based reaction to the reported cancellation/reduction of food provision by World Food Programme (WFP) for Syrian Refuges was taken as the case study [...] The application of frequency analysis to the case study showed that information regarding ebb and flow of the popularity or awareness of the cuts to the WFP could be obtained from Twitter. Spikes in popularity or awareness on Twitter related to key reports in the media relating to the cuts. These spikes were subjected to further analysis using topic classification. Simple topic classification was performed on the spikes identified in the frequency analysis. Wordclouds are simple but effective methods for viewing the high-level discussion on social media. Words are sized in the wordcloud based on their frequency – the bigger the word, the more frequently it is used. The accounts @60Minutes and @bbcworld were dominant in the visualizations, confirming the broadcast reaction on Twitter. To further refine the analysis these Twitter accounts were visualised in retweet networks. Social Network graphs were used to visualise interactions between accounts posting about cuts to the WFP on Twitter. The size of nodes (accounts) in the graphs corresponded to amount of interactions with other nodes (accounts), indicating their relative importance in propagating information about the cuts to the WFP on Twitter. The graphs also identified nodes (accounts) that acted as bridges for information to travel from one Twitter community to another." (Executive summary)