# Do All Birds Tweet the Same? Characterizing Twitter Around the World

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3 Figure 3: Most commonly used languages in each top-10 country. Figure 1: Distribution of users (%) in the dataset for each Top-10 country and their activity (%). Figure 4: Three most popular languages for tweets in each top-10 country. Figure 2: tweet/user ratio for each Top-10 country. and each word has a score in a 1 to 9 range, which indicates its level of happiness. We computed the weighted average happiness level", based on the algorithms of Dodds et al. [5], as follows: Nl i=1 happiness(c l ) = wifi,c N l l Nl = w ip i,cl (1) i=1 fi,c l i=1 where happiness(c l ) represents the weighted average happiness level for a country C, based on all of its tweets in language l (English or Spanish), during Therefore C l represents all of the tweets registered for the country C which are expressed in the language l. Additionally, N l represents the number of words in the ANEW list for the language l, while w i is the score for the i-th word in the ANEW list for l, and f i,cl corresponds to the frequency of this word in the collection C l. Finally, we denote p i,cl as the normalized frequency of each sentiment scored word in C l. The results of this sentiment analysis for (a) English and (b) Spanish, are shown in Figure 5. These results agree with those reported by Dodds et al. [5]: the values are between 5 and 7 for both languages and there is also a general increase in happiness towards the end of the year. It is interesting to note that Brazil has the highest values almost every month, even though we are not particularly considering Portuguese. Nevertheless, after August happiness levels in Brazil decreases until November. Also, in December all countries show an increase in their happiness level. Some differences can be appreciated in the results for Spanish tweets, Figure 5.b. The number of tweets in Spanish is disproportional as 7 countries account for less than 1% of the tweets, while Mexico, USA and Brazil together account for almost 98% of the total. Nevertheless, USA and Mexico have happiness patterns that are similar to most countries. Only Brazil and Indonesia results which differ from the rest: there is a strong increase in happiness from June to July for Brazil and Indonesia. Interesting drops in levels happen in Indonesia during the months of May and August. Brazil has clearly the highest values for all months, but it also presents higher ups and downs. 5. CONTENT AND NETWORK STRUCTURE Tweet Contents. In this part of our study, we analyze briefly certain tweet features for each top-10 country. These features have also been used in prior work, such as [2]: #: indicates if a tweet contains a # symbol, which denotes a tweet with a particular topic. RT: indicates if a tweet has a RT, which indicates a re-tweet or re-post of a message of another indicates whether a tweet contains symbol, used preceding a user name and which indicates a user mention. URL: Denotes whether a tweet contains a URL or not. We computed the average per user for each country as follows: AVG(symbol) = N T (symbol) ui i=1 T Ui N (2) i=1 Ui Where AVG(symbol) is the average number of tweets per user of a particular country containing a feature denoted by symbol (e.g. #, RT, Also, N is the total number of users for a particular country and T (symbol) Ui is the total number of tweets containing that feature for user U i

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