Screen Vocabulary
The language of the Twitter user interface is the language that the user chooses to interact with and not necessarily the language that they choose to tweet in. When comparing user interface language with whether location service are enabled or not we find 123 different languages, many of which are in single of double figures, therefore we present only the 20 most frequently occurring user interface choices in Table 5 below. There is a statistically significant association between user interface language and whether location services are enabled both when taking only the top 20 (x 2 = 83, 122df, p<0.001) and all languages (x 2 = 82, 19df, p<0.001) although the latter is undermined by 48.8% of cells having an expected count of less than 5, hence the need to be selective.
8%), directly followed by individuals who collaborate inside the Chinese (twenty-four.8%), Korean (twenty six.8%) and German (twenty seven.5%). Those individuals probably to enable new options make use of the Portuguese user interface (57.0%) followed closely by Indonesian (55.6%), Foreign language (51.2%) and Turkish (47.9%). One may imagine as to why these distinctions occur in family relations to cultural and you may governmental contexts, nevertheless the variations in liking are clear and you can obvious.
The same analysis of the top 20 countries for users who do and do not geotag shows the same top 20 countries (Table 6) and, as above, there is a significant association between the behaviour and language of interface (x 2 = 23, 19df, p<0.001). However, although Russian-language user interface users were the least likely to enable location settings they by no means have the lowest geotagging rate (2.5%). It is Korean interface users that are the least likely to actually geotag their content (0.3%) followed closely by Japanese (0.8%), Arabic (0.9%) and German (1.3%). Those who use the Turkish interface are the most likely to use geotagging (8.8%) then Indonesian (6.3%), Portuguese (5.7%) and Thai (5.2%).
In addition to conjecture more than these distinctions exists, Dining tables 5 and you will 6 show that there is a person program vocabulary impression inside the play you to definitely shapes habits in both whether or not location properties was permitted and whether a person spends geotagging. Interface words isn’t a great proxy to have location therefore these can not be called as country peak outcomes, but possibly you’ll find cultural variations in attitudes towards Fb have fun with and you can privacy which software words acts as an excellent proxy.
Member Tweet Language
The language of individual tweets can be derived using the Language Detection Library for Java . 66 languages were identified in the dataset and the language of the last tweet of 1,681,075 users could not be identified (5.6%). There is a statistically significant association between these 67 languages and whether location services are enabled (x 2 = 1050644.2, 65df, p<0.001) but, as with user interface language, we present the 20 most frequently occurring languages below in Table 7 (x 2 = 1041865.3, 19df, p<0.001).
Due to the fact when considering interface words, users just who tweeted inside the Russian chemistry had been at least browsing has actually venue functions allowed (18.2%) followed closely by Ukrainian (twenty-two.4%), Korean (twenty eight.9%) and you will Arabic (29.5%) tweeters. Users creating in Portuguese was indeed the best for location features allowed (58.5%) directly trailed by Indonesian (55.8%), brand new Austronesian language out-of Tagalog (the official label to possess Filipino-54.2%) and you may Thai (51.8%).
We present a similar analysis of the top 20 languages for in Table 8 (using ‘Dataset2′) for users who did and did not use geotagging. Note that the 19 of the top 20 most frequent languages are the same as in Table 7 with Ukrainian being replaced at 20 th position by Slovenian. The tweet language could not be identified for 1,503,269 users (6.3%) and the association is significant when only including the top 20 most frequent languages (x 2 = 26, 19df, p<0.001). As with user interface language in Table 6, the least likely groups to use geotagging are those who tweet in Korean (0.4%), followed by Japanese (0.8%), Arabic (0.9%), Russian and German (both 2.0%). Again, mirroring the results in Table 6, Turkish tweeters are the most likely to geotag (8.3%), then Indonesian (7.0%), Portuguese (5.9%) and Thai (5.6%).