[Context and motivation] Twitter is one of the most widely used micro-blogging platforms. Globally distributed developers and software companies use Twitter to communicate about software. End-users from diverse geographical regions also use Twitter to give feedback about the software they use. Previous research has shown that this feedback is valuable for requirements engineering, containing infor- mation such as feature requests and usage scenarios. However, the ef- fect of the country of origin on software-related tweets has not been studied so far. [Question] In this paper, we investigate to what extent people from various countries provide distinct feedback regarding cer- tain characteristics on Twitter. [Principal ideas/results] We collected 70,759 tweets (Original: 17,940, Replies: 52,819) from popular Twitter Support Accounts of ten software applications for two months. In the subsequent analysis, we selected the tweets originating from the eight most popular countries (13,200) and analyzed a sample of 1,813 tweets with the help of automatic and manual content analysis. Results show that out of six characteristics; content, sentiment, character length, and number of replies differ significantly at the country level. These char- acteristics are used in algorithms automatically processing user feed- back. Such algorithms are commonly used for requirements engineering tasks. [Contributions] Our findings show the importance of considering software-related user feedback on Twitter from a diverse audience during the design, testing, and validation of feedback processing algorithms to minimize bias concerning different countries of origin.