This paper presents a characterisation of a multilingual social network in India called ShareChat. The authors collect an exhaustive dataset across 72 weeks before and during the Indian general elections of 2019, across 14 languages, investigating the cross lingual dynamics by clustering visually similar images together, and exploring how they move across language barriers.
Pushkal Agarwal, Kiran Garimella, Sagar Joglekar, Nishanth Sastry and Gareth Tyson. Characterizing User Content on a Multi-lingual Social Network. In 14th International AAAI Conference on Web and Social Media (ICWSM), Atlanta, GA (2020). [Acceptance Rate 17%] [PDF]