Twitter Users #CodeSwitch Hashtags! #MoltoImportante #wow
نویسندگان
چکیده
When code switching, individuals incorporate elements of multiple languages into the same utterance. While code switching has been studied extensively in formal and spoken contexts, its behavior and prevalence remains unexamined in many newer forms of electronic communication. The present study examines code switching in Twitter, focusing on instances where an author writes a post in one language and then includes a hashtag in a second language. In the first experiment, we perform a large scale analysis on the languages used in millions of posts to show that authors readily incorporate hashtags from other languages, and in a manual analysis of a subset the hashtags, reveal prolific code switching, with code switching occurring for some hashtags in over twenty languages. In the second experiment, French and English posts from three bilingual cities are analyzed for their code switching frequency and its content.
منابع مشابه
On Recommending Hashtags in Twitter Networks
Twitter network is currently overwhelmed by massive amount of tweets generated by its users. To effectively organize and search tweets, users have to depend on appropriate hashtags inserted into tweets. We begin our research on hashtags by first analyzing a Twitter dataset generated by more than 150,000 Singapore users over a three-month period. Among several interesting findings about hashtag ...
متن کاملNews-Topic Oriented Hashtag Recommendation in Twitter Based on Characteristic Co-occurrence Word Detection
Hashtags, which started to be widely used since 2007, are always utilized to mark keywords in tweets to categorize messages and form conversation for topics in Twitter. However, it is hard for users to use hashtags for sharing their opinions/interests/comments for their interesting topics. In this paper, we present a new approach for recommending news-topic oriented hashtags to help Twitter use...
متن کاملRecommending #-Tags in Twitter
Twitter, currently the most popular microblogging tool available, is used to publish more than 140,000,000 messages a day. Many users use hashtags to categorize their tweets. However, hashtags are not restricted in any way in terms of usage or syntax which leads to a very heterogeneous set of hashtags occurring in the Twitter universe and therefore, decreases the search capabilities. In this pa...
متن کاملToward a generalizable understanding of Twitter and social media use across MOOCs: who participates on MOOC hashtags and in what ways?
Researchers have proposed that social media provide complementary learning environments for Massive Open Online Courses (MOOCs) that might engender participation, engagement, and peer-support. Although suggestive, nearly all of the research in this area consists of case studies, making it challenging to determine whether or to what extent findings can be generalized to MOOCs beyond those studie...
متن کاملTweetSense: Recommending Hashtags for Orphaned Tweets by Exploiting Social Signals in Twitter by
Twitter is a micro-blogging platform where the users can be social, informational or both. In certain cases, users generate tweets that have no "hashtags" or "@mentions"; we call it an orphaned tweet. The user will be more interested to find more "context" of an orphaned tweet presumably to engage with his/her friend on that topic. Finding context for an Orphaned tweet manually is challenging b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014