Content in social media is difficult to analyse because of its short and informal feature. Fortunately, some social media data like tweets have rich hashtags information, which can help identify meaningful topic information. More importantly, hashtags can express the context information of a tweet better. To enhance the significant effect of hashtags via topic variables, this paper, we propose ...

Twitter represents a massively distributed information source over a kaleidoscope of topics ranging from social and political events to entertainment and sports news. While recent work has suggested that variations on standard classifiers can be effectively trained as topical filters (Lin, Snow, and Morgan 2011; Yang et al. 2014; Magdy and Elsayed 2014), there remain many open questions about t...

The purpose of this study is to center transgender consumers in the conceptualizations between marketplace marginalization and digital spaces. We examine crowdfunding as a hashtag-bounded space created by for community–namely, #TransCrowdFund on Twitter. draw trans geographies novel analytical lens focus attention consumers' unique experiences Through qualitative hashtag mapping, we analyzed sa...

Political surveys have indicated a relationship between a sense of Scottish identity and voting decisions in the 2014 Scottish Independence Referendum. Identity is often reflected in language use, suggesting the intuitive hypothesis that individuals who support Scottish independence are more likely to use distinctively Scottish words than those who oppose it. In the first large-scale study of s...

Hashtags are words or terms which are used to categorize publications in social media, indexing the content and making it available for retrieval. The hashtags creation is free process, i.e, there are no rules or restrictions to create them. Otherwise, there is a convergence of the terms used to explain and semantically enrich the content. This work aims to study the use of hashtags for the cro...

Online social networks support users in a wide range of activities, such as sharing information and making recommendations. In Twitter, the hashtag #ff, or #followfriday, arose as a popular convention for users to create contact recommendations for others. Hitherto, there has not been any quantitative study of the effect of such human-generated recommendations. This paper is the first study of ...

Retrieving relevant tweets corresponding to cultural events can be used in various applications like event reporting, event recommendation, etc. This type of retrieval is challenging due to short length of the tweet, noise, out of vocabulary words, abbreviations in the tweet. In this paper, we focus on the problem of retrieving relevant tweets related to given cultural event of a festival. We c...