‘Celebrity chav’: Fame, femininity and social class

Celebrity Recommendation with Collaborative Social Topic Regression

Recently how to recommend celebrities to the public becomes an interesting problem on the social network websites, such as Twitter and Tencent Weibo. In this paper, we proposed a unified hierarchical Bayesian model to recommend celebrities to the general users. Specifically, we proposed to leverage both social network and descriptions of celebrities to improve the prediction ability and recomme...

Fame, Facebook, and Twitter: How Attitudes About Fame Predict Frequency and Nature of Social Media Use

Social media (e.g., Facebook, Twitter) offers the opportunity to both enact and respond to public performances of self, as well as to follow and interact with actual public figures. However, to date, we know little about how users’ attitudes about fame intersect with their social media behaviors. The present survey study (Mturk; n 371) investigated links between fame appeal and participants’ Fa...

SCRank: Spammer and Celebrity Ranking in Directed Social Networks

Many online social networks allow directed edges: Alice can unilaterally add an “edge” to Bob, typically indicating some kind of interest in Bob, or in Bob’s content, without Bob necessarily reciprocating with an “add-back” edge that would have indicated Bob’s interest in Alice. Œis signi€cantly a‚ects the dynamics of interactions in the social network. Most importantly, we observe the rise of ...

Firm celebrity, Reputation and Performance: a Social Media Perspective

Social Media Writing and Social Class: A Correlational Analysis of Adolescent CMC and Social Background

In a large social media corpus (2.9 million tokens), we analyze Flemish adolescents’ non-standard writing practices and look for correlations with the teenagers’ social class. Three different aspects of adolescents’ social background are included: educational track, parental profession, and home language. Since the data reveal that these parameters are highly correlated, we combine them into on...