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Full-Text Articles in Social and Behavioral Sciences
Using Textual Features To Predict Popular Content On Digg, Paul H. Miller
Using Textual Features To Predict Popular Content On Digg, Paul H. Miller
Paul H Miller
Over the past few years, collaborative rating sites, such as Netflix, Digg and Stumble, have become increasingly prevalent sites for users to find trending content. I used various data mining techniques to study Digg, a social news site, to examine the influence of content on popularity. What influence does content have on popularity, and what influence does content have on users’ decisions? Overwhelmingly, prior studies have consistently shown that predicting popularity based on content is difficult and maybe even inherently impossible. The same submission can have multiple outcomes and content neither determines popularity, nor individual user decisions. My results show …
Using Textual Features To Predict Popular Content On Digg, Paul H. Miller
Using Textual Features To Predict Popular Content On Digg, Paul H. Miller
Department of English: Dissertations, Theses, and Student Research
Over the past few years, collaborative rating sites, such as Netflix, Digg and Stumble, have become increasingly prevalent sites for users to find trending content. I used various data mining techniques to study Digg, a social news site, to examine the influence of content on popularity. What influence does content have on popularity, and what influence does content have on users’ decisions? Overwhelmingly, prior studies have consistently shown that predicting popularity based on content is difficult and maybe even inherently impossible. The same submission can have multiple outcomes and content neither determines popularity, nor individual user decisions. My results show …
Review Of Weizmann, Elda. (2008), Positioning In Media Dialogue: Negotiating Roles In The News Interview, Claire Emily Scott
Review Of Weizmann, Elda. (2008), Positioning In Media Dialogue: Negotiating Roles In The News Interview, Claire Emily Scott
Faculty of Arts - Papers (Archive)
This book presents an investigation of interactional discourse features of news interviews in Israeli (Hebrew) television media, focussing on the way interviewers and interviewees are discursively positioned with respect to each other. The study is based on two sets of data, comprising a 24-hour corpus of news interviews from the “New Evening” (Erev Xadash) program on Israeli national television, and a corpus of meta-comments from leading Israeli media figures.