This dataset is part of a larger project on using headlines to predict the social media popularity of news articles. The dataset consists of two headlines corpora -- The Guardian and New York Times -- collected in 2014 using news outlet APIs. Each corpus includes a unique headline identifier (to enable recreating the corpus by querying the relevant API), the extracted features (news values, style, metadata), and the corresponding popularity on Twitter and Facebook
Predicting the popularity of social media content in real time requires approaches that efficiently ...
The development of world wide web with easy access to massive information sources anywhere and anyti...
The problem of popularity prediction has been studied extensively in various previous research. The ...
This dataset is part of a larger project on using headlines to predict the social media popularity o...
The way we formulate headlines matters -- this is the central tenet of this thesis. Headlines pl...
Social media like Facebook or Twitter have become an entry point to news for many readers. In that s...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
A large proportion of audiences read news online, often accessing news articles through social media...
News articles are extremely time sensitive by nature. There is also intense competition among news i...
A large proportion of audiences read news online, often accessing news articles through social media...
Social news has fundamentally changed the mechanisms of public perception, education, and even dis-i...
Social networks have changed the way that we obtain information. Content creators and, specifically ...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
The problem of popularity prediction has been studied extensively in various previous research. The ...
International audienceIn recent times, news medias avail oneself of online social media platforms fo...
Predicting the popularity of social media content in real time requires approaches that efficiently ...
The development of world wide web with easy access to massive information sources anywhere and anyti...
The problem of popularity prediction has been studied extensively in various previous research. The ...
This dataset is part of a larger project on using headlines to predict the social media popularity o...
The way we formulate headlines matters -- this is the central tenet of this thesis. Headlines pl...
Social media like Facebook or Twitter have become an entry point to news for many readers. In that s...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
A large proportion of audiences read news online, often accessing news articles through social media...
News articles are extremely time sensitive by nature. There is also intense competition among news i...
A large proportion of audiences read news online, often accessing news articles through social media...
Social news has fundamentally changed the mechanisms of public perception, education, and even dis-i...
Social networks have changed the way that we obtain information. Content creators and, specifically ...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
The problem of popularity prediction has been studied extensively in various previous research. The ...
International audienceIn recent times, news medias avail oneself of online social media platforms fo...
Predicting the popularity of social media content in real time requires approaches that efficiently ...
The development of world wide web with easy access to massive information sources anywhere and anyti...
The problem of popularity prediction has been studied extensively in various previous research. The ...