Abstract
We analyze user viewing behavior on anonline news site. We collect data from64,000 news articles, and use text featuresto predict frequency of user views.We compare predictiveness of the headlineand “teaser” (viewed before clicking) andthe body (viewed after clicking). Both arepredictive of clicking behavior, with thefull article text being most predictive.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism |
| Editors | Octavian Popescu, Carlo Strapparava |
| Number of pages | 6 |
| Place of Publication | Stroudsburg, PA |
| Publisher | Association for Computational Linguistics |
| Publication date | 2017 |
| Pages | 7-12 |
| ISBN (Electronic) | 9781945626883 |
| Publication status | Published - 2017 |
| Event | Natural Language Processing Meets Journalism: EMNLP 2017 Workshop - København, Denmark Duration: 7 Sept 2017 → 7 Sept 2017 |
Workshop
| Workshop | Natural Language Processing Meets Journalism |
|---|---|
| Country/Territory | Denmark |
| City | København |
| Period | 07/09/2017 → 07/09/2017 |