Predicting user views in online news

Daniel Hardt; Owen Rambow

Predicting user views in online news

Daniel Hardt
, Owen Rambow

Linguistics

Copenhagen Business School

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We analyze user viewing behavior on an online news site. We collect data from 64,000 news articles, and use text features to predict frequency of user views. We compare predictiveness of the headline and "teaser" (viewed before clicking) and the body (viewed after clicking). Both are predictive of clicking behavior, with the full article text being most predictive.

Original language	English
Title of host publication	EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop
Editors	Octavian Popescu, Carlo Strapparava
Publisher	Association for Computational Linguistics (ACL)
Pages	7-12
Number of pages	6
ISBN (Electronic)	9781945626883
State	Published - 2017
Event	EMNLP 2017 2nd Workshop on Natural Language Processing Meets Journal., NLPmJ 2017 - Copenhagen, Denmark Duration: Sep 7 2017 → …

Publication series

Name	EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop

Conference

Conference	EMNLP 2017 2nd Workshop on Natural Language Processing Meets Journal., NLPmJ 2017
Country/Territory	Denmark
City	Copenhagen
Period	09/7/17 → …

Cite this

Hardt, D., & Rambow, O. (2017). Predicting user views in online news. In O. Popescu, & C. Strapparava (Eds.), EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop (pp. 7-12). (EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop). Association for Computational Linguistics (ACL).

Hardt, Daniel ; Rambow, Owen. / Predicting user views in online news. EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop. editor / Octavian Popescu ; Carlo Strapparava. Association for Computational Linguistics (ACL), 2017. pp. 7-12 (EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop).

@inproceedings{d007dd9e0cd049aa889947466d59c145,

title = "Predicting user views in online news",

abstract = "We analyze user viewing behavior on an online news site. We collect data from 64,000 news articles, and use text features to predict frequency of user views. We compare predictiveness of the headline and {"}teaser{"} (viewed before clicking) and the body (viewed after clicking). Both are predictive of clicking behavior, with the full article text being most predictive.",

author = "Daniel Hardt and Owen Rambow",

year = "2017",

language = "English",

series = "EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop",

publisher = "Association for Computational Linguistics (ACL)",

pages = "7--12",

editor = "Octavian Popescu and Carlo Strapparava",

booktitle = "EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop",

}

Hardt, D & Rambow, O 2017, Predicting user views in online news. in O Popescu & C Strapparava (eds), EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop. EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop, Association for Computational Linguistics (ACL), pp. 7-12, EMNLP 2017 2nd Workshop on Natural Language Processing Meets Journal., NLPmJ 2017, Copenhagen, Denmark, 09/7/17.

Predicting user views in online news. / Hardt, Daniel; Rambow, Owen.
EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop. ed. / Octavian Popescu; Carlo Strapparava. Association for Computational Linguistics (ACL), 2017. p. 7-12 (EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hardt, Daniel

AU - Rambow, Owen

PY - 2017

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AB - We analyze user viewing behavior on an online news site. We collect data from 64,000 news articles, and use text features to predict frequency of user views. We compare predictiveness of the headline and "teaser" (viewed before clicking) and the body (viewed after clicking). Both are predictive of clicking behavior, with the full article text being most predictive.

UR - https://www.scopus.com/pages/publications/85080891763

M3 - Conference contribution

AN - SCOPUS:85080891763

T3 - EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop

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EP - 12

BT - EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop

A2 - Popescu, Octavian

A2 - Strapparava, Carlo

PB - Association for Computational Linguistics (ACL)

T2 - EMNLP 2017 2nd Workshop on Natural Language Processing Meets Journal., NLPmJ 2017

Y2 - 7 September 2017

ER -

Hardt D, Rambow O. Predicting user views in online news. In Popescu O, Strapparava C, editors, EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2017. p. 7-12. (EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop).

Predicting user views in online news

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