Linking Tweets to News: Is All News of Interest?

Tariq Ahmad; Allan Ramsay

doi:10.1007/978-3-319-44748-3_15

Linking Tweets to News: Is All News of Interest?

Tariq Ahmad, Allan Ramsay

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

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Abstract

In a world where news is being generated almost continu-
ously by many different news providers on many different platforms, it
would be useful in certain industries to be able to determine how much
of that news is actually being read, which news items are not interest
generating or, indeed, if there are topics being discussed on Twitter that
have not even been reported in the news. Twitter generates vast num-
bers of Tweets daily and has a massive active user base, so it is ideal as
a way of gauging what news people are, or are not, interested in. This
paper proposes a technique to efficiently relate Tweets to news articles
and then to determine which news articles are of interest, which are not,
and what is being discussed on Twitter that is not even in the news.

Original language	English
Title of host publication	Artificial intelligence : methodology, systems, and applications : 17th International Conference, AIMSA 2016, Varna, Bulgaria, September 7-10, 2016, Proceedings
Editors	Christro Dichev, Gennady Agre
Place of Publication	9783319447476
Publisher	Springer Nature
Pages	151-161
DOIs	https://doi.org/10.1007/978-3-319-44748-3_15
Publication status	Published - 18 Aug 2016

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9883
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Access to Document

10.1007/978-3-319-44748-3_15

AIMSA_2016_paper_10Accepted author manuscript, 251 KB

http://link.springer.com/chapter/10.1007/978-3-319-44748-3_15

Cite this

Ahmad, T., & Ramsay, A. (2016). Linking Tweets to News: Is All News of Interest? In C. Dichev, & G. Agre (Eds.), Artificial intelligence : methodology, systems, and applications : 17th International Conference, AIMSA 2016, Varna, Bulgaria, September 7-10, 2016, Proceedings (pp. 151-161). (Lecture Notes in Computer Science; Vol. 9883). Springer Nature. https://doi.org/10.1007/978-3-319-44748-3_15

Ahmad, Tariq ; Ramsay, Allan. / Linking Tweets to News: Is All News of Interest?. Artificial intelligence : methodology, systems, and applications : 17th International Conference, AIMSA 2016, Varna, Bulgaria, September 7-10, 2016, Proceedings . editor / Christro Dichev ; Gennady Agre. 9783319447476 : Springer Nature, 2016. pp. 151-161 (Lecture Notes in Computer Science).

@inproceedings{6b2ecea716c341baa0be1d971241a366,

title = "Linking Tweets to News: Is All News of Interest?",

abstract = "In a world where news is being generated almost continu-ously by many different news providers on many different platforms, itwould be useful in certain industries to be able to determine how muchof that news is actually being read, which news items are not interestgenerating or, indeed, if there are topics being discussed on Twitter thathave not even been reported in the news. Twitter generates vast num-bers of Tweets daily and has a massive active user base, so it is ideal asa way of gauging what news people are, or are not, interested in. Thispaper proposes a technique to efficiently relate Tweets to news articlesand then to determine which news articles are of interest, which are not,and what is being discussed on Twitter that is not even in the news.",

author = "Tariq Ahmad and Allan Ramsay",

year = "2016",

month = aug,

day = "18",

doi = "10.1007/978-3-319-44748-3_15",

language = "English",

series = "Lecture Notes in Computer Science",

publisher = "Springer Nature",

pages = "151--161",

editor = "Christro Dichev and Gennady Agre",

booktitle = "Artificial intelligence : methodology, systems, and applications : 17th International Conference, AIMSA 2016, Varna, Bulgaria, September 7-10, 2016, Proceedings",

address = "United States",

}

Ahmad, T & Ramsay, A 2016, Linking Tweets to News: Is All News of Interest? in C Dichev & G Agre (eds), Artificial intelligence : methodology, systems, and applications : 17th International Conference, AIMSA 2016, Varna, Bulgaria, September 7-10, 2016, Proceedings . Lecture Notes in Computer Science, vol. 9883, Springer Nature, 9783319447476, pp. 151-161. https://doi.org/10.1007/978-3-319-44748-3_15

Linking Tweets to News: Is All News of Interest? / Ahmad, Tariq; Ramsay, Allan.
Artificial intelligence : methodology, systems, and applications : 17th International Conference, AIMSA 2016, Varna, Bulgaria, September 7-10, 2016, Proceedings . ed. / Christro Dichev; Gennady Agre. 9783319447476: Springer Nature, 2016. p. 151-161 (Lecture Notes in Computer Science; Vol. 9883).

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