TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

All the news that's fit to read: Finding and recommending news online

Tutkimustuotosvertaisarvioitu

Standard

All the news that's fit to read : Finding and recommending news online. / Leino, Juha; Räihä, Kari Jouko; Finnberg, Sanna.

Human-Computer Interaction - INTERACT 2011 - 13th IFIP TC 13 International Conference, Proceedings. Vuosikerta 6948 LNCS PART 3. toim. 2011. s. 169-186 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 6948 LNCS, Nro PART 3).

Tutkimustuotosvertaisarvioitu

Harvard

Leino, J, Räihä, KJ & Finnberg, S 2011, All the news that's fit to read: Finding and recommending news online. julkaisussa Human-Computer Interaction - INTERACT 2011 - 13th IFIP TC 13 International Conference, Proceedings. PART 3 toim, Vuosikerta. 6948 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nro PART 3, Vuosikerta. 6948 LNCS, Sivut 169-186, Lisbon, Portugali, 5/09/11. https://doi.org/10.1007/978-3-642-23765-2_12

APA

Leino, J., Räihä, K. J., & Finnberg, S. (2011). All the news that's fit to read: Finding and recommending news online. teoksessa Human-Computer Interaction - INTERACT 2011 - 13th IFIP TC 13 International Conference, Proceedings (PART 3 toim., Vuosikerta 6948 LNCS, Sivut 169-186). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 6948 LNCS, Nro PART 3). https://doi.org/10.1007/978-3-642-23765-2_12

Vancouver

Leino J, Räihä KJ, Finnberg S. All the news that's fit to read: Finding and recommending news online. julkaisussa Human-Computer Interaction - INTERACT 2011 - 13th IFIP TC 13 International Conference, Proceedings. PART 3 toim. Vuosikerta 6948 LNCS. 2011. s. 169-186. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). https://doi.org/10.1007/978-3-642-23765-2_12

Author

Leino, Juha ; Räihä, Kari Jouko ; Finnberg, Sanna. / All the news that's fit to read : Finding and recommending news online. Human-Computer Interaction - INTERACT 2011 - 13th IFIP TC 13 International Conference, Proceedings. Vuosikerta 6948 LNCS PART 3. toim. 2011. Sivut 169-186 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

Bibtex - Lataa

@inproceedings{08ff139713e74d1383b38f137795d36b,
title = "All the news that's fit to read: Finding and recommending news online",
abstract = "Our survey study of 147 Finns shows that online news is becoming the most important news source today: Online newspapers have bypassed paper newspapers and also TV and radio in importance, especially among young adults. Although most respondents routinely visited their preferred news sites directly, recommendations from their social network also played an important role in helping them find salient news. We analyzed the factors that affected which recommendations were read and why, and also discuss participants' expectations on the behavior of the receivers of the recommendations. The person recommending and the means of recommending affect what gets read. In contrast with previous studies, we found that the role of email as a recommendation tool is decreasing as the use of social media is becoming more common. However, personally targeted recommendations still have a better chance of being influential than recommendations made to the public at large.",
keywords = "News, online, recommending, sociality",
author = "Juha Leino and R{\"a}ih{\"a}, {Kari Jouko} and Sanna Finnberg",
year = "2011",
doi = "10.1007/978-3-642-23765-2_12",
language = "English",
isbn = "9783642237645",
volume = "6948 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 3",
pages = "169--186",
booktitle = "Human-Computer Interaction - INTERACT 2011 - 13th IFIP TC 13 International Conference, Proceedings",
edition = "PART 3",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - All the news that's fit to read

T2 - Finding and recommending news online

AU - Leino, Juha

AU - Räihä, Kari Jouko

AU - Finnberg, Sanna

PY - 2011

Y1 - 2011

N2 - Our survey study of 147 Finns shows that online news is becoming the most important news source today: Online newspapers have bypassed paper newspapers and also TV and radio in importance, especially among young adults. Although most respondents routinely visited their preferred news sites directly, recommendations from their social network also played an important role in helping them find salient news. We analyzed the factors that affected which recommendations were read and why, and also discuss participants' expectations on the behavior of the receivers of the recommendations. The person recommending and the means of recommending affect what gets read. In contrast with previous studies, we found that the role of email as a recommendation tool is decreasing as the use of social media is becoming more common. However, personally targeted recommendations still have a better chance of being influential than recommendations made to the public at large.

AB - Our survey study of 147 Finns shows that online news is becoming the most important news source today: Online newspapers have bypassed paper newspapers and also TV and radio in importance, especially among young adults. Although most respondents routinely visited their preferred news sites directly, recommendations from their social network also played an important role in helping them find salient news. We analyzed the factors that affected which recommendations were read and why, and also discuss participants' expectations on the behavior of the receivers of the recommendations. The person recommending and the means of recommending affect what gets read. In contrast with previous studies, we found that the role of email as a recommendation tool is decreasing as the use of social media is becoming more common. However, personally targeted recommendations still have a better chance of being influential than recommendations made to the public at large.

KW - News

KW - online

KW - recommending

KW - sociality

UR - http://www.scopus.com/inward/record.url?scp=80052808102&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-23765-2_12

DO - 10.1007/978-3-642-23765-2_12

M3 - Conference contribution

SN - 9783642237645

VL - 6948 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 169

EP - 186

BT - Human-Computer Interaction - INTERACT 2011 - 13th IFIP TC 13 International Conference, Proceedings

ER -