Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption

Stefanie Niklander; RICARDO JAVIER SOTO DE GIORGIS; BRODERICK   CRAWFORD LABRIN; CLAUDIO ANTONIO LEON DE LA BARRA SOTO; Eduardo Olguíín

doi:10.1007/978-3-319-40542-1_10

Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption

Stefanie Niklander, RICARDO JAVIER SOTO DE GIORGIS, BRODERICK CRAWFORD LABRIN, CLAUDIO ANTONIO LEON DE LA BARRA SOTO, Eduardo Olguíín

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

Abstract

Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such audience reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

Original language	English
Title of host publication	HCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings
Editors	Constantine Stephanidis
Publisher	Springer Verlag
Pages	63-66
Number of pages	4
ISBN (Print)	9783319405414
DOIs	https://doi.org/10.1007/978-3-319-40542-1_10
State	Published - 1 Jan 2016
Event	18th International Conference on Posters’ Extended Abstracts, HCI International 2016 - Toronto, Canada Duration: 17 Jul 2016 → 22 Jul 2016

Publication series

Name	Communications in Computer and Information Science
Volume	618
ISSN (Print)	1865-0929

Conference

Conference	18th International Conference on Posters’ Extended Abstracts, HCI International 2016
Country	Canada
City	Toronto
Period	17/07/16 → 22/07/16

Keywords

Content analysis
Mass media
Social networks

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

Access to Document

10.1007/978-3-319-40542-1_10

Fingerprint Dive into the research topics of 'Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption'. Together they form a unique fingerprint.

Cite this

Niklander, S., SOTO DE GIORGIS, RICARDO. JAVIER., CRAWFORD LABRIN, BRODERICK., LEON DE LA BARRA SOTO, CLAUDIO. ANTONIO., & Olguíín, E. (2016). Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption. In C. Stephanidis (Ed.), HCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings (pp. 63-66). (Communications in Computer and Information Science; Vol. 618). Springer Verlag. https://doi.org/10.1007/978-3-319-40542-1_10

Niklander, Stefanie ; SOTO DE GIORGIS, RICARDO JAVIER ; CRAWFORD LABRIN, BRODERICK ; LEON DE LA BARRA SOTO, CLAUDIO ANTONIO ; Olguíín, Eduardo. / Facilitating analysis of audience reaction on social networks using content analysis : A case study based on political corruption. HCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings. editor / Constantine Stephanidis. Springer Verlag, 2016. pp. 63-66 (Communications in Computer and Information Science).

@inproceedings{4d45ec5717794b34ab81c59a5dc7c93b,

title = "Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption",

abstract = "Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such audience reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.",

keywords = "Content analysis, Mass media, Social networks",

author = "Stefanie Niklander and {SOTO DE GIORGIS}, {RICARDO JAVIER} and {CRAWFORD LABRIN}, BRODERICK and {LEON DE LA BARRA SOTO}, {CLAUDIO ANTONIO} and Eduardo Olgu{\'i}{\'i}n",

year = "2016",

month = jan,

day = "1",

doi = "10.1007/978-3-319-40542-1_10",

language = "English",

isbn = "9783319405414",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "63--66",

editor = "Constantine Stephanidis",

booktitle = "HCI International 2016 – Posters{\textquoteright} Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings",

note = "null ; Conference date: 17-07-2016 Through 22-07-2016",

}

Niklander, S, SOTO DE GIORGIS, RICARDOJAVIER , CRAWFORD LABRIN, BRODERICK , LEON DE LA BARRA SOTO, CLAUDIOANTONIO & Olguíín, E 2016, Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption. in C Stephanidis (ed.), HCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings. Communications in Computer and Information Science, vol. 618, Springer Verlag, pp. 63-66, 18th International Conference on Posters’ Extended Abstracts, HCI International 2016, Toronto, Canada, 17/07/16. https://doi.org/10.1007/978-3-319-40542-1_10

Facilitating analysis of audience reaction on social networks using content analysis : A case study based on political corruption. / Niklander, Stefanie; SOTO DE GIORGIS, RICARDO JAVIER ; CRAWFORD LABRIN, BRODERICK ; LEON DE LA BARRA SOTO, CLAUDIO ANTONIO; Olguíín, Eduardo.

HCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings. ed. / Constantine Stephanidis. Springer Verlag, 2016. p. 63-66 (Communications in Computer and Information Science; Vol. 618).

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

TY - GEN

T1 - Facilitating analysis of audience reaction on social networks using content analysis

AU - Niklander, Stefanie

AU - SOTO DE GIORGIS, RICARDO JAVIER

AU - CRAWFORD LABRIN, BRODERICK

AU - LEON DE LA BARRA SOTO, CLAUDIO ANTONIO

AU - Olguíín, Eduardo

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such audience reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

AB - Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such audience reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

KW - Content analysis

KW - Mass media

KW - Social networks

UR - http://www.scopus.com/inward/record.url?scp=84978250958&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-40542-1_10

DO - 10.1007/978-3-319-40542-1_10

M3 - Conference contribution

AN - SCOPUS:84978250958

SN - 9783319405414

T3 - Communications in Computer and Information Science

SP - 63

EP - 66

BT - HCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings

A2 - Stephanidis, Constantine

PB - Springer Verlag

Y2 - 17 July 2016 through 22 July 2016

ER -

Niklander S, SOTO DE GIORGIS RICARDOJAVIER , CRAWFORD LABRIN BRODERICK , LEON DE LA BARRA SOTO CLAUDIOANTONIO, Olguíín E. Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption. In Stephanidis C, editor, HCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings. Springer Verlag. 2016. p. 63-66. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-40542-1_10

Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Cite this