Can visualization techniques help journalists to deepen analysis of Twitter data? Exploring the "Germany 7 x 1 Brazil" case

被引：2

作者：

Santos, Caroline Q. ^{[1
]}

Tietzmann, Roberto ^{[2
]}

Trasel, Marcelo ^{[2
]}

Moraes, Silvia M. W. ^{[1
]}

Manssour, Isabel H. ^{[1
]}

Silveira, Milene S. ^{[1
]}

机构：

[1] Pontificia Univ Catolica Rio Grande do Sul, Fac Informat, Porto Alegre, RS, Brazil

[2] Pontificia Univ Catolica Rio Grande do Sul, Fac Comunicacao Social, Porto Alegre, RS, Brazil

来源：

PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016) | 2016年

关键词：

D O I：

10.1109/HICSS.2016.245

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The use of social networks has increased steadily from the mid-2000s on, generating a large volume of data reflecting current affairs relevant to be analyzed using data visualization techniques that can emphasize important information otherwise concealed. Our main goal is to understand how visualization techniques can help media studies scholars and journalists create better understanding about user behavior and sentiments in social networks. This motivated an interdisciplinary research project where tweets sent during the World Cup in 2014 were collected and processed, generating visualizations about the users' sentiment in the Brazil vs. Germany game and hashtags most used by online Brazilians. In order to analyze the visualizations' adequacy in improving understanding about the episode, they were presented to journalists and students of Journalism in two focus groups, and their results analysis is presented in this paper.

引用

页码：1939 / 1948

页数：10