Capturing Emerging Realities in Citizen Engagement in Science in Social Media: A Social Media Analytics Protocol for the Allinteract Study

被引:7
|
作者
Pulido Rodriguez, Cristina M. [1 ]
Ovseiko, Pavel [3 ]
Palomar, Marta Font [2 ]
Kumpulainen, Kristiina [4 ]
Ramis, Mimar [2 ]
机构
[1] Autonomous Univ Barcelona, Dept Journalism & Commun Studies, C Vinya, Cerdanyola Del Valles 08193, Spain
[2] Univ Oxford, Radcliffe Dept Med, Oxford, England
[3] Univ Barcelona, Dept Sociol, Barcelona, Spain
[4] Univ Helsinki, Dept Educ Learning Culture & Intervent, Helsinki, Finland
基金
欧盟地平线“2020”;
关键词
virtual environments; mixed methods; observational research; dimensional analysis; methods in qualitative inquiry; VOICES; IMPACT;
D O I
10.1177/16094069211050163
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
In the digital era, social media has become a space for the socialization and interaction of citizens, who are using social networks to express themselves and to discuss scientific advances with citizens from all over the world. Researchers are aware of this reality and are increasingly using social media as a source of data to explore citizens' voices. In this context, the methods followed by researchers are mainly based on the content analysis using manual, automated or combined tools. The aim of this article is to share a protocol for Social Media Analytics that includes a Communicative Content Analysis (CCA). This protocol has been designed for the Horizon 2020 project Allinteract, and it includes the social impact in social media methodology. The novel contribution of this protocol is the detailed elaboration of methods and procedures to capture emerging realities in citizen engagement in science in social media using a Communicative Content Analysis (CCA) based on the contributions of Communicative Methodology (CM).
引用
收藏
页数:9
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