Shaping information and knowledge on climate change technologies: A cross‐country qualitative analysis of carbon capture and storage results on Google search

Author:

Rowland Jussara1ORCID,López‐Asensio Sergi2,Bagci Ataberk3,Delicado Ana1,Prades Ana2

Affiliation:

1. Instituto de Ciências Sociais da Universidade de Lisboa Lisbon Portugal

2. CISOT‐CIEMAT, Mòdul de Recerca A (MRA), Plaça del Coneixement Universitat Autònoma de Barcelona Bellaterra Spain

3. Institut Symlog Paris France

Abstract

AbstractCommercial search engines play a central role in shaping, defining, and promoting the information people have access to in contemporary societies. This is particularly true when it comes to emergent technologies, for which there is often limited available information in legacy media and other sources, thus having a strong bearing on public perceptions. In this article, we focus on how the Google search engine promotes information on carbon capture and storage (CCS). We explore how Google's ranking parameters and interface shape the information people access when searching for CCS through a qualitative analysis comparing the results in three countries (France, Spain, and Portugal). We focus on the content of the first search engine result pages (SERP) and consider both Google's ranking criteria and the content and format of promoted sources. The study reveals Google's influence in highlighting Wikipedia pages, Q&A‐formatted sources, and prioritizing online specialized media and private corporations. Additionally, we observe country‐specific variations in terms of actors and types of content, reflecting the level of interest and investment in the topic at the national level. These findings underscore the significant role of search engine mediations in shaping public perceptions and knowledge about emergent climate change technologies.

Funder

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. JASISTSpecial Issue Editorial: Re‐orienting search engine research in information science;Journal of the Association for Information Science and Technology;2023-10-27

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