Kim Schouten
Biographic Data
| ID | 4392175 |
|---|---|
| NAME | Kim Schouten |
| GIVEN NAMES | Kim |
| FAMILY NAME | Schouten |
| SIGNATURE | SCHOUTEN K |
| AFFILIATIONS | Erasmus University, The Netherlands |
| ORCID | 0000-0003-1604-0333 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 16 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 2 |
Dynamics and tipping point of issue attention in newspapers
This study aims to provide a more sensitive understanding of the dynamics and tipping points of issue attention in news media by combining the strengths of quantitative and qualitative research. The topic of this 25-year longitudinal study is the volume and the content of newspaper articles about the emerging risk of gas drilling in The Netherlands. We applied supervised machine learning (SML) because this allowed us to study changes in the quant…
How do media, political and regulatory agendas influence one another in high risk policy issues
This article shows how an emerging risk is covered by the media and how this interacts with political attention and policy implementation. Gas drilling has resulted in earthquakes in the Netherlands over the past 25 years. We show that an increase in the frequency and magnitude has not stimulated greater media attention. Media and political attention increased only after the media had interpreted the risk as a safety issue. Once this had happened…
Framing a Conflict! How Media Report on Earthquake Risks Caused by Gas Drilling
Using a new analytical tool, supervised machine learning (SML), a large number of newspaper articles is analysed to answer the question how newspapers frame the news of public risks, in this case of ear
Framing a Conflict! How Media Report on Earthquake Risks Caused by Gas Drilling
Using a new analytical tool, supervised machine learning (SML), a large number of newspaper articles is analysed to answer the question how newspapers frame the news of public risks, in this case of ear
How do media, political and regulatory agendas influence one another in high risk policy issues
This article shows how an emerging risk is covered by the media and how this interacts with political attention and policy implementation. Gas drilling has resulted in earthquakes in the Netherlands over the past 25 years. We show that an increase in the frequency and magnitude has not stimulated greater media attention. Media and political attention increased only after the media had interpreted the risk as a safety issue. Once this had happened…
Framing a Conflict! How Media Report on Earthquake Risks Caused by Gas Drilling
Using a new analytical tool, supervised machine learning (SML), a large number of newspaper articles is analysed to answer the question how newspapers frame the news of public risks, in this case of ear
How do media, political and regulatory agendas influence one another in high risk policy issues
This article shows how an emerging risk is covered by the media and how this interacts with political attention and policy implementation. Gas drilling has resulted in earthquakes in the Netherlands over the past 25 years. We show that an increase in the frequency and magnitude has not stimulated greater media attention. Media and political attention increased only after the media had interpreted the risk as a safety issue. Once this had happened…
Dynamics and tipping point of issue attention in newspapers
This study aims to provide a more sensitive understanding of the dynamics and tipping points of issue attention in news media by combining the strengths of quantitative and qualitative research. The topic of this 25-year longitudinal study is the volume and the content of newspaper articles about the emerging risk of gas drilling in The Netherlands. We applied supervised machine learning (SML) because this allowed us to study changes in the quant…
Computer Science (3 works) · Media studies (3 works) · Newspaper (3 works) · Risk Perception and Management (3 works) · Sociology (3 works) · Computational and Text Analysis Methods (2 works) · Engineering (2 works) · Law (2 works) · Law (2 works) · Political science (2 works)