Valerie Hase
Datos Biográficos
| ID | 4900600 |
|---|---|
| NOMBRE | Valerie Hase |
| NOMBRES | Valerie |
| APELLIDO | Hase |
| FIRMA | HASE V |
| AFILIACIONES | University of Zurich |
| ORCID | 0000-0001-6656-4894 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 18 |
| TOTAL DE CITAS | 78 |
| TOTAL COMO AUTOR | 18 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2017 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 4 |
Epistemologies of Digital News Production
Understanding journalists’ methods to acquire and validate their knowledge has been a key focus in journalism studies. From a sociological viewpoint, journalists are crucial knowledge creators, as their main tasks involve gathering, assembling, and disseminating news. However, technological disruptions in the twenty first century have posed significant challenges to journalistic ways of knowing. This Special Issue aims to rethink digital news pro…
Climate injustice through unequal news
Critical, but constructive
Fulfilling data access obligations
Research into digital platforms has become increasingly difficult. One way to overcome these difficulties is to build on data access rights in EU data protection law, which requires platforms to offer users a copy of their data. In data donation studies, researchers ask study participants to exercise this right and donate their data to science. However, there is increasing evidence that platforms do not comply with designated laws. We first discu…
Biased Social Media Debates About Terrorism? A Content Analysis of Journalistic Coverage of and Audience Reactions to Terrorist Attacks on YouTube
Social media are an important source of news during crises such as terrorist attacks. However, how news media and their audiences make sense of terrorism on social media is subject to bias, for example, given their differential treatment of terrorism by right-wing versus Islamist extremist perpetrators. In this study, we analyze how incident- and perpetrator-related characteristics of terrorist attacks are associated with bias in public debates a…
Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can
Automated classifiers (ACs), often built via supervised machine learning (SML), can categorize large, statistically powerful samples of data ranging from text to images and video. They have become widely popular measurement devices in communication science and related fields. Despite this popularity, even highly accurate classifiers make errors that cause misclassification bias and misleading results when input to downstream statistical analyses–…
The “computational turn”
Possibilities of applying automated content analysis in journalism studies include, for example, machine learning to identify topics in journalistic coverage or measuring news diffusion via automated approaches. But how have computational methods been applied thus far? And what are consequences of the “computational turn” in communication science, especially concerning interdisciplinarity? Based on a systematic literature review, this article sum…
Adapting to Affordances and Audiences? A Cross-Platform, Multi-Modal Analysis of the Platformization of News on Facebook, Instagram, TikTok, and Twitter
To capture audiences’ attention on social media, news outlets may disseminate journalistic content in line with platform instead of mass media logics, indicating a platformization of news. Taking a cross-platform, multi-modal approach, we analyze how German outlets select and adapt existing stories for Facebook, Instagram, TikTok, and Twitter. We combine a computational and a manual content analysis of articles and social media posts (N = 4,412),…
Der „Computational Turn“
Themen journalistischer Berichterstattung durch maschinelles Lernen identifizieren oder Nachrichtendiffusion automatisiert messen: Die Anwendungsmöglichkeiten der automatisierten Inhaltsanalyse in der Journalismusforschung scheinen vielfältig. Aber wie wird die computerbasierte Methode bisher eingesetzt - und welche Konsequenzen hat der „Computational Turn“ der Kommunikationswissenschaft, besonders im Hinblick auf Interdisziplinarität? Dieser Bei…
Engaging the public or asking your friends? Analysing science-related crowdfunding using behavioural and survey data
Science-related crowdfunding enables public engagement with science. However, we know little about citizens engaging with science this way: Who are the people engaging with and donating to science through crowdfunding – and how do they decide how much to give? This study analyses behavioural and survey data from the Swiss crowdfunding platform wemakeit ( N = 576). Results illustrate that a small, non-representative segment of the public engages w…
Computational methods for the analysis of climate change communication
Computational methods, in particular text‐as‐data or Natural Language Processing (NLP) approaches, have become popular to study climate change communication as a global and large‐scale phenomenon. Scholars have discussed opportunities and challenges of these methods for climate change communication, with some proponents and critics taking strong positions, either embracing the potential of computational methods or critically questioning their val…
Terrorist Organizations in the News
Media play a vital role in shaping public perceptions of political violence, including terrorism. By covering extremists, media grant terrorists organizations access to a global audience. While they delegitimize their actions they also empower extremists’ standing as influential actors in international conflicts. Extending research on terrorist attacks as events of political violence, this study analyzes media attention toward terrorist organizat…
Climate change in news media across the globe
Climate change poses a challenge to countries across the world, with news media being an important source of information on the issue. To understand how and how much news media cover climate change, this study compares coverage in ten countries from the Global North and the Global South between 2006 and 2018 (N = 71,674). Based on a panel analysis, we illustrate that news media attention varies across countries and is often associated with politi…
News Media Coverage of Climate Change in India 1997–2016
News media play an important role for public awareness and perception of climate change – and thus citizens’ behavior. Few studies focus on media coverage in poor and developing countries such as India – the third-largest polluter and an important player in global climate change policies. Further, even these few studies on Indian media coverage span short time periods, focus on specific events, and evaluate pre-defined themes. Applying LDA topic …
Can transparency preserve journalism’s trustworthiness? Recipients’ views on transparency about source origin and verification regarding user-generated content in the news
In a digital world, journalists increasingly integrate user-generated content (UGC) in their coverage. Journalists use coping strategies to dispel the audience’s supposed concerns about the reliability of this new type of sources and to maintain the audience’s confidence in such coverage. Transparency, in particular, is often considered as a means to preserve journalism from accusations of being biased and untrustworthy. We focus on the audience’…
The Things We Fear. Combining Automated and Manual Content Analysis to Uncover Themes, Topics and Threats in Fear-Related News
Terrorism, poverty, cancer: Citizens fear many things. Some of these fears are fueled by fear-related news as a form of sensational media coverage. As research on the variety of fears depicted in the news is scarce, this study analyzes the construction of fear-related news in the US and the UK from 1990 to 2017. By combining unsupervised machine learning in the form of topic modeling (N = 15,487) and manual content analysis (N = 1013), it explore…
On measuring trust and distrust in journalism
The rapid advancement of research on trust and distrust in the news media and the plethora of methodological approaches that accompany it leads us to critically reflect the status quo and make suggestions for the road ahead. Following a brief overview of conceptual definitions of trust and distrust as well as of related concepts used in journalism studies, we turn to our main endeavour by presenting measurements used in the field. We identify dif…
Trustworthy Or Shady
Integrating user-generated content (UGC) has become an everyday practice in online journalism. Previous research suggests this can have both a beneficial and detrimental effect on a recipient’s perception of online journalism’s trustworthiness. We conducted an online experiment that, on the one hand, examined the overall influence of integrating UGC in an online news article compared to leaving it out altogether. On the other hand, we also analyz…
Climate change in news media across the globe
Climate change poses a challenge to countries across the world, with news media being an important source of information on the issue. To understand how and how much news media cover climate change, this study compares coverage in ten countries from the Global North and the Global South between 2006 and 2018 (N = 71,674). Based on a panel analysis, we illustrate that news media attention varies across countries and is often associated with politi…
On measuring trust and distrust in journalism
The rapid advancement of research on trust and distrust in the news media and the plethora of methodological approaches that accompany it leads us to critically reflect the status quo and make suggestions for the road ahead. Following a brief overview of conceptual definitions of trust and distrust as well as of related concepts used in journalism studies, we turn to our main endeavour by presenting measurements used in the field. We identify dif…
Terrorist Organizations in the News
Media play a vital role in shaping public perceptions of political violence, including terrorism. By covering extremists, media grant terrorists organizations access to a global audience. While they delegitimize their actions they also empower extremists’ standing as influential actors in international conflicts. Extending research on terrorist attacks as events of political violence, this study analyzes media attention toward terrorist organizat…
Trustworthy Or Shady
Integrating user-generated content (UGC) has become an everyday practice in online journalism. Previous research suggests this can have both a beneficial and detrimental effect on a recipient’s perception of online journalism’s trustworthiness. We conducted an online experiment that, on the one hand, examined the overall influence of integrating UGC in an online news article compared to leaving it out altogether. On the other hand, we also analyz…
The Things We Fear. Combining Automated and Manual Content Analysis to Uncover Themes, Topics and Threats in Fear-Related News
Terrorism, poverty, cancer: Citizens fear many things. Some of these fears are fueled by fear-related news as a form of sensational media coverage. As research on the variety of fears depicted in the news is scarce, this study analyzes the construction of fear-related news in the US and the UK from 1990 to 2017. By combining unsupervised machine learning in the form of topic modeling (N = 15,487) and manual content analysis (N = 1013), it explore…
Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can
Automated classifiers (ACs), often built via supervised machine learning (SML), can categorize large, statistically powerful samples of data ranging from text to images and video. They have become widely popular measurement devices in communication science and related fields. Despite this popularity, even highly accurate classifiers make errors that cause misclassification bias and misleading results when input to downstream statistical analyses–…
Computational methods for the analysis of climate change communication
Computational methods, in particular text‐as‐data or Natural Language Processing (NLP) approaches, have become popular to study climate change communication as a global and large‐scale phenomenon. Scholars have discussed opportunities and challenges of these methods for climate change communication, with some proponents and critics taking strong positions, either embracing the potential of computational methods or critically questioning their val…
Biased Social Media Debates About Terrorism? A Content Analysis of Journalistic Coverage of and Audience Reactions to Terrorist Attacks on YouTube
Social media are an important source of news during crises such as terrorist attacks. However, how news media and their audiences make sense of terrorism on social media is subject to bias, for example, given their differential treatment of terrorism by right-wing versus Islamist extremist perpetrators. In this study, we analyze how incident- and perpetrator-related characteristics of terrorist attacks are associated with bias in public debates a…
Can transparency preserve journalism’s trustworthiness? Recipients’ views on transparency about source origin and verification regarding user-generated content in the news
In a digital world, journalists increasingly integrate user-generated content (UGC) in their coverage. Journalists use coping strategies to dispel the audience’s supposed concerns about the reliability of this new type of sources and to maintain the audience’s confidence in such coverage. Transparency, in particular, is often considered as a means to preserve journalism from accusations of being biased and untrustworthy. We focus on the audience’…
Trustworthy Or Shady
Integrating user-generated content (UGC) has become an everyday practice in online journalism. Previous research suggests this can have both a beneficial and detrimental effect on a recipient’s perception of online journalism’s trustworthiness. We conducted an online experiment that, on the one hand, examined the overall influence of integrating UGC in an online news article compared to leaving it out altogether. On the other hand, we also analyz…
On measuring trust and distrust in journalism
The rapid advancement of research on trust and distrust in the news media and the plethora of methodological approaches that accompany it leads us to critically reflect the status quo and make suggestions for the road ahead. Following a brief overview of conceptual definitions of trust and distrust as well as of related concepts used in journalism studies, we turn to our main endeavour by presenting measurements used in the field. We identify dif…
News Media Coverage of Climate Change in India 1997–2016
News media play an important role for public awareness and perception of climate change – and thus citizens’ behavior. Few studies focus on media coverage in poor and developing countries such as India – the third-largest polluter and an important player in global climate change policies. Further, even these few studies on Indian media coverage span short time periods, focus on specific events, and evaluate pre-defined themes. Applying LDA topic …
Can transparency preserve journalism’s trustworthiness? Recipients’ views on transparency about source origin and verification regarding user-generated content in the news
In a digital world, journalists increasingly integrate user-generated content (UGC) in their coverage. Journalists use coping strategies to dispel the audience’s supposed concerns about the reliability of this new type of sources and to maintain the audience’s confidence in such coverage. Transparency, in particular, is often considered as a means to preserve journalism from accusations of being biased and untrustworthy. We focus on the audience’…
The Things We Fear. Combining Automated and Manual Content Analysis to Uncover Themes, Topics and Threats in Fear-Related News
Terrorism, poverty, cancer: Citizens fear many things. Some of these fears are fueled by fear-related news as a form of sensational media coverage. As research on the variety of fears depicted in the news is scarce, this study analyzes the construction of fear-related news in the US and the UK from 1990 to 2017. By combining unsupervised machine learning in the form of topic modeling (N = 15,487) and manual content analysis (N = 1013), it explore…
Terrorist Organizations in the News
Media play a vital role in shaping public perceptions of political violence, including terrorism. By covering extremists, media grant terrorists organizations access to a global audience. While they delegitimize their actions they also empower extremists’ standing as influential actors in international conflicts. Extending research on terrorist attacks as events of political violence, this study analyzes media attention toward terrorist organizat…
Climate change in news media across the globe
Climate change poses a challenge to countries across the world, with news media being an important source of information on the issue. To understand how and how much news media cover climate change, this study compares coverage in ten countries from the Global North and the Global South between 2006 and 2018 (N = 71,674). Based on a panel analysis, we illustrate that news media attention varies across countries and is often associated with politi…
Der „Computational Turn“
Themen journalistischer Berichterstattung durch maschinelles Lernen identifizieren oder Nachrichtendiffusion automatisiert messen: Die Anwendungsmöglichkeiten der automatisierten Inhaltsanalyse in der Journalismusforschung scheinen vielfältig. Aber wie wird die computerbasierte Methode bisher eingesetzt - und welche Konsequenzen hat der „Computational Turn“ der Kommunikationswissenschaft, besonders im Hinblick auf Interdisziplinarität? Dieser Bei…
Engaging the public or asking your friends? Analysing science-related crowdfunding using behavioural and survey data
Science-related crowdfunding enables public engagement with science. However, we know little about citizens engaging with science this way: Who are the people engaging with and donating to science through crowdfunding – and how do they decide how much to give? This study analyses behavioural and survey data from the Swiss crowdfunding platform wemakeit ( N = 576). Results illustrate that a small, non-representative segment of the public engages w…
Computational methods for the analysis of climate change communication
Computational methods, in particular text‐as‐data or Natural Language Processing (NLP) approaches, have become popular to study climate change communication as a global and large‐scale phenomenon. Scholars have discussed opportunities and challenges of these methods for climate change communication, with some proponents and critics taking strong positions, either embracing the potential of computational methods or critically questioning their val…
The “computational turn”
Possibilities of applying automated content analysis in journalism studies include, for example, machine learning to identify topics in journalistic coverage or measuring news diffusion via automated approaches. But how have computational methods been applied thus far? And what are consequences of the “computational turn” in communication science, especially concerning interdisciplinarity? Based on a systematic literature review, this article sum…
Adapting to Affordances and Audiences? A Cross-Platform, Multi-Modal Analysis of the Platformization of News on Facebook, Instagram, TikTok, and Twitter
To capture audiences’ attention on social media, news outlets may disseminate journalistic content in line with platform instead of mass media logics, indicating a platformization of news. Taking a cross-platform, multi-modal approach, we analyze how German outlets select and adapt existing stories for Facebook, Instagram, TikTok, and Twitter. We combine a computational and a manual content analysis of articles and social media posts (N = 4,412),…
Fulfilling data access obligations
Research into digital platforms has become increasingly difficult. One way to overcome these difficulties is to build on data access rights in EU data protection law, which requires platforms to offer users a copy of their data. In data donation studies, researchers ask study participants to exercise this right and donate their data to science. However, there is increasing evidence that platforms do not comply with designated laws. We first discu…
Biased Social Media Debates About Terrorism? A Content Analysis of Journalistic Coverage of and Audience Reactions to Terrorist Attacks on YouTube
Social media are an important source of news during crises such as terrorist attacks. However, how news media and their audiences make sense of terrorism on social media is subject to bias, for example, given their differential treatment of terrorism by right-wing versus Islamist extremist perpetrators. In this study, we analyze how incident- and perpetrator-related characteristics of terrorist attacks are associated with bias in public debates a…
Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can
Automated classifiers (ACs), often built via supervised machine learning (SML), can categorize large, statistically powerful samples of data ranging from text to images and video. They have become widely popular measurement devices in communication science and related fields. Despite this popularity, even highly accurate classifiers make errors that cause misclassification bias and misleading results when input to downstream statistical analyses–…
Epistemologies of Digital News Production
Understanding journalists’ methods to acquire and validate their knowledge has been a key focus in journalism studies. From a sociological viewpoint, journalists are crucial knowledge creators, as their main tasks involve gathering, assembling, and disseminating news. However, technological disruptions in the twenty first century have posed significant challenges to journalistic ways of knowing. This Special Issue aims to rethink digital news pro…
Climate injustice through unequal news
Critical, but constructive
Political science (12 obras) · Computer Science (9 obras) · Media Studies and Communication (9 obras) · Law (8 obras) · Social Media and Politics (8 obras) · Sociology (8 obras) · Psychology (6 obras) · Social science (6 obras) · Climate Change Communication and Perception (5 obras) · Computational and Text Analysis Methods (5 obras)