Daniela Mahl
Biographic Data
| ID | 4267024 |
|---|---|
| NAME | Daniela Mahl |
| GIVEN NAMES | Daniela |
| FAMILY NAME | Mahl |
| SIGNATURE | MAHL D |
| AFFILIATIONS | University of Zurich |
| ORCID | 0000-0002-5330-6885 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 67 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Climate Change Communication in the Age of Artificial Intelligence
Artificial intelligence (AI), and especially generative AI (GenAI), is rapidly reshaping climate change communication (CCC). Once dominated by news coverage and public campaigns, CCC now extends across scientists, NGOs, corporations, journalists, influencers, and citizens—all increasingly encountering and adopting AI tools. This article provides a comprehensive review of scholarship on the nexus of AI and CCC, synthesizing insights scattered acro…
Studying the discursive order of artificial intelligence: Cross-national media coverage in China, Germany, and the US (2012–2024)
As a transformative force, artificial intelligence (AI) has become central to national interests, international prestige, and geopolitical strategy, sparking a global competition for leadership as countries vie for economic and political influence. This competition also unfolds discursively, as nations and sectors seek to shape the public debate about the economic, political, and societal implications of AI. Despite this, scholarship remains larg…
We Follow the Disinformation: Conceptualizing and Analyzing Fact-Checking Cultures Across Countries
Democratic societies inherently depend on an informed citizenry. By shaping citizens’ voting behavior, fostering political cynicism, and reducing trust in institutions, misinformation can pose significant challenges to individuals and societies. Against this backdrop, fact-checking initiatives aimed at verifying the accuracy of publicly disseminated (mis)information have flourished worldwide. However, existing research is disproportionately orien…
Responsible artificial intelligence in public health: A Delphi study on risk communication, community engagement and infodemic management
INTRODUCTION: Artificial intelligence (AI) holds the potential to fundamentally transform how public health authorities use risk communication, community engagement and infodemic management (RCCE-IM) to prepare for, manage and mitigate public health emergencies. As research on this crucial transformation remains limited, we conducted a modified Delphi study on the impact of AI on RCCE-IM. METHODS: In two successive surveys, 54 experts-scholars wi…
How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments
Generative artificial intelligence in general and ChatGPT in particular have risen in importance. ChatGPT is widely known and used increasingly as an information source for different topics, including science. It is therefore relevant to examine how ChatGPT portrays science and science-related issues. Research on this question is lacking, however. Hence, we simulate “interviews” with ChatGPT and reconstruct how it presents science, science commun…
Framing as a Bridging Concept for Climate Change Communication: A Systematic Review Based on 25 Years of Literature
In line with the urgency of problems related to climate change, studies on the framing of this issue have flourished in recent years. However, as in framing research overall, a lack of definitions complicates the synthesis of theoretical/empirical insights. This systematic review contrasts trends of framing in climate change communication to those observed in reviews of communication research overall and harnesses framing’s power to bridge perspe…
The “computational turn”: An “interdisciplinary turn”? A systematic review of text as data approaches in journalism studies
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…
Noise Pollution: A Multi-Step Approach to Assessing the Consequences of (Not) Validating Search Terms on Automated Content Analyses
Advances in analytical methodologies and an avalanche of digitized data have opened new avenues for (digital) journalism research—and with it, new challenges. One of these challenges concerns the sampling and evaluation of data using (non-validated) search terms in combination with automated content analyses. This challenge has largely been neglected by research, which is surprising, considering that noise slipping in during the process of data c…
Platformization of Conspiracism: Introducing a Theoretical Framework for Investigating Conspiracy Theories on "Alternative" Platforms Using a Case Study of Bitchute and Gab
Digital platforms have modified conspiracy theory communication as they enable users to publicly share their support, to circumvent traditional gatekeepers, and to form like-minded communities. However, the impacts of conspiracy discourses differ greatly between platforms. By drawing on critical platform studies, this article introduces a theoretical and analytical framework to investigate the interplay and mutual shaping between “alternative” pl…
Conceptualizing platformed conspiracism: Analytical framework and empirical case study of BitChute and Gab
This article introduces the notion of platformed conspiracism to conceptualize reconfigured forms of conspiracy theory communication as a result of the mutual shaping between platform specificities and emergent user practices. To investigate this relational socio-technological shaping, we propose a conceptual platform-sensitive framework that systematically guides the study of platformed conspiracism. To illustrate the application of the framewor…
Der „Computational Turn“: Ein „interdisziplinärer Turn“? Ein systematischer Überblick zur Nutzung der automatisierten Inhaltsanalyse in der Journalismusforschung
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…
Conspiracy theories in online environments: An interdisciplinary literature review and agenda for future research
Research on conspiracy theories in digital media has grown considerably in recent years. As a result, the field of research has become more multidisciplinary and diverse. To bridge disciplinary boundaries, identify foci of analysis and research gaps, this study provides an interdisciplinary systematic literature review (2007–2020), analyzing current research on conspiracy theorizing online, both quantitatively and qualitatively. Findings show tha…
Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018)
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…
From 'Nasa Lies' to 'Reptilian Eyes: Mapping Communication About 10 Conspiracy Theories, Their Communities, and Main Propagators on Twitter
In recent years, conspiracy theories have pervaded mainstream discourse. Social media, in particular, reinforce their visibility and propagation. However, most prior studies on the dissemination of conspiracy theories in digital environments have focused on individual cases or conspiracy theories as a generic phenomenon. Our research addresses this gap by comparing the 10 most prominent conspiracy theories on Twitter, the communities supporting t…
News Media Coverage of Climate Change in India 1997–2016: Using Automated Content Analysis to Assess Themes and Topics
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 …
“We are a Bit Blind About it”: A Qualitative Analysis of Climate Change-Related Perceptions and Communication Across South African Communities
Climate change-related perceptions and communication are important factors influencing people’s support for climate change policies and individual behavior. Since research on both climate change-related perceptions and communication is biased towards Western countries and standardized research methodologies, this paper investigates perceptions across South African communities using a deductive-inductive qualitative approach. 20 individuals in thr…
Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018)
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…
Conspiracy theories in online environments: An interdisciplinary literature review and agenda for future research
Research on conspiracy theories in digital media has grown considerably in recent years. As a result, the field of research has become more multidisciplinary and diverse. To bridge disciplinary boundaries, identify foci of analysis and research gaps, this study provides an interdisciplinary systematic literature review (2007–2020), analyzing current research on conspiracy theorizing online, both quantitatively and qualitatively. Findings show tha…
We Follow the Disinformation: Conceptualizing and Analyzing Fact-Checking Cultures Across Countries
Democratic societies inherently depend on an informed citizenry. By shaping citizens’ voting behavior, fostering political cynicism, and reducing trust in institutions, misinformation can pose significant challenges to individuals and societies. Against this backdrop, fact-checking initiatives aimed at verifying the accuracy of publicly disseminated (mis)information have flourished worldwide. However, existing research is disproportionately orien…
From 'Nasa Lies' to 'Reptilian Eyes: Mapping Communication About 10 Conspiracy Theories, Their Communities, and Main Propagators on Twitter
In recent years, conspiracy theories have pervaded mainstream discourse. Social media, in particular, reinforce their visibility and propagation. However, most prior studies on the dissemination of conspiracy theories in digital environments have focused on individual cases or conspiracy theories as a generic phenomenon. Our research addresses this gap by comparing the 10 most prominent conspiracy theories on Twitter, the communities supporting t…
News Media Coverage of Climate Change in India 1997–2016: Using Automated Content Analysis to Assess Themes and Topics
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 …
“We are a Bit Blind About it”: A Qualitative Analysis of Climate Change-Related Perceptions and Communication Across South African Communities
Climate change-related perceptions and communication are important factors influencing people’s support for climate change policies and individual behavior. Since research on both climate change-related perceptions and communication is biased towards Western countries and standardized research methodologies, this paper investigates perceptions across South African communities using a deductive-inductive qualitative approach. 20 individuals in thr…
Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018)
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…
From 'Nasa Lies' to 'Reptilian Eyes: Mapping Communication About 10 Conspiracy Theories, Their Communities, and Main Propagators on Twitter
In recent years, conspiracy theories have pervaded mainstream discourse. Social media, in particular, reinforce their visibility and propagation. However, most prior studies on the dissemination of conspiracy theories in digital environments have focused on individual cases or conspiracy theories as a generic phenomenon. Our research addresses this gap by comparing the 10 most prominent conspiracy theories on Twitter, the communities supporting t…
Der „Computational Turn“: Ein „interdisziplinärer Turn“? Ein systematischer Überblick zur Nutzung der automatisierten Inhaltsanalyse in der Journalismusforschung
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…
Conspiracy theories in online environments: An interdisciplinary literature review and agenda for future research
Research on conspiracy theories in digital media has grown considerably in recent years. As a result, the field of research has become more multidisciplinary and diverse. To bridge disciplinary boundaries, identify foci of analysis and research gaps, this study provides an interdisciplinary systematic literature review (2007–2020), analyzing current research on conspiracy theorizing online, both quantitatively and qualitatively. Findings show tha…
The “computational turn”: An “interdisciplinary turn”? A systematic review of text as data approaches in journalism studies
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…
Noise Pollution: A Multi-Step Approach to Assessing the Consequences of (Not) Validating Search Terms on Automated Content Analyses
Advances in analytical methodologies and an avalanche of digitized data have opened new avenues for (digital) journalism research—and with it, new challenges. One of these challenges concerns the sampling and evaluation of data using (non-validated) search terms in combination with automated content analyses. This challenge has largely been neglected by research, which is surprising, considering that noise slipping in during the process of data c…
Platformization of Conspiracism: Introducing a Theoretical Framework for Investigating Conspiracy Theories on "Alternative" Platforms Using a Case Study of Bitchute and Gab
Digital platforms have modified conspiracy theory communication as they enable users to publicly share their support, to circumvent traditional gatekeepers, and to form like-minded communities. However, the impacts of conspiracy discourses differ greatly between platforms. By drawing on critical platform studies, this article introduces a theoretical and analytical framework to investigate the interplay and mutual shaping between “alternative” pl…
Conceptualizing platformed conspiracism: Analytical framework and empirical case study of BitChute and Gab
This article introduces the notion of platformed conspiracism to conceptualize reconfigured forms of conspiracy theory communication as a result of the mutual shaping between platform specificities and emergent user practices. To investigate this relational socio-technological shaping, we propose a conceptual platform-sensitive framework that systematically guides the study of platformed conspiracism. To illustrate the application of the framewor…
Framing as a Bridging Concept for Climate Change Communication: A Systematic Review Based on 25 Years of Literature
In line with the urgency of problems related to climate change, studies on the framing of this issue have flourished in recent years. However, as in framing research overall, a lack of definitions complicates the synthesis of theoretical/empirical insights. This systematic review contrasts trends of framing in climate change communication to those observed in reviews of communication research overall and harnesses framing’s power to bridge perspe…
Responsible artificial intelligence in public health: A Delphi study on risk communication, community engagement and infodemic management
INTRODUCTION: Artificial intelligence (AI) holds the potential to fundamentally transform how public health authorities use risk communication, community engagement and infodemic management (RCCE-IM) to prepare for, manage and mitigate public health emergencies. As research on this crucial transformation remains limited, we conducted a modified Delphi study on the impact of AI on RCCE-IM. METHODS: In two successive surveys, 54 experts-scholars wi…
How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments
Generative artificial intelligence in general and ChatGPT in particular have risen in importance. ChatGPT is widely known and used increasingly as an information source for different topics, including science. It is therefore relevant to examine how ChatGPT portrays science and science-related issues. Research on this question is lacking, however. Hence, we simulate “interviews” with ChatGPT and reconstruct how it presents science, science commun…
Climate Change Communication in the Age of Artificial Intelligence
Artificial intelligence (AI), and especially generative AI (GenAI), is rapidly reshaping climate change communication (CCC). Once dominated by news coverage and public campaigns, CCC now extends across scientists, NGOs, corporations, journalists, influencers, and citizens—all increasingly encountering and adopting AI tools. This article provides a comprehensive review of scholarship on the nexus of AI and CCC, synthesizing insights scattered acro…
Studying the discursive order of artificial intelligence: Cross-national media coverage in China, Germany, and the US (2012–2024)
As a transformative force, artificial intelligence (AI) has become central to national interests, international prestige, and geopolitical strategy, sparking a global competition for leadership as countries vie for economic and political influence. This competition also unfolds discursively, as nations and sectors seek to shape the public debate about the economic, political, and societal implications of AI. Despite this, scholarship remains larg…
We Follow the Disinformation: Conceptualizing and Analyzing Fact-Checking Cultures Across Countries
Democratic societies inherently depend on an informed citizenry. By shaping citizens’ voting behavior, fostering political cynicism, and reducing trust in institutions, misinformation can pose significant challenges to individuals and societies. Against this backdrop, fact-checking initiatives aimed at verifying the accuracy of publicly disseminated (mis)information have flourished worldwide. However, existing research is disproportionately orien…
Computer Science (9 works) · Political science (9 works) · Sociology (9 works) · Misinformation and Its Impacts (7 works) · Psychology (6 works) · Climate Change Communication and Perception (5 works) · Geography (5 works) · Climate change (4 works) · Computational and Text Analysis Methods (4 works) · Ecology (4 works)