Chung‐hong Chan
Biographic Data
| ID | 4450919 |
|---|---|
| NAME | Chung‐hong Chan |
| GIVEN NAMES | Chung‐hong |
| FAMILY NAME | Chan |
| SIGNATURE | CHAN C H |
| AFFILIATIONS | University of Mannheim |
| ORCID | 0000-0002-6232-7530 |
| VERIFIED | Yes |
| TOTAL WORKS | 22 |
| TOTAL CITATIONS | 42 |
| AUTHOR COUNT | 22 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Newer, Larger, Better? A Critique of the Unreflective LLM Adoption in Communication Research
The growing adoption of large language models (LLMs) in political communication research has prompted excitement but also concern. In this opinion piece, we offer an informed and critical overview of common LLM use cases in the field, including text analysis, synthetic data generation, and experiments. We argue that while these tools can be appealing, they often introduce serious epistemic, environ-mental, and infrastructural trade-offs that are …
Rethinking Scaling Up Content Analysis
The use of automated coding procedures to scale up content analysis has risen over the last years. Using a mixed-method approach, we examine researchers’ justifications to scale up content analysis and assess the methodological adjustments—or lack thereof—when employing supervised machine learning for 38 large-scale content analyses. Almost all of the included studies displayed deficiencies in study design, primarily related to the uncritical use…
How shared ties and journalistic cultures shape global news coverage of disruptive media events
In recent decades, disruptive media events, such as major terrorist attacks, have gained increasing relevance in news coverage around the world. Despite the growing importance of such globally broadcast media events, little research to date has examined cross-national variation in event coverage or the predictors of this variation. This study examines news coverage about the 9/11 terror attacks in the United States across 51 countries to analyze …
Developing a synthetic news corpus to validate generic frame detection methods
Frames are a central concept in communication research. Based on our literature review, we propose that frame identification is an act of identifying selected reality and communicative intention. We then highlight the conceptual and methodological issues of frame identification using computational methods. To avoid the correlation between topics and frames, we provide a synthetic dataset for evaluating frames found in multi-topical news content, …
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–…
Software presentation
Challenging the Global Cultural Conflict Narrative
Recent terrorist attacks such as the Christchurch mosque attacks in 2019 renew the discussion of whether right-wing attacks are reported less negatively than Islamist attacks. To clarify this point, our study is the first to combine the selection of media inside and outside the West with a distinction between Islamist and right-wing attacks. We compare coverage given to thirty-two right-wing and forty Islamist attacks from 2015 to 2019 in nine We…
Discourse integration in positional online news reader comments
Online discourse integration, or the degree to which online user comments are responsive, that is, address or refer to other debate participants, is a normatively valued yet neglected quality dimension of online discussions. This preregistered study features the first cross-country/cross-platform investigation of online discourse integration, using manual and computational content analysis ( N = 9835 and N = 30,753 positional news reader comments…
Envisioning a More Inclusive Future for Digital Journalism
Recent years have seen an increasing amount of self-reflective discussion among media and communication scholars, about the hegemonic structures and inclusive participation within the field. In the scholarly community of journalism studies, similar reflections have emerged in recent years. Digital Journalism has also been actively pursuing a diverse and equitable scholarship in its journal. As part of the 10th anniversary issue of Digital Journal…
Differential Racism in the News
Philipp Müllerab* , Chung-Hong Chanbc, Katharina Ludwigab, Rainer Freudenthalerab & Hartmut Wessleraba Institute for Media and Communication Studies, University of Mannheim, Mannheim, Germanyb Mannheim Center for European Social Research, University of Mannheim, Mannheim, Germanyc Department of Computational Social Science, GESIS – Leibniz Institute for the Social Sciences, Cologne, GermanyPhilipp Müller (PhD, LMU Munich, 2015) is Senior Lecturer…
The Highs in Communication Research
More and more scholarly attention is paid to dissecting discipline of communication research under the microscope thereby aiming at revealing foci of scientific interest. The lion’s share of research has hereby focused either on the supply side of research examining what topics scholars write about or at the popularity side of research shedding light on what scientific publications receive the most citations. Building up on this, we argue that th…
Contested Chinese Dreams of AI? Public discourse about Artificial intelligence on WeChat and People’s Daily Online
Artificial intelligence (AI) has become a prominent public issue, particularly in China, where the government has announced plans to turn the country into a global AI power. This study analyses public discourse about AI in China through the conceptual lens of public spheres theory and counter-public spheres. It compares the official AI narrative on People’s Daily Online with public discussion about AI on the social medium WeChat, where we assumed…
Enhancing Theory-Informed Dictionary Approaches with “Glass-box” Machine Learning
Dictionary-based approaches to computational text analysis have been shown to perform relatively poorly, particularly when the dictionaries rely on simple bags of words, are not specified for the domain under study, and add word scores without weighting. While machine learning approaches usually perform better, they offer little insight into (a) which of the assumptions underlying dictionary approaches (bag-of-words, domain transferability, or ad…
Linking event archives to news
Digital archives that document real-world events provide new opportunities for large-scale analyses of how news coverage represents reality. We present a method and open-source tool for linking event data to news articles, and demonstrate its application with an analysis of event and country level predictors of terrorism coverage in The Guardian from 2006 to 2018, using event data from the Global Terrorism Database (GTD). Our method builds on est…
Multiperspectival Normative Assessment
This article provides a model for how communication phenomena can be normatively assessed using multiple normative perspectives simultaneously. We exemplify the procedure of multiperspectival normative assessment (MNA) using mediated reactions to terrorism as our case in point. We first identify the normative challenges related to the speed and substance of terrorism communication and the ways in which relations of solidarity are communicatively …
Reproducible Extraction of Cross-lingual Topics (rectr)
With global media content databases and online content being available, analyzing topical structures in different languages simultaneously has become an urgent computational task. Some previous studies have analyzed topics in a multilingual corpus by translating all items into a single language using a machine translation service, such as Google Translate. We argue that this method is not reproducible in the long run and proposes a new method – R…
How did Ebola information spread on twitter
Broadcasting was the dominant mechanism of information diffusion of a major health event on Twitter. It suggests that public health communicators can work beneficially with influential and hidden influential users to get the message across, because influential and hidden influential users can reach more people that are not following the public health Twitter accounts. Although both influential users and hidden influential users can trigger many r…
The “mutual ignoring” mechanism of cyberbalkanization
Cyberbalkanization has been observed in some online activities, but its mechanism remains uncertain. Drawing on the Social Balance Theory, we theorized that the formation of “mutual ignoring” triads (three actors in a group with only a pair of interacts) in a network is a key procedure for cyberbalkanization. A cyberbalkanized network was constructed using data shared on Facebook Pages during the 2014 Hong Kong protests. Our findings indicate “mu…
The Relationship Between Cyberbalkanization and Opinion Polarization
Online activity is often cyberbalkanized, but it remains unclear whether this phenomenon leads to polarization of public opinion or if the relationship works in the reverse direction. This study tested the temporal association between cyberbalkanization and opinion polarization during the debate on political reform in Hong Kong. Online communities were constructed by a post-sharing network of 1,644 Facebook pages (101,410 shares); the differences…
Assessing Censorship on Microblogs in China
The authors investigated censorship practices and the use of microblogs-or weibos, in Chinese-using 111 million microblogs collected between 1 January and 30 June 2012. To better control for alternative explanations for censorship decisions attributable to an individual's characteristics and choices, they used a matched case-control study design to determine a list of Chinese terms that discriminate censored and uncensored posts written by the sa…
Public opinions on tax and retail-based tobacco control strategies
While the support level varied between smokers and non-smokers, price and retail-based tobacco control strategies were consistently supported by the public, providing useful information for jurisdictions examining emerging tobacco control strategies
Parental use of the term "Hot Qi" to describe symptoms in their children in Hong Kong
Background The Chinese term "Hot Qi" is often used by parents to describe symptoms in their children. The current study was carried out to estimate the prevalence of using the Chinese term "Hot Qi" to describe symptoms in children by their parents and the symptomatology of "Hot Qi". Method A cross sectional survey by face-to-face interview with a semi-structured questionnaire was carried out in a public hospital and a private clinic in Hong Kong.…
The Relationship Between Cyberbalkanization and Opinion Polarization
Online activity is often cyberbalkanized, but it remains unclear whether this phenomenon leads to polarization of public opinion or if the relationship works in the reverse direction. This study tested the temporal association between cyberbalkanization and opinion polarization during the debate on political reform in Hong Kong. Online communities were constructed by a post-sharing network of 1,644 Facebook pages (101,410 shares); the differences…
Differential Racism in the News
Philipp Müllerab* , Chung-Hong Chanbc, Katharina Ludwigab, Rainer Freudenthalerab & Hartmut Wessleraba Institute for Media and Communication Studies, University of Mannheim, Mannheim, Germanyb Mannheim Center for European Social Research, University of Mannheim, Mannheim, Germanyc Department of Computational Social Science, GESIS – Leibniz Institute for the Social Sciences, Cologne, GermanyPhilipp Müller (PhD, LMU Munich, 2015) is Senior Lecturer…
Reproducible Extraction of Cross-lingual Topics (rectr)
With global media content databases and online content being available, analyzing topical structures in different languages simultaneously has become an urgent computational task. Some previous studies have analyzed topics in a multilingual corpus by translating all items into a single language using a machine translation service, such as Google Translate. We argue that this method is not reproducible in the long run and proposes a new method – R…
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–…
Parental use of the term "Hot Qi" to describe symptoms in their children in Hong Kong
Background The Chinese term "Hot Qi" is often used by parents to describe symptoms in their children. The current study was carried out to estimate the prevalence of using the Chinese term "Hot Qi" to describe symptoms in children by their parents and the symptomatology of "Hot Qi". Method A cross sectional survey by face-to-face interview with a semi-structured questionnaire was carried out in a public hospital and a private clinic in Hong Kong.…
Software presentation
Challenging the Global Cultural Conflict Narrative
Recent terrorist attacks such as the Christchurch mosque attacks in 2019 renew the discussion of whether right-wing attacks are reported less negatively than Islamist attacks. To clarify this point, our study is the first to combine the selection of media inside and outside the West with a distinction between Islamist and right-wing attacks. We compare coverage given to thirty-two right-wing and forty Islamist attacks from 2015 to 2019 in nine We…
Envisioning a More Inclusive Future for Digital Journalism
Recent years have seen an increasing amount of self-reflective discussion among media and communication scholars, about the hegemonic structures and inclusive participation within the field. In the scholarly community of journalism studies, similar reflections have emerged in recent years. Digital Journalism has also been actively pursuing a diverse and equitable scholarship in its journal. As part of the 10th anniversary issue of Digital Journal…
Enhancing Theory-Informed Dictionary Approaches with “Glass-box” Machine Learning
Dictionary-based approaches to computational text analysis have been shown to perform relatively poorly, particularly when the dictionaries rely on simple bags of words, are not specified for the domain under study, and add word scores without weighting. While machine learning approaches usually perform better, they offer little insight into (a) which of the assumptions underlying dictionary approaches (bag-of-words, domain transferability, or ad…
Discourse integration in positional online news reader comments
Online discourse integration, or the degree to which online user comments are responsive, that is, address or refer to other debate participants, is a normatively valued yet neglected quality dimension of online discussions. This preregistered study features the first cross-country/cross-platform investigation of online discourse integration, using manual and computational content analysis ( N = 9835 and N = 30,753 positional news reader comments…
Multiperspectival Normative Assessment
This article provides a model for how communication phenomena can be normatively assessed using multiple normative perspectives simultaneously. We exemplify the procedure of multiperspectival normative assessment (MNA) using mediated reactions to terrorism as our case in point. We first identify the normative challenges related to the speed and substance of terrorism communication and the ways in which relations of solidarity are communicatively …
Parental use of the term "Hot Qi" to describe symptoms in their children in Hong Kong
Background The Chinese term "Hot Qi" is often used by parents to describe symptoms in their children. The current study was carried out to estimate the prevalence of using the Chinese term "Hot Qi" to describe symptoms in children by their parents and the symptomatology of "Hot Qi". Method A cross sectional survey by face-to-face interview with a semi-structured questionnaire was carried out in a public hospital and a private clinic in Hong Kong.…
Assessing Censorship on Microblogs in China
The authors investigated censorship practices and the use of microblogs-or weibos, in Chinese-using 111 million microblogs collected between 1 January and 30 June 2012. To better control for alternative explanations for censorship decisions attributable to an individual's characteristics and choices, they used a matched case-control study design to determine a list of Chinese terms that discriminate censored and uncensored posts written by the sa…
Public opinions on tax and retail-based tobacco control strategies
While the support level varied between smokers and non-smokers, price and retail-based tobacco control strategies were consistently supported by the public, providing useful information for jurisdictions examining emerging tobacco control strategies
The Relationship Between Cyberbalkanization and Opinion Polarization
Online activity is often cyberbalkanized, but it remains unclear whether this phenomenon leads to polarization of public opinion or if the relationship works in the reverse direction. This study tested the temporal association between cyberbalkanization and opinion polarization during the debate on political reform in Hong Kong. Online communities were constructed by a post-sharing network of 1,644 Facebook pages (101,410 shares); the differences…
The “mutual ignoring” mechanism of cyberbalkanization
Cyberbalkanization has been observed in some online activities, but its mechanism remains uncertain. Drawing on the Social Balance Theory, we theorized that the formation of “mutual ignoring” triads (three actors in a group with only a pair of interacts) in a network is a key procedure for cyberbalkanization. A cyberbalkanized network was constructed using data shared on Facebook Pages during the 2014 Hong Kong protests. Our findings indicate “mu…
How did Ebola information spread on twitter
Broadcasting was the dominant mechanism of information diffusion of a major health event on Twitter. It suggests that public health communicators can work beneficially with influential and hidden influential users to get the message across, because influential and hidden influential users can reach more people that are not following the public health Twitter accounts. Although both influential users and hidden influential users can trigger many r…
Reproducible Extraction of Cross-lingual Topics (rectr)
With global media content databases and online content being available, analyzing topical structures in different languages simultaneously has become an urgent computational task. Some previous studies have analyzed topics in a multilingual corpus by translating all items into a single language using a machine translation service, such as Google Translate. We argue that this method is not reproducible in the long run and proposes a new method – R…
Enhancing Theory-Informed Dictionary Approaches with “Glass-box” Machine Learning
Dictionary-based approaches to computational text analysis have been shown to perform relatively poorly, particularly when the dictionaries rely on simple bags of words, are not specified for the domain under study, and add word scores without weighting. While machine learning approaches usually perform better, they offer little insight into (a) which of the assumptions underlying dictionary approaches (bag-of-words, domain transferability, or ad…
Linking event archives to news
Digital archives that document real-world events provide new opportunities for large-scale analyses of how news coverage represents reality. We present a method and open-source tool for linking event data to news articles, and demonstrate its application with an analysis of event and country level predictors of terrorism coverage in The Guardian from 2006 to 2018, using event data from the Global Terrorism Database (GTD). Our method builds on est…
Multiperspectival Normative Assessment
This article provides a model for how communication phenomena can be normatively assessed using multiple normative perspectives simultaneously. We exemplify the procedure of multiperspectival normative assessment (MNA) using mediated reactions to terrorism as our case in point. We first identify the normative challenges related to the speed and substance of terrorism communication and the ways in which relations of solidarity are communicatively …
The Highs in Communication Research
More and more scholarly attention is paid to dissecting discipline of communication research under the microscope thereby aiming at revealing foci of scientific interest. The lion’s share of research has hereby focused either on the supply side of research examining what topics scholars write about or at the popularity side of research shedding light on what scientific publications receive the most citations. Building up on this, we argue that th…
Contested Chinese Dreams of AI? Public discourse about Artificial intelligence on WeChat and People’s Daily Online
Artificial intelligence (AI) has become a prominent public issue, particularly in China, where the government has announced plans to turn the country into a global AI power. This study analyses public discourse about AI in China through the conceptual lens of public spheres theory and counter-public spheres. It compares the official AI narrative on People’s Daily Online with public discussion about AI on the social medium WeChat, where we assumed…
Software presentation
Challenging the Global Cultural Conflict Narrative
Recent terrorist attacks such as the Christchurch mosque attacks in 2019 renew the discussion of whether right-wing attacks are reported less negatively than Islamist attacks. To clarify this point, our study is the first to combine the selection of media inside and outside the West with a distinction between Islamist and right-wing attacks. We compare coverage given to thirty-two right-wing and forty Islamist attacks from 2015 to 2019 in nine We…
Discourse integration in positional online news reader comments
Online discourse integration, or the degree to which online user comments are responsive, that is, address or refer to other debate participants, is a normatively valued yet neglected quality dimension of online discussions. This preregistered study features the first cross-country/cross-platform investigation of online discourse integration, using manual and computational content analysis ( N = 9835 and N = 30,753 positional news reader comments…
Envisioning a More Inclusive Future for Digital Journalism
Recent years have seen an increasing amount of self-reflective discussion among media and communication scholars, about the hegemonic structures and inclusive participation within the field. In the scholarly community of journalism studies, similar reflections have emerged in recent years. Digital Journalism has also been actively pursuing a diverse and equitable scholarship in its journal. As part of the 10th anniversary issue of Digital Journal…
Differential Racism in the News
Philipp Müllerab* , Chung-Hong Chanbc, Katharina Ludwigab, Rainer Freudenthalerab & Hartmut Wessleraba Institute for Media and Communication Studies, University of Mannheim, Mannheim, Germanyb Mannheim Center for European Social Research, University of Mannheim, Mannheim, Germanyc Department of Computational Social Science, GESIS – Leibniz Institute for the Social Sciences, Cologne, GermanyPhilipp Müller (PhD, LMU Munich, 2015) is Senior Lecturer…
How shared ties and journalistic cultures shape global news coverage of disruptive media events
In recent decades, disruptive media events, such as major terrorist attacks, have gained increasing relevance in news coverage around the world. Despite the growing importance of such globally broadcast media events, little research to date has examined cross-national variation in event coverage or the predictors of this variation. This study examines news coverage about the 9/11 terror attacks in the United States across 51 countries to analyze …
Developing a synthetic news corpus to validate generic frame detection methods
Frames are a central concept in communication research. Based on our literature review, we propose that frame identification is an act of identifying selected reality and communicative intention. We then highlight the conceptual and methodological issues of frame identification using computational methods. To avoid the correlation between topics and frames, we provide a synthetic dataset for evaluating frames found in multi-topical news content, …
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–…
Rethinking Scaling Up Content Analysis
The use of automated coding procedures to scale up content analysis has risen over the last years. Using a mixed-method approach, we examine researchers’ justifications to scale up content analysis and assess the methodological adjustments—or lack thereof—when employing supervised machine learning for 38 large-scale content analyses. Almost all of the included studies displayed deficiencies in study design, primarily related to the uncritical use…
Newer, Larger, Better? A Critique of the Unreflective LLM Adoption in Communication Research
The growing adoption of large language models (LLMs) in political communication research has prompted excitement but also concern. In this opinion piece, we offer an informed and critical overview of common LLM use cases in the field, including text analysis, synthetic data generation, and experiments. We argue that while these tools can be appealing, they often introduce serious epistemic, environ-mental, and infrastructural trade-offs that are …
Computer Science (13 works) · Political science (10 works) · Sociology (10 works) · Social Media and Politics (8 works) · Law (7 works) · Media studies (7 works) · Politics (7 works) · Computational and Text Analysis Methods (6 works) · Law (6 works) · Artificial Intelligence (5 works)