Yee Man Margaret Ng
Biographic Data
| ID | 215304 |
|---|---|
| NAME | Yee Man Margaret Ng |
| GIVEN NAMES | Yee Man Margaret |
| FAMILY NAME | Ng |
| SIGNATURE | NG Y M M |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0001-5043-9159 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 32 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
The journalists’ exodus: Navigating the transition from Twitter to Mastodon and other alternative platforms
This study examines how journalists are grappling with platform migration following Elon Musk’s acquisition of Twitterin October 2022. Using a mixed-method approach that combines computational analysis of the activities of 861 journalists on Twitter and Mastodon with qualitative interviews of 11 active journalists, this study aims to (1) examine the extent to which journalists have exhibited different forms of Twitter disengagement post-acquisiti…
A Cross-National Study of Fear Appeal Messages in YouTube Trending Videos About Covid-19
The COVID-19 pandemic has underlined the need for investigating the prevalence and nature of health communication on social media. Applying the Extended Parallel Process Model, this study analyzes the use of fear appeals in 2,152 YouTube trending videos across six countries (the United States, Brazil, Russia, Taiwan, Canada, and New Zealand) from January to May 2020. The findings reveal that, during the early stage of the outbreak, COVID-19-theme…
Beyond dislike counts: How YouTube users react to the visibility of social cues
This study investigates the impact of YouTube’s 2021 policy, which hides dislike counts and limits a form of negative social feedback. It examines how this change affects social media herding behavior—the tendency of users to align with the majority opinion. We adopted a mixed-method approach, incorporating an online experiment that simulates the YouTube interface and an Interrupted Time Series analysis of real-world user reactions, to assess how…
Twitter intermittent and permanent discontinuance: A multi-method approach to study innovation diffusion
The expression effects of uncivil disagreement: The mechanisms of cognitive dissonance and self-perception
Political incivility is pervasive and still on the rise. Although empirical studies have examined the effects of exposure to political incivility in different contexts, few have attempted to investigate the expression effects of incivility on its senders. This study proposes two mechanisms—cognitive dissonance and self-perception—to explain the expression effects of political incivility on anger, perceptions of incivility, and political participa…
Integrating Human Insights Into Text Analysis: Semi-Supervised Topic Modeling of Emerging Food-Technology Businesses’ Brand Communication on Social Media
Textual social media data have become indispensable to researchers’ understanding of message strategies and other marketing practices. In a new departure for the field of brand communication, this study adopts and extends a semi-supervised machine-learning approach, guided latent Dirichlet allocation (LDA), which incorporates human insights into the discovery and classification of topics. We used it to analyze tweets from businesses involved with…
Using data visualizations to study digital public spaces
This article reviews the history and current data visualizations in studying digital public spaces. I will discuss the recent development of visualizing raw data numerically, relationally, spatially, and textually. Each method involves different visual representations to integrate data collection with analysis and presentation of results. Through a case study of global Web use, this article also demonstrates a thinking process and analytical work…
Teaching Computational Social Science for All
Computational methods have become an integral part of political science research. However, helping students to acquire these new skills is challenging because programming proficiency is necessary, and most political science students have little coding experience. This article presents pedagogical strategies to make transitioning from Excel, SPSS, or Stata to R or Python for data analytics less challenging and more exciting. First, it discusses tw…
Connective action or collective inertia? Emotion, cognition, and the limits of digitally networked resistance
Connective action, or individuals networking with each other online to form social movements, rarely leads to lasting change. In this study, we argue that such movements are ultimately ineffective because they struggle to sustain themselves over time and identify the reasons behind their transience. Our analysis focuses on Twitter conversations about Aadhaar, a biometric ID project that has raised concerns about data privacy and civil liberty in …
Cascading Crises: Society in the Age of Covid-19
The tsunami of change triggered by the COVID-19 pandemic has transformed society in a series of cascading crises. Unlike disasters that are more temporarily and spatially bounded, the pandemic has continued to expand across time and space for over a year, leaving an unusually broad range of second-order and third-order harms in its wake. Globally, the unusual conditions of the pandemic-unlike other crises-have impacted almost every facet of our l…
Still Unwilling to Pay: An Empirical Analysis of 50 U.S. Newspapers’ Digital Subscription Results
U.S. newspapers’ digital experiment has been going on for more than two decades, with Christensen’s disruptive technology thesis providing theoretical support for the industry’s digital transformation process. Most newspapers expanded their digital offerings, erecting paywalls since 2011. However, little is known about local newspapers’ paywall results. To extend media economics research on digital news consumption and to assess the influence and…
Re-examining the innovation post-adoption process: The case of Twitter discontinuance
Sharing Knowledge and 'Microbubbles: Epistemic Communities and Insularity in US Political Journalism
This article examines the peer-to-peer dynamics of Washington political journalists as Communities of Practice (CoPs) to better understand how journalists connect to and learn from each other and establish conventional knowledge. We employ inductive computational analysis that combines social network analysis of journalists' Twitter interactions with a qualitative, thematic analysis of journalists' work histories, organizational affiliations, and…
Exploring how online political quizzes boost interest in politics, political news, and political engagement
This study sought to understand whether people’s exposure to online quiz questions about politics could pique people’s interest in political news and politics. An online experiment (N = 585) showed support for a mediation model that demonstrated the psychological process by which taking an online political quiz could boost interest in political news and politics. Results showed that exposure to the quiz indirectly increased interest in politics a…
Reddit's Veil of Anonymity: Predictors of engagement and participation in media environments with hostile reputations
This research investigates how personality strength, news engagement, and news consumption influence engagement on Reddit, an environment that affords varying degrees of anonymity and is known to paradoxically host toxic and supportive communities. Using a survey of Redditors, findings suggest women are less likely to comment and post but are equally likely to vote and read posts as men, indicating there may be hesitation to engage in using more …
Connective action or collective inertia? Emotion, cognition, and the limits of digitally networked resistance
Connective action, or individuals networking with each other online to form social movements, rarely leads to lasting change. In this study, we argue that such movements are ultimately ineffective because they struggle to sustain themselves over time and identify the reasons behind their transience. Our analysis focuses on Twitter conversations about Aadhaar, a biometric ID project that has raised concerns about data privacy and civil liberty in …
Cascading Crises: Society in the Age of Covid-19
The tsunami of change triggered by the COVID-19 pandemic has transformed society in a series of cascading crises. Unlike disasters that are more temporarily and spatially bounded, the pandemic has continued to expand across time and space for over a year, leaving an unusually broad range of second-order and third-order harms in its wake. Globally, the unusual conditions of the pandemic-unlike other crises-have impacted almost every facet of our l…
Reddit's Veil of Anonymity: Predictors of engagement and participation in media environments with hostile reputations
This research investigates how personality strength, news engagement, and news consumption influence engagement on Reddit, an environment that affords varying degrees of anonymity and is known to paradoxically host toxic and supportive communities. Using a survey of Redditors, findings suggest women are less likely to comment and post but are equally likely to vote and read posts as men, indicating there may be hesitation to engage in using more …
The journalists’ exodus: Navigating the transition from Twitter to Mastodon and other alternative platforms
This study examines how journalists are grappling with platform migration following Elon Musk’s acquisition of Twitterin October 2022. Using a mixed-method approach that combines computational analysis of the activities of 861 journalists on Twitter and Mastodon with qualitative interviews of 11 active journalists, this study aims to (1) examine the extent to which journalists have exhibited different forms of Twitter disengagement post-acquisiti…
Sharing Knowledge and 'Microbubbles: Epistemic Communities and Insularity in US Political Journalism
This article examines the peer-to-peer dynamics of Washington political journalists as Communities of Practice (CoPs) to better understand how journalists connect to and learn from each other and establish conventional knowledge. We employ inductive computational analysis that combines social network analysis of journalists' Twitter interactions with a qualitative, thematic analysis of journalists' work histories, organizational affiliations, and…
A Cross-National Study of Fear Appeal Messages in YouTube Trending Videos About Covid-19
The COVID-19 pandemic has underlined the need for investigating the prevalence and nature of health communication on social media. Applying the Extended Parallel Process Model, this study analyzes the use of fear appeals in 2,152 YouTube trending videos across six countries (the United States, Brazil, Russia, Taiwan, Canada, and New Zealand) from January to May 2020. The findings reveal that, during the early stage of the outbreak, COVID-19-theme…
Beyond dislike counts: How YouTube users react to the visibility of social cues
This study investigates the impact of YouTube’s 2021 policy, which hides dislike counts and limits a form of negative social feedback. It examines how this change affects social media herding behavior—the tendency of users to align with the majority opinion. We adopted a mixed-method approach, incorporating an online experiment that simulates the YouTube interface and an Interrupted Time Series analysis of real-world user reactions, to assess how…
Teaching Computational Social Science for All
Computational methods have become an integral part of political science research. However, helping students to acquire these new skills is challenging because programming proficiency is necessary, and most political science students have little coding experience. This article presents pedagogical strategies to make transitioning from Excel, SPSS, or Stata to R or Python for data analytics less challenging and more exciting. First, it discusses tw…
Exploring how online political quizzes boost interest in politics, political news, and political engagement
This study sought to understand whether people’s exposure to online quiz questions about politics could pique people’s interest in political news and politics. An online experiment (N = 585) showed support for a mediation model that demonstrated the psychological process by which taking an online political quiz could boost interest in political news and politics. Results showed that exposure to the quiz indirectly increased interest in politics a…
Reddit's Veil of Anonymity: Predictors of engagement and participation in media environments with hostile reputations
This research investigates how personality strength, news engagement, and news consumption influence engagement on Reddit, an environment that affords varying degrees of anonymity and is known to paradoxically host toxic and supportive communities. Using a survey of Redditors, findings suggest women are less likely to comment and post but are equally likely to vote and read posts as men, indicating there may be hesitation to engage in using more …
Exploring how online political quizzes boost interest in politics, political news, and political engagement
This study sought to understand whether people’s exposure to online quiz questions about politics could pique people’s interest in political news and politics. An online experiment (N = 585) showed support for a mediation model that demonstrated the psychological process by which taking an online political quiz could boost interest in political news and politics. Results showed that exposure to the quiz indirectly increased interest in politics a…
Still Unwilling to Pay: An Empirical Analysis of 50 U.S. Newspapers’ Digital Subscription Results
U.S. newspapers’ digital experiment has been going on for more than two decades, with Christensen’s disruptive technology thesis providing theoretical support for the industry’s digital transformation process. Most newspapers expanded their digital offerings, erecting paywalls since 2011. However, little is known about local newspapers’ paywall results. To extend media economics research on digital news consumption and to assess the influence and…
Re-examining the innovation post-adoption process: The case of Twitter discontinuance
Sharing Knowledge and 'Microbubbles: Epistemic Communities and Insularity in US Political Journalism
This article examines the peer-to-peer dynamics of Washington political journalists as Communities of Practice (CoPs) to better understand how journalists connect to and learn from each other and establish conventional knowledge. We employ inductive computational analysis that combines social network analysis of journalists' Twitter interactions with a qualitative, thematic analysis of journalists' work histories, organizational affiliations, and…
Cascading Crises: Society in the Age of Covid-19
The tsunami of change triggered by the COVID-19 pandemic has transformed society in a series of cascading crises. Unlike disasters that are more temporarily and spatially bounded, the pandemic has continued to expand across time and space for over a year, leaving an unusually broad range of second-order and third-order harms in its wake. Globally, the unusual conditions of the pandemic-unlike other crises-have impacted almost every facet of our l…
Using data visualizations to study digital public spaces
This article reviews the history and current data visualizations in studying digital public spaces. I will discuss the recent development of visualizing raw data numerically, relationally, spatially, and textually. Each method involves different visual representations to integrate data collection with analysis and presentation of results. Through a case study of global Web use, this article also demonstrates a thinking process and analytical work…
Teaching Computational Social Science for All
Computational methods have become an integral part of political science research. However, helping students to acquire these new skills is challenging because programming proficiency is necessary, and most political science students have little coding experience. This article presents pedagogical strategies to make transitioning from Excel, SPSS, or Stata to R or Python for data analytics less challenging and more exciting. First, it discusses tw…
Connective action or collective inertia? Emotion, cognition, and the limits of digitally networked resistance
Connective action, or individuals networking with each other online to form social movements, rarely leads to lasting change. In this study, we argue that such movements are ultimately ineffective because they struggle to sustain themselves over time and identify the reasons behind their transience. Our analysis focuses on Twitter conversations about Aadhaar, a biometric ID project that has raised concerns about data privacy and civil liberty in …
Twitter intermittent and permanent discontinuance: A multi-method approach to study innovation diffusion
The expression effects of uncivil disagreement: The mechanisms of cognitive dissonance and self-perception
Political incivility is pervasive and still on the rise. Although empirical studies have examined the effects of exposure to political incivility in different contexts, few have attempted to investigate the expression effects of incivility on its senders. This study proposes two mechanisms—cognitive dissonance and self-perception—to explain the expression effects of political incivility on anger, perceptions of incivility, and political participa…
Integrating Human Insights Into Text Analysis: Semi-Supervised Topic Modeling of Emerging Food-Technology Businesses’ Brand Communication on Social Media
Textual social media data have become indispensable to researchers’ understanding of message strategies and other marketing practices. In a new departure for the field of brand communication, this study adopts and extends a semi-supervised machine-learning approach, guided latent Dirichlet allocation (LDA), which incorporates human insights into the discovery and classification of topics. We used it to analyze tweets from businesses involved with…
Beyond dislike counts: How YouTube users react to the visibility of social cues
This study investigates the impact of YouTube’s 2021 policy, which hides dislike counts and limits a form of negative social feedback. It examines how this change affects social media herding behavior—the tendency of users to align with the majority opinion. We adopted a mixed-method approach, incorporating an online experiment that simulates the YouTube interface and an Interrupted Time Series analysis of real-world user reactions, to assess how…
The journalists’ exodus: Navigating the transition from Twitter to Mastodon and other alternative platforms
This study examines how journalists are grappling with platform migration following Elon Musk’s acquisition of Twitterin October 2022. Using a mixed-method approach that combines computational analysis of the activities of 861 journalists on Twitter and Mastodon with qualitative interviews of 11 active journalists, this study aims to (1) examine the extent to which journalists have exhibited different forms of Twitter disengagement post-acquisiti…
A Cross-National Study of Fear Appeal Messages in YouTube Trending Videos About Covid-19
The COVID-19 pandemic has underlined the need for investigating the prevalence and nature of health communication on social media. Applying the Extended Parallel Process Model, this study analyzes the use of fear appeals in 2,152 YouTube trending videos across six countries (the United States, Brazil, Russia, Taiwan, Canada, and New Zealand) from January to May 2020. The findings reveal that, during the early stage of the outbreak, COVID-19-theme…
Computer Science (11 works) · Psychology (10 works) · Sociology (9 works) · Social Psychology (8 works) · Political science (6 works) · World Wide Web (6 works) · Business (5 works) · Politics (5 works) · Social media (5 works) · Social Media and Politics (5 works)