Tai-Quan Peng

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Michigan State University | MSU · Department of Communication

The public agenda is an ecosystem in which public issues interact and compete to gain public attention. Whether this ecosystem is primarily competitive or cooperative is an unsettled question in the literature on agenda-setting. This study employs an ecological approach to explicate interissue relationships. It quantifies the nature and evolution o...

Large language models (LLMs) can be used to estimate human attitudes and behavior, including measures of public opinion, a concept referred to as algorithmic fidelity. This study assesses the algorithmic fidelity and bias of LLMs in estimating public opinion about global warming. LLMs were conditioned on demographics and/or psychological covariates...

Large Language Models (LLMs) have been widely used to generate responses on social topics due to their world knowledge and generative capabilities. Beyond reasoning and generation performance, political bias is an essential issue that warrants attention. Political bias, as a universal phenomenon in human society, may be transferred to LLMs and dist...

Large language models (LLMs) are employed to simulate human-like responses in social surveys, yet it remains unclear if they develop biases like social desirability response (SDR) bias. To investigate this, GPT-4 was assigned personas from four societies, using data from the 2022 Gallup World Poll. These synthetic samples were then prompted with or...

Propagation analysis refers to studying how information spreads on social media, a pivotal endeavor for understanding social sentiment and public opinions. Numerous studies contribute to visualizing information spread, but few have considered the implicit and complex diffusion patterns among multiple platforms. To bridge the gap, we summarize cross...

Primary emotions among populace about global health crisis such as the COVID-19 pandemic are informative. Guided by appraisal theories of emotions, this study explored emotional segmentations by mapping the primary emotions about the COVID-19 and investigating the impact of the emotions on cognitive and behavioral outcomes including risk perception...

Despite the increasing prevalence of Internet connectivity, a significant portion of the population in developing and underdeveloped countries still lacks access to the web. This raises questions about whether there are distinct national disparities in the relationship between Internet access and civic engagement. To address this question, this stu...

As individuals make belief decisions on truths and falsehoods, a systematic organization of (mis)information emerges. In this study, we employ a network approach to illustrate how a sample of Americans share a cognitive network of false and true statements related to COVID-19. Moreover, we examine what factors are associated with the formation of m...

Racial unrest has long been a salient social issue in the United States. Time and space provide essential contexts for the emergence and evolution of racial unrest. However, the relationships between these contextual factors and public responses to racial unrest remain insucciently explored. This study seeks to fill that gap, blending geocoded, tim...

To reduce the impact of communicable diseases like COVID-19, collective action is required and likely to be susceptible to normative influence as well as whether people are more or less collectively oriented. We extend the theory of normative social behavior (TNSB) to account for group orientation and predict the relationships between social norms...

Large language models (LLMs) have demonstrated their potential in social science research by emulating human perceptions and behaviors, a concept referred to as algorithmic fidelity. This study assesses the algorithmic fidelity and bias of LLMs by utilizing two nationally representative climate change surveys. The LLMs were conditioned on demograph...

In recent decades, significant transformations in audience characteristics and the media environment have necessitated a reassessment of audience analysis. Communication scholars have increasingly recognized the value of utilizing digital traces as valuable resources to understand audience behaviors. This research presents a comprehensive review of...

Fifteen to 20 years is how long it takes for the billions of dollars of health-related research to translate into evidence-based policies and programs suitable for public use. Over the past two decades, an exciting science has emerged that seeks to narrow the gap between the discovery of new knowledge and its application in public health, mental he...

The current high-choice media environment is characterized by increasingly intense competition for audience resources among media products. Drawing on research in organizational ecology and communication, audience behavior, and media economics, this study provides an ecological explanation for audience size in the digital media system. The analysis...

This study examined the #MeToo movement with an analysis of user comments on Twitter. The study tested an integrated framework of theories and constructs, including social identity, social judgment, and social support as well as race and gender. Findings suggest that social judgment differed between users with separate social identity. Specifically...

Timestamps in digital traces include significant detailed information on when human behaviors occur, which is universally available and standardized in all types of digital traces. Nevertheless, the concept of time is under-explicated in empirical studies of online behaviors. This paper discusses the (un)desirable properties of timestamps in digita...

The production and consumption of online news are usually under a bursty temporal pattern. However, little is known about the psychological and cognitive impacts of such bursty consumption of online news. The study employs a 2 (filled-interval length) × 2 (empty-interval length) × 2 (empty-interval burstiness) mixed design experiment to examine how...

Studying Information and Communications Technology (ICT) development is increasingly difficult because most advanced countries converge to similar network structures. However, developing countries still manifest meaningful variance in ICT development, affording theoretical elaboration on the nature of societal ICT processes. We examine the relation...

This study examined how the knowledge market promotes knowledge construction on question-and-answer (Q&A) websites. Data were collected from Zhihu, one of the largest Q&A sites in China. Hierarchical linear modeling was employed to estimate the dynamics of information accumulation, that is, the provision of informative content as factual constructi...

Despite the popularity and efficiency of dictionary-based sentiment analysis (DSA) for public health research, limited empirical evidence has been produced about the validity of DSA and potential harms to the validity of DSA. A random sample of a second-hand Ebola tweet dataset was used to evaluate the validity of DSA compared to the manual coding...

Social norms theories have guided social science research by predicting how and when social norms influence people’s behavior. However, there are still gaps in our understanding of how social norms are formed, maintained, and changed. It is possible that our own actions shape and perpetuate what we believe is normal. This study tests whether behavi...

This article examines citizens' use of the Internet as a popular feedback mechanism, and argues that it can help improve institutional performance. Specifically, it assesses the relationship between Internet penetration rate and public service delivery across 31 first-level administrative divisions in People's Republic of China from 1997 to 2014. A...

How to achieve academic career success has been a long-standing research question in social science research. With the growing availability of large-scale well-documented academic profiles and career trajectories, scholarly interest in career success has been reinvigorated, which has emerged to be an active research domain called the Science of Sci...

How to achieve academic career success has been a long-standing research question in social science research. With the growing availability of large-scale well-documented academic profiles and career trajectories, scholarly interest in career success has been reinvigorated, which has emerged to be an active research domain called the Science of Sci...

In the United States, federal and local governments have attempted to contain the spread of Coronavirus Disease 2019 (COVID-19) by implementing a variety of policies such as stay-at-home orders and mask mandates. Perceptions can influence behaviors; therefore, it is important to understand how people perceive the stringency of COVID-19 policies, wh...

Big data analysis has the potential to advance theories and methods in social science. The power of big data does not only come from its large volume but also from its capacity to carry rich dimensions of information for statistical analysis. In this entry the temporal, semantic, and structural information embedded in big data is discussed, and the...

News consumption is deeply and widely situated in families. Employing role theory as theoretical framework, this study argues that users’ familial role would influence their mobile news consumption behavior through shaping their personal news interests and regulating their time budget of news viewing. We extracted data from the server log of the So...

Ordinary users fill some intervals on the time continuum by engaging in an online behavior and leave other intervals empty by disengaging from the behavior. Existing time-based measurements of online behaviors exclusively focus on characterizing filled time intervals and completely ignore the information embedded in empty time intervals. Empty time...

Background: Social media has substantially changed how people confront health issues. However, a comprehensive understanding of how social media has altered the foci and methods in public health research remains lacking. Objective: This study aims to examine research themes, the role of social media, and research methods in social media–based publ...

Mobile phone use is an unfolding process by nature. In this study, it is explicated as two sequential processes: mobile sessions composed of an uninterrupted set of behaviors and mobile trajectories composed of mobile sessions and mobile-off time. A data set of a five-month behavioral logfile of mobile application use by approximately 2,500 users i...

A new model, called "Human Dynamics", has been recently proposed that individuals execute activities based on a perceived priority of tasks, which can be characterized by a power-law distribution of waiting time between consecutive tasks (Barabasi, 2005). This power-law distribution has been found to exist in diverse human behaviors, such as mail c...

Mobile phone use is an unfolding process by nature. In this study, it is explicated as two sequential processes: mobile sessions composed of an uninterrupted set of behaviors and mobile trajectories composed of mobile sessions and mobile-off time. A dataset of a five-month behavioral logfile of mobile application use by approximately 2,500 users in...

This article reviews the opportunities and challenges for computational research methods in the field of communication. Among the social sciences, communication stands out as a discipline with a relatively low-profile institutionalized focus on the in-house development of methods. Computational tools are changing this, and they are catalyzing a new...

With the rapid development of massively multiplayer online role-playing games (MMORPGs), a huge amount of fine-grained data on the in-game activities of players have been recorded by MMORPGs operators. These data provide considerable opportunities with which to study the dynamic interplay between player behaviors and investigate the roles of variou...

Computational social science has caused a shift of research paradigm in social science in general and communication in particular. The special issue brings together a community of active researchers to introduce computational social science for Asia-Pacific communication research. The special issue outlines major computational methods closely relat...

To elucidate the Chinese public's awareness of cancer and its possible prevention, we investigated cancer-prevention messages presented on Weibo, a Twitter-like Chinese social media platform, with reference to the extended parallel process model (EPPM) and attribution theory. With a sample of 16,654 cancer-related messages, we analyzed whether the...

In this article, we hypothesize, and then demonstrate, that experiences of embarrassment have significantly increased in the United States, due in part, to the current situation in American politics under President Donald Trump. We provide support for our hypothesis by conducting both qualitative and quantitative analyses of Twitter posts in the U....

Live social media commentary increasingly accompanies televised political debates. This study examines the democratic role of live Twitter commentary by analyzing a sample of tweets published during the first 2016 presidential debate between Trump and Clinton. The practices of live commenters – including joke-sharing and fact-checking – are assesse...

BACKGROUND Health apps on mobile devices provide an unprecedented opportunity for ordinary people to develop social connections revolving around health issues. With increasing penetration of mobile devices and well-recorded behavioral data on such devices, it is desirable to employ digital traces on mobile devices, rather than self-reported measure...

Background: Health apps on mobile devices provide an unprecedented opportunity for ordinary people to develop social connections revolving around health issues. With increasing penetration of mobile devices and well-recorded behavioral data on such devices, it is desirable to employ digital traces on mobile devices rather than self-reported measur...

Recently, social media has become a potentially new way for scholarly journals to disseminate and evaluate research outputs. Scholarly journals have started promoting their research articles to a wide range of audiences via social media platforms. This paper aims to investigate the social media presence of scholarly journals across disciplines. We...

Although critical in practice, as well as prevalent, limited effort has gone into understanding the driving factors behind the diffusion of cancer information on social media. This study seeks to comprehensively examine both the content and sender factors that determine cancer information diffusion. Specifically, a multidimensional measure is propo...

Background: Over the last two decades, the incidence and mortality rates of gynecologic cancers have increased at a constant rate in China. Gynecologic cancers have become one of the most serious threats to women's health in China. With the widespread use of social media, an increasing number of individuals have employed social media to produce, s...

This article examines citizens' use of the Internet as a popular feedback mechanism, and argues that it can help improve institutional performance. Specifically, it assesses the relationship between Internet penetration rate and public service delivery across 31 first-level administrative divisions in People's Republic of China from 1997 to 2014. A...

The recent increase in digitally available data, tools, and processing power is fostering the use of computational methods to the study of communication. This special issue discusses the validity of using big data in communication science and showcases a number of new methods and applications in the fields of text and network analysis. Computationa...

Rapid advancement of social media tremendously facilitates and accelerates the information diffusion among users around the world. How and to what extent will the information on social media achieve widespread diffusion across the world? How can we quantify the interaction between users from different geolocations in the diffusion process? How will...

A worldwide science of dissemination and implementation (D&I) has emerged, driven by new media, the interests of philanthropies and the needs of government agencies, and the persistent and growing applied problems that have been addressed but not solved by the dominant research paradigms in disciplines such as psychology, sociology, and political s...

Research on mobile phone use often starts with a question of "How much time users spend on using their phones?". The question involves an equal-length measure that captures the duration of mobile phone use but does not tackle the other temporal characteristics of user behavior, such as frequency, timing, and sequence. In the study, we proposed a va...

Within the last year, expressions of second-hand embarrassment on Twitter significantly increased. We show how this relates to the current situation in U.S. politics under Trump and provide two explanations for why people feel this way in response to his actions. First, compared to former politicians, Trump’s norm violations seem intentional. Secon...

This study uses a longitudinal dataset extracted from a mobile news application and adopts a multilevel design to examine the evolution of diversity of individuals’ news consumption and to identify the factors that underlie such evolution. A decreasing trend in news consumption diversity is observed among users. The news consumption diversity of in...

Purpose Massively multiplayer online role-playing games (MMORPGs) create quasi-real social systems in which players can interact with one another, and quasi-real economic systems where players can consume and trade in-game items with virtual currency. The in-game currency price, an important indicator of a virtual economy, is highly contingent on p...

This study investigated the driving mechanism of building interaction ties among the people living with HIV/AIDS in one of the largest virtual HIV communities in China using social network analysis. Specifically, we explained the probability of forming interaction ties with homophily and popularity characteristics. The exponential random graph mode...

This study aims to elucidate the intricate interplay between public attention and public emotion toward multiple social issues. A theoretical framework is developed based on three perspectives including endogenous affect hypothesis, affect transfer hypothesis, and affective intelligence theory. Large-scale longitudinal data with 265 million tweets...

List of Keywords on Five Issues. (DOCX)

Bivariate Granger-Causality Test Results. (DOCX)

This chapter describes the evolution of diffusion of innovations theory, and how concepts from that paradigm as well as knowledge utilization and technology transfer research have contributed to the evidence-based medicine and evidence-based public health emphases in dissemination and implementation. It covers methods of studying how new innovation...

The digital traces of U.S. members of congress on Twitter enable researchers to observe how these public officials interact with one another in a direct and unobtrusive manner. Using data from Twitter and other sources (e.g., roll-call vote data), this study aims to examine how members of congress connect and communicate with one another on Twitter...

A network perspective was adopted in this study to identify influential users in an online HIV community in China. Specifically, the indegree centrality, outdegree centrality, betweenness centrality, eigenvector centrality, and clustering coefficient of individuals were evaluated to measure the user influence in such a community. Moreover, this stu...

Purpose – Queries as a pioneering measure of public attention on various social issues have elicited considerable scholarly attention. The purpose of this paper is to address two fundamental questions, as follows: first, how do we identify niche queries that internet users search for on specific social issues?; and second, what are the measurement...

Purpose – The purpose of this paper is to present an empirical assessment of the diffusion of advertising messages on microblogging sites. The diffusion properties of advertising messages are quantified based on the following three aspects: diffusion breadth, depth, and speed. Furthermore, this study examines the influence of message- and advertise...

Purpose – The purpose of this paper is to present an empirical assessment of the diffusion of advertising messages on microblogging sites. The diffusion properties of advertising messages are quantified based on the following three aspects: diffusion breadth, depth, and speed. Furthermore, this study examines the influence of message- and advertise...

Cooperation and competition (jointly called “coopetition”) are two modes of interactions among a set of concurrent topics on social media. How do topics cooperate or compete with each other to gain public attention? Which topics tend to cooperate or compete with one another? Who plays the key role in coopetition-related interactions? We answer thes...

How do various topics compete for public attention when they are spreading on social media? What roles do opinion leaders play in the rise and fall of competitiveness of various topics? In this study, we propose an expanded topic competition model to characterize the competition for public attention on multiple topics promoted by various opinion le...

The study aims to assess journals’ structural influence in Internet research and uncover the impacts of network structures on journals’ structural influence drawing on theories of network closure and structural holes. The data of the study are the citation exchanges among 1,210 journals in Communication and other seven social scientific fields (i.e...

What does ‘Internet studies’ entail as a field of social science research? We aim to answer the question by mapping research themes, theorization, and methodology of Internet studies based on 27,000+ articles published in Social Sciences Citation Index and Arts & Humanities Citation Index journals over the last 10 years. In analyzing the articles,...

This study explores the factors influencing citations to Internet studies by assessing the relative explanatory power of three perspectives: normative theory, the social constructivist approach, and a natural growth mechanism. Using data on 7,700+ articles of Internet studies published in 100+ Social Sciences Citation Index (SSCI)-listed journals i...

This study examines the influence of internet adoption and internet usage on sociability and use of traditional media. With empirical data collected in Hong Kong between 2003 and 2005, it confirms that adoption and usage are two distinct processes, with different social impacts. It is found that, on average, internet users spend significantly less...

The measurement of Internet use in empirical studies has undergone a progression from uni-item measurement to multi-item measurement. Based on several operationalizations of Internet use in existing studies, the paper proposes a reflective measurement model, called ‘sophistication of Internet usage’ (SIU), with five indicators (online time, online...