A5031082206- Social Media and Politics
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Misinformation and Its Impacts
- Digital Marketing and Social Media
- Impact of Technology on Adolescents
- Data Visualization and Analytics
- Climate Change Communication and Perception
- Behavioral Health and Interventions
- Computational and Text Analysis Methods
- Social Media in Health Education
- scientometrics and bibliometrics research
- Media Influence and Politics
- Human Mobility and Location-Based Analysis
- Media Studies and Communication
- Social and Intergroup Psychology
- Health Literacy and Information Accessibility
- Media Influence and Health
- China's Socioeconomic Reforms and Governance
- Digital Games and Media
- Mobile Health and mHealth Applications
- Technology Adoption and User Behaviour
- Green IT and Sustainability
- E-Government and Public Services
- Risk Perception and Management
Michigan State University
2016-2025
Michigan United
2017-2024
Jiangxi University of Finance and Economics
2023
North China University of Technology
2023
Macau University of Science and Technology
2010-2021
University of California, Los Angeles
2017
Nanyang Technological University
2013-2016
City University of Hong Kong
2008
Australian National University
1976
The University of Queensland
1976
The recent increase in digitally available data, tools, and processing power is fostering the use of computational methods to study communication. This special issue discusses validity using big data communication science showcases a number new applications fields text network analysis. Computational have potential greatly enhance scientific because they allow us move towards collaborative large-N studies actual behavior its social context. requires develop skills infrastructure meet...
How do various topics compete for public attention when they are spreading on social media? What roles opinion leaders play in the rise and fall of competitiveness topics? In this study, we propose an expanded topic competition model to characterize multiple promoted by media. To allow intuitive understanding estimated measures, present a timeline visualization through metaphoric interpretation results. The visual design features both topical aspects information diffusion process compositing...
Background Over the last two decades, incidence and mortality rates of gynecologic cancers have increased at a constant rate in China. Gynecologic become one most serious threats to women’s health With widespread use social media, an increasing number individuals employed media produce, seek, share cancer-related information. However, information on is not always accurate. Health, especially cancer-related, misinformation has been widely spread which can affect individuals’ attitudinal...
Cooperation and competition (jointly called "coopetition") are two modes of interactions among a set concurrent topics on social media. How do cooperate or compete with each other to gain public attention? Which tend one another? Who plays the key role in coopetition-related interactions? We answer these intricate questions by proposing visual analytics system that facilitates in-depth analysis topic coopetition model complex as combination carry-over, recruitment, distraction effects. This...
In an era of pervasive misinformation, equipping citizens to counter its spread is increasingly critical. This study examines news authentication—individuals’ proactive verification news—as a key indicator resilience misinformation. Guided by the theory planned behavior and model, we examine how individual characteristics structural contexts interact influence authentication. To do so, adopt multilevel comparative approach, analyzing authentication in three distinct societies: Hong Kong,...
The use of sunlight to drive organic reactions constitutes a green and sustainable strategy for synthesis. Herein, we discovered that the earth-abundant aluminum oxide (Al2O3) though paradigmatically known be an insulator could induce immense increase in selective photo-oxidation different benzyl alcohols presence large variety dyes O2. This unique phenomenon is based on surface complexation alcohol (BnOH) with Brønsted base sites Al2O3, which reduces its oxidation potential causes upshift...
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 Internet studies based on 27,000+ articles published in Social Sciences Citation Index Arts & Humanities journals over last 10 years. In analyzing articles, we adopt ‘bottom-up’ approach – classifying keywords without any priori categorization identify boundaries, major divisions, basic elements talis qualis. The strategy...
Purpose – The purpose of this paper is to present an empirical assessment the diffusion advertising messages on microblogging sites. properties are quantified based following three aspects: breadth, depth, and speed. Furthermore, study examines influence message- advertiser-level factors messages. Design/methodology/approach data comprises 20,000 that randomly drawn from a popular web site in China. Five message-level four constructed information retrieved site. Generalized linear modeling...
This study attempts to advancing content analysis methodology from consensus-oriented coordination-oriented practices, thereby embracing diverse coding outputs and exploring the dynamics among differential perspectives. As an exploratory investigation of this approach, we evaluate six GPT-4o configurations analyze sentiment in Fox News MSNBC transcripts on Biden Trump during 2020 U.S. presidential campaign, examining patterns across these models. By assessing each model's alignment with...
Computational communication research (CCR) has emerged as an early and active subfield within computational social science, offering novel methodological approaches to address classical emerging questions in research. This paper reviews the evolution developments CCR both international community Chinese mainland, emphasizing role of methods such user analytics, content mining, experiments. We map alignment between traditional quantitative ones, demonstrating how have complemented enhanced...
Interfacial solar-driven evaporation technology has received widespread attention. However, there are challenges in achieving efficient photothermal conversion and low cost the practical application. Biomass materials derived from renewable...
The digital traces of U.S. members congress on Twitter enable researchers to observe how these public officials interact with one another in a direct and unobtrusive manner. Using data from other sources (e.g., roll-call vote data), this study aims examine connect communicate Twitter, why they will such way, what effects connection communication among have their floor behavior. follower-followee networks demonstrate high degree partisan homogeneity. Members prefer follow or who are similar...
This study explores the factors influencing citations to Internet studies by assessing relative explanatory power of three perspectives: normative theory, social constructivist approach, and a natural growth mechanism. Using data on 7,700+ articles published in 100+ S ocial ciences C itation I ndex ( SSCI )‐listed journals 2000–2009, adopted multilevel model disentangle impact between article‐ journal‐level citations. research strategy resulted number both expected surprising findings. The...
Large language models (LLMs) can be used to estimate human attitudes and behavior, including measures of public opinion, a concept referred as algorithmic fidelity. This study assesses the fidelity bias LLMs in estimating opinion about global warming. were conditioned on demographics and/or psychological covariates simulate survey responses. Findings indicate that effectively reproduce presidential voting behaviors but not warming opinions unless issue relevant are included. When both...
Recently, social media has become a potentially new way for scholarly journals to disseminate and evaluate research outputs. Scholarly have started promoting their articles wide range of audiences via platforms. This article aims investigate the presence across disciplines. We extracted from Web Science searched these on Facebook Twitter. Relevant metrics content relating journals' accounts were also crawled data analysis. From our results, lies between 7.1% 14.2% disciplines; it shown...
Live social media commentary increasingly accompanies televised political debates. This study examines the democratic role of live Twitter by analyzing a sample tweets published during first 2016 presidential debate between Trump and Clinton. The practices commenters – including joke-sharing fact-checking are assessed in light six perspectives on utility such commentary. Results show that while was predominantly humorous driven negativity towards candidates, sizeable proportion users...
Tracking how correlated ideas flow within and across multiple social groups facilitates the understanding of transfer information, opinions, thoughts on media. In this paper, we present IdeaFlow, a visual analytics system for analyzing lead-lag changes pre-defined regarding specific set ideas, each which is described by words. To model idea flows accurately, develop random-walk-based correlation integrate it with Bayesian conditional cointegration tensor-based technique. convey complex...
Purpose – Queries as a pioneering measure of public attention on various social issues have elicited considerable scholarly attention. The purpose this paper is to address two fundamental questions, follows: first, how do we identify niche queries that internet users search for specific issues?; and second, what are the measurement properties data in gauging issues? Design/methodology/approach present study uses environmental USA empirical setting research. An iterative framework developed...
In this article, we hypothesize, and then demonstrate, that experiences of embarrassment have significantly increased in the United States, due part, to current situation American politics under President Donald Trump. We provide support for our hypothesis by conducting both qualitative quantitative analyses Twitter posts U.S. obtained from Crimson Hexagon database. Next, based on literature social psychology, neuroscience political theory, propose a two-step process explaining why Trump’s...