Junming Huang
Biographic Data
| ID | 3675598 |
|---|---|
| NAME | Junming Huang |
| GIVEN NAMES | Junming |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG J |
| AFFILIATIONS | Princeton University |
| ORCID | 0000-0002-2532-4090 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Natural language processing for social science research
Text data has been a longstanding pivotal source for social science research, providing an informative lens across disciplines including sociology, psychology, and political science. Its salient role in research, combined with the difficulty in numerically digesting unstructured data in natural languages, has been inspiring growing demands for natural language processing techniques to extract meaningful insights from vast text data. Breakthrough …
AI's dual impact
Trend Analysis with Pooled Data from Different Survey Series
The use of pooled data from different repeated survey series to study long-term trends is handicapped by a measurement difficulty: different survey series often use different scales to measure the same attitude and thus generate scale-incomparable data. In this article, the authors propose the latent attitude method (LAM) to address this scale-incomparability problem, on the basis of the assumption that attitudes measured by ordinal categories re…
How Covid-19 has Impacted American Attitudes Toward China
Large-scale quantitative evidence of media impact on public opinion toward China
Do mass media influence people’s opinions of other countries? Using BERT, a deep neural network-based natural language processing model, this study analyzes a large corpus of 267,907 China-related articles published by The New York Times since 1970. The output from The New York Times is then compared to a longitudinal data set constructed from 101 cross-sectional surveys of the American public’s views on China, revealing that the reporting of The…
The dominance of big teams in China’s scientific output
Modern science is dominated by scientific productions from teams. A recent finding shows that teams of both large and small sizes are essential in research, prompting us to analyze the extent to which a country’s scientific work is carried out by big or small teams. Here, using over 26 million publications from Web of Science, we find that China’s research output is more dominated by big teams than the rest of the world, which is particularly the…
Between reality and perception
There are many conflicting theories about the relationship between media reports and public opinion, but few of them are supported by empirical work on large data sets. We use sentiment results on over 260,000 China-related articles in The New York Times to show that events in international relations affect media sentiment which, in turn, affects public opinion. We find that sudden shifts in US-China relations are accompanied by changes in how Th…
Large-scale quantitative evidence of media impact on public opinion toward China
Do mass media influence people’s opinions of other countries? Using BERT, a deep neural network-based natural language processing model, this study analyzes a large corpus of 267,907 China-related articles published by The New York Times since 1970. The output from The New York Times is then compared to a longitudinal data set constructed from 101 cross-sectional surveys of the American public’s views on China, revealing that the reporting of The…
The dominance of big teams in China’s scientific output
Modern science is dominated by scientific productions from teams. A recent finding shows that teams of both large and small sizes are essential in research, prompting us to analyze the extent to which a country’s scientific work is carried out by big or small teams. Here, using over 26 million publications from Web of Science, we find that China’s research output is more dominated by big teams than the rest of the world, which is particularly the…
Between reality and perception
There are many conflicting theories about the relationship between media reports and public opinion, but few of them are supported by empirical work on large data sets. We use sentiment results on over 260,000 China-related articles in The New York Times to show that events in international relations affect media sentiment which, in turn, affects public opinion. We find that sudden shifts in US-China relations are accompanied by changes in how Th…
Trend Analysis with Pooled Data from Different Survey Series
The use of pooled data from different repeated survey series to study long-term trends is handicapped by a measurement difficulty: different survey series often use different scales to measure the same attitude and thus generate scale-incomparable data. In this article, the authors propose the latent attitude method (LAM) to address this scale-incomparability problem, on the basis of the assumption that attitudes measured by ordinal categories re…
How Covid-19 has Impacted American Attitudes Toward China
Natural language processing for social science research
Text data has been a longstanding pivotal source for social science research, providing an informative lens across disciplines including sociology, psychology, and political science. Its salient role in research, combined with the difficulty in numerically digesting unstructured data in natural languages, has been inspiring growing demands for natural language processing techniques to extract meaningful insights from vast text data. Breakthrough …
AI's dual impact
Sociology (6 works) · Political science (5 works) · China (4 works) · Computer Science (3 works) · Law (3 works) · Media studies (3 works) · Electoral Systems and Political Participation (2 works) · Geography (2 works) · Mass media (2 works) · Media coverage (2 works)