Catherine Wang
Biographic Data
| ID | 6213155 |
|---|---|
| NAME | Catherine Wang |
| GIVEN NAMES | Catherine |
| FAMILY NAME | Wang |
| SIGNATURE | WANG C |
| AFFILIATIONS | University of Southern California |
| ORCID | 0000-0001-6883-4384 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Packaging Information as Fact Versus Opinion
How do we distinguish fact from opinion? We tested whether people’s ability to detect opinion-based content—as indicated by the use of subjective adjectives (e.g., amazing, frustrating)—depends on the linguistic position of the adjective. Our results show that simply changing the linguistic structure of a sentence influences our perception of the sentence’s subjectivity: The same basic information, packaged differently in linguistic terms, yields…
Experimenting with imposters
Imposters are grammatically third-person expressions used to refer to the firstpersonspeaker or second-person addressee (e.g. ‘the present authors’ when used to refer tothe first-person writer, ‘Mommy’ or ‘Daddy’ when used by parents for self-reference inchild-directed speech). Current analyses of imposters differ in whether they derive theunusual referential properties of imposters using syntactic means or attribute them tosemantic and pragmatic…
The Revised Naturalization Exam and Chinese Immigrants in the United States
In 2008, the United States government increased the importance of standardized English in the naturalization process. Using semistructured interviews, surveys, and participant observation data, this article explores language barriers to naturalization through a Chinese immigrant community in Southern California. As part of the nation’s fastest-growing racial group in the United States, Chinese immigrants are a significant piece of the immigration…
Packaging Information as Fact Versus Opinion
How do we distinguish fact from opinion? We tested whether people’s ability to detect opinion-based content—as indicated by the use of subjective adjectives (e.g., amazing, frustrating)—depends on the linguistic position of the adjective. Our results show that simply changing the linguistic structure of a sentence influences our perception of the sentence’s subjectivity: The same basic information, packaged differently in linguistic terms, yields…
The Revised Naturalization Exam and Chinese Immigrants in the United States
In 2008, the United States government increased the importance of standardized English in the naturalization process. Using semistructured interviews, surveys, and participant observation data, this article explores language barriers to naturalization through a Chinese immigrant community in Southern California. As part of the nation’s fastest-growing racial group in the United States, Chinese immigrants are a significant piece of the immigration…
Experimenting with imposters
Imposters are grammatically third-person expressions used to refer to the firstpersonspeaker or second-person addressee (e.g. ‘the present authors’ when used to refer tothe first-person writer, ‘Mommy’ or ‘Daddy’ when used by parents for self-reference inchild-directed speech). Current analyses of imposters differ in whether they derive theunusual referential properties of imposters using syntactic means or attribute them tosemantic and pragmatic…
Packaging Information as Fact Versus Opinion
How do we distinguish fact from opinion? We tested whether people’s ability to detect opinion-based content—as indicated by the use of subjective adjectives (e.g., amazing, frustrating)—depends on the linguistic position of the adjective. Our results show that simply changing the linguistic structure of a sentence influences our perception of the sentence’s subjectivity: The same basic information, packaged differently in linguistic terms, yields…
Computer Science (3 works) · Psychology (3 works) · Linguistics (2 works) · Philosophy (2 works) · Adjective (1 works) · Advanced Text Analysis Techniques (1 works) · Agreement (1 works) · Artificial Intelligence (1 works) · Citizenship (1 works) · Cognition (1 works)