Z Zhou
Biographic Data
| ID | 28782 |
|---|---|
| NAME | Z Zhou |
| GIVEN NAMES | Z |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU Z |
| AFFILIATIONS | Beihang University |
| ORCID | 0000-0002-8442-4235 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1983 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Political polarization of news media and influencers on Twitter in the 2016 and 2020 US presidential elections
Social media has been transforming political communication dynamics for over a decade. Here using nearly a billion tweets, we analyse the change in Twitter's news media landscape between the 2016 and 2020 US presidential elections. Using political bias and fact-checking tools, we measure the volume of politically biased content and the number of users propagating such information. We then identify influencers-users with the greatest ability to sp…
Predicting Intrinsic and Extrinsic Goal Contents Pursuit on Social Media
Goal contents pursuit reflects the motivational personality and can be an excellent indicator to predict individuals' life satisfaction and daily behaviors. However, due to the expense and subjective bias of questionnaires, it is challenging to obtain individual data and explore the effects of goal contents pursuit in conventional studies. Social media provides individuals with a communication context that can be used as a proxy to infer personal…
Homophily of music listening in online social networks of China
AAPA Presentation Schedule
The history of infectious disease in humans (and to a lesser extent other primates) has been studied from different perspectives including those of bioarchaeology, medical history, and evolutionary genetics. Technical advances in nucleotide sequencing as well as in the ability to obtain genetic material from difficult sources (such as feces and ancient materials) have enhanced our ability to examine both ancient pathogens and pathogens that are d…
Thermoluminescence Dating of Chinese Pottery
Political polarization of news media and influencers on Twitter in the 2016 and 2020 US presidential elections
Social media has been transforming political communication dynamics for over a decade. Here using nearly a billion tweets, we analyse the change in Twitter's news media landscape between the 2016 and 2020 US presidential elections. Using political bias and fact-checking tools, we measure the volume of politically biased content and the number of users propagating such information. We then identify influencers-users with the greatest ability to sp…
Thermoluminescence Dating of Chinese Pottery
AAPA Presentation Schedule
The history of infectious disease in humans (and to a lesser extent other primates) has been studied from different perspectives including those of bioarchaeology, medical history, and evolutionary genetics. Technical advances in nucleotide sequencing as well as in the ability to obtain genetic material from difficult sources (such as feces and ancient materials) have enhanced our ability to examine both ancient pathogens and pathogens that are d…
Homophily of music listening in online social networks of China
Predicting Intrinsic and Extrinsic Goal Contents Pursuit on Social Media
Goal contents pursuit reflects the motivational personality and can be an excellent indicator to predict individuals' life satisfaction and daily behaviors. However, due to the expense and subjective bias of questionnaires, it is challenging to obtain individual data and explore the effects of goal contents pursuit in conventional studies. Social media provides individuals with a communication context that can be used as a proxy to infer personal…
Political polarization of news media and influencers on Twitter in the 2016 and 2020 US presidential elections
Social media has been transforming political communication dynamics for over a decade. Here using nearly a billion tweets, we analyse the change in Twitter's news media landscape between the 2016 and 2020 US presidential elections. Using political bias and fact-checking tools, we measure the volume of politically biased content and the number of users propagating such information. We then identify influencers-users with the greatest ability to sp…
Computer Science (4 works) · Social media (3 works) · Artificial Intelligence (2 works) · Citation (2 works) · Impact of Technology on Adolescents (2 works) · Library science (2 works) · Psychology (2 works) · Social Media and Politics (2 works) · Social Psychology (2 works) · World Wide Web (2 works)