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Anfan CHEN, Dr
Research Assistant Professor
,
Department of Communication Studies
https://orcid.org/0000-0002-9354-6867
Email
anfanchen
hkbu.edu
hk
2023
2024
Research activity per year
Overview
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Research Output
(18)
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(5)
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Dive into the research topics where Anfan CHEN is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
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Keyphrases
Anti-immigrant Attitudes
18%
Anticipated Negative Emotions
18%
Artificial Intelligence
18%
China
81%
Chinese Scientists
27%
Chinese Social Media
20%
Cognitive Ability
18%
Collective Empowerment
18%
Conditional Effects
18%
Connectives
18%
Conspiracy
25%
Conversational Artificial Intelligence
18%
Coronavirus Impact
18%
Correction Process
18%
COVID-19
34%
COVID-19 Conspiracy Theories
36%
COVID-19 Pandemic
26%
Government Social Media
18%
Immigrants
18%
Mediated Participation
18%
Mental Health
18%
Message Characteristics
27%
Misinformation
67%
Misinformation Correction
36%
Mixed Methods Analysis
18%
Moral Norms
18%
National Identity
18%
Nationalism
18%
Negative Word-of-mouth
18%
Norm Activation Model
20%
Online Firestorms
18%
Online Misinformation
23%
Perceived Consequences
18%
Perception Ability
18%
Personal Norms
29%
Political Beliefs
18%
Public Discourse
36%
Public Engagement
27%
Public Outreach
36%
Public Perception
18%
Role of Social Media
18%
Social Media
100%
Social Media Data
18%
Social Media Use
64%
Social Norms
22%
Social Reward
18%
Subjective Well-being
18%
Threat Perception
18%
Vaccination Promotion
18%
Weibo
22%
Computer Science
Adverse Impact
18%
Artificial Intelligence
36%
Attitude Formation
6%
Authoritative Source
9%
Comprehensive Examination
19%
Computational Method
10%
Conversational Agent
18%
Cultural Analysis
18%
Cumulative Number
9%
Difference Approach
18%
Digital Platform
6%
Economic Status
18%
Facebook
6%
Functional Role
9%
Identity Model
12%
Immigrant Prejudice
18%
Individual Level
7%
Information Network
18%
Longitudinal Data
9%
Mediation Model
18%
Mental Health Problem
18%
Microblogs
18%
Misinformation
55%
Negative Comment
9%
Negative Emotion
18%
Negative Experience
18%
Public Discourse
25%
Public Engagement
36%
Public Perception
18%
Related Factor
18%
Social Medium Data
18%
Social Medium Platform
15%
Social Medium User
12%
Underlying Mechanism
21%
Western Context
6%
