BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.32.0//EN
X-ORIGINAL-URL:https://www.yorku.ca/research/ycar/
X-WR-CALNAME:York Centre for Asian Research
X-WR-CALDESC:Asian Hub for York University
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T030000
RRULE:FREQ=YEARLY;BYMONTH=03;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T010000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-88115bc763427b1dcfa06190a8eb1341@yorku.ca
DTSTART;TZID=America/Toronto:20240209T130000
DTEND;TZID=America/Toronto:20240209T150000
DTSTAMP:20240207T214806Z
CREATED:20240207
LAST-MODIFIED:20240207
PRIORITY:5
SEQUENCE:0
TRANSP:OPAQUE
SUMMARY:Sinophobia on Western Social Media During Early COVID-19
DESCRIPTION:\nWith Yongjun Zhang, Stony Brook University\nDiscussant: Zhifan Luo, Concordia UniversityChair: Cary Wu, York University\nThe COVID-19 pandemic has led to a global surge in Sinophobia. This talk introduces two unique datasets that we collected to study how different communities reacted to COVID-19 on Twitter during the early pandemic. First, I show that Sinophobia or hate speech targeting Asians, Asian Americans and Pacific Islanders (AAPI) in online English communities was ubiquitous by mining over 68 million English Tweets we compiled using relevant keywords. This multiplex anti-AAPI Hate Speech data consisted of four aspects including COVID-specific hate, anti-Chinese politics, general AAPI hate, and counter hate. Second, I show that Sinophobia was also popular in Chinese language communities on Twitter by mining over 25 million Chinese tweets mentioning any Chinese characters related to China, the Chinese Communist Party (CCP), Chinese, and Asians after the COVID-19 outbreak. I show that the majority of these tweets were negative toward China, and they were targeting the Chinese government and CCP.  Both datasets are available to scholars, and we call for more collaborative research to study the causes, consequences, and patterns of anti-Asian/Chinese sentiments online.\nYongjun Zhang is an Assistant Professor in the Department of Sociology and the Institute for Advanced Computational Science at Stony Brook University. His main research interests include computational social science, political sociology, organizational studies, and demography. His current projects combine big data with computational, statistical, and network methods to study mobility, segregation, and polarization in the US. and across the globe. His work has appeared in various journals such as American Journal of Sociology, Demography, Scientific Reports, and Nature Humanities and Social Sciences Communications. He teaches research methods in sociology and introduction to advanced computational social science courses at Stony Brook.\nAttendees can register at this link.\nThis event is presented by the York Centre for Asian Research.\n
URL:https://www.yorku.ca/research/ycar/events/sinophobia-on-western-social-media-during-early-covid-19/
ORGANIZER;CN=YCAR:MAILTO:
CATEGORIES:YCAR Main Events
LOCATION:Online Zoom
END:VEVENT
END:VCALENDAR