Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining

Hao Lin; Pradeep Nalluri; Lantian Li; Yifan Sun; Yongjun Zhang

Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining

Hao Lin
, Pradeep Nalluri
, Lantian Li
, Yifan Sun
, Yongjun Zhang

Stony Brook University
Northwestern University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

COVID-19 has disproportionately threatened minority communities in the U.S, not only in health but also in societal impact. However, social scientists and policymakers lack critical data to capture the dynamics of the anti-Asian hate trend and to evaluate its scale and scope. We introduce new datasets from Twitter related to anti-Asian hate sentiment before and during the pandemic. Relying on Twitter’s academic API, we retrieve hateful and counter-hate tweets from the Twitter Historical Database. To build contextual understanding and collect related racial cues, we also collect instances of heated arguments, often political, but not necessarily hateful, discussing Chinese issues. We then use the state-of-the-art hate speech classifiers to discern whether these tweets express hatred. These datasets can be used to study hate speech, general anti-Asian or Chinese sentiment, and hate linguistics by social scientists as well as to evaluate and build hate speech or sentiment analysis classifiers by computational scholars.

Original language	English
Title of host publication	WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop
Editors	Jeremy Barnes, Orphee De Clercq, Valentin Barriere, Shabnam Tafreshi, Sawsan Alqahtani, Joao Sedoc, Roman Klinger, Alexandra Balahur
Publisher	Association for Computational Linguistics (ACL)
Pages	16-24
Number of pages	9
ISBN (Electronic)	9781955917520
State	Published - 2022
Event	12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2022 - Dublin, Ireland Duration: May 26 2022 → …

Publication series

Name	WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop

Conference

Conference	12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2022
Country/Territory	Ireland
City	Dublin
Period	05/26/22 → …

Keywords

Anti-Asian
Anti-China
COVID19
Hate speech
Sinophobia
Twitter mining

Cite this

Lin, H., Nalluri, P., Li, L., Sun, Y., & Zhang, Y. (2022). Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining. In J. Barnes, O. De Clercq, V. Barriere, S. Tafreshi, S. Alqahtani, J. Sedoc, R. Klinger, & A. Balahur (Eds.), WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop (pp. 16-24). (WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop). Association for Computational Linguistics (ACL).

Lin, Hao ; Nalluri, Pradeep ; Li, Lantian et al. / Multiplex Anti-Asian Sentiment before and during the Pandemic : Introducing New Datasets from Twitter Mining. WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. editor / Jeremy Barnes ; Orphee De Clercq ; Valentin Barriere ; Shabnam Tafreshi ; Sawsan Alqahtani ; Joao Sedoc ; Roman Klinger ; Alexandra Balahur. Association for Computational Linguistics (ACL), 2022. pp. 16-24 (WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop).

@inproceedings{93a6334e02354e2e9495d93b4021221f,

title = "Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining",

abstract = "COVID-19 has disproportionately threatened minority communities in the U.S, not only in health but also in societal impact. However, social scientists and policymakers lack critical data to capture the dynamics of the anti-Asian hate trend and to evaluate its scale and scope. We introduce new datasets from Twitter related to anti-Asian hate sentiment before and during the pandemic. Relying on Twitter{\textquoteright}s academic API, we retrieve hateful and counter-hate tweets from the Twitter Historical Database. To build contextual understanding and collect related racial cues, we also collect instances of heated arguments, often political, but not necessarily hateful, discussing Chinese issues. We then use the state-of-the-art hate speech classifiers to discern whether these tweets express hatred. These datasets can be used to study hate speech, general anti-Asian or Chinese sentiment, and hate linguistics by social scientists as well as to evaluate and build hate speech or sentiment analysis classifiers by computational scholars.",

keywords = "Anti-Asian, Anti-China, COVID19, Hate speech, Sinophobia, Twitter mining",

author = "Hao Lin and Pradeep Nalluri and Lantian Li and Yifan Sun and Yongjun Zhang",

note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2022 ; Conference date: 26-05-2022",

year = "2022",

language = "English",

series = "WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop",

publisher = "Association for Computational Linguistics (ACL)",

pages = "16--24",

editor = "Jeremy Barnes and \{De Clercq\}, Orphee and Valentin Barriere and Shabnam Tafreshi and Sawsan Alqahtani and Joao Sedoc and Roman Klinger and Alexandra Balahur",

booktitle = "WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop",

}

Lin, H, Nalluri, P, Li, L, Sun, Y & Zhang, Y 2022, Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining. in J Barnes, O De Clercq, V Barriere, S Tafreshi, S Alqahtani, J Sedoc, R Klinger & A Balahur (eds), WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop, Association for Computational Linguistics (ACL), pp. 16-24, 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2022, Dublin, Ireland, 05/26/22.

Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining. / Lin, Hao; Nalluri, Pradeep; Li, Lantian et al.
WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. ed. / Jeremy Barnes; Orphee De Clercq; Valentin Barriere; Shabnam Tafreshi; Sawsan Alqahtani; Joao Sedoc; Roman Klinger; Alexandra Balahur. Association for Computational Linguistics (ACL), 2022. p. 16-24 (WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multiplex Anti-Asian Sentiment before and during the Pandemic

T2 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2022

AU - Lin, Hao

AU - Nalluri, Pradeep

AU - Li, Lantian

AU - Sun, Yifan

AU - Zhang, Yongjun

PY - 2022

Y1 - 2022

N2 - COVID-19 has disproportionately threatened minority communities in the U.S, not only in health but also in societal impact. However, social scientists and policymakers lack critical data to capture the dynamics of the anti-Asian hate trend and to evaluate its scale and scope. We introduce new datasets from Twitter related to anti-Asian hate sentiment before and during the pandemic. Relying on Twitter’s academic API, we retrieve hateful and counter-hate tweets from the Twitter Historical Database. To build contextual understanding and collect related racial cues, we also collect instances of heated arguments, often political, but not necessarily hateful, discussing Chinese issues. We then use the state-of-the-art hate speech classifiers to discern whether these tweets express hatred. These datasets can be used to study hate speech, general anti-Asian or Chinese sentiment, and hate linguistics by social scientists as well as to evaluate and build hate speech or sentiment analysis classifiers by computational scholars.

AB - COVID-19 has disproportionately threatened minority communities in the U.S, not only in health but also in societal impact. However, social scientists and policymakers lack critical data to capture the dynamics of the anti-Asian hate trend and to evaluate its scale and scope. We introduce new datasets from Twitter related to anti-Asian hate sentiment before and during the pandemic. Relying on Twitter’s academic API, we retrieve hateful and counter-hate tweets from the Twitter Historical Database. To build contextual understanding and collect related racial cues, we also collect instances of heated arguments, often political, but not necessarily hateful, discussing Chinese issues. We then use the state-of-the-art hate speech classifiers to discern whether these tweets express hatred. These datasets can be used to study hate speech, general anti-Asian or Chinese sentiment, and hate linguistics by social scientists as well as to evaluate and build hate speech or sentiment analysis classifiers by computational scholars.

KW - Anti-Asian

KW - Anti-China

KW - COVID19

KW - Hate speech

KW - Sinophobia

KW - Twitter mining

UR - https://www.scopus.com/pages/publications/85136883133

M3 - Conference contribution

AN - SCOPUS:85136883133

T3 - WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop

SP - 16

EP - 24

BT - WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop

A2 - Barnes, Jeremy

A2 - De Clercq, Orphee

A2 - Barriere, Valentin

A2 - Tafreshi, Shabnam

A2 - Alqahtani, Sawsan

A2 - Sedoc, Joao

A2 - Klinger, Roman

A2 - Balahur, Alexandra

PB - Association for Computational Linguistics (ACL)

Y2 - 26 May 2022

ER -

Lin H, Nalluri P, Li L, Sun Y , Zhang Y. Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining. In Barnes J, De Clercq O, Barriere V, Tafreshi S, Alqahtani S, Sedoc J, Klinger R, Balahur A, editors, WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2022. p. 16-24. (WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop).

Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Cite this