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- research-articleJune 2024
Measuring Hate: Does a Definition Affect Self-Reported Levels of Perpetration and Exposure to Online Hate in Surveys?
- James Hawdon,
- Ashley Reichelmann,
- Matthew Costello,
- Vicente J. Llorent,
- Pekka Räsänen,
- Izabela Zych,
- Atte Oksanen,
- Catherine Blaya
Social Science Computer Review (SSCR), Volume 42, Issue 3Pages 812–831https://doi.org/10.1177/08944393231211270The purpose of this research is to test the validity of commonly used measures of exposure to and production of online extremism. Specifically, we investigate if a definition of hate influences survey responses about the production of and exposure to ...
- research-articleAugust 2023
Analysis of COVID-19 Offensive Tweets and Their Targets
- Song Liao,
- Ebuka Okpala,
- Long Cheng,
- Mingqi Li,
- Nishant Vishwamitra,
- Hongxin Hu,
- Feng Luo,
- Matthew Costello
KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 4473–4484https://doi.org/10.1145/3580305.3599773During the global COVID-19 pandemic, people utilized social media platforms, especially Twitter, to spread and express opinions about the pandemic. Such discussions also drove the rise in COVID-related offensive speech. In this work, focusing on Twitter,...
- research-articleFebruary 2022
The Enthymemes of Supporting President Trump: Explaining the Association Between Structural Location, Supporting the President, and Agreeing With Online Extremism
Social Science Computer Review (SSCR), Volume 40, Issue 1Pages 24–41https://doi.org/10.1177/0894439320905767Does hateful rhetoric appeal to supporters of President Trump? Prior studies link sexism, racism, Islamophobia, anti-immigrant sentiment, and intolerant forms of Christianity to supporting or voting for President Trump. We extend this literature by ...
- research-articleNovember 2021
Viewing anti-immigrant hate online: An application of routine activity and Social Structure-Social Learning Theory
Computers in Human Behavior (COHB), Volume 124, Issue Chttps://doi.org/10.1016/j.chb.2021.106927AbstractThe increasingly prominent role of the Internet in the lives of Americans has resulted in more people coming into contact with various types of online content, including online hate material. One of the most common forms of online hate ...
Highlights- Online habits partially pattern exposure to anti-immigrant online hate.
- ...
- extended-abstractOctober 2021
Addressing Challenges and Opportunities in Online Extremism Research: An Interdisciplinary Perspective
CSCW '21 Companion: Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social ComputingPages 356–359https://doi.org/10.1145/3462204.3481722Recent political and cultural upheavals around the globe highlight the importance of studying extremism in online spaces. The CSCW community has shown growing interest in exploring the information and influence operations, use of language and ...
- short-paperMarch 2020
Towards Automatic Detection and Explanation of Hate Speech and Offensive Language
IWSPA '20: Proceedings of the Sixth International Workshop on Security and Privacy AnalyticsPages 23–29https://doi.org/10.1145/3375708.3380312The use of hate speech and offensive language online has become widely recognized as a critical social problem plaguing today's Internet users. Previous research in the detection of hate speech and offensive language has primarily focused on using ...
- research-articleMarch 2020
On the Impact of Word Representation in Hate Speech and Offensive Language Detection and Explanation
CODASPY '20: Proceedings of the Tenth ACM Conference on Data and Application Security and PrivacyPages 171–173https://doi.org/10.1145/3374664.3379535Online hate speech and offensive language have been widely recognized as critical social problems. To defend against this problem, several recent works have emerged that focus on the detection and explanation of hate speech and offensive language using ...
- research-articleOctober 2017
Confronting Online Extremism
Social Science Computer Review (SSCR), Volume 35, Issue 5Pages 587–605https://doi.org/10.1177/0894439316666272Who is likely to be a target of online hate and extremism? To answer this question, we use an online survey N = 963 of youth and young adults recruited from a demographically balanced sample of Americans. Adapting routine activity theory, we distinguish ...
- research-articleOctober 2016
Who views online extremism? Individual attributes leading to exposure
Computers in Human Behavior (COHB), Volume 63, Issue CPages 311–320https://doi.org/10.1016/j.chb.2016.05.033Who is likely to view materials online maligning groups based on race, nationality, ethnicity, sexual orientation, gender, political views, immigration status, or religion? We use an online survey (Nź=ź1034) of youth and young adults recruited from a ...
