Challenges and perspectives of hate speech research

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Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.48541/dcr.v12.0

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The following documents are parts of this document:

• Dark participation: Conception, reception, and extensions (pp. 251-270)• Unfree to speak and forced to hate? The phenomenon of the All-Poland Women's Strike (pp. 55-71)• Challenges of comparative research on hate speech in media user comments: Comparing countries, platforms, and target groups (pp. 127-139)• Hate speech (pp. 143-163)• Bolsonaro's hate network: From the fringes to the presidency (pp. 27-42)• Journalists as messengers of hate speech: The case of Lebanon (pp. 45-53)• Sharing is caring: Addressing shared issues and challenges in hate speech research (pp. 11-22)• Who moderates my social media? Locating Indian workers in the global content moderation practices (pp. 111-125)• Beyond the law: Toward alternative methods of hate speech interventions in Nigeria (pp. 87-109)• The role of context in incivility research (pp. 73-85)• Hate and harm (pp. 165-183)• Incivility (pp. 199-217)• Evasive offenses: Linguistic limits to the detection of hate speech (pp. 319-332)• Scraping By? Europe's law and policy on social media research access (pp. 405-425)• Scraping social media data as platform research: A data hermeneutical perspective (pp. 427-441)• Dataset annotation in abusive language detection (pp. 443-464)• Dangerous speech (pp. 185-197)• Toxicity (pp. 219-230)• Future directions for online incivility research (pp. 273-286)• Extreme speech (pp. 233-248)• Monitoring hate speech and the limits of current definition (pp. 291-298)• Machines do not decide hate speech: Machine learning, power, and the intersectional approach (pp. 355-369)• The datafication of hate speech (pp. 301-317)• Decoding implicit hate speech: The example of antisemitism (pp. 335-352)• The accuracy trap or How to build a phony classifier (pp. 371-381)• The right kind of explanation: Validity in automated hate speech detection (pp. 383-402)• Futures for research on hate speech in online social media platforms (pp. 467-482)

Strippel, Christian

Paasch-Colberg, Sünje

Emmer, Martin

Trebbe, Joachim
(ed.)

Abstract

This book is the result of a conference that could not take place. It is a collection of 26 texts that address and discuss the latest developments in international hate speech research from a wide range of disciplinary perspectives. This includes case studies from Brazil, Lebanon, Poland, Nigeria, and India, theoretical introductions to the concepts of hate speech, dangerous speech, incivility, toxicity, extreme speech, and dark participation, as well as reflections on methodological challenges such as scraping, annotation, datafication, implicity, explainability, and machine learning. As such, it provides a much-needed forum for cross-national and cross-disciplinary conversations in what is currently a very vibrant field of research.... view less

Keywords
social media; hate; aggressiveness; racism; sexism; antisemitism; speech; communication behavior; data access

Classification
Sociology of Communication, Sociology of Language, Sociolinguistics
Political Process, Elections, Political Sociology, Political Culture
Impact Research, Recipient Research
Interactive, electronic Media

Free Keywords
hate speech; dangerous speech; incivility; toxicity; extreme speech; dark participation; platform; machine learning

Document language
English

Publication Year
2023

City
Berlin

Page/Pages
488 p.

Series
Digital Communication Research, 12

ISSN
2198-7610

ISBN
978-3-945681-12-1

Status
Primary Publication; peer reviewed

Licence
Creative Commons - Attribution 4.0