Hate Speech and Sentiment of YouTube Video Comments From Public and Private Sources Covering the Israel-Palestine Conflict

Simon Hofmann (), Christoph Sommermann (), Mathias Kraus (), Patrick Zschech () and Julian Rosenberger ()
Additional contact information
Simon Hofmann: Friedrich-Alexander Universität Erlangen-Nürnberg
Christoph Sommermann: Friedrich-Alexander Universität Erlangen-Nürnberg
Mathias Kraus: Universität Regensburg
Patrick Zschech: TU Dresden
Julian Rosenberger: Universität Regensburg

A chapter in Shaping the Digital Future Through Innovation and Practice, 2026, pp 257-272 from Springer

Abstract: Abstract This study explores the prevalence of hate speech (HS) and sentiment in YouTube video comments concerning the Israel-Palestine conflict by analyzing content from both public and private news sources. The research involved annotating 4983 comments for HS and sentiments (neutral, pro-Israel, and pro-Palestine). Subsequently, machine learning (ML) models were developed, demonstrating robust predictive capabilities with area under the receiver operating characteristic (AUROC) scores ranging from 0.83 to 0.90. These models were applied to the extracted comment sections of YouTube videos from public and private sources, uncovering a higher incidence of HS in public sources (40.4%) compared to private sources (31.6%). Sentiment analysis revealed a predominantly neutral stance in both source types, with more pronounced sentiments towards Israel and Palestine observed in public sources. This investigation highlights the dynamic nature of online discourse surrounding the Israel-Palestine conflict and underscores the potential of moderating content in a politically charged environment.

Keywords: Israel-Palestine conflict; Natural language processing; Hate speech detection (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-08489-7_18

Ordering information: This item can be ordered from
http://www.springer.com/9783032084897

DOI: 10.1007/978-3-032-08489-7_18

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().