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Features for Hate? Using the Delphi Method to Explore Digital Determinants for Online Hate Perpetration and
Ina Weber1, Heidi Vandebosch1, Karolien Poels1
1Department of Communication Studies, University of Antwerp, Antwerp, Belgium.
Cyberpsychology, Behavior and Social Networking
|April 27, 2023
Summary
Social media platform features can both fuel online hate speech and offer solutions. Understanding these digital affordances is key to developing effective prevention strategies against harmful content.
Area of Science:
- Digital communication studies
- Social media analysis
- Cyberpsychology
Background:
- Online hate speech on social media poses significant risks to individuals and society.
- Effective countermeasures require understanding the factors driving hate speech perpetration.
Purpose of the Study:
- Investigate digital determinants facilitating online hate perpetration.
- Explore technology-driven interventions for preventing online hate speech.
- Analyze the role of social media platform features in hate speech dynamics.
Main Methods:
- Utilized the Delphi method with experts from research and practice for consensus building.
- Collected data through open-ended surveys and multiple-choice questionnaires.
- Assessed intervention usefulness using human-centered design principles.
Main Results:
- Identified key digital determinants that enable online hate speech perpetration.
- Revealed that social media platform features can be leveraged for preventive interventions.
- Thematic analysis and statistical methods provided insights into platform feature influence.
Conclusions:
- Social media platform features are dual-edged, facilitating hate speech while offering intervention opportunities.
- Findings inform the development of targeted, technology-driven strategies to combat online hate speech.
- A nuanced understanding of digital affordances is crucial for effective online safety interventions.
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