<p>The governance of hate speech online is a growing challenge. While governments and social organizations have developed initiatives to mitigate hate online, it remains unclear what users would prefer regarding hate speech governance. How do people think online hate speech should be regulated? To understand the nature of preferences for hate speech regulation across countries, we conducted a conjoint experiment asking 21,925 individuals from 21 countries from across the globe to evaluate hate speech governance policies. The results suggest an international consensus regarding citizens’ preference for hate speech regulation. We find that people prefer a detection method that involves human judgment rather than an exclusive reliance on automated approaches. People around the world think hate speech should be punished: users posting hate speech should be suspended or banned from platforms. We also reveal differences in preferences for the stringency of sanctions by gender and left-right ideology. These results have important implications for how governments and platforms might approach hate speech regulation and its effectiveness.</p>

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Preferences for platform regulation of online hate speech are shared internationally

  • Thomas Bergeron,
  • Peter John Loewen,
  • Christopher Cochrane,
  • Effi Levi,
  • Ron Levi,
  • Odelia Oshri,
  • Gal Ron,
  • Shaul R. Shenhav,
  • Tamir Sheafer,
  • Clareta Treger

摘要

The governance of hate speech online is a growing challenge. While governments and social organizations have developed initiatives to mitigate hate online, it remains unclear what users would prefer regarding hate speech governance. How do people think online hate speech should be regulated? To understand the nature of preferences for hate speech regulation across countries, we conducted a conjoint experiment asking 21,925 individuals from 21 countries from across the globe to evaluate hate speech governance policies. The results suggest an international consensus regarding citizens’ preference for hate speech regulation. We find that people prefer a detection method that involves human judgment rather than an exclusive reliance on automated approaches. People around the world think hate speech should be punished: users posting hate speech should be suspended or banned from platforms. We also reveal differences in preferences for the stringency of sanctions by gender and left-right ideology. These results have important implications for how governments and platforms might approach hate speech regulation and its effectiveness.