Ontario court rules against Jordan Peterson, upholds social media training order

Canadian Broadcasting Company

Originally posted 23 August 23

An Ontario court ruled against psychologist and media personality Jordan Peterson Wednesday, and upheld a regulatory body's order that he take social media training in the wake of complaints about his controversial online posts and statements.

Last November, Peterson, a professor emeritus with the University of Toronto psychology department who is also an author and media commentator, was ordered by the College of Psychologists of Ontario to undergo a coaching program on professionalism in public statements.

That followed numerous complaints to the governing body of Ontario psychologists, of which Peterson is a member, regarding his online commentary directed at politicians, a plus-sized model, and transgender actor Elliot Page, among other issues. You can read more about those social media posts here.

The college's complaints committee concluded his controversial public statements could amount to professional misconduct and ordered Peterson to pay for a media coaching program — noting failure to comply could mean the loss of his licence to practice psychology in the province.

Peterson filed for a judicial review, arguing his political commentary is not under the college's purview.

Three Ontario Divisional Court judges unanimously dismissed Peterson's application, ruling that the college's decision falls within its mandate to regulate the profession in the public interest and does not affect his freedom of expression.

"The order is not disciplinary and does not prevent Dr. Peterson from expressing himself on controversial topics; it has a minimal impact on his right to freedom of expression," the decision written by Justice Paul Schabas reads, in part.

The info is here.

The court decision is here.

My take:

Peterson has argued that the order violates his right to free speech. He has also said that the complaints against him were politically motivated. However, the court ruled that the college's order was justified in order to protect the public from harm.

The case of Jordan Peterson is a reminder that psychologists, like other human beings, are not infallible. They are capable of making mistakes and of expressing harmful views. It is important to hold psychologists accountable for their actions, and to ensure that they are held to the highest ethical standards.

In addition to the steps outlined above, there are a number of other things that can be done to mitigate bias in psychology. These include:

• Increasing diversity in the field of psychology
• Promoting critical thinking and self-reflection among psychologists
• Developing more specific ethical guidelines for psychologists' use of social media
• Holding psychologists accountable for their online behavior

Moralized language predicts hate speech on social media

Kirill Solovev and Nicolas Pröllochs

PNAS Nexus, Volume 2, Issue 1, 

January 2023

https://doi.org/10.1093/pnasnexus/pgac281

Abstract

Hate speech on social media threatens the mental health of its victims and poses severe safety risks to modern societies. Yet, the mechanisms underlying its proliferation, though critical, have remained largely unresolved. In this work, we hypothesize that moralized language predicts the proliferation of hate speech on social media. To test this hypothesis, we collected three datasets consisting of N = 691,234 social media posts and ∼35.5 million corresponding replies from Twitter that have been authored by societal leaders across three domains (politics, news media, and activism). Subsequently, we used textual analysis and machine learning to analyze whether moralized language carried in source tweets is linked to differences in the prevalence of hate speech in the corresponding replies. Across all three datasets, we consistently observed that higher frequencies of moral and moral-emotional words predict a higher likelihood of receiving hate speech. On average, each additional moral word was associated with between 10.76% and 16.48% higher odds of receiving hate speech. Likewise, each additional moral-emotional word increased the odds of receiving hate speech by between 9.35 and 20.63%. Furthermore, moralized language was a robust out-of-sample predictor of hate speech. These results shed new light on the antecedents of hate speech and may help to inform measures to curb its spread on social media.

Significance Statement

This study provides large-scale observational evidence that moralized language fosters the proliferation of hate speech on social media. Specifically, we analyzed three datasets from Twitter covering three domains (politics, news media, and activism) and found that the presence of moralized language in source posts was a robust and meaningful predictor of hate speech in the corresponding replies. These findings offer new insights into the mechanisms underlying the proliferation of hate speech on social media and may help to inform educational applications, counterspeech strategies, and automated methods for hate speech detection.

Discussion

This study provides observational evidence that moralized language in social media posts is associated with more hate speech in the corresponding replies. We uncovered this link for posts from a diverse set of societal leaders across three domains (politics, news media, and activism). On average, each additional moral word was associated with between 10.76 and 16.48% higher odds of receiving hate speech. Likewise, each additional moral-emotional word increased the odds of receiving hate speech by between 9.35 and 20.63%. Across the three domains, the effect sizes were most pronounced for activists. A possible reason is that the activists in our data were affiliated with politically left-leaning subjects (climate, animal rights, and LGBTQIA+) that may have been particularly likely to trigger hate speech from right-wing groups. In contrast, our data for politicians and newspeople were fairly balanced and encompassed users from both sides of the political spectrum. Overall, the comparatively large effect sizes underscore the salient role of moralized language on social media. While earlier research has demonstrated that moralized language is associated with greater virality, our work implies that it fosters the proliferation of hate speech.

The research is here.