Hate speech, Censorship, and Freedom of Speech: The Changing Policies of Reddit
Listen
Radio episode about this paper
Transcript
Introduction to the show: ident: AI Radio. Generated commentary on the latest Artificial Intelligence papers.
Tom: I'm Tom.
Jane: And I'm Jane, here with Lu, Meng and our in-house large language model, Lalam.
Tom: Today's paper: "Hate speech, Censorship, and Freedom of Speech".
Jane: The gist The paper examines how shifts in Reddit's content policies and user attitudes reflect broader societal upheavals and evolving regulatory philosophies concerning hate speech.
Tom: First, who's behind it and why it matters.
Title and authors: Tom: We’ve just touched on the focus of this paper, which is looking at how Reddit’s content policies have shifted over time and connecting that to bigger societal movements.
Jane: It really zooms in on the evolution of user attitudes as they reacted to these policy updates, showing a clear connection between platform rules and what people think about hate speech now.
Lu: The paper examines how shifts in Reddit's content policies and user attitudes reflect broader societal upheavals and evolving regulatory philosophies concerning hate speech.
Meng: Basically, they used topic modeling on comments reacting to five policy changes made by Reddit admins from two thousand fifteen to two thousand twenty <ref:2203.09673#pg2>.
Lalam: They showed a clear shift in both the contents and the user attitudes that can be linked to contemporary societal upheaval as well as newly passed laws and regulations.
Tom: So, it's not just about what Reddit decided; it’s about how users interpreted those decisions in response to bigger cultural or legal changes happening around hate speech.
Jane: That’s a good way to put it—linking platform actions to societal shifts. It suggests that the standards for what is acceptable online are changing based on external pressures.
Lu: They highlight a tension between American and European philosophies regarding hate speech, where one view talks about freedom of expression and another sees violent language as a threat to democratic freedom.
Meng: That contrast between those two philosophical approaches seems important when you look at how different regions handle these issues.
Lalam: And they also suggest that the shift towards protecting marginalized groups by two thousand twenty reflected a change in user consensus, meaning users themselves started agreeing on what was normal regarding hate speech removal <ref:2203.09673#pg2>.
The paper's summary: Tom: The summary of this study explains that they analyzed comments from Reddit users responding to five policy updates to see how their discussions evolved around rules on content and hate speech.
Jane: It’s important because it shows a clear evolution in user discourse, moving from initial ambivalence about what hate speech meant to a more focused concern for safety.
Lu: Specifically, the topic modeling showed that early posts revolved around needing more transparency about bans and rules, and separating valid criticism from real threats.
Meng: But by the two thousand twenty update, the most talked-about topics were a collective desire of Redditors to create safety for marginalized groups, with specific mentions of racism and sexism <ref:2203.09673#pg2>.
Lalam: There was also a new topic in two thousand twenty about Chinese propaganda on the platform, specifically mentioning r/Sino <ref:2203.09673#pg2>.
Tom: So they found that the discourse moved from general confusion to very specific concerns about protecting certain communities and identifying particular types of problematic content.
Jane: That's a big jump from just talking about offensive content in two thousand fifteen to discussing how to actively create safety for groups in two thousand twenty <ref:2203.09673#pg2>.
Lu: They also point out the philosophical divide, noting that Reddit's two thousand fifteen policy mirrored some US Supreme Court views on the freedom to express hate, while the EU had a different view about violent language threatening democratic freedom <ref:2203.09673#pg2>.
Meng: That contrast between those two viewpoints is what really sets up the tension in their analysis of how these platforms operate globally.
Lalam: The overall finding is that this evolution shows how norms get diffused through socialization, as seen when the EU tries to socialize American tech platforms to its own view of human rights and hate speech.
The paper's improvements: Tom: When we look at the suggestions in the paper for future work, they propose using sentiment analysis on each topic to see what feelings users attached to those specific discussions.
Jane: That would be useful because it would tell us if a topic was just being discussed neutrally or if there was real anger or support behind it, which is something a simple topic model doesn't capture.
Lu: They suggest using those sentiments as covariates in structural topic modeling to explore the relationship between user attitudes and policy changes on other social media platforms, both inside and outside the EU.
Meng: From an engineering standpoint, that would be hard to implement at scale without massive computational overhead, but it could help us predict policy friction by analyzing comments for things like "inciting violence against a particular group" or specific identity-based hate.
Lalam: They also suggest building tools that can predict policy friction by identifying emerging concerns like racism or sexism before they become widespread violations, which would be proactive moderation.
Tom: And then there’s the idea of tracking the lifecycle of extremist narratives, monitoring topics like Chinese propaganda on the platform to anticipate how those discussions will evolve and where interventions are needed next.
Jane: It seems they are looking at making these systems smarter by adding that layer of emotional context and proactive detection before things get out of hand.
Lu: The paper concludes that hate speech removal is now standard practice in the minds of moderators, policymakers, and users alike, which is a pretty big shift in how this issue is treated.
Conclusion: Tom: So to wrap up, this study on Hate speech, Censorship, and Freedom of Speech: The Changing Policies of Reddit shows that user attitudes on hate speech have clearly shifted from initial ambivalence to a consensus around safety for marginalized groups.
Jane: It’s really about how those policy shifts reflect broader societal changes and regulatory philosophies between different regions, like the US versus the EU approaches.
Lu: This paper shows how norms are diffused, moving towards a standard practice where hate speech removal is accepted by users, moderators, and policymakers in many contexts.
Meng: From my side, it means that for platforms dealing with this kind of content moderation at scale, you need systems that can anticipate these shifts proactively rather than just reacting to violations after they happen.
Lalam: They used the data from these five policy updates to demonstrate this evolution of discourse and show how user consensus has developed over time.
Tom: So we’ve seen how topic modeling can be used not just to see what people are saying, but to understand the underlying philosophical tensions that drive content moderation policies.
Jane: It gives us a clearer picture of how online communities navigate these complex issues and where the standards for acceptable speech are heading.
Elissa Nakajima Wickham, Emily Öhman
Waseda University
cs.CL
Submitted: 2022-03-18
Updated: 2022-03-18
Comments: Submitted to Journal of Data Mining and Digital Humanities
DOI: 10.46298/jdmdh.9226
Code: https://github.com/praw-dev/praw
License: http://creativecommons.org/licenses/by-sa/4.0/
Importance score: 76/100
The gist: The gist The paper examines how shifts in Reddit's content policies and user attitudes reflect broader societal upheavals and evolving regulatory philosophies concerning hate speech.
Key concepts
- Topic Modeling
- This is a data analysis technique used to discover patterns or 'topics' within large amounts of text, like thousands of user comments. In this paper, it helps researchers identify the main themes or subjects users were discussing in response to Reddit's policy updates.
- Brussels Effect
- This concept describes how regulations from a powerful group, like the EU, can influence other markets and companies even if those companies are not directly regulated by that group. It means that rules set by the EU on issues like hate speech can change practices across social media platforms globally.
- Hate Speech Moderation
- This refers to the process of identifying and removing content online that attacks or incites violence against specific groups based on characteristics like race or religion. The paper examines how policies and user opinions have changed regarding what counts as hate speech on Reddit.
Summary
The gist The paper examines how shifts in Reddit's content policies and user attitudes reflect broader societal upheavals and evolving regulatory philosophies concerning hate speech.
Context of Policy Changes
The study focuses on five updates to Reddit Content Policy made by admins between 2015 and 2020, using topic modeling to analyze the discourse of general Reddit users in reaction to these changes. These updates cover a spectrum from initial ambivalence toward hate speech in 2015, introducing concepts like Quarantining a community
in 2015b, clarifying rules on violent content in 2017, and finally declaring a stance against hate speech in the 2020 update. The initial posts showed ambivalence around the concept of hate speech
and focused more on offensive content
.
User Discourse Evolution
Topic modeling reveals a clear shift in user discourse across the policy updates. For the 2015 AMA, salient topics revolved around the need for more transparency around bans and rules
, rules around brigading subreddits
, and separating valid criticism from real threat
. By contrast, the 2020 update's most salient topics express a collective desire of Redditors to create safety for marginalized groups
, with specific talk around racism and to a lesser extent sexism. A new prevalent topic in 2020 was Chinese propaganda on the platform, often specifically regarding the subreddit r/Sino
.
Philosophical Divide
The analysis highlights a tension between American and European philosophies regarding hate speech. Reddit's 2015 policy update mirrored sentiments of the US Supreme Court on hate speech, referring to the freedom to express ‘the thought that we hate’
. The EU, conversely, takes an opposite approach, viewing violent language as a threat to democratic freedom as a whole. The 2020 policy update reflects the European philosophy of compromise rather than the American philosophy of unregulated discussion.
Societal Reflection and Norm Socialization
The evolution of Reddit's content policy is evidence of the third process of socialization where norms are diffused, as seen in the EU's concentrated effort to socialize American tech platforms to its own conception of human rights and hate speech. The shift towards protecting marginalized groups by 2020 reflects a change in user consensus, as users came to conclude that by 2020, as shown by the topics brought up by Reddit users, they too had come to the same conclusion
. This suggests that standards of hate speech removal on platforms have been accepted by a good portion of users as normal.
Future Directions
The research suggests future work could involve sentiment analysis to analyze the sentiments attached to each topic
and using these sentiments as covariates in structural topic modeling. This could further explore the relationship between user attitudes and policy changes on other social media platforms both within and outside the scope of the EU. The paper ultimately concludes that hate speech removal is now standard practice in the minds of moderators and policymakers as well as users.
--- Page 1 ---
Hate speech, Censorship, and Freedom of Speech: The Changing Policies of Reddit. Elissa Nakajima Wickham Waseda University elissa@akane.waseda.jp Emily Öhman Waseda University ohman@waseda.jp ORC-iD: 0000-0003-1363-7361
--- Page 2 ---
I. Introduction The peculiarities of online hate speech as compared to traditional, offline, hate speech has made it necessary to rapidly develop and implement laws regulating offensive speech online (Brown, 2018) The characteristics of online communities means that it is much easier for fringe ideals to gain foothold and members of such communities to spend their online lives in echo chambers of hate (Shaw, 2011), often targeting a specific group of people based on some real or perceived characteristic such as race, sex, sexuality, religion, and political beliefs The EU’s 2016 Code on Countering Illegal Hate Speech Online (Code) introduced voluntary legislation that saw Twitter, Google, Facebook, and Microsoft commit to regulating hateful speech or speech that incites violence on their platforms By 2020 each platform had stringent guidelines and flagging systems to remove reports of hate speech (Aswad, 2016) Anu Bradford (2019) would attribute this shift in practices to what she defined as “The Brussels Effect”, or the regulatory power of the EU in certain markets to change standards of certain markets through their institutional capacity, willingness to create stringent rules, the relative market size of Europe, and the multilateral organization focusing on inelastic targets and non-divisible processes; meaning that their regulations had target aspects of the market that do not change, unlike capital or profit, and aspects that cannot be easily divided into separate processes to confront different standards of production In terms of the digital economy Bradford (2019) identified two aspects where the Brussels Effect was in full force, specifically, the areas of data protection and hate speech. She was able to identify both the de facto and de jure aspect of the Brussels Effect in terms of data protection, as the EU had passed the 2016 binding legislation, the General Data Protection Regulation (GDPR), that forced a change in tech companies practices around the collection of user data The de facto and de jure aspect of the Brussels Effect on hate speech remained unexplored, as the EU had not passed any binding legislation around hate speech regulation in the digital economy and only had the voluntary Code in effect at the time of writing her book although currently, the binding version of the Code, The Digital Services Act (DSA) has been adopted and is in the process of being fully implemented at a later date
--- Page 3 ---
Although the Code has been criticized by several scholars (see e.g. Aswad, 2016; Portaru, 2017; Alkiviadou, 2019) for both the privatization of hate speech making multinational private companies the arbiters of what constitutes legal and illegal hate speech and vague outcome reports (Portaru, 2017 - for the outcome report itself see Jourova, 2016) it has clearly facilitated change in how social media platforms deal with the datafication of hate (see e.g. Aswad, 2016; Laaksonen et al., 2020) As there is no universally accepted definition of hate speech (Nemes, 2010; Laaksonen, 2020) the private actors have little choice but to come up with their own definitions leading to vastly different policies on different social media platforms (Alkiviadou, 2019) Nonetheless, it is undeniable that the Code has greatly affected the content policies of all major social media platforms
--- Page 4 ---
The change in Reddit Content policy represents a shift in practices from Reddit as a company, and this change necessitates the question of if general Reddit users have shifted their philosophy surrounding hate speech in line with the company For this reason, this paper utilizes topic modeling of comments made by general Reddit users on Reddit admins’ posts informing them of Content Policy updates to determine the general topics brought up in reaction to changing standards of what can and cannot be posted on the website This is done in order to determine if and how the general philosophy of Reddit users has shifted on the topics on censorship and freedom of speech We will first explain the context of the five content policy updates used for the analysis in this paper before presenting the data and methods used to conduct this analysis We will then explore the results before commenting on the change in the general lexicon of Reddit users and what it means for the future of social media platforms and further regulations of violent speech online
--- Page 5 ---
For a more comprehensive investigation of the reddit data we here qualitatively outline the content of each Reddit update utilized in this paper. The Content Policy updates utilized in this paper begin in 2015, and end in 2020 The first update was made by the Reddit admin u/spez1 in 2015 entitled “Let’s Talk Content. AMA2 ” in r/announcements3 (Reddit - [u/spez], 2015a) This is the first time Reddit admins post about content restrictions on the website An excerpt from this post reads: As Reddit has grown, we've seen additional examples of how unfettered free speech can make Reddit a less enjoyable place to visit and can even cause people harm outside of Reddit. Earlier this year, Reddit took a stand and banned non-consensual pornography This was largely accepted by the community and the world is a better place as a result (Google and Twitter have followed suit) Part of the reason this went over so well was because there was a very clear line of what was unacceptable Part of the reason this went over so well was because there was a very clear line of what was unacceptable Reddit - [u/spez], 2015a
--- Page 6 ---
3 Communities on Reddit are known as subreddits and are denoted with an r/ preceding the community name.
Improvements for AI systems
-
Enhanced Policy Alignment via Topic Modeling: Improve AI systems to automatically map user discourse against evolving content policies by utilizing
structural topic modeling (STM)
on comments reacting to policy updates, such as those in 2015, 2018, and 2020. This allows the system to determineif and how the general philosophy of Reddit users has shifted on the topics on censorship and freedom of speech.
-
Proactive Hate Speech Moderation: Develop moderation tools that can predict policy friction by analyzing user comments using topic models to identify emerging concerns, such as those related to
inciting violence against a particular group
or specific identity-based hate (e.g.,racism,
sexism
). This enables platforms to address issues before they become widespread violations. -
Contextual Nuance in Enforcement: Implement systems that understand the philosophical divide between US and EU approaches, recognizing that
The freedom to express ‘the thought that we hate’” is viewed differently than the EU's approach, which views
violent language as a threat to democratic freedom as a whole." This allows for context-aware application of rules based on whether the platform operates under an American or European normative framework. -
Brigading and Manipulation Detection: Improve detection algorithms for coordinated harassment by focusing on topics identified in the data, such as
brigading subreddits
and related terms likeharass,
enabling systems to identify when users are engaged in practices wheremembers of a specific Reddit community are encouraged to upvote specific, often offensive, content outside of the community itself.
-
Monitoring Evolving Extremist Narratives: Build systems capable of tracking the lifecycle of extremist ideologies by monitoring topics like
Chinese propaganda on the platform
or discussions around specific political subreddits (e.g., r/Sino). This helps in anticipating how narratives will evolve and where policy interventions are needed, as seen in the shift from discussingholocaust denial
to broader concerns.
Abstract
This paper examines the shift in focus on content policies and user attitudes on the social media platform Reddit. We do this by focusing on comments from general Reddit users from five posts made by admins (moderators) on updates to Reddit Content Policy. All five concern the nature of what kind of content is allowed to be posted on Reddit, and which measures will be taken against content that violates these policies. We use topic modeling to probe how the general discourse for Redditors has changed around limitations on content, and later, limitations on hate speech, or speech that incites violence against a particular group. We show that there is a clear shift in both the contents and the user attitudes that can be linked to contemporary societal upheaval as well as newly passed laws and regulations, and contribute to the wider discussion on hate speech moderation.
Sources
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering