Mission & Scope

Digital Hate Review (DHR) is a peer-reviewed, open-access journal on hate and exclusion in digital environments. It is published by AddressHate and carries no article processing charges. The journal brings together qualitative, quantitative, and mixed-methods research from linguistics, media studies, computational social science, legal studies, history, and the social and political sciences.

The field studying digital hate is producing more research than ever. It is not producing enough conversation across the disciplines that study it, nor enough translation into the policy, legal, and civic responses the problem demands. Findings reach policymakers, judges, educators, and platform actors slowly and unevenly, or not at all — not because the research is unavailable, but because it is scattered across disciplinary venues none of those audiences read in concert. DHR exists to address both gaps.

DHR publishes scholarship; it does not adjudicate it. The journal takes no institutional positions on legal, regulatory, or policy outcomes. It commissions and publishes work that advances, challenges, or complicates research on digital hate — including methodological critique and dissenting findings — and leaves the work of policy translation to its readers.

DHR is not a monitoring or content-moderation tool. It does not flag, recommend, or pass judgment on specific actors, accounts, or pieces of content. It is not a journal of opinion. It is not limited to any single discipline or method. Across its sections, the work shares a commitment to evidence, to interdisciplinary engagement, and to the standards of serious scholarship — not a political or programmatic position.

DHR's scope is the full ecosystem of hate in digital space. The journal organizes its coverage around three interconnected dimensions of the field.

Forms of harm. Antisemitism, anti-Black racism, anti-Muslim bigotry, antiziganism, misogyny, anti-Asian racism, and anti-LGBTQ+ hate, in their explicit, coded, and context-dependent forms; multimodal hate across text, image, video, memes, and audio; extremism, radicalization, and political violence; disinformation, misinformation, and conspiracy narratives that connect to and amplify hate.

Infrastructures and dynamics. Platform governance and content moderation; algorithmic amplification and recommender systems; AI-mediated communication including large language models, chatbots, and generative imagery; online harassment and coordinated campaigns; influencer ecosystems and networked publics; digital propaganda and narrative warfare.

Continuity, response, and impact. Historical continuities and digital transformations of hate; institutional responses including law, policy, and enforcement; the measurement, detection, and classification of harmful content; the ethics of automated moderation and surveillance; and the societal and democratic impacts of digital hate.

One of the most consequential intellectual advances of recent years has been the recognition that these forms of hate are structurally connected in the digital context. They do not merely coexist on a single platform; they circulate across digital networks, share rhetorical repertoires, and are amplified by the same algorithmic architectures. The far-right online ecosystem functions, in many contexts, as an ideological laboratory in which hatreds cross-pollinate: a user radicalized through exposure to anti-immigrant content encounters antisemitic conspiracy theories; misogynist communities serve, for some users, as entry points to broader extremist ecosystems; and antidemocratic resentment finds simultaneous expression across racist, antisemitic, anti-Muslim, and anti-Romani frames. Studies focusing on a single form of hate — however rigorous internally — risk mischaracterizing their object by treating it as more isolated than it is. DHR treats hate speech, conspiracy narratives, and disinformation not as adjacent subfields but as an integrated domain of inquiry.

Research on online hate has proliferated across disciplines — computational linguistics, political communication, media studies, sociology, psychology, legal theory, Holocaust studies — producing work of genuine quality and considerable social significance. Yet this proliferation has remained structurally fragmented. Studies developing or applying AI and natural language processing methods appear in computational venues; discourse-analytic work in linguistics journals; sociological findings in political science outlets; historical scholarship in humanities publications. Researchers working on adjacent problems rarely encounter one another's findings in time for those findings to do their full intellectual work.

DHR is founded on the conviction that online hate studies is not merely a topic multiple disciplines happen to share but an issue domain whose most important questions fall precisely into the blind spots no single discipline can see alone. The journal publishes across quantitative, qualitative, computational, and interpretive modes — including LLM-enhanced research — and prioritizes work that crosses methodological boundaries.

Each tradition contributes what the others cannot. Qualitative discourse analysis offers a theoretically grounded account of how hate operates as communication, and why its interpretation is never reducible to pattern recognition. Sociological and behavioral research situates that account within evidence on how individuals and communities are affected, radicalized, and — where intervention succeeds — reached. Historical and legal scholarship prevents the field from treating every current phenomenon as unprecedented. LLM-enhanced research, in turn, opens capacities that neither classical NLP nor qualitative scholarship alone can provide: fine-grained classification at scale, and probes of how AI systems internally represent social groups and historical events. These capacities are transformative, and they introduce new analytical risks — model inconsistency, training data bias, opaque reasoning — that require the kind of cross-disciplinary scrutiny this journal is built to support.

DHR launches into an evolving evidentiary landscape. The EU Agency for Fundamental Rights has documented that a large share of content circulating on major platforms goes undetected by automated moderation tools yet is consistently classified as hateful by human coders — pointing to a structural gap between deployed detection systems and the content they are designed to surface. A 2024 Government Accountability Office report confirmed associations between online hate speech and offline hate crime, while finding significant gaps in how hate-related cybercrimes are measured. Systematic reviews across platforms and jurisdictions document patterns of escalation that predate the destabilizing shocks of January 2021 and October 2023, and that have continued since.

Large language models now occupy both sides of the detection problem. They are simultaneously explored as tools for automated moderation and identified as generators of hate-adjacent content, including systematic forms of Holocaust distortion that arise not from deliberate malice but from the inherent dynamics of AI training and generation. The research community's response to this dual role — instrument and risk in the same systems — is still in early formation.

These conditions are shaping the field DHR enters. Platform accountability frameworks have diverged sharply across key jurisdictions; AI-assisted production and distribution of hate content is expanding faster than governance frameworks have adapted; and a growing body of empirical research examines the relationship between online hate, polarization, and indicators of democratic resilience, though the causal questions remain actively debated. DHR's scope reflects this landscape rather than abstracting from it.

DHR publishes across three integrated sections, each with its own form and editorial standard, connected through a shared taxonomy and a single editorial vision.

Research Articles operates as a peer-reviewed scholarly section in the full and rigorous sense, publishing original empirical, theoretical, and methodological work on digital hate across all relevant disciplines. Research publishes original research articles, theoretical and conceptual papers, systematic reviews, methodological contributions, research notes, and responses to published work. The section treats digital hate as an ecosystem phenomenon and methodological plurality as a disciplinary virtue.

The Legal Forum is a structured, cumulative, citable scholarly space for legal and doctrinal engagement with digital hate, platform governance, and AI accountability. Its purpose is not to resolve doctrine or promote policy positions, but to clarify legal tensions, thresholds, and institutional responsibilities at the intersection of law, platforms, and artificial intelligence — to do so before those tensions harden into bad law. The Forum is not a compliance manual, a policy advocacy outlet, or a traditional doctrinal law review. Legal experts are invited into a sustained, asynchronous, fully citable exchange on the journal's website — a format without a clear equivalent elsewhere — that allows positions to accumulate over time as a documented intellectual record.

Perspectives bridges scholarship and practice through editorially curated essays and conversations with researchers, platform engineers, civil society actors, policymakers, journalists, and public intellectuals. Perspectives provides a formal venue for practitioner and public-intellectual knowledge, which is different from academic knowledge but no less important. By integrating these voices structurally into DHR's architecture rather than treating them as supplementary, the journal ensures that the research it publishes is in conversation with the operational realities it seeks to inform.

What unites the three

Each section operates under its own editorial standard, but the three are not parallel tracks. They share a taxonomy, cross-reference one another, and are presented together in every issue. A reader encountering a Research article on AI-amplified hate can move directly to a Legal Forum debate on AI accountability and a Perspectives essay from a trust-and-safety practitioner working on the same problem. This is the journal's structural answer to the fragmentation it was founded to address.

What DHR does not publish

The Research section does not seek work that treats its own disciplinary tradition as self-sufficient — purely technical benchmark papers without conceptual grounding in what hate is and how it operates, or purely interpretive analyses that remain agnostic about what computational and behavioral research has established. The journal's position is that the field's most significant problems cannot be addressed within any single tradition's horizon, and that the burden falls on each submission to demonstrate awareness of the others.

The Legal Forum does not publish position pieces written for advocacy rather than scholarly analysis, and Perspectives does not publish essays whose primary purpose is institutional promotion. All three sections welcome work that complicates, challenges, or dissents from received findings; none publishes work whose argument is reducible to its conclusion.

Editorials

Editorials are the journal's voice. They are where the editorial team articulates positions outside the constraints of peer-reviewed format and frames the field as it evolves — introducing each issue, naming the questions that matter for the period ahead, and marking the journal's own intellectual trajectory across volumes. Each editorial is signed, dated, and citable; each receives its own DOI. Editorials do not substitute for peer-reviewed scholarship, and they do not function as a venue through which the journal takes positions on legal, regulatory, or policy outcomes. They are an editorial framing surface, not a venue for institutional advocacy.

A structured knowledge system

DHR functions as an editorial publication on its surface and a structured knowledge system underneath. The journal's three sections share a non-hierarchical taxonomy of Topics — antisemitism, conspiracy narratives, disinformation, antidemocratic resentment, platform governance, AI and detection, radicalization, and others as the field develops — that aggregates content across Research articles, Legal Forum debates, Perspectives essays, and Editorials. A reader entering through a single topic encounters the work the journal has published on that topic across all three sections in conversation with one another. The taxonomy is how the site works as a hub.

Publication rhythm

DHR publishes two issues per year. Each issue is fully open-access online; each is also produced as a limited print edition, distributed to partner organizations and depository libraries, with a small remainder available to the public on request. The print edition carries the full Research section and a curated selection of contributions from the Legal Forum and Perspectives.

The digital edition is the canonical version, and it is free. The print edition is a companion artifact — slow-reading, archival, deliberately limited — for readers and institutions for whom a bound volume changes how scholarship is read, kept, and cited. Nothing of editorial substance is reserved for it.

Within each year, the Legal Forum and Perspectives publish on a continuous quarterly rhythm online, with the print issues drawing from the material accumulated between them. Editorials are published with each issue of the journal, twice annually. Submissions are rolling: proposals and manuscripts may be submitted at any time and are reviewed continuously, with accepted material published in the next available issue or quarterly batch.

Submissions

DHR maintains separate submission paths for each section. All three flow through ScholarOne.

Research Articles: Authors may submit either a proposal (500–700 words covering research question, theoretical framing, data and methodology, and expected contribution) or a completed manuscript. Research articles are 5,000–10,000 words; Short Essays and Notes are 2,000–4,000 words; longer or multimodal submissions are considered on a case-by-case basis.

Legal Forum: Contributions are 1,000–2,000 words. Authors may propose a contribution to an existing thread or open a new line of debate; specific contribution formats are discussed with the section editor once a proposal is accepted. Short proposals — outlining the core argument and perspective — are reviewed on a rolling basis.

Perspectives: Contributions are 1,000–2,000 words. Authors may pitch a practitioner essay, a policy reflection, an interview or dialogue, or applied field notes. A brief proposal noting format, participants (if applicable), and thematic focus is reviewed on a rolling basis.

Section-specific Author Guides and the Referee Guide for Research are available alongside the submission paths. Begin a submission via Submit a Proposal for work not yet a completed manuscript, or Submit a Manuscript for completed work entering peer review. For full submission guidance across all three sections, see the Submit page.

Review

Research is double-blind peer-reviewed by at least two reviewers, with editorial oversight from the Editor-in-Chief (EiC) and section editors. Reviewers are recruited from across the disciplines the journal spans, with explicit attention to methodological match: a computational paper is reviewed by at least one computational reviewer and at least one substantive-domain reviewer.

The Legal Forum and Perspectives are editorially reviewed rather than peer-reviewed. Editorial review is rigorous — every contribution is read, edited, and signed off by the EiC or a designated section editor — but it is not blinded. The model fits the genre: Legal Forum essays are advocative or doctrinal positions whose authorship is part of what makes them citable, and Perspectives essays carry the authority of their author's institutional position or practice.

All three sections operate under standardized editorial timelines.

TL;DR translation layer

For Research articles, DHR publishes a plain-language summary alongside the article — written for non-specialist readers (policymakers, practitioners, journalists, educators, civil society). Summaries are produced by editorial staff or trained writers (not by the article's authors), reviewed by the EiC, and published after acceptance. They appear in two formats: a long version for flagship and high-policy-relevance articles, and a short inline version on the article page for the rest. Some articles carry no plain-language summary at all, per editorial decision.

The TL;DR is the journal's translation layer. It exists because the research findings of digital hate studies bear directly on the safety of real-world communities, on the resilience of democratic institutions, and on the strength of the legal and educational architectures protecting them — and the people who need those findings are not, in most cases, fluent in the disciplinary conventions in which they are originally published.

DHR aligns with the Committee on Publication Ethics (COPE) standards across all sections. Editorial decisions, peer review, conflict-of-interest handling, complaints procedures, and corrections follow COPE-compliant protocols.

Social media research ethics. Much of the empirical work DHR publishes draws on data from social media platforms. The journal expects authors to address the ethics of data collection, user consent and pseudonymization, platform terms of service, and the responsibilities owed to research subjects who did not knowingly consent to academic study. Submissions involving identifiable individuals or sensitive content are expected to have appropriate institutional review board (IRB) approval.

Conflicts of interest. Authors, editors, reviewers, and members of DHR's editorial board (listed on the Editorial Team page) disclose financial, institutional, and personal conflicts of interest. Editorial decisions on submissions where a conflict is disclosed are handled by another editor.

AI usage policy. Authors using AI tools — including large language models — in the preparation of submissions are expected to disclose the use, indicate the role the tool played, and accept full responsibility for the accuracy, originality, and integrity of the submitted work. AI tools are not listed as authors.

Editorial independence. Editorial decisions are made independently of AddressHate's institutional positions, of partner organizations including The Bright Initiative, and of any funder. Peer review is not influenced by, and does not communicate with, parties outside the formal editorial workflow.

Terminology. DHR's editorial voice uses "digital hate" and "online harm." Author language is preserved where analytically or contextually required — most obviously in the Legal Forum, where "hate speech" functions as a term of art within First Amendment doctrine and adjacent legal scholarship and cannot be replaced. The rule governs the journal's own copy; it does not constrain what authors write within their contributions.

DHR is published by AddressHate. The journal is editorially independent of AddressHate's broader policy and educational work — editorial decisions are made by the EiC, the section editors, and the peer reviewers, not by AddressHate's institutional leadership — but it is institutionally connected to AddressHate's wider effort to build a research-informed response to hate in digital space.

DHR also functions as a hub: a point of integration for a fragmented research community, and a point of connection between that community and the legal, policy, educational, and civic actors who need what it knows. The journal's aim is to foster a constellation of researchers across continents and disciplines who can work in concert rather than in parallel — to produce advances by building on one another's findings rather than discovering them after the fact.

DHR is field infrastructure for the larger community of researchers, legal scholars, practitioners, and institutional actors working on digital hate across continents and traditions. The distinction matters: citations come either way; shared terminology, shared methodological standards, and shared reference points come only when a journal supplies them.

For details on specific partnerships, see the Collaborate page.