Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| From Abuse to Action: Community Management Playbook for High-Profile Deepfake Victims | 5 | — | 0 | 5 | 5 100% |
| From Password Resets to Platform Chaos: Prevention Strategies for Mass Account Vulnerabilities | 4 | — | 0 | 4 | 4 100% |
| How to Communicate Moderation Failures Transparently Without Fueling Outrage | 3 | — | 0 | 3 | 3 100% |
| Hardening Your Social Platform Against Account Takeovers and Policy-Violation Attacks | 3 | — | 0 | 3 | 3 100% |
| Building Automated Evidence Chains: Proving Deepfake Origin for Legal Use | 3 | — | 0 | 3 | 3 100% |
| Provenance Headers and UGC: Integrating Creator-Paid Training Flags into Your API | 3 | — | 0 | 3 | 3 100% |
| Data Marketplaces and Responsible AI: Lessons from Cloudflare’s Human Native Acquisition | 3 | — | 0 | 3 | 3 100% |
| When Moderation Meets Law: What Community Safety Teams Need to Know About Defamation and Deepfake Claims | 3 | — | 0 | 3 | 3 100% |
| A Developer’s Guide to Safe File-Enabled Assistants: Lessons from Claude Cowork | 3 | — | 0 | 3 | 3 100% |
| Designing a Moderation Pipeline | 2 | — | 0 | 2 | 2 100% |
| Optimizing Multistream Performance: Caching, Bandwidth, and Edge Strategies for 2026 | 2 | — | 0 | 2 | 2 100% |
| When Your LLM Assistant Has File Access: Security Patterns from Claude Cowork Experiments | 2 | — | 0 | 2 | 2 100% |
| Designing a Moderation Pipeline to Stop Deepfake Sexualization at Scale | 2 | — | 0 | 2 | 2 100% |
| vertical-first | 1 | — | 0 | 1 | 1 100% |
| Bluetooth LE ranges and more reliable Wi‑Fi mesh | 1 | — | 0 | 1 | 1 100% |
| multi platform distribution | 1 | — | 0 | 1 | 1 100% |
| moderation pipeline design | 1 | — | 0 | 1 | 1 100% |
| cross-platform measurement | 1 | — | 0 | 1 | 1 100% |
| Designing Compensation Models for Creators in AI Training Pipelines | 1 | — | 0 | 1 | 1 100% |
| Reduced bandwidth & cost | 1 | — | 0 | 1 | 1 100% |
| optimizing multistream performance | 1 | — | 0 | 1 | 1 100% |
| Field Guide: Micro‑Rigs & Portable Streaming Kits | 1 | — | 0 | 1 | 1 100% |
| How to Run an Ethical Audit of Your Generative Models After Public Abuse Reports | 1 | — | 0 | 1 | 1 100% |
| API-first, event-driven integration patterns | 1 | — | 0 | 1 | 1 100% |
| Post-Lawsuit Risk Modeling: How Legal Claims Against AI Affect Moderation Roadmaps | 1 | — | 0 | 1 | 1 100% |
| designing a moderation pipeline to stop deepfake sexualization | 1 | — | 0 | 1 | 1 100% |
| share they’re live on Twitch | 1 | — | 0 | 1 | 1 100% |
| Video-first republishing | 1 | — | 0 | 1 | 1 100% |
| Night Cameras & Sensors — Field Review (2026) | 1 | — | 0 | 1 | 1 100% |
| Building a Consent-First Moderation Flow for Chaotic Live Chats (2026 Patterns) | 1 | — | 0 | 1 | 1 100% |
| multistream and edge strategies | 1 | — | 0 | 1 | 1 100% |
| adaptive rate limiting | 1 | — | 0 | 1 | 1 100% |
| Streaming licensing (excluding owned/operated platforms) | 1 | — | 0 | 1 | 1 100% |
| Buyer’s Update: Portable Heat & Safety Kits for Nighttime Stream Crews (2026) | 1 | — | 0 | 1 | 1 100% |
| From Password Resets to Platform Chaos: Prevention Strategies | 1 | — | 0 | 1 | 1 100% |
| podcast crossover and serialized fandom essays | 1 | — | 0 | 1 | 1 100% |
| multistream performance | 1 | — | 0 | 1 | 1 100% |
| low-latency social signal | 1 | — | 0 | 1 | 1 100% |
| Building a Consent-First Moderation Flow for Chaotic Live Chats | 1 | — | 0 | 1 | 1 100% |
| Optimize for page speed | 1 | — | 0 | 1 | 1 100% |
| observability | 1 | — | 0 | 1 | 1 100% |
| multi-platform export | 1 | — | 0 | 1 | 1 100% |
| Nebula IDE 2026: Who Should Use It? | 1 | — | 0 | 1 | 1 100% |
| streamers prioritize franchises | 1 | — | 0 | 1 | 1 100% |
| edge provider | 1 | — | 0 | 1 | 1 100% |
| S3/Cloudflare R2 | 1 | — | 0 | 1 | 1 100% |
| 99 million digital viewers | 1 | — | 0 | 1 | 1 100% |
| low-latency match streams | 1 | — | 0 | 1 | 1 100% |
| edge | 1 | — | 0 | 1 | 1 100% |
| Designing Prompt-Monitoring Systems to Stop Malicious Grok Prompts | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to trolls.cloud?
This page shows all anchor texts found in backlinks pointing to trolls.cloud, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe trolls.cloud.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does trolls.cloud have?
The anchor text report for trolls.cloud displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.