Automated Discord Spam Moderation with AI and Human-in-the-Loop — n8n Workflow

Hoch Komplexität⚡ Auslöser23 Knoten🏷️ Miscellaneous👁 831 Aufrufevon Jimleuk

Übersicht

This n8n template demonstrates how you can automate community moderation using human-in-the-loop functionality for Discord.

The use-case is for detecting and dealing with spam messages in a predefined and consistent way. Human-in-the-loop allows for a balance between overly aggressive bots and time and effort from the moderation team.

How it works A scheduled trigger is used to scan the most recent messages in a Discord Channel. Messages are tagged via the "Remove Duplicates" node so they don'

Verwendete Knoten

DiscordCodeOpenAI Chat ModelText Classifier

Workflow-Vorschau

1. Get Channel Messages
Read more about the scheduled Trigger
The scheduled trigger is used to execute this w
2. Group Messages By User
Learn more about the loop node
When dealing with nested data such as user and messag
3. Spam Detection using AI-powered Text Class
[Learn more about the text classification node](https:/
5. Moderation using Human-in-the-Loop
Read more about n8n's human-fallback functionality
In this step, we can use the "Send and Wait for
6. Execute Moderation Actions
Learn more about the Discord node
Finally, moderation actions can be executed on behalf
4. Concurrent Processing using Subworkflows
Learn more about Subworkflow Trigger
One issue we might come acros
Try it out
This n8n template demonstrates how you can automate com
The use-case is for detecting and dealing with spam mes
model
Spam Detection
Get Recent Messages
O
Only Once
Model
Warn User
Warn User Only
Group By User
F
For Each User...
S
Split Out
Message to List
Notify Moderators with S…
F
Flag as Spam
F
Flag as Not Spam
M
Merge
S
Spam Messages Only
H
Has Flagged Messages?
Get Message IDs
Delete Messages
R
Receive Instructions
M
Moderation Subworkflow
⚡
W
When Executed by Another…
N
No Action Taken
⚡
S
Schedule Trigger
23 nodes24 edges

So funktioniert es

  1. 1

    Auslöser

    Der Workflow startet mit einem auslöser-Auslöser.

  2. 2

    Verarbeitung

    Die Daten fließen durch 23 Knoten, connecting code, discord, executeworkflow.

  3. 3

    Ausgabe

    Der Workflow schließt seine Automatisierung ab und liefert das Ergebnis an das konfigurierte Ziel.

Knotendetails (23)

DI

Discord

discord

#1
CO

Code

code

#2
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#3
TE

Text Classifier

n8n-nodes-langchain.textClassifier

#4

So importieren Sie diesen Workflow

  1. 1Klicken Sie rechts auf die Schaltfläche JSON herunterladen, um die Workflow-Datei zu speichern.
  2. 2Öffnen Sie Ihre n8n-Instanz. Gehen Sie zu Workflows → Neu → Aus Datei importieren.
  3. 3Wählen Sie die heruntergeladene Datei automated-discord-spam-moderation-with-ai-and-human-in-the-loop und klicken Sie auf Importieren.
  4. 4Richten Sie Anmeldedaten für jeden Dienstknoten ein (API-Schlüssel, OAuth usw.).
  5. 5Klicken Sie auf Workflow testen, um zu überprüfen, ob alles funktioniert, und aktivieren Sie es dann.

Oder direkt in n8n → Aus JSON importieren einfügen:

{ "name": "Automated Discord Spam Moderation with AI and Human-in-the-Loop", "nodes": [...], ...}

Integrationen

codediscordexecuteworkflowexecuteworkflowtriggerfilteriflmchatopenaimergeremoveduplicatesscheduletriggersetsplitinbatchessplitoutswitchtextclassifier

Diesen Workflow holen

Herunterladen und mit einem Klick importieren

JSON herunterladenAuf n8n.io ansehen
Knoten23
Komplexitäthigh
Auslösertrigger
Aufrufe831
KategorieMiscellaneous

Erstellt von

Jimleuk

Jimleuk

@jimleuk

Tags

codediscordexecuteworkflowexecuteworkflowtriggerfilteriflmchatopenaimergeremoveduplicatesscheduletrigger
⚡

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