Coalition Attack Detection in Social Network Moderation

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Social network communities face challenges in effectively managing abuse reports, particularly in identifying and preventing coalition attacks where users collude to falsely report policy violations, leading to unfair penalties for innocent members due to the subjective nature of content moderation and limited administrative resources.

Innovation Solution

A system comprising a report handler, source analyzer, and content analyzer that processes abuse reports to identify potential coalition attacks by determining relationships among reporters and their content references to victims, generating notifications for administrative review to prevent unfair penalties.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the central authority manually reviews abuse reports to ensure accurate moderation, then the reliability of content moderation is improved, but the productivity of the moderation system deteriorates due to limited administrative resources

Engineering Contradiction:

Improveaccuracy of abuse report moderationVSAvoidresponse capacity to abuse reports

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent introduces an automated analysis system that acts as an intermediary between users and the central authority. This system analyzes abuse reports, identifies potential coalition attacks by examining relationships among reporters, and provides findings to administrators, thereby reducing their manual review burden while maintaining moderation accuracy

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical manual review process with an automated computational system that uses algorithms to analyze reporter relationships, content patterns, and network connections. This substitution enables the system to process large volumes of reports automatically while preserving the reliability previously achieved through human review

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If the social network provides platforms for free expression of ideas and opinions, then the adaptability and user freedom are improved, but the occurrence of abusive expressions and coalition attacks increases

Engineering Contradiction:

Improvefree expression capabilityVSAvoidabusive expressions and coalition attacks

Core Design Contradiction:

Adaptability or versatilityVSObject-generated harmful factors

Solution Approach 1:

The patent implements a feedback mechanism where the automated system continuously monitors abuse reports, analyzes reporter behavior patterns, and identifies coalition attacks. This feedback loop enables the system to detect and prevent abusive expressions while preserving legitimate free expression, as the automated analysis distinguishes between genuine concerns and coordinated attacks

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS9514494B2Prevention of coalition attacks in social network communities

Publication Date: 2016.12.06 SAP SE

AI summary

A report handler may receive abuse reports from reporters alleging policy violations of network use policies by at least one potential victim, and a source analyzer may determine at least one subset of the reporters. A content analyzer may determine a reference to the at least one potential victim in network activities of the at least one subset, and a review requester may generate a notification of a potential coalition attack against the at least one potential victim, based on the reference in the context of the at least one subset.