twitter-algorithm/visibilitylib
twitter-team ef4c5eb65e Twitter Recommendation Algorithm
Please note we have force-pushed a new initial commit in order to remove some publicly-available Twitter user information. Note that this process may be required in the future.
2023-03-31 17:36:31 -05:00
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src/main Twitter Recommendation Algorithm 2023-03-31 17:36:31 -05:00
BUILD Twitter Recommendation Algorithm 2023-03-31 17:36:31 -05:00
README.md Twitter Recommendation Algorithm 2023-03-31 17:36:31 -05:00

Overview

Visibility Filtering is a centralized rule engine that instructs clients how to alter the display of certain Twitter content on read time. The Visibility Filtering library is responsible for filtering Twitter content to support legal compliance, improve product quality, increase user trust, protect revenue through the use of hard-filtering, visible product treatments, and coarse-grained downranking.

Notice

Visibility Filtering library is currently being reviewed and rebuilt, and part of the code has been removed and is not ready to be shared yet. The remaining part of the code needs further review and will be shared once its ready. Also code comments have been sanitized.

SafetyLevel

Represents the product context in which the Viewer is requesting to view the Content (e.g. Timeline, Profile).

Features

Include safety labels and other metadata of a Tweet, flags set on a User (including the Viewer), relationships between Users (e.g. block, follow), User settings, relationships between Users and Content (e.g. reported for spam).

Action

The way the Visibility Framework instructs the client to respond to the Viewers request for Content, and can include hard filtering (e.g. Drop), soft filtering (e.g. Labels and Interstitials), ranking clues, etc.

Condition

Returns a boolean when given map of Features. Conditions can be combined to determine if a Rule should return an Action or the default (Allow).

Policy

Rules are expressed as a sequence in priority order to create a Visibility Policy. The library has one policy per SafetyLevel.

RuleEngine

Evaluates the Action for a Request.

SafetyLabel

A primary labeling mechanism for Safety. A labeled entity associates with tweet, user, Direct Message, media, space etc. Safety labels power different ways of remediations (e.g. applying a SafetyLabel that results in tweet interstitial or notice).

SafetyLabelType

Describes a particular policy violation for a given noun instance, and usually leads to reduced visibility of the labeled entity in product surfaces. There are many deprecated, and experimental safety label types. Labels with these safety label types have no effect on VF. Additionally, some safety label types are not used, and not designed for VF.