QualityTimebasedPetacatDateUnreliability

AI Overview😉

  • The potential purpose of this module is to assess the reliability of dates associated with content on a website, such as publication dates, update dates, or dates mentioned in the content. This module, named "QualityTimebasedPetacatDateUnreliability", aims to detect and quantify the unreliability of these dates, which could impact the credibility and trustworthiness of the content.
  • This module could impact search results by down-ranking websites with unreliable or inconsistent date information, as this could indicate a lack of attention to detail, poor content quality, or even an attempt to manipulate search rankings. Conversely, websites with reliable and consistent date information may be viewed as more trustworthy and credible, potentially leading to higher search rankings.
  • To be more favorable for this function, a website could ensure that its date information is accurate, consistent, and regularly updated. This could involve implementing a robust content management system, using standardized date formats, and having a clear policy for updating and archiving content. Additionally, websites could provide clear and transparent information about their content creation and update processes, which could help to build trust with search engines and users alike.

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GoogleApi.ContentWarehouse.V1.Model.QualityTimebasedPetacatDateUnreliability (google_api_content_warehouse v0.4.0)

Unreliable dates signals per Domain+Petacat. go/unreliable-dates-dd NOTE(tomwesolowski): As of now, we can safely keep up to 8 4-bytes fields in this proto due to Laelaps constraint of max. 50k bytes per single value. We keep all the petacats categories for a domain under the same key. The largest sites (Youtube, Wikipedia, Facebook) have up to 1.5k different petacat verticals. 1500 4 8 / 1024 bytes = 46.9k bytes

Attributes

  • contentageReliability (type: number(), default: nil) -
  • dateExposure (type: number(), default: nil) -
  • dateExposureScore (type: number(), default: nil) - This is date_exposure after sigmoid transformation.
  • dateVsContentageDistributionSkew (type: number(), default: nil) - Auxiliary scores. The unreliable_dates_score is a product of these scores excl. date_exposure. The definition for each of the scores you can find at go/unreliable-dates-dd
  • isForumQnaSocialMediaProbability (type: number(), default: nil) -
  • petacatId (type: integer(), default: nil) - go/verticals4
  • unreliableDatesScore (type: number(), default: nil) - This is a final score excl. date exposure component.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.QualityTimebasedPetacatDateUnreliability{
    contentageReliability: number() | nil,
    dateExposure: number() | nil,
    dateExposureScore: number() | nil,
    dateVsContentageDistributionSkew: number() | nil,
    isForumQnaSocialMediaProbability: number() | nil,
    petacatId: integer() | nil,
    unreliableDatesScore: number() | nil
  }

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.