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Facebook like button

The like button on the social networking website Facebook was first enabled on February 9, 2009. The like button enables users to easily interact with status updates, comments, photos and videos, links shared by friends, and advertisements. Once clicked by a user, the designated content appears in the News Feeds of that user's friends, and the button…

Applications, Criticism & Use on Facebook

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Research this topic

Explore the main themes, entities and connections around Facebook like button. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

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Overview

Use on Facebook

Criticism

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Facebook like button

Nodes49
Edges48
Triples10
Avg. degree1.96
Density0.040816
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

facebook button like users social user content websites likes reactions advertising use february may one also 2010 including information fake

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
status updatesinstance ofwhere users can like content0.80text
commentsinstance ofwhere users can like content0.80text
photosinstance ofwhere users can like content0.80text
videosinstance ofwhere users can like content0.80text
links shared by friendsinstance ofwhere users can like content0.80text
and advertisementsinstance ofwhere users can like content0.80text
behavioral targeting combined with personally identifiable informationinstance ofreaction as a negative element in algorithmic content ranking.TrackingSocial network like buttons on websites other than their own are often used as web beacons to track user ac…0.80text
and may be considered a breach of Internet privacyinstance ofreaction as a negative element in algorithmic content ranking.TrackingSocial network like buttons on websites other than their own are often used as web beacons to track user ac…0.80text
behavioral targeting combined with personally identifiable informationinstance ofTrackingSocial network like buttons on websites other than their own are often used as web beacons to track user activities for targeted advertising0.80text
and may be considered a breach of Internet privacyinstance ofTrackingSocial network like buttons on websites other than their own are often used as web beacons to track user activities for targeted advertising0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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