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Ask.fm: History & Companies

ASKfm (Ask.fm until 14 January 2016) was a Latvian question and answer network launched in June 2010 as a competitor to Formspring. After registration, the user filled out their profile and could ask questions (anonymously or openly), reply on their profile, create photo polls. Also from 2021, app users could communicate anonymously or openly in public…

Language: English [EN]
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Ask.fm topic overview

The analysis highlights History and Companies as prominent areas in the source structure around Ask.fm.

Related topics
15
Source areas
4
Connected nodes
19
Extracted relationships
11
Concept neighborhoods
6
Bridge connections
19

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

History · 5 topics
Overview · 5 topics
Assistance in the investigation of cyberbullying · 3 topics
Assistance in combating terrorism · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
16 June 2010; 16 years ago (2010-06-16)
Industry
Internet
Headquarters
Latvia
Area served
Worldwide
Available in
49 languages
Current status
Closed since 1 December 2024; 20 months ago (2024-12-01)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Assistance in the investigation of cyberbullying

Assistance in combating terrorism

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.

How Ask.fm connects Entity context

The extracted context around Ask.fm shows recurring relationship patterns in the source. For example, Ask.fm → Worldwide Another extracted example is Ask.fm → 49 languages. Use these groups to spot repeated connection types before inspecting the individual relationships.

Ask.fm

Top relations

Area served · 1
Ask.fm → Worldwide
Available in · 1
Ask.fm → 49 languages
Current status · 1
Ask.fm → Closed since 1 December 2024; 20 months ago (2024-12-01)
Formerly · 1
Ask.fm → Ask.fm (until 14 January 2016)
Founded · 1
Ask.fm → 16 June 2010; 16 years ago (2010-06-16)
Headquarters · 1
Ask.fm → Latvia
Industry · 1
Ask.fm → Internet
Launched · 1
Ask.fm → June 16, 2010; 16 years ago (June 16, 2010) (first incarnation) 2026; 0 years ago (2026) (second incarnation)
Type of business · 1
Ask.fm → Social networking
URL · 1
Ask.fm → https://askfm.app

Important terminology

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

Important terminology

askfm users app also million could 2021 launched ask coins registered site company social 300 vip 2020 photo polls private

Ask.fm relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Ask.fm. Examples in this analysis include Ask.fm → Area served → Worldwide and Ask.fm → Available in → 49 languages. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Ask.fmArea servedWorldwide1.00infobox
Ask.fmAvailable in49 languages1.00infobox
Ask.fmCurrent statusClosed since 1 December 2024; 20 months ago (2024-12-01)1.00infobox
Ask.fmFormerlyAsk.fm (until 14 January 2016)1.00infobox
Ask.fmFounded16 June 2010; 16 years ago (2010-06-16)1.00infobox
Ask.fmHeadquartersLatvia1.00infobox
Ask.fmIndustryInternet1.00infobox
Ask.fmLaunchedJune 16, 2010; 16 years ago (June 16, 2010) (first incarnation) 2026; 0 years ago (2026) (second incarnation)1.00infobox
Ask.fmType of businessSocial networking1.00infobox
Ask.fmURLhttps://askfm.app1.00infobox
Ask.fmUsers300 million1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Ask.fm bring nearby vocabulary together. In this analysis, examples include Fm, Headquarters and Formspring. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Ask.fm
    • Fm
    • Headquarters
    • Formspring
    • Launched
    • Also
    • Anonymously
    • Following
    • Founded
    • Latvia
    • Investigation
    • Network
    • Openly
  • ask.fm
    • Formspring
    • Fm
    • Headquarters
    • Launched
    • Founded
    • Latvia
    • Investigation
    • Network
    • Also
    • Anonymously
    • Following
    • Openly
  • app store
    • Vip
    • Launched
    • Users
    • Coins
    • Chats
    • Openly
    • Answers
    • Private
    • Reached
    • Company
    • Could
    • Million
  • anonymously
    • Openly
    • Could
    • Chats
    • Questions
    • User
    • Ask
    • Photo
    • Polls
    • Private
    • Also
    • App
    • Users
  • formspring
    • Launched
    • Social
    • Founded
    • Headquarters
    • Latvia
    • Investigation
    • Network
    • Site
    • Also
    • Million
    • Users
  • assistance in the investigation of cyberbullying
    • Site
    • Headquarters
    • Latvia
    • Launched
    • Social
    • Million
    • Users

Connections between topic areas Semantic bridges

For Ask.fm, one of the stronger structural bridges in this analysis connects Ask.fm with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Ask.fmOverview · splits 14 ⟂ 6
Ask.fmHistory · splits 14 ⟂ 6
Ask.fmAssistance in the investigation of cyberbullying · splits 16 ⟂ 4
Ask.fmAssistance in combating terrorism · splits 17 ⟂ 3

Map overview Semantic statistics

Ask.fm

Nodes20
Edges19
Triples11
Avg. degree1.9
Density0.1
Components1

Source & methodology

TTTA analyzes the structure around Ask.fm to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Ask.fm · EN edition · Analysis: TopicsToTalkAbout

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