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Datafolha is Grupo Folha's polling institute, founded in 1983 as the research department of Empresa Folha da Manhã S. A., and later on became a separate company able to serve external clients, from 1990. In 1995, it became a separate business unit within Grupo Folha, a group of companies to which newspaper Folha de S.Paulo belongs.
The analysis highlights Companies, Art and Measurement as prominent areas in the source structure around Datafolha.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Datafolha shows recurring relationship patterns in the source. For example, Datafolha → Brazilians, Days, Dilma, Folha, For, Glenn Greenwald, Grupo Folha's, He, July, Michel Temer's, Paulo, Temer, Temer's, The Intercept, Writing Another extracted example is Datafolha → At, Datafolha's, IP, Israeli, March, Paulista Avenue, StoreSmarts, São Paulo, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
folha grupo paulo polling company 2016 de newspaper government became separate protests external folha's institute later thousand million online são
TTTA extracted 31 structured relationships around Datafolha. Examples in this analysis include the gay pride parade → instance of → using an on-the-ground sampling methodology adopted since 2011 to estimate the size of mobile crowds in events and the journalist Alex Cuadros believed that the questions posed to those interviewed had been manipulated to prejudice voters against Rousseff in the impeachment suit brought against her.Luciana Chong → instance of → he and others. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the gay pride parade | instance of | using an on-the-ground sampling methodology adopted since 2011 to estimate the size of mobile crowds in events | 0.80 | text |
| the protests that occurred starting in 2013.The organizers of the protests routinely expressed their displeasure with Datafolha's numbers | instance of | using an on-the-ground sampling methodology adopted since 2011 to estimate the size of mobile crowds in events | 0.80 | text |
| considering them an under-estimation | instance of | using an on-the-ground sampling methodology adopted since 2011 to estimate the size of mobile crowds in events | 0.80 | text |
| the journalist Alex Cuadros believed that the questions posed to those interviewed had been manipulated to prejudice voters against Rousseff in the impeachment suit brought against her.Luciana Chong | instance of | he and others | 0.80 | text |
| a lawyer for Datafolha | instance of | he and others | 0.80 | text |
| defended the polling institute | instance of | he and others | 0.80 | text |
| alleging | instance of | he and others | 0.80 | text |
| Datafolha | related to Anti-government protests of 2016 | March | 0.60 | section |
| Datafolha | related to Anti-government protests of 2016 | Paulista Avenue | 0.60 | section |
| Datafolha | related to Anti-government protests of 2016 | São Paulo | 0.60 | section |
| Datafolha | related to Anti-government protests of 2016 | The | 0.60 | section |
| Datafolha | related to Anti-government protests of 2016 | Datafolha's | 0.60 | section |
The concept neighborhoods around Datafolha bring nearby vocabulary together. In this analysis, examples include Polling, Paulo and Folha. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Datafolha, one of the stronger structural bridges in this analysis connects Datafolha with Controversies. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Datafolha to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Art & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Datafolha · EN edition · Analysis: TopicsToTalkAbout