Socioeconomic Tracker Using Unconventional Data by European Commission Joint Research Centre (JRC) | Academic Research

About this Dataset

Socioeconomic Tracker Using Unconventional Data

Modern economies and societies produce massive datasets that need to be analysed using new modelling techniques. In particular, measuring the informational content of text in economic and social news is useful for market participants and societies to adjust their perception and expectations on the dynamics of future events and trends, thus significantly influencing policy-makers’ perception and decisions. Social media and news may provide a larger set of information than standard lower frequency socio-economic indicators. This dataset collects various unconventional datasets extracted from news and social media (JRC computations) which have the potential of bringing together insights on different socio-economic trends.
Publisher name: Joint Research Centre
Publisher URL: https://commission.europa.eu/about/departments-and-executive-agencies/joint-research-centre
Last updated: 2024-10-09T19:36:06Z

Tables

News Data From GDELT

@ecjrc.f7be47f7_49a2_44e8_9dc8_043735af4139.news_data_from_gdelt

49.35 MB
813422 rows
14 columns


CREATE TABLE news_data_from_gdelt (
  "date" TIMESTAMP,
  "year" BIGINT,
  "month" BIGINT,
  "day" BIGINT,
  "tone_doc_count" VARCHAR,
  "popularity_rate" VARCHAR,
  "tone_avg" VARCHAR,
  "tone_w_avg" VARCHAR,
  "tone_cum" VARCHAR,
  "amd1code" VARCHAR,
  "country" VARCHAR,
  "area" VARCHAR,
  "ref_time" VARCHAR,
  "topic" VARCHAR
);

Web Searches Data

@ecjrc.f7be47f7_49a2_44e8_9dc8_043735af4139.web_searches_data

3.89 MB
197802 rows
7 columns


CREATE TABLE web_searches_data (
  "indicator" VARCHAR,
  "category_name" VARCHAR,
  "category" BIGINT,
  "geo" VARCHAR,
  "date" VARCHAR,
  "value_cat_sum" DOUBLE,
  "value_cat_mean" DOUBLE
);

Newspaper Sentiment

@ecjrc.f7be47f7_49a2_44e8_9dc8_043735af4139.newspaper_sentiment

1022.15 KB
271566 rows
5 columns


CREATE TABLE newspaper_sentiment (
  "date" TIMESTAMP,
  "topic" VARCHAR,
  "country" VARCHAR,
  "volume" BIGINT,
  "sentiment" DOUBLE
);