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Volume

17K

companies

Data Quality

100%

population

Avail. Formats

.json, .xml, and .csv

File

Coverage

Countries

History

years

[Sample] news_top10.csv

Attribute	Type	Example	Mapping
companyname	String	Alphabet Inc.	Company Name
tickersymbol	String	GOOGL	Stock Ticker
isin	String	US02079K3059	ISIN
sedol	String	BYVY8G0
industry	String	Interactive Media and Services
gl_region	String	United States and Canada
country	String	United States	Country Name
date	String	15/08/2022
year	Integer	2022
url	String	https://www.theguardian.com/stage/2022/aug/15/you-have-to...
source_url	String	https://www.theguardian.com
insider	String	Lawrence Page
outsider	String	The Vanguard Group
ceo	String	Sundar Pichai
body_clean	String	When Yuriko Kotani moved to the UK, she was confounded by...
title_clean	String	You have to be 100 times funnier in Danish: the pitfalls ...
company_rel	Float	0.5
insider_rel	Integer	0
outsider_rel	Integer	0
ceo_rel	Integer	0
sentiment	Float	0.121742362
company_sentiment	Float	0.04
insider_sentiment
outsider_sentiment
ceo_sentiment
GHG_emissions_similarity	Float	0.004217414
GHG_emissions_sentiment
Air_quality_similarity	Integer	0
Air_quality_sentiment
Energy_management_similarity	Integer	0
Energy_management_sentiment
Water_wastewater_management_similarity	Float	0.000740523
Water_wastewater_management_sentiment
Waste_hazardous_management_similarity	Integer	0
Waste_hazardous_management_sentiment
Ecological_impact_similarity	Float	0.001375279
Ecological_impact_sentiment
Human_rights_community_similarity	Float	0.012947901
Human_rights_community_sentiment
Customer_privacy_similarity	Float	0.001539746
Customer_privacy_sentiment
Data_security_similarity	Float	0.001291008
Data_security_sentiment
Access_affordability_similarity	Integer	0
Access_affordability_sentiment
Product_quality_safety_similarity	Float	0.001782081
Product_quality_safety_sentiment
Customer_welfare_similarity	Float	0.002408929
Customer_welfare_sentiment
Selling_practices_product_label_similarity	Float	0.001459717
Labor_practices_similarity	Float	0.000728749
Labor_practices_sentiment
Modern_slavery_similarity	Integer	0
Modern_slavery_sentiment
Employee_health_safety_similarity	Float	0.005581424
Employee_health_safety_sentiment
Employee_engagement_diversity_similarity	Float	0.005901725
Employee_engagement_diversity_sentiment
Gender_equality_similarity	Integer	0
Gender_equality_sentiment
Product_design_lifecycle_similarity	Float	0.011952556
Product_design_lifecycle_sentiment
Business_model_resilience_similarity	Integer	0
Environmental_supply_chain_similarity	Float	0.009775088
Environmental_supply_chain_sentiment
Social_supply_chain_similarity	Integer	0
Social_supply_chain_sentiment
Materials_sourcing_efficiency_similarity	Float	0.012766541
Materials_sourcing_efficiency_sentiment
Physical_impacts_climate_change_similarity	Float	0.006423963
Physical_impacts_climate_change_sentiment
Governance_structures_similarity	Integer	0
Governance_structures_sentiment
Business_ethics_similarity	Integer	0
Business_ethics_sentiment
Competitive_behavior_similarity	Integer	0
Competitive_behavior_sentiment
Management_legal_regulatory_similarity	Integer	0
Management_legal_regulatory_sentiment
Risk_management_similarity	Integer	0
Risk_management_sentiment
Coronavirus_similarity	Float	0.002258277
Coronavirus_sentiment
Sustainable_Development_Goal_1_similarity	Float	0.008516639
Sustainable_Development_Goal_2_similarity	Float	0.002369609
Sustainable_Development_Goal_2_sentiment
Sustainable_Development_Goal_3_similarity	Float	0.004737271
Sustainable_Development_Goal_3_sentiment
Sustainable_Development_Goal_4_similarity	Float	0.007864386
Sustainable_Development_Goal_4_sentiment
Sustainable_Development_Goal_5_similarity	Float	0.012155766
Sustainable_Development_Goal_6_similarity	Float	0.00374642
Sustainable_Development_Goal_6_sentiment
Sustainable_Development_Goal_7_similarity	Float	0.002399584
Sustainable_Development_Goal_7_sentiment
Sustainable_Development_Goal_8_similarity	Float	0.013176175
Sustainable_Development_Goal_8_sentiment
Sustainable_Development_Goal_9_similarity	Float	0.005018624
Sustainable_Development_Goal_9_sentiment
Sustainable_Development_Goal_10_similarity	Float	0.004452601
Sustainable_Development_Goal_10_sentiment
Sustainable_Development_Goal_11_similarity	Float	0.002008527
Sustainable_Development_Goal_11_sentiment
Sustainable_Development_Goal_12_similarity	Float	0.015667952
Sustainable_Development_Goal_12_sentiment
Sustainable_Development_Goal_13_similarity	Float	0.003855009
Sustainable_Development_Goal_13_sentiment
Sustainable_Development_Goal_14_similarity	Float	0.001929291
Sustainable_Development_Goal_15_similarity	Float	0.002267753
Sustainable_Development_Goal_15_sentiment
Sustainable_Development_Goal_16_similarity	Float	0.009328917
Sustainable_Development_Goal_16_sentiment
Sustainable_Development_Goal_17_similarity	Float	0.002170527
Sustainable_Development_Goal_17_sentiment
Controversial_weapons_similarity	Integer	0
GHG_emissions_tag	Integer	0
Air_quality_tag	Integer	0
Energy_management_tag	Integer	0
Water_wastewater_management_tag	Integer	0
Waste_hazardous_management_tag	Integer	0
Ecological_impact_tag	Integer	0
Environmental_supply_chain_tag	Integer	0
Materials_sourcing_efficiency_tag	Integer	0
Physical_impacts_climate_change_tag	Integer	0
Sustainable_Development_Goal_2_tag	Integer	0
Sustainable_Development_Goal_6_tag	Integer	0
Sustainable_Development_Goal_7_tag	Integer	0
Sustainable_Development_Goal_9_tag	Integer	0
Sustainable_Development_Goal_11_tag	Integer	0
Sustainable_Development_Goal_12_tag	Integer	0
Sustainable_Development_Goal_13_tag	Integer	0
Sustainable_Development_Goal_14_tag	Integer	0
Sustainable_Development_Goal_15_tag	Integer	0
Human_rights_community_tag	Integer	0
Customer_privacy_tag	Integer	0
Data_security_tag	Integer	0
Access_affordability_tag	Integer	0
Product_quality_safety_tag	Integer	0
Customer_welfare_tag	Integer	0
Selling_practices_product_label_tag	Integer	0
Labor_practices_tag	Integer	0
Modern_slavery_tag	Integer	0
Employee_health_safety_tag	Integer	0
Employee_engagement_diversity_tag	Integer	0
Gender_equality_tag	Integer	0
Product_design_lifecycle_tag	Integer	0
Social_supply_chain_tag	Integer	0
Sustainable_Development_Goal_1_tag	Integer	0
Sustainable_Development_Goal_3_tag	Integer	0
Sustainable_Development_Goal_4_tag	Integer	0
Sustainable_Development_Goal_5_tag	Integer	0
Sustainable_Development_Goal_8_tag	Integer	0
Sustainable_Development_Goal_10_tag	Integer	0
insider_tag	Integer	0
outsider_tag	Integer	0
ceo_tag	Integer	0
Business_model_resilience_tag	Integer	0
Governance_structures_tag	Integer	0
Business_ethics_tag	Integer	0
Competitive_behavior_tag	Integer	0
Management_legal_regulatory_tag	Integer	0
Risk_management_tag	Integer	0
Coronavirus_tag	Integer	0
Sustainable_Development_Goal_16_tag	Integer	0
Sustainable_Development_Goal_17_tag	Integer	0
Controversial_weapons_tag	Integer	0
e_num_topics	Integer	0
s_num_topics	Integer	0
g_num_topics	Integer	0
GHG_emissions_string
Air_quality_string
Energy_management_string
Water_wastewater_management_string
Waste_hazardous_management_string
Ecological_impact_string
Environmental_supply_chain_string
Materials_sourcing_efficiency_string
Physical_impacts_climate_change_string
Sustainable_Development_Goal_2_string
Sustainable_Development_Goal_6_string
Sustainable_Development_Goal_7_string
Sustainable_Development_Goal_9_string
Sustainable_Development_Goal_11_string
Sustainable_Development_Goal_12_string
Sustainable_Development_Goal_13_string
Sustainable_Development_Goal_14_string
Sustainable_Development_Goal_15_string
Human_rights_community_string
Customer_privacy_string
Data_security_string
Access_affordability_string
Product_quality_safety_string
Customer_welfare_string
Selling_practices_product_label_string
Labor_practices_string
Modern_slavery_string
Employee_health_safety_string
Employee_engagement_diversity_string
Gender_equality_string
Product_design_lifecycle_string
Social_supply_chain_string
Sustainable_Development_Goal_1_string
Sustainable_Development_Goal_3_string
Sustainable_Development_Goal_4_string
Sustainable_Development_Goal_5_string
Sustainable_Development_Goal_8_string
Sustainable_Development_Goal_10_string
insider_string
outsider_string
ceo_string
Business_model_resilience_string
Governance_structures_string
Business_ethics_string
Competitive_behavior_string
Management_legal_regulatory_string
Risk_management_string
Coronavirus_string
Sustainable_Development_Goal_16_string
Sustainable_Development_Goal_17_string
Controversial_weapons_string
e_topics
s_topics
g_topics

Product Attributes

Attribute	Type	Example	Mapping
Company	String	BP plc	Company Name
URL		https://www.theguardian.com/business/2017/jan/25/oil-dema...
Body		Company predicts 100-fold rise in number of electric cars...
Title		Electric cars will not stem global demand for oil, says BP
Date		2017-01-25
Company Relevance		1.0
GHG Emissions Similarity		0.07
GHG Emissions Sentiment		-0.10

We have built a cutting-edge news system to process the news for all our coverage in real-time. This involves tracking thousands of news sources, social media, and NGOs. We track around 50 ESG news topics including SASB themes and UN SDGs.

We can offer the news data in two formats: 1) News flow: all news flow for our company coverage including articles and tweets. 2) ESG Incidents: highlights any pressing issues that companies are facing in the news. 1) News flow --------------- Our system executes around 100,000 searches per day across the internet. We search specific websites deemed to be high-quality and informationally additive for news about our whole company coverage. These include: • Mainstream publications like Reuters, CNN, CNBC, NBC News etc. • NGO websites such as Ethical Consumer and Anti-Slavery International • Investigative journalist websites like MLex • National papers like the Japan Times • Trade publications like Insurance Journal • Sustainability publications like Edie.net Each article that we download goes through rigorous processing. This includes cleaning the body of the article and adding its metadata e.g., the date that it was published. We then calculate our proprietary “relevance” scores. This is a calculation to determine how relevant the article is to the company, CEO, biggest Insider and biggest Outsider. Natural Language Processing (NLP) techniques are used to calculate the similarity and sentiment scores for each article for each news topic. We use Twitter’s API to download the latest tweets from Thought Leader Accounts. We track over 100 Thought Leaders such as Ceres and Science Based Targets. These tweets are then searched to see if any of our company coverage is mentioned. Afterwards, the same processing and calculation steps are followed as for the news articles. 2) ESG Incidents ------------------- ESG Incidents is the second news feed that we display for users. It is designed to show any pressing issues that a company is facing in the news in real-time. To get ESG Incidents outputs we follow these steps: 1. Choose a time period of news to look at e.g., 3 months. 2. For each news topic (we have around 50) pick out the article(s) that have the highest relevance to a company and the highest similarity score over that time period. We multiply these two scores together to calculate an “Incidence Score”. 3. Calculate how many times that new topic has come up in the news over the chosen time period as a proportion of the total articles for that company. We are then able to see emerging trends and incidents for a particular company over a time period and also have the ability to see the most relevant articles for each news topic. This allows investors to see any emerging incidents or scandals for a company in real-time.

Africa (16)

Botswana

Côte d'Ivoire

Egypt

Ghana

Kenya

Malawi

Mauritius

Morocco

Namibia

Nigeria

Réunion

Togo

Tunisia

Uganda

Zambia

Zimbabwe

Asia (25)

Bangladesh

China

Cyprus

Georgia

Hong Kong

India

Indonesia

Israel

Japan

Jordan

Kazakhstan

Korea (Republic of)

Kuwait

Lebanon

Macao

Malaysia

Mongolia

Pakistan

Philippines

Saudi Arabia

Singapore

Sri Lanka

Thailand

Turkey

Vietnam

Europe (37)

Austria

Belgium

Bulgaria

Croatia

Czech Republic

Denmark

Estonia

Finland

France

Germany

Gibraltar

Greece

Guernsey

Hungary

Iceland

Ireland

Isle of Man

Italy

Jersey

Liechtenstein

Lithuania

Luxembourg

Malta

Monaco

Netherlands

Norway

Poland

Portugal

Romania

Russian Federation

Serbia

Slovenia

Spain

Sweden

Switzerland

Ukraine

United Kingdom

North America (3)

Bermuda

Mexico

United States of America

Oceania (2)

Australia

New Zealand

South America (8)

Argentina

Bahamas

Brazil

Colombia

Jamaica

Peru

Trinidad and Tobago

Virgin Islands (British)

10 years of historical data

17,000

companies

Free sample available

License	Starts at
One-off purchase	Not available
Monthly License	$1,000 / month
Yearly License	$10,000 / year
Usage-based	Not available

Request detailed pricing

Self-reported by the provider

100%

population

Methods

Frequency

Format

ESG Investing

ESG Performance Analysis

Company Analysis

News Data ESG Data

3M Articles Found Daily

249 countries covered

20 years of historical data

Opoint provides global web news data on ESG topics, capturing both controversies and positive stories. Ideal for ESG software providers seeking raw, unfilter...

14K Listed Equities

100% Traceability

249 countries covered

Impact valuation ESG data measuring and quantifying the impact of a company's activities on natural, human capital and financial capital, in $ terms. Based o...

400 High Yield Issuers

99% Accuracy

150 countries covered

Comprehensive ESG data for 400+ high-yield bond issuers across Europe, Latin America, and Asia. 300+ metrics/issuer, and analyst assessments for overall ESG,...

300K News Sites

250 countries covered

16 years of historical data

Access relevant news sources, in 170+ languages going back to 2008. 3.5M+ daily news articles, driving near real-time results. Get more insights with big n...

What is GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?

What is GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes used for?

This product has 3 key use cases. GaiaLens recommends using the data for ESG Investing, ESG Performance Analysis, and Company Analysis. Global businesses and organizations buy News Data from GaiaLens to fuel their analytics and enrichment.

Who can use GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for News Data. Get in touch with GaiaLens to see what their data can do for your business and find out which integrations they provide.

How far back does the data in GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes go?

This product has 10 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes cover?

This product includes data covering 91 countries like USA, China, Japan, Germany, and India. GaiaLens is headquartered in United Kingdom.

How much does GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes cost?

Pricing for GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes starts at USD1,000 per month. Connect with GaiaLens to get a quote and arrange custom pricing models based on your data requirements.

How can I get GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?

Businesses can buy News Data from GaiaLens and get the data via Email and REST API. Depending on your data requirements and subscription budget, GaiaLens can deliver this product in .json, .xml, .csv, .xls, and .txt format.

What is the data quality of GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?

GaiaLens has reported that this product has the following quality and accuracy assurances: 100% population. You can compare and assess the data quality of GaiaLens using Datarade’s data marketplace.

What are similar products to GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?

This product has 3 related products. These alternatives include News Data on ESG Topics Web Data ESG Data 235K+ Sources / 3M+ Articles Daily ESG Risk Information, ESG Data Impact Investing Data 14000+ Companies Monetized Impacts on Natural, Human & Financial Capital, and ESG Data 300+ ESG Metrics 400+ Europe, LatAm, Asia Bond Issuers ESG Investing Sustainability ESG Reporting Regulatory Compliance. You can compare the best News Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

$1,000 / month

License	Starts at
One-off purchase	Not available
Monthly License	$1,000 / month
Yearly License	$10,000 / year
Usage-based	Not available

Verified Provider

GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

GaiaLens
Using technology to simplify ESG

GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

GaiaLens Using technology to simplify ESG

GaiaLens
Using technology to simplify ESG