Global Artificial Intelligence News Headlines (GAIN-H) Corpus (doi:10.7910/DVN/7C6FNO)

View:

Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Global Artificial Intelligence News Headlines (GAIN-H) Corpus

doi:10.7910/DVN/7C6FNO

Harvard Dataverse

2026-06-05

1

Samuel, Jim; Siritha Chidipothu; Khanna, Tanya; Lakra, Ashish; Vidhi Gala, 2026, "Global Artificial Intelligence News Headlines (GAIN-H) Corpus", https://doi.org/10.7910/DVN/7C6FNO, Harvard Dataverse, V1, UNF:6:Axjbvx2xbD9mrqy6cDc5Jw== [fileUNF]

Global Artificial Intelligence News Headlines (GAIN-H) Corpus

doi:10.7910/DVN/7C6FNO

Samuel, Jim

Siritha Chidipothu

Khanna, Tanya

Lakra, Ashish

Vidhi Gala

Jim Samuel

Tanya Khanna

Ashish Lakra

Vidhi Gala

Harvard Dataverse

2026-06-03

https://doi.org/10.7910/DVN/7C6FNO

Computer and Information Science, Social Sciences

The Global Artificial Intelligence News Headlines (GAIN-H) is an open-access public informatics collection of three complementary datasets containing over 2.5 million artificial intelligence-related news headlines gathered from global news sources across multiple languages, countries, and time periods. The repository was created to support interdisciplinary research on how artificial intelligence is represented, framed, and discussed within the public sphere. The collection includes: (1) a metadata-rich corpus with temporal, linguistic, and URL-structural features; (2) a large-scale longitudinal corpus optimized for temporal analysis; and (3) an extended multilingual corpus containing search-term metadata that enables keyword-stratified analysis of AI discourse. Together, these datasets span more than two decades of AI-related news coverage and provide researchers with resources for studying media framing, sentiment, public discourse, AI governance, communication, computational social science, and natural language processing. The repository is intended for researchers, policymakers, educators, journalists, practitioners seeking to examine trends in AI-related media coverage across time, geography, language, and thematic domains. The datasets are released to promote transparency, reproducibility, and evidence-based research on the societal implications of artificial intelligence. The datasets were developed as part of the RAISE (Rethinking AI for Shared Empowerment) initiative at the MPI Program, Bloustein School, Rutgers University, and AIXosphere AI behavioral trends research.

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

• Number of cases: 60168

• No. of variables per record: 19

• Type of File: text/tab-separated-values

UNF:6:QQyeZ85+ugQm8lFmZK+2kg==

• Number of cases: 277428

• No. of variables per record: 5

• Type of File: text/tab-separated-values

UNF:6:XXazCN8Yef4e/4Y+gOXORw==

• title - title
• link - link
• date - date
• source - source
• country - country
• language - language
• translated_title - translated_title
• Day_of_Week - Day_of_Week
• Month - Month
• Year - Year
• Quarter - Quarter
• Is_Weekend - Is_Weekend
• Is_Holiday - Is_Holiday
• Final_URL - Final_URL
• Domain - Domain
• Subdomain - Subdomain
• URL_Depth - URL_Depth
• TLD - TLD
• URL_Length - URL_Length
• No - No
• date - date
• title - title
• source - source
• language - language

f13987192 Location:

Variable Format: character

Notes: UNF:6:26wk+LUGYCDgWILd4tnztQ==

f13987192 Location:

Variable Format: character

Notes: UNF:6:5E7XNebf6GEquZbtPkNlFA==

f13987192 Location:

Variable Format: character

Notes: UNF:6:5gQnKs9SP/zTsWmgTdGMmA==

f13987192 Location:

Variable Format: character

Notes: UNF:6:TLn38oRKPcjCl9kYC2AZ+Q==

f13987192 Location:

Variable Format: character

Notes: UNF:6:gBn/G7CYcefEuaCSgz3pPQ==

f13987192 Location:

Variable Format: character

Notes: UNF:6:WgrKGkA/mUfMd4rwECAHRQ==

f13987192 Location:

Variable Format: character

Notes: UNF:6:TfbqA5k7fZYhb5AfoNnAig==

f13987192 Location:

Variable Format: character

Notes: UNF:6:o0kOWNKx6gXOfOlxvuhvEA==

f13987192 Location:

Summary Statistics: StDev 3.338992393720864; Max. 12.0; Mean 6.914589150378958; Min. 1.0; Valid 60168.0;

Variable Format: numeric

Notes: UNF:6:RLP/1zR+OsX6M6o1nsthgg==

f13987192 Location:

Summary Statistics: Max. 2023.0; StDev 0.8736259495169177; Min. 2020.0; Valid 60168.0; Mean 2022.3023201701901

Variable Format: numeric

Notes: UNF:6:uBmEEb+IS6DlmzWqc4lQaQ==

f13987192 Location:

Summary Statistics: StDev 1.116907303049801; Mean 2.6526891370828385; Min. 1.0; Max. 4.0; Valid 60168.0;

Variable Format: numeric

Notes: UNF:6:U1ZY07K/Ifzc776gTdFGCA==

f13987192 Location:

Variable Format: character

Notes: UNF:6:D3hbJiTgOjm4/3+os4DJvw==

f13987192 Location:

Variable Format: character

Notes: UNF:6:H45u+iRQBnz6QycMimIhzQ==

f13987192 Location:

Variable Format: character

Notes: UNF:6:YTRLSKdM3xzD9VXNSEah3Q==

f13987192 Location:

Variable Format: character

Notes: UNF:6:a9YZ9zXdzoSaLYveliccPQ==

f13987192 Location:

Variable Format: character

Notes: UNF:6:QIRgzLt9nXawZodYUuKUdA==

f13987192 Location:

Variable Format: character

Notes: UNF:6:UHlDOvSxIPqidhBKqU0iBw==

f13987192 Location:

Variable Format: character

Notes: UNF:6:nMqIqkm849U3F8xPRFzewg==

f13987192 Location:

Variable Format: character

Notes: UNF:6:YHnZD3W3tnsO3eFxvxjysA==

f13989194 Location:

Summary Statistics: StDev 80086.70957780698; Valid 277428.0; Max. 277427.0; Mean 138713.5; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:rGhDWMhiBGv3ZHaAaoThqg==

f13989194 Location:

Variable Format: character

Notes: UNF:6:jQlztzPc0mMwwxHlm8Puvw==

f13989194 Location:

Variable Format: character

Notes: UNF:6:+uLI5FQyWW0pa866Tv8pWA==

f13989194 Location:

Variable Format: character

Notes: UNF:6:dg6f0KiurzvTSZwOvxOdLg==

f13989194 Location:

Variable Format: character

Notes: UNF:6:0epXYrTBdWLrDj790OJRCw==

Label:

Global Artificial Intelligence News Headlines (GAIN-H) Corpus Dataset 3.csv

text/comma-separated-values